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  • PhD Thesis Proposal - Matthew Ferland

    Thu, Feb 01, 2024 @ 12:30 AM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Event: PhD Thesis Proposal (Matthew Ferland)
     
    Committee: Shanghua Teng, David Kempe, Jiapeng Zhang, Shaddin Dughmi, and Larry Goldstein
     
    Date: February 1, 2024, 12:30pm – 2:00pm
     
    Title: Exploring the complexity landscape of combinatorial games
     
    Abstract: People have been playing games since before written history, and many of the earliest games were combinatorial games, that is to say, games of perfect information and no chance. This type of game is still widely played today, and many popular games of this type, such as Chess and Go, are some of the most studied games of all time. This proposed work resolves around a game-independent systemic study of these games, involving computational properties involving evaluating the mathematical analysis tools, such as sprague-grundy values and switches, as well identifying what can be determined about these games under simple oracle models.
     
     
     

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • NL Seminar -Harnessing Black-Box Control to Boost Commonsense in LM's Generation

    Thu, Feb 01, 2024 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Yufei Tian, UCLA

    Talk Title: Harnessing Black-Box Control to Boost Commonsense in LM\'s Generation

    Series: NL Seminar

    Abstract: REMINDER: This talk will be a live presentation only, it will not be recorded.  Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please provide your: Full Name, Title and Name of Workplace to (nlg-seminar-host(at)isi.edu) beforehand so we’ll be aware of your attendance. Also, let us know if you plan to attend in-person or virtually. More Info for NL Seminars can be found at: https://nlg.isi.edu/nl-seminar/  Large language models like Alpaca and GPT-3 generate coherent texts but sometimes lack commonsense, yet improving their commonsense via fine-tuning is resource expensive in terms of both data and computation. In this talk, I\'ll present BOOST, a resource-efficient framework that steers a frozen Pre-Trained Language Model (PTLM) towards more reasonable outputs. This involves creating an interpretable and reference-free evaluator that assigns a sentence with a commonsensical score which grounds the sentence to a dynamic commonsense knowledge base. Using this evaluator as a guide, we extend the NADO controllable generation method to train an auxiliary head that improves the PTLM\'s output. Our framework was tested on various language models, including GPT-2, Flan-T5, and Alpaca-based models. On two constrained concept-to-sentence benchmarks, human evaluation results show that BOOST consistently generates the most commonsensical content. Finally, I will demonstrate how ChatGPT outputs are different from and sometimes less favored than our outputs.

    Biography: Yufei Tian is a CS PhD student at UCLA advised by Prof. Nanyun (Violet) Peng. Her research is centered around creative and controllable text generation, machine reasoning and its interaction with cognitive science, as well as designing evaluation metrics for open-ended NLG tasks. She is supported by the UCLA-Amazon fellowship program.

    Host: Jon May and Justin Cho

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://www.youtube.com/watch?v=WTIKszPDzDk

    Location: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689

    WebCast Link: https://www.youtube.com/watch?v=WTIKszPDzDk

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

    Event Link: https://nlg.isi.edu/nl-seminar/

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  • PhD Defense - KR Zentner

    Thu, Feb 01, 2024 @ 02:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Leveraging Cross-Task Transfer in Sequential Decision Problems: Scalable Reinforcement Learning for Robotics          
     
    Defense Committee:  Gaurav Sukhatme (chair), Heather Culbertson, Stefanos Nikolaidis, Laurent Itti, Bhaskar Krishnamachari           
     
    Date: Feb 1, 2024, 2 p.m. - 4 p.m.  - RTH 217       
     
    Abstract: The past few years have seen an explosion of interest in using machine learning to make robots capable of learning a diverse set of tasks. Potentially, these robots could operate in close proximity to humans, assisting humans with a wide variety of needs and being instructed to perform new tasks as needed. However, these robots generally use Reinforcement Learning to learn detailed sub-second interactions, but consequently require large amounts of data for each task. In this thesis we explore how Reinforcement Learning can be combined with Transfer Learning to re-use data across tasks. We begin by reviewing the state of Multi-Task and Meta RL and describe the motivations for using Transfer Learning. Then, we describe a basic framework for using Transfer Learning to efficiently learn multiple tasks, and show how it requires predicting how effectively transfer can be performed across tasks. Next, we present a simple rule, based in information theory, for predicting the effectiveness of Cross-Task Transfer, which we call the \"Transfer Cost Rule.\" We discuss the theoretical implications of that rule, and show various quantitative evaluations of it. Then, we show two directions of work making use of our insights to perform efficient Transfer Reinforcement Learning. The first of these directions uses Cross-Task Co-Learning and Plan Conditioned Behavioral Cloning to share skill representations produced by a Large Language Model, and is able to learn many tasks from a single demonstration each in a simulated environment. The second of these directions uses Two-Phase KL Penalization to enforce a (potentially off-policy) trust region. These advances in Transfer RL may enable robots to be used in a wider range of applications, such as in the home or office. The insight provided by the Transfer Cost Rule may also be relevant to a wide audience of Reinforcement Learning practitioners, since it provides a practical and theoretically grounded explanation for the performance of Deep Reinforcement Learning algorithms.      
     
    Zoom link: https://usc.zoom.us/j/96965616504?pwd=QngwQTJsTXJkbXJJNU9hRVV2Mk1DQT09   

    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/96965616504?pwd=QngwQTJsTXJkbXJJNU9hRVV2Mk1DQT09

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  • Preparing for the Career & Internship Expo

    Thu, Feb 01, 2024 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
    Increase your preparedness for the Career & Internship Expo by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    Zoom link:  https://usc.zoom.us/meeting/register/tJElc-CrpzsuEtFJDe8q8IP-qlj4DLN5xdkp
    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.zoom.us/meeting/register/tJElc-CrpzsuEtFJDe8q8IP-qlj4DLN5xdkp

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  • 2024 Advanced Writing Symposium

    Fri, Feb 02, 2024

    Engineering in Society Program

    Workshops & Infosessions


    This one-day ONLINE SYMPOSIUM aims to bring together teachers of advanced and/or upper-division college composition courses to discuss innovative methods and best practices for widening and strengthening student engagement with diverse genres and audiences. Registration is free and open to all.

    Location: Online

    Audiences: Everyone Is Invited

    Contact: Helen Choi

    Event Link: https://dornsife.usc.edu/the-writing-program/2024-advanced-writing-symposium/

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 02, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Alfred E. Mann Department of Biomedical Engineering

    Fri, Feb 02, 2024 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michael Elowitz, Howard Hughes Medical Institute Investigator and Professor of Biology and Biological Engineering and Applied Physics at Caltech

    Talk Title: Many to many protein networks: modules of multicellularity

    Abstract: In multicellular organisms, many biological pathways exhibit a curious structure, involving sets of protein variants that bind or interact with one another in a many-to-many fashion. What functions do these seemingly complicated architectures provide. And can similar architectures be useful in synthetic biology. Here, I will discuss recent work in our lab that shows how many to many circuits can function as versatile computational devices, explore the roles these computations play in natural biological contexts, and show how many-to-many architectures can be used to design synthetic multicellular behaviors. 
     

    Biography: Michael Elowitz is a Howard Hughes Medical Institute Investigator and Professor of Biology and Biological Engineering, and Applied Physics at Caltech. Dr. Elowitz\'s laboratory has introduced synthetic biology approaches to build and understand genetic circuits in living cells and tissues. As a graduate student with Stanislas Leibler, Elowitz developed the Repressilator, an artificial genetic clock that generates gene expression oscillations in individual E. coli cells. Since then, he has continued to design and build synthetic genetic circuits, bringing a “build to understand” approach to bacteria, yeast, and mammalian cells. He and his lab showed that gene expression is intrinsically stochastic, or ‘noisy’, and revealed how noise functions to enable probabilistic differentiation, time-based regulation, and other functions. Currently, Elowitz’s lab is bringing synthetic approaches to understand and program cell-cell communication, epigenetic memory and cell fate control, and to provide foundations for future therapeutic devices. His lab also co-develops the synthetic “MEMOIR” system that allows cells to record their own lineage histories. Elowitz received his PhD in Physics from Princeton University and did postdoctoral research at Rockefeller University. Honors include the HFSP Nakasone Award, MacArthur Fellowship, Presidential Early Career Award, Allen Distinguished Investigator Award, the American Academy of Arts and Sciences, and election to the National Academy of Sciences.

    Host: Peter Wang

    Location: Olin Hall of Engineering (OHE) - 100 B

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

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  • PhD Thesis Proposal - Hsien-Te Kao

    Fri, Feb 02, 2024 @ 01:00 PM - 02:30 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Committee: Emilio Ferrara (Chair), Kristina Lerman, Phebe Vayanos, Souti Chattopadhyay, Ruishan Liu  
     
    Date and Time: Friday, February 2, 2024, 1:00 PM - 2:30 PM PST - RTH 115
     
    Title: Cold Start Prediction in Personalized mHealth  
     
    Abstract: Mobile health has brought fundamental changes to the healthcare industry, offering new hope in addressing growing healthcare expenditures, opportunity costs, and labor shortages. Machine learning is driving mobile health towards decentralized healthcare by automating health monitoring, diagnosis, and treatment. Personalized mobile health systems are a key component in advancing patient-centric healthcare, but these systems remain unfeasible outside of hospital settings because personal health data is largely inaccessible, uncollectible, and regulated. In this proposal, we introduce a personalized mobile health system to predict individual health status without user context through a set of mobile, wearable, and ubiquitous technologies. The model leverages collaborative filtering to replace missing user context with learned similar group characteristics, where user similarity is captured through multiple dimensions of cognitive appraisal based on a combination of psychology theories. The system eliminates user dependence through passive feedback that satisfies real-world constraints. Our preliminary results demonstrate a proof-of-concept system.

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Photonics SEminar - Jie Qiao, Friday, Feb 2nd at 3pm in EEB 248

    Fri, Feb 02, 2024 @ 03:00 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jie Qiao, Rochester Institute of Technology

    Talk Title: Ultrafast-Lasers-Enabled Photonics, Optics, and Waveguide Lasers

    Series: Photonics Seminar Series

    Abstract: The investigation into ultrafast-laser-based photonics fabrication and integration represents multifaceted interdisciplinary research, intersecting applied physics, photonics, lasers, materials, and imaging.  This presentation describes computational models and elucidates physical processes pertaining to the utilization of ultrafast lasers for the fabrication of optical, photonic, and laser components. Topics covered include the 3D writing of waveguides, waveguide lasers, and beam splitters in crystal and glass materials, as well as nanostructuring, shape correction, and the precision bonding of semiconductor and dielectric materials.

    Biography: Dr. Jie Qiao is an associate professor at the Carlson Center for Imaging Science at the Rochester Institute of Technology.  Her research at RIT focuses on ultrafast laser phonics, wavefront sensing and beam shaping. Prior to joining RIT, she was a laser system scientist at the Department -of-Energy-funded Laboratory for Laser Energetics, the University of Rochester. She led the demonstration of the world\'s first 1.5-meter coherently-phased-grating pulse compressor for the OMEGA EP kilojoule, petawatt lasers. She has worked on technology innovation of various ultrafast laser systems, photonics devices, optical imaging, and metrology systems for two photonic startups and one optics company. She was a Fulbright US research scholar and a visiting professor at the Center for Intense Lasers and Applications (CELIA), Universite Bordeaux, France in the 2022 academic year. Dr. Qiao is an Optica Fellow and was an associate editor for Optics Express from 2018 to 2021. She is the General Chair for the 2024 and 2025 CLEO conference, the Application and Technology Program. She earned her doctoral degree from the Department of Electrical and Computer Engineering, University of Texas, Austin.

    Host: Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris; Hossein Hashemi; Wade Hsu; Mengjie Yu; Wei Wu; Tony Levi; Alan E. Willner; Andrea Martin Armani

    More Information: Jie Qiao Seminar.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Viterbi Career & Internship Expo: Trojan Talks and Demos

    Mon, Feb 05, 2024 @ 10:00 AM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    What is a Trojan Talk?
    -1-hour-long company information sessions (on-campus or virtual)
    -Great way to explore an organization or an industry.
    -Gain insight into open positions and the history, culture, and values of the organization.
     
    What is a Product Demo?
    -1-hour-long company information sessions.
    -Employers demonstrate a company product or service showcase.
     
    Experience a unique opportunity to witness the product in action and gain comprehensive insights into the organization. Pre-registration required on Viterbi Career Gateway: https://viterbicareers.usc.edu/students/gateway/ > Events > Information Sessions   For the most up-to-date information, visit the Career & Internship Expo Website: https://viterbicareers.usc.edu/careerexpo/

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://viterbicareers.usc.edu/careerexpo/

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Feb 05, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • PhD Thesis Proposal - Ayush Jain

    Mon, Feb 05, 2024 @ 04:00 PM - 06:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Thesis Proposal: Ayush Jain
    Date: February 5, 2024 (Monday), 4 pm - 6 pm
    Location: TBD
     
    Committee: Erdem Biyik, Joseph J Lim, Gaurav Sukhatme, Stefanos Nikolaidis, Fefei Qian
     
    Title: Enabling Robust Reinforcement Learning in Challenging Action Spaces
     
    Abstract: The action space of an agent defines its interface to interact with the world. It can take two forms: discrete, as in recommender systems making decisions from millions of choices, or continuous, as in robots actuating control movements. While humans excel at a vast range of action spaces, from deciding between potentially unseen choices to making precise dexterous control like in surgery, conventional reinforcement learning (RL) is limited to simple action spaces beyond which agents fail entirely. Concretely, discrete RL typically assumes a \"static\" action space that never changes, while continuous RL assumes a \"smooth\" action space such that nearby actions have similar consequences. My goal is to alleviate these assumptions to broaden the applicability of RL agents to tasks with challenging action spaces. Thus, I build discrete RL algorithms that can adapt to any available action set and even choose from actions never seen before, such as recommending new items and choosing from unseen toolsets. In continuous action space tasks like robotics, I show how conventional agents get stuck on suboptimal actions due to a challenging action space. To address this, I propose a novel actor-critic algorithm enabling actors to search for more optimal actions.
     

    Location: TBD

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Viterbi Career & Internship Expo: Trojan Talks and Demos

    Tue, Feb 06, 2024 @ 10:00 AM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    What is a Trojan Talk?
    ·       1-hour-long company information sessions (on-campus or virtual)
    ·       Great way to explore an organization or an industry.
    ·       Gain insight into open positions and the history, culture, and values of the organization.
    What is a Product Demo?
    ·       1-hour-long company information sessions.
    ·       Employers demonstrate a company product or service showcase.
    ·       Experience a unique opportunity to witness the product in action and gain comprehensive insights into the organization.
    Pre-registration required on Viterbi Career Gateway: https://viterbicareers.usc.edu/students/gateway/ > Events > Information Sessions
     
    For the most up-to-date information, visit the Career & Internship Expo Website: https://viterbicareers.usc.edu/careerexpo/

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://viterbicareers.usc.edu/careerexpo/

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  • Repeating EventEpstein Institute, ISE 651 Seminar Class

    Tue, Feb 06, 2024 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Grace Owh

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  • CS Colloquium - Nathan Sturtevant (University of Alberta / Amii) - Researching the foundations of heuristic search

    Wed, Feb 07, 2024 @ 09:00 AM - 10:00 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Nathan Sturtevant, University of Alberta / Amii

    Talk Title: Researching the foundations of heuristic search

    Abstract: Although the field of heuristic search is over 50 years old, the last 6-7 years have seen numerous revisions to the foundational algorithms in the field. These include the theories for bidirectional search, for suboptimal search, and for improving the worst-case performance of fundamental algorithms such as A* and IDA*. This talk will give an overview of these new results, demonstrating the changes and their impact, many of which center around the notion of whether re-expansions are allowed during search.
     
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Nathan is a Fellow and Canada CIFAR AI Chair at Amii and a Professor in the Department of Computing Science at the University of Alberta. His research looks broadly at heuristic and combinatorial search problems, including both theoretical and applied approaches, with many applications in games. His work on pathfinding was used in the game Dragon Age: Origins, and will appear in the upcoming Nightingale. Nathan’s work has won the best paper awards at the AAAI, and SoCS conferences, as well as the AI Journal Prominent Paper Award.

    Host: Sven Koenig

    More Info: https://usc.zoom.us/j/6192383533

    Location: https://usc.zoom.us/j/6192383533

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/6192383533

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  • Viterbi Career & Internship Expo: Career Fair (On-Campus)

    Wed, Feb 07, 2024 @ 10:00 AM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    Connect with employers on-campus, hiring for full-time, part-time, and paid internships at this Viterbi-specific recruitment fair!
    Location: Trousdale Parkway and Alumni Park. Join additional activities such as Trojan Talks and Product Demos on February 5th and 6th. The Viterbi Career & Internship Expo is free and open to all students in the USC Viterbi School of Engineering. Don’t forget to bring tailored copies of your resume!
     
    For more information about the Expo: https://viterbicareers.usc.edu/careerexpo/

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://viterbicareers.usc.edu/careerexpo/

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 07, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • CS Colloquium - Chien-Ming Huang (Johns Hopkins University) - Becoming Teammates: Designing Assistive, Collaborative Machines

    Wed, Feb 07, 2024 @ 10:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Chien-Ming Huang , Johns Hopkins University

    Talk Title: Becoming Teammates: Designing Assistive, Collaborative Machines

    Abstract: The growing power in computing and AI promises a near-term future of human-machine teamwork. In this talk, I will present my research group’s efforts in understanding the complex dynamics of human-machine interaction and designing intelligent machines aimed to assist and collaborate with people. I will focus on 1) tools for onboarding machine teammates and authoring machine assistance, 2) methods for detecting, and broadly managing, errors in collaboration, and 3) building blocks of knowledge needed to enable ad hoc human-machine teamwork. I will also highlight our recent work on designing assistive, collaborative machines to support older adults aging in place.      
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Chien-Ming Huang is the John C. Malone Assistant Professor in the Department of Computer Science at the Johns Hopkins University. His research focuses on designing interactive AI aimed to assist and collaborate with people. He publishes in top-tier venues in HRI, HCI, and robotics including Science Robotics, HRI, CHI, and CSCW. His research has received media coverage from MIT Technology Review, Tech Insider, and Science Nation. Huang completed his postdoctoral training at Yale University and received his Ph.D. in Computer Science at the University of Wisconsin–Madison. He is a recipient of the NSF CAREER award. https://www.cs.jhu.edu/~cmhuang/ 

    Host: Stefanos Nikolaidis

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Alfred E. Mann Department of Biomedical Engineering

    Wed, Feb 07, 2024 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: X.Edward Guo, Ph.D., Columbia University, New York

    Talk Title: Bone Bioengineering: Microstructure, Mechanics, Mechanobiology, and Beyond

    Abstract: Bone bioengineering is a basic science of clinical significance in many medical fields, such as osteoporosis, osteoarthritis, or intervertebral disc degeneration. I will highlight our development of three-dimensional imaging analysis and modeling techniques for trabecular bone microstructure, its applications in basic science research of bone mechanics, and clinical applications in osteoporosis and osteoarthritis. We will discuss bone microstructural phenotypes in different races and their implications in genetic and precision medicine, anthropology, evolution, and mechanobiology of the skeletons. In parallel to these developments, we will also showcase how mechanobiology links to bone microstructure and mechanics

    Biography: Dr. Guo was born and grew up in China. He received his B.S. in applied mechanics from Peking University. He continued his graduate studies in the US and received his M.S. in 1990 and Ph.D. in 1994 in Medical Engineering and Medical Physics from Harvard University-MIT. From 1994 to 1996, Professor Guo did his postdoctoral fellowship in the Orthopaedic Research Laboratories at the University of Michigan at Ann Arbor. In 1996, he joined the Department of Mechanical Engineering and Biomedical Engineering at Columbia University as an Assistant Professor. He was promoted to Associate Professor with tenure in 2003, Professor in 2007, and named Stanley Dicker Professor in 2018. He directs the Bone Bioengineering Laboratory in the Department of Biomedical Engineering at Columbia, focusing his research interests on micromechanics of bone tissue, computational biomechanics, and mechanobiology of bone. His past honors include the Young Investigator Recognition Award from the Orthopaedic Research Society, the National Research Service Award from the US National Institutes of Health (NIH), a CAREER award from the US National Foundation of Science (NSF), Funds for Talented Professionals (Joint Research Fund for Overseas Chinese Young Scholars) from the National Natural Science Foundation of China, and Christopher R Jacobs Award from Biomedical Engineering Society (BMES). He is elected fellow of the American Institute for Medical and Biological Engineering, American Society of Mechanical Engineers, BMES, American Society of Bone and Mineral Research, International Combined Orthopaedic Research Societies, and International Academy of Medical and Biological Engineering. He was one of the founders and co-editor-in-chief of Cellular and Molecular Bioengineering (CMBE), an international journal of BMES. He has served on many NIH, NSF, and NASA review panels. The Whitaker Foundation, the NSF, and the NIH have supported his research. He served as President of the International Chinese Musculoskeletal Research Society, the Society for Physical Regulation in Biology and Medicine, a Member of the Board of Directors of the Orthopaedic Research Society, and a Member of the Board of Directors of AIMBE. He founded the Special Interest Group (SIG) in CMBE at the BMES and served as its founding Chair. He served as the Chair of the Department of Biomedical Engineering at Columbia University from 2017 to 2023, and he founded the Northeast BME League and served as its inaugural President.

    Host: Peter Wang

    Location: Corwin D. Denney Research Center (DRB) - 145

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

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  • PhD Thesis Defense - Sepanta Zeighami

    Wed, Feb 07, 2024 @ 01:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Committee members: Cyrus Shahabi (chair), Keith Chugg, Vatsal Sharan, Haipeng Luo
     
    Title: A Function Approximation View of Database Operations for Efficient, Accurate, Privacy-Preserving & Robust Query Answering with Theoretical Guarantees
     
    Abstract: Machine learning models have been recently used to replace various database components (e.g., index, cardinality estimator) and provide substantial performance enhancements over their non-learned alternatives. Such approaches take a function approximation view of the database operations. They consider the database operation as a function that can be approximated (e.g., an index is a function that maps items to their location in a sorted array) and learn a model to approximate the operation\'s output. In this thesis, we first develop the Neural Database (NeuroDB) framework which extends this function approximation view by considering the entire database system as a function that can be approximated. We show, utilizing this framework, that training neural networks that take queries as input and are trained to output query answer estimates provide substantial performance benefits in various important database problems including approximate query processing, privacy-preserving query answering, and query answering on incomplete datasets. Moreover, we present the first theoretical study of this function approximation view of database operations, providing the first-ever theoretical analysis of various learned database operations. Our analysis provides theoretical guarantees on the performance of the learned models, showing why and when they perform well. Furthermore, we theoretically study the model size requirements, showing how model size needs to change as the dataset changes to ensure a desired accuracy level. Our results enhance our understanding of learned database operations and provide the much-needed theoretical guarantees on their performance for robust practical deployment.
     
    Zoom Link: https://usc.zoom.us/j/91683810479?pwd=VXBmblhDdzZCZU1Oc05jRFV2dzI2dz09
    Meeting ID: 916 8381 0479
    Passcode: 250069

    Location: Charles Lee Powell Hall (PHE) - 106

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/91683810479?pwd=VXBmblhDdzZCZU1Oc05jRFV2dzI2dz09

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  • AME Seminar

    Wed, Feb 07, 2024 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Negar Nazari, Harvard

    Talk Title: Microfluidics with Macro-Impact: Advancing Sustainability through Nanoparticle - Enhanced Foams for Optimized CO2 Sequestration

    Abstract: The contemporary global challenge centers on ensuring water and energy access for a growing population while minimizing environmental impacts and promoting sustainability. Porous media play a crucial role in this, facilitating processes like carbon sequestration, hydrogen storage, and geothermal energy extraction within geological formations. The Paris Climate Accord emphasizes reducing greenhouse gas emissions, with carbon sequestration in geological formations being a potential solution. However, challenges like ensuring safe storage and preventing leaks remain.   Utilizing a foaming solution alongside CO2 injection emerges as a promising method to reduce the mobility of CO2, enhancing the blockage of CO2 in more permeable areas and thus bolstering storage safety. A significant hurdle in this technique is the thermodynamic instability of the bubble interface in the high salinity brines found in host formations. The introduction of nanoparticles enhances the interface\'s stability, counteracting the capillary forces that destabilize the foam\'s lamellae. The dynamics of gas-liquid interfaces differ between aqueous surfactants and nanoparticles. Nanoparticles impact the drag on elongated bubbles at low capillary numbers by establishing monolayer formations at the fluid interface, which in turn increases the interfacial dilatational viscoelasticity. This enhancement in viscoelasticity strengthens the interface\'s dynamic resistance to changes in surface area, whether through stretching or compressing, thereby improving the stability of the interface.

    Biography: Negar Nazari is a Postdoctoral fellow at the school of engineering and applied sciences at Harvard University. Her research focuses on understanding complex fluid flow and transport in porous media with particular emphasis on topics relevant to energy and sustainability including but not limited to carbon and hydrogen storage. Prior to her postdoc, she completed her PhD at the energy science and engineering department at Stanford University. Her PhD research focused on microscale analysis of fluid-fluid interactions and complex multiphase flow in fractured systems and channels. Her research interests lie in energy and sustainability, microfluidics, and data-driven and programming techniques to upscale flow studies. Negar received the Trailblazing Researcher Award from the California Institute of Technology for exceptional contributions and frontier research in Energy and Sustainability.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    WebCast Link: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • DEN@Viterbi - Online Graduate Engineering Virtual Information Session

    Thu, Feb 08, 2024 @ 06:00 PM - 07:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top-ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online. Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details, and the benefits of online delivery.

    WebCast Link: https://uscviterbi.webex.com/weblink/register/r746d85a9b25930630a066e528c4b0a98

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/r746d85a9b25930630a066e528c4b0a98

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 09, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • I ♡ Studying - VLP Study & Social

    Fri, Feb 09, 2024 @ 10:00 AM - 05:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Whether you\'re celebrating Palentines, Galentines, or Valentines, stop by the VLP for a LOVEly study & social event! Enjoy snacks, study spaces, and time to socialize with your fellow Viterbi students. 

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r395433

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  • DREAM Industry Mentorship speaker series

    Fri, Feb 09, 2024 @ 12:00 PM - 01:00 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM connects students with experienced industry professionals from a variety of tech and destination companies who help them create a vision for their futures, align their careers around purpose, and build character in the context of growth, reinvention, and constant change. Industry mentors discuss how professional challenges present opportunities for character and leadership development. This event features a talk with Alex Kruglov, tech entrepreneur and former Hulu executive, on the evolving media landscape, games, and sustaining the human connection. Co-sponsored with Annenberg. 

    Location: Michelson Center for Convergent Bioscience (MCB) - 102

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r394797

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  • Semiconductors & Microelectronics Technology Seminar - Tingyi Gu, Friday, Feb. 9th at 2pm in EEB 248

    Fri, Feb 09, 2024 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Tingyi Gu, ECE- University of Delaware

    Talk Title: On-chip wavefront shaping and image classification on silicon photonics

    Series: Semiconductors & Microelectronics Technology

    Abstract: The advancement of nanotechnologies enables powerful control of photons by subwavelength structures. In recent years, rapid advancement of metasurface and metamaterials reveal the potential of nanophotonics in the applications across disciplines, from image processing/conversion to controlled light-matter interactions. In this talk, I will progressively illustrate the powerful role of the meta-atoms, meta-surface, and meta-system in integrated photonic platform, which enabled the control of nonHermicity, perform mathematical conversion to machine learning, respectively. 0D: Embedding individual symmetric or asymmetric meta-atoms in silicon micro- resonators provide the full control of non-Hermicity, which has been proved to coherently suppress the nanofabrication resulted backscattering [1]. 1D: The integrated metasystem performs analogue optical computing tasks, from simple Fourier transformation to spatial differentiations (1D+) [2]. Also, we have shown that asymmetric subwavelength design engineers the wave momentum space for broadband and power independent back reflection suppression. 2D: With lithographically defined inter-layer alignment, we demonstrate diffractive deep optical network on silicon photonic platform, towards broadband spatial pattern classification and hyperspectral imaging [3]. In addition to materials offered by the foundry, I will try to extend the scope of \'heterogeneous integration\' for layered phase change materials for integrated photonic memory devices [4], and potential integration scheme with silicon photonics.

    Biography: Tingyi Gu is an associate professor in the electrical engineering of University of Delaware. Her group works on foundry compatible silicon photonic meta-components for optical communication and sensing, with the focus on optoelectronic reconfigurability and high-speed operation. She served on 19 committees for optics and optoelectronics societies, including SPIE, CLEO, FiO and IPC. She received a B.S. from Shanghai Jiao Tong University, and M.S. and Ph.D. degrees from Columbia University, all in EE. She has held positions at Bell Labs, Princeton University and Hewlett Packard Labs.

    Host: J Yang, H Wang, C Zhou, S Cronin, W Wu

    More Information: Tingyi Gu_2024-02-09.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Feb 12, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Sierra Space Dare To Be a Dreamer Event

    Mon, Feb 12, 2024 @ 10:00 AM - 11:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Sierra Space Dare To Be a Dreamer Event
    The featured speakers for the event are our executive leadership team (mostly engineering background), who will share their journey, career experiences, industry trends, and advice on navigating the aerospace landscape. We will also cover information on who we are and the exciting ongoing projects at Sierra Space. 
    To learn more about our featured speakers and event details, please visit the event registration page.
     
    Event date: Monday, February 12th
    Time: 10 AM – 11 AM 
     
    External employer-hosted events and activities are not affiliated with the USC Career Center. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant’s responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu\">vcareers@usc.edu

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Feb 12, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • ECE Virtual Seminar: Transdisciplinary Engineering: Reaching Beyond Engineering to Exploit Concepts From Other Disciplines

    Mon, Feb 12, 2024 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Azad M. Madni, University Professor of Astronautics, Aerospace and Mechanical Engineering, USC Viterbi School of Engineering

    Talk Title: Transdisciplinary Engineering: Reaching Beyond Engineering to Exploit Concepts From Other Disciplines

    Abstract: This talk presents transdisciplinary engineering and how it is enabled by exploiting convergence of engineering with other disciplines. Specifically, it presents an overview of my research in this area, TRASEE™ educational paradigm, and the transformation of the Systems Architecting and Engineering Program using TRASEE. It focuses on storytelling in virtual worlds as an exemplar of exploiting convergence between engineering and entertainment/cinematic arts.

    Biography: Azad Madni is a University Professor of Astronautics, Aerospace and Mechanical Engineering in the University of Southern California. The designation of University Professor honors USC’s most accomplished multidisciplinary faculty with significant achievements across multiple technical fields. He is the holder of the Northrop Grumman Fred O’Green Chair in Engineering, and the Executive Director of University of USC’s Systems Architecting and Engineering Program. He also holds a joint appointment in the Sonny Astani Department of Civil and Environmental Engineering, and courtesy appointments in the Rossier School of Education and Keck School of Medicine. He is the Founding Director of the Distributed Autonomy and Intelligent Systems Laboratory and is a faculty affiliate of USC’s Ginsberg Institute for Biomedical Therapeutics in the Keck School of Medicine. He is the founding director of the Ph.D. degree program in Systems Engineering in the Astronautics Department. He is also a Senior Fellow of the Loker Hydrocarbon Research Institute founded by Nobel Laureate, George Olah. He is a member of the London Digital Twin Research Centre. He is the founder and CEO of Intelligent Systems Technology, Inc., an award-winning hi-tech company specializing in model-based approaches for addressing scientific and societal problems of national and global significance. He is the Chief Systems Engineering Advisor to The Aerospace Corporation. He received his Ph.D., M.S., and B.S. degrees in Engineering from the University of California, Los Angeles. He is a graduate of AEA/Stanford Institute Executive Program for Technology Executives.

    Host: Dr. Richard M. Leahy, leahy@usc.edu

    Webcast: https://usc.zoom.us/j/91315597163?pwd=YjlrMlhGYnV4NEV4UkFiZXdETkZiQT09

    WebCast Link: https://usc.zoom.us/j/91315597163?pwd=YjlrMlhGYnV4NEV4UkFiZXdETkZiQT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • The Good Life Discussion Series

    Tue, Feb 13, 2024

    Engineering in Society Program

    Receptions & Special Events


    The new Good Life Discussion Series allows USC Viterbi students to ask such big questions in a safe, supportive setting. This is an invitation-only event.

    Audiences: This event is invitation only

    Contact: Martha Townsend

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  • Lockheed Martin Trojan Talk

    Tue, Feb 13, 2024 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Date: Tuesday, February 13th
    Time: 11 am - 12 pm
    Location: RTH 211
     
    Hear from Lockheed Martin recruiter, Margaret Paulin on what it takes to stand out in an application and interview, and practical tips from the employer\'s view on what students should do. This talk will provide a presentation on interview and application tips to be used in the early career recruiting process.
     
    There will be time for Q&A, food will be served!

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Riverside County Flood Control and Water Conservation District Information Session

    Tue, Feb 13, 2024 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Come learn about internships and full-time opportunities at the Riverside County Flood Control and Water Conservation District    
     
    Tuesday, February 13th, from 12-1 pm   
    Join this virtual Trojan Talk here.  
     
    What degree levels are you recruiting for? Juniors, Seniors,  Masters
    Majors of interest: Civil Engineering, Environmental Engineering, Bioresource engineering and Agricultural Engineer  
     
    Can you offer Visa sponsorship? We don’t offer sponsorship.

    Location: Virtual Event

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • CCI, AAI, and MHI Joint Seminar Series - Radoslav Ivanov (Rensselaer Polytechnic Institute): Safe and secure autonomy within reach: a verified machine learning and control perspective

    Tue, Feb 13, 2024 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Radoslav Ivanov, Rensselaer Polytechnic Institute

    Talk Title: Safe and secure autonomy within reach: a verified machine learning and control perspective

    Abstract: In this talk, I will present an integrated approach to assuring the safety and security of cyber-physical systems (CPS) through a combination of offline verification and online monitoring techniques. For offline assurance, I have developed an approach, called Verisig, for verifying the safety of autonomous systems with neural network controllers. I will present an exhaustive evaluation on a neural-network-controlled (1/10-scale) autonomous racing car, in terms of modeling, verification and experiments on the real platform. In the second part of the talk, I will describe my work on run-time monitoring of system safety, with applications to medical CPS. Specifically, I will present a detector for critical drops in the patient\'s oxygen content during surgery, with guaranteed performance regardless of varying physiological parameters such as metabolism. The detector is evaluated on real-patient data collected from the Children\'s Hospital of Philadelphia.    
     
    Zoom Link: https://usc.zoom.us/j/98624281836?pwd=ajJSWGRvbkRpUVgvRC9nOXd5K29TZz09 Meeting ID: 986 2428 1836 Passcode: CPS24  
     
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium  

    Biography: Radoslav Ivanov He is an Assistant Professor in Computer Science at the Rensselaer Polytechnic Institute. Prior to that, he was a postdoc at the PRECISE center at the University of Pennsylvania. Radoslav received the B.A. degree in computer science and economics from Colgate University in 2011, and the Ph.D. degree in computer and information science from the University of Pennsylvania in 2017. His research interests are broadly in the field of safe and secure autonomy, with a focus on verified machine learning, control theory and cyber-physical security. The natural application domains of his work are automotive and medical cyber-physical systems. 

    Host: Pierluigi Nuzzo and Lars Lindemann

    More Info: https://usc.zoom.us/j/98624281836?pwd=ajJSWGRvbkRpUVgvRC9nOXd5K29TZz09

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/98624281836?pwd=ajJSWGRvbkRpUVgvRC9nOXd5K29TZz09

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Feb 13, 2024 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Yale T. Herer, Professor, Technion - Israel Institute of Technology

    Talk Title: An Asymptotic Perspective on Risk Pooling: Limitations and Relationship to Transshipments

    Host: Prof. Maged Dessouky

    More Information: February 13, 2024.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Job Searching in the US

    Tue, Feb 13, 2024 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
    Increase your knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    Zoom link:  https://usc.zoom.us/meeting/register/tJEtc-yorD4sH9zc8DUKnB0xGH68PTHf60D-For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.zoom.us/meeting/register/tJEtc-yorD4sH9zc8DUKnB0xGH68PTHf60D-

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  • MFD Spring Seminars- Distinguished Lecture Series

    Tue, Feb 13, 2024 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Yury Gogotsi, Drexel University

    Talk Title: 2D Carbides and Nitrides (MXenes) -“ from Discovery to Applications

    Abstract: MXenes are a family of two-dimensional (2D) early transition metal carbides, nitrides, oxycarbides, carbonitrides, and related structures with a general formula of Mn+1XnTx, where M is a transition metal, X is carbon or nitrogen (oxygen substitution is possible), T represents the surface terminations (O, OH, halogen, chalcogen, etc.), and n = 1—4 [1]. More than 50 MXene compositions have already been reported, but the number of possible compositions is infinite if one considers solid solutions and combinations of surface terminations. MXenes open an era of computationally driven atomistic design of 2D materials. MXenes possess electronic, optical, mechanical, and electrochemical properties that differentiate them from other materials. Chemically tunable superconductivity has been demonstrated in Nb- and Mo-based MXenes. Chemically tunable ferromagnetism and antiferromagnetism have been predicted. Highly nonlinear optical properties of MXenes are being explored. Several MXenes have been predicted to act as topological insulators. Many MXenes are metals but with a tunable density of states at the Fermi level, like semiconductors. Moreover, their properties are tunable by design and can be modulated using an ionotronic approach [2], leading to breakthroughs in the fields ranging from optoelectronics, electromagnetic interference shielding, and communication to energy storage, catalysis, sensing, and healthcare. In several applications, such as electromagnetic interference shielding, MXenes have already outperformed all other materials. In this talk, I’ll discuss the synthesis and structure of MXenes, their optoelectronic properties, and the coupling between electrochemical redox processes in MXenes and their optical properties, which can be monitored in situ using spectroelectrochemistry techniques [3].

    Biography: Yury Gogotsi is a Distinguished University Professor and Charles T. and Ruth M. Bach Endowed Chair in the Department of Materials Science and Engineering at Drexel University (Philadelphia, USA). He is the founding Director of the A.J. Drexel Nanomaterials Institute. He received his MS (1984) and PhD (1986) from Kyiv Polytechnic and a DSc degree from the National Academy of Sciences of Ukraine in 1995. Together with his students and colleagues, he made principal contributions to the development of materials for electrochemical capacitors and other energy storage devices, discovered MXenes, demonstrated the tuning of structure and porosity of carbide-derived carbons, and developed new processes for the synthesis, surface modification, and purification of nanotubes and nanodiamonds. He also published the first microscopic observation of water inside carbon nanotubes, discovered polygonal nanotubes (graphite polyhedral crystals), and shaped the field of high-pressure surface science. He is recognized as a Highly Cited Researcher in Materials Science and Chemistry and a Citations Laureate by Clarivate Analytics (Web of Science). He has received numerous awards for his research, including the Ceramic Prize from the World Academy of Ceramics, the Materials Research Society (MRS) Medal, the American Chemical Society (ACS) Award in the Chemistry of Materials, etc. He has been elected a Fellow of the National Academy of Inventors, the World Academy of Ceramics, the European Academy of Sciences, and many professional societies. He holds honorary doctorates from several European Universities.

    Host: Mork Family Department

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    Audiences: Everyone Is Invited

    Contact: Monique Garcia

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  • Mentorship Galentines!

    Tue, Feb 13, 2024 @ 06:00 PM - 07:00 PM

    USC Viterbi School of Engineering

    Student Activity


    Join WIE mentorship for a fun Galentines night! Come meet new friends and old! We will be docoring candy jars, making letters and having some Valentine\'s inspired snacks and Dulce!

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=395636

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 14, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 14, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Computer Science General Faculty Meeting

    Wed, Feb 14, 2024 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Ass

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  • CS Colloquium: Parastoo Abtahi (Princeton University) - From Haptic Illusions to Beyond Real Interactions in Virtual Reality

    Wed, Feb 14, 2024 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Parastoo Abtahi, Princeton University

    Talk Title: From Haptic Illusions to Beyond Real Interactions in Virtual Reality

    Abstract: Advances in audiovisual rendering have led to the commercialization of virtual reality (VR) hardware; however, haptic technology has not kept up with these advances. While haptic devices aim to bridge this gap by simulating the sensation of touch, many hardware limitations make realistic touch interactions in VR challenging. In my research, I explore how by understanding human perception, we can design VR interactions that not only overcome the current limitations of VR hardware but also extend our abilities beyond what is possible in the real world. In this talk, I will present my work on redirection illusions that leverage the limits of human perception to improve the perceived performance of encountered-type haptic devices, such as improving the position accuracy of drones, the speed of tabletop robots, and the resolution of shape displays when used for haptics in VR. I will then present a framework I have developed through the lens of sensorimotor control theory to argue for the exploration and evaluation of VR interactions that go beyond mimicking reality.  
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Parastoo Abtahi is an Assistant Professor of Computer Science at Princeton University, where she leads Princeton’s Situated Interactions Lab (Ψ Lab) as part of the Princeton HCI Group. Before joining Princeton, Parastoo was a visiting research scientist at Meta Reality Labs Research. She received her PhD in Computer Science from Stanford University, working with Prof. James Landay and Prof. Sean Follmer. Her research area is human-computer interaction, and she works broadly on augmented reality and spatial computing. Parastoo received her bachelor’s degree in Electrical and Computer Engineering from the University of Toronto, as part of the Engineering Science program

    Host: Heather Culbertson

    More Info: https://usc.zoom.us/j/95030499252?pwd=YVl3dU93ZUlTeVNrWEFVeWNkYjB2Zz09

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/95030499252?pwd=YVl3dU93ZUlTeVNrWEFVeWNkYjB2Zz09

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  • AME Seminar

    Wed, Feb 14, 2024 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Zhenyu Gao, University of Texas at Austin

    Talk Title: Computational Paradigms Towards Sustainable Aeronautics

    Abstract: As technology and the environment rapidly evolve, the aerospace industry is actively seeking solutions to three significant opportunities and challenges. First, the data-intensive transformation will reframe the aerospace industry with big data technologies, analytical methods, and high-performance computation. Second, future aerospace systems must be environmentally, socially, and economically sustainable. Third, aerospace systems of diverse types and capabilities will grow robustly and operate at larger scales. In this talk, I will share a series of recent studies which leverage data-driven and computational methods for the design and analysis of sustainable aeronautical systems. This includes (1) a machine learning approach for efficient and accurate aviation environmental impact modeling, (2) a data-driven optimization approach for holistic and equitable advanced air mobility noise management, and (3) a modeling and simulation approach for sustainable and safe 3D urban airspace design. This research highlights the significance of data-driven approaches for the sustainable development of novel aerospace systems.

    Biography: Zhenyu Gao is a Postdoctoral Fellow in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. His areas of research encompass sustainable aviation, data-driven aerospace engineering, and intelligent transportation systems. He earned his Ph.D. in Aerospace Engineering and an M.S. in Operations Research from Georgia Institute of Technology, and a B.S. in Aerospace Engineering from the University of Illinois at Urbana–Champaign. His doctoral dissertation was awarded the 2023 Georgia Tech Sigma Xi Best Ph.D. Thesis Award. He has also served as a visiting researcher at the National University of Singapore and the Institute of Science and Technology Austria (ISTA). During his time at Georgia Tech and UT Austin, he has contributed to over ten research projects funded by entities such as the FAA, NASA, and industry corporations like The Boeing Company.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    WebCast Link: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • Exponent: Technical and Scientific Consulting for PhD Students

    Thu, Feb 15, 2024 @ 06:00 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Exponent: Technical and Scientific Consulting for PhD Students 
     
    Thursday, February 15th, 6-7:30 pm 
    Location: RTH 211
    RSVP: Viterbi Career Gateway 
     
    If you are a Ph.D. candidate with strong communication skills, are motivated to learn on the job, and have a desire to apply your education in unexpected and innovative ways, Exponent will be an exciting opportunity for you! At Exponent, we work on many of the most challenging and prominent engineering and scientific problems in the world.   
     
    Degree Levels: PhD students
    Majors: Aerospace, Mechanical, Astronautical, Biomed, ChemE, Petroleum, Civil, Environmental, CS, Computer Eng, EE, Industrial Systems

    Location: Ronald Tutor Hall of Engineering (RTH) - RTH 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Global Women in Science Editathon

    Fri, Feb 16, 2024 @ 12:00 AM - 02:00 PM

    Engineering in Society Program

    Student Activity


    Join the USC Libraries and the Engineering in Society Program for a worldwide Wikipedia editathon for women in science! USC will be joining the American University of Beirut, Boston University, and the University of Calgary to expand the world\'s knowledge about the scientific contributions of amazing women!Friday, February 16, 2024 12 noon to 2pm SSL 210 Pizza served New and experienced editors welcome

    Location: Seaver Science Library (SSL) - 210

    Audiences: Everyone Is Invited

    Contact: Helen Choi

    Event Link: https://outreachdashboard.wmflabs.org/courses/Boston_University/Women_in_Science_Edit-a-thon?enroll=cmgpofsr

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 16, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 16, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Alfred E. Mann Department of Biomedical Engineering

    Fri, Feb 16, 2024 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Arnab Mukherjee, Ph.D., Assistant Professor of Chemical Engineering & Biological Engineering University of California, Santa Barbara

    Talk Title: Engineering genetic reporters for molecular MRI

    Abstract: The study of biological functions in intact organisms requires noninvasive genetic reporters to track cells, image gene expression, and monitor signaling pathways. While fluorescent and bioluminescent proteins are widely used as reporters, their utility in deep tissues is limited due to the scattering and absorption of light, which impede imaging beyond a depth of ~ 1 mm from the tissue surface. To overcome this challenge, my research harnesses unexpected connections between proteins and the physics of magnetic resonance (MRI) to create new biomolecular reporters for deep tissue imaging. In this talk, I will discuss our recent efforts to address three long-standing challenges in the development of viable MRI reporters: sensitivity, specificity, and sensor design. First, I will highlight our recent work in increasing reporter gene sensitivity to detect small numbers of genetically labeled cells, potentially, as few as hundred cells per imaging voxel. I will then describe the creation of chemically erasable reporters, which enable “hotspot” imaging with a low tissue background. Finally, I will discuss a new modular approach for programming MRI sensors based on protease modulation of reporter activity.

    Biography: Arnab Mukherjee is an Assistant Professor of Chemical Engineering & Biological Engineering at the University of California, Santa Barbara. Prior to arriving at UCSB, Dr. Mukherjee completed a James G. Boswell fellowship in Molecular Engineering at Caltech (working with Prof. Mikhail Shapiro) and obtained his Ph.D. in chemical and biomolecular engineering from the University of Illinois, Urbana-Champaign. The Mukherjee lab works at the intersection of molecular engineering, synthetic biology, and molecular imaging to create new genetic reporters and sensors for magnetic resonance imaging (MRI). Research in the Mukherjee group has been consistently supported by the NIH, Army, and foundations; and recognized with notable awards, including an Outstanding Young Investigator Award (NIH MIRA), a Discovery Award from the DoD, the NARSAD Young Investigator Award from the Brain & Behavior Research Foundation, and a 2022 Scialog Fellows award in Advanced Bioimaging.

    Host: Jenny Treweek

    Location: Olin Hall of Engineering (OHE) - 100 B

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

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  • Ed Discussion Workshop

    Fri, Feb 16, 2024 @ 02:00 PM - 03:00 PM

    DEN@Viterbi

    Workshops & Infosessions


    Zoom registration link: https://usc.zoom.us/webinar/register/WN_wEJJNmp4QhiTIAB25IgKgg
    Instructors at USC are using Ed Discussion for class Q&A with great success. Folks have found it saves considerable time for teaching staff, reduces emails, while also increasing student engagement and peer learning.
    In this workshop, we\'ll show you:

    How to save time and reduce student emails by leveraging the class Q&A
    How to post an icebreaker thread to encourage and engage students from week 1
    How to set up course categories and subcategories to keep questions organized and searchable

    A quick online search of \"Ed Discussion\" shows many universities who have adopted Ed on an enterprise scale including

    Harvard, Stanford, UC Berkeley, UC Irvine, UT Austin, Princeton, Columbia, Cornell
    Brown, Yale, Penn, Duke, UW, Georgia Tech, NYU, ASU, Imperial College London

    Ed Discussion is a quick and easy drop in for class Q&A with superior functionality and usability.

    Less direct emails being sent to staff
    Fewer duplicate questions being asked
    Students often answer each other\'s questions
    Questions can reach and benefit the whole class
    Students like the modern user interface and excellent usability
    Higher quality questions and less back and forth with thread templates
    Easier to express ideas with equations, runnable code, annotations, and more

    Zoom registration link: https://usc.zoom.us/webinar/register/WN_wEJJNmp4QhiTIAB25IgKgg
    About EdStem:
    EdStem centers around its interactive discussion boards, enabling students to ask questions, participate in discussions, and collaborate on solutions, thereby nurturing a community-focused learning atmosphere. It also caters to programming and computer science courses with integrated coding environments, where students can directly write, test, and submit code on the platform. Additionally, EdStem provides instructors with real-time feedback and analytics on student engagement and comprehension, facilitating the customization of teaching approaches. These analytics also offer valuable insights into overall class performance and individual student progress, making EdStem a comprehensive tool for both learning and teaching in dynamic academic settings.
     

    Audiences: Everyone Is Invited

    Contact: Jairo Delgado

    Event Link: https://usc.zoom.us/webinar/register/WN_wEJJNmp4QhiTIAB25IgKgg

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  • Seminar

    Fri, Feb 16, 2024 @ 03:30 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ahmad Beirami, Google Research

    Talk Title: Language Model Alignment: Theory & Practice

    Series: AIF4S Seminar Series

    Abstract: Generative language models have advanced to a level where they can effectively solve a variety of open-domain tasks with little task specific supervision. However, the generated content from these models may still not satisfy the preference of a human user. The goal of the alignment process is to remedy this issue by generating content from an aligned model that improves a reward (e.g., make the generation safer) but does not perturb much from the base model. A simple baseline for this task is best-of-N, where N responses are drawn from the base model, ranked based on a reward, and the highest ranking one is selected. More sophisticated techniques generally solve a KL-regularized reinforcement learning (RL) problem with the goal of maximizing expected reward subject to a KL divergence constraint between the aligned model and the base model. An alignment technique is preferred if its reward-KL tradeoff curve dominates other techniques. In this talk, we give an overview of language model alignment and give an understanding of known results in this space through simplified examples. We also present a new modular alignment technique, called controlled decoding, which solves the KL-regularized RL problem while keeping the base model frozen through learning a prefix scorer, offering inference-time configurability. Finally, we also shed light on the remarkable performance of best-of-N in terms of achieving competitive or even better reward-KL tradeoffs when compared to state-of-the-art alignment baselines.

    Biography: Ahmad Beirami is a research scientist at Google Research, leading research efforts on building safe, helpful, and scalable generative language models. At Meta AI, he led research to power the next generation of virtual digital assistants with AR/VR capabilities through robust generative language modeling. At Electronic Arts, he led the AI agent research program for automated playtesting of video games and cooperative reinforcement learning. Before moving to industry in 2018, he held a joint postdoctoral fellow position at Harvard & MIT, focused on problems in the intersection of core machine learning and information theory. He is the recipient of the Sigma Xi Best PhD Thesis Award from Georgia Tech.

    Host: Mahdi Soltanolkotabi

    Webcast: https://usc.zoom.us/j/92673154833?pwd=Z1QwYk52RVhWSkRXRmhzTmRhUTU3UT09

    More Information: 14766.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    WebCast Link: https://usc.zoom.us/j/92673154833?pwd=Z1QwYk52RVhWSkRXRmhzTmRhUTU3UT09

    Audiences: Everyone Is Invited

    Contact: Gloria Halfacre

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  • VLP LeetCode Jam Night

    Fri, Feb 16, 2024 @ 05:00 PM - 07:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Jam with the Viterbi Learning Program! Join us for a company-specific (MAANG) problems session where we code and discuss. Also - we have pizza.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r395727

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  • PhD Thesis Proposal - Saghar Talebipour

    Tue, Feb 20, 2024 @ 01:30 AM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Saghar Talebipour  
     
    Committee Members: Nenad Medvidovic (Chair), William G.J. Halfond, Chao Wang, Mukund Raghothaman, Sandeep Gupta  
     
    Date: Tuesday, February 20, 2024, 1:30 p.m. - 3:00 p.m. Location: EEB 349 
     
    Title: Automated Usage-based Mobile Application Testing via Artifact Reuse  
     
    Abstract: Writing and maintaining UI tests for mobile applications is both time-consuming and tedious. While decades of research have led to automated methods for UI test generation, these methods have largely focused on identifying crashes or maximizing code coverage. However, recent studies have emphasized the significance of usage-based tests targeting specific app functionalities and use cases. My research introduces novel automated testing techniques that make use of existing artifacts, such as tests from similar applications or video recordings of app operations. These approaches help us move closer to achieving the goal of automated usage-based testing of mobile applications.

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 349

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • CSC/CommNetS-MHI Seminar: Yongduan Song

    Tue, Feb 20, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yongduan Song, Director, Research Institute for Artificial Intelligence | Chair Professor, School of Automation | Chongqing University

    Talk Title: Several critical issues in neural network driven control design and analysis

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    Neural networks (NN) and related learning algorithms are crucial components of artificial intelligence. The utilization of neural networks combined with learning algorithms for controller design has become a mainstream direction in the field of intelligent control. This talk will examine the typical NN-driven design approaches and expose several critical issues related to functionality and effectiveness of the NN-based control methods.




    Biography:


    Professor Yongduan Song is a Fellow of IEEE, Fellow of AAIA, Fellow of International Eurasian Academy of Sciences, and Fellow of Chinese Automation Association. He was one of the six Langley Distinguished Professors at National Institute of Aerospace (NIA), USA and registered professional engineer (USA). He is currently the dean of Research Institute of Artificial Intelligence at Chongqing University. Professor Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and the founding Editor-in-Chief of the International Journal of Automation and Intelligence.




    Host: Dr Petros Ioannou, ioannou@usc.edu

    More Information: 2024.02.20 Seminar - Yongduan Song.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

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  • CS Colloquium - Krishna Kant Chintalapudi (Microsoft Research Redmond) - "Leveling up Next Gen Xbox User Experience with Neural Networks and Sound"

    Tue, Feb 20, 2024 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Krishna Kant Chintalapudi, Principal Researcher, Microsoft Research Redmond (MSR)

    Talk Title: Leveling up Next Gen Xbox User Experience with Neural Networks and Sound

    Abstract: This talk presents two groundbreaking innovations in enhancing the gaming experience on Next-Gen Xbox platforms - ADR-X (NSDI 2024) and Ekho (SIGCOMM 2023). ADR-X, is a neural network-assisted wireless link rate adaptation technique for compute-constrained embedded gaming devices. It uses a meticulously crafted NN based contextual bandit that leverages existing communication theory domain knowledge. This allows ADR-X to perform at par with state-of-the-art reinforcement learning techniques such as PPO while also running 100× faster. Ekho introduces a novel approach to synchronizing cloud gaming media over the internet - crucial for immersive gameplay. By embedding faint, human-inaudible pseudo-noise markers into game audio and detecting them through player microphones, Ekho accurately measures and compensates for inter-stream delays.
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium. 

    Biography: Dr. Krishna Kant Chintalapudi is a Principal Researcher in the Networking Research Group at Microsoft Research Redmond (MSR). His research interests span AI/ML, Networking & Systems, Video Analytics, AR/VR and Internet of Things. He has published more than 50 papers in reputed international conferences and journals which have been cited over 8000 times and he holds over 30 patents granted by USPTO. Krishna graduated from the University of Southern California with a Phd in Computer Science in 2006. Prior to joining MSR, Krishna was a Senior Research Engineer at Bosch Research and Technology Center in Palo Alto, CA, USA.
     

    Host: Ramesh Govindan

    Location: Hedco Neurosciences Building (HNB) - 107

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • CS Colloquium - Pavithra Prabhakar (Kansas State University) - Safety Analysis of AI-enabled Cyber-Physical Systems (CPS): A Formal Approach

    Tue, Feb 20, 2024 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Prof. Pavithra Prabhakar, Kansas State University

    Talk Title: Safety Analysis of AI-enabled Cyber-Physical Systems (CPS): A Formal Approach

    Abstract: AI-based components have become an integral part of Cyber-Physical Systems enabling transformative functionalities. With the ubiquitous use of Machine Learning components in perception, control and decision making in safety critical application domains such as automotive and aerospace, rigorous analysis of these systems has become imperative toward real-world deployment. In this talk, we will present a formal approach to verifying the safety of AI-enabled CPS. We consider a closed-loop system consisting of a dynamical system model of the physical plant and a neural network model of the perception/control modules and analyze the safety of this system through reachable set computation. 
     
     
    One of the main challenges with reachable set computation of neural network-controlled CPS is the scalability of the methods to large networks and complex dynamics. We present a novel abstraction technique for neural network size reduction that provides soundness guarantees for safety analysis and indicates a promising direction for scalable analysis of the closed-loop system.  Specifically, our abstraction consists of constructing a simpler neural network with fewer neurons, albeit with interval weights called interval neural network (INN), which over-approximates the output range of the given neural network. We present two methods for computing the output range analysis problem on the INNs, one by reducing it to solving a mixed integer linear programming problem, and the other a symbolic computation method using a novel data structure called the interval star set. Our experimental results highlight the trade-off between the computation time and the precision of the computed output set. We will discuss other foundational questions on neural network size reduction by exploring the notion of equivalence and approximate equivalence. We will conclude by pointing to ongoing work on incorporating a camera model along with a neural network for perception in the closed-loop system framework.
     
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Pavithra Prabhakar is professor in the department of computer science, and the Peggy and Gary Edwards Chair in Engineering at Kansas State University. She is currently serving the National Science Foundation as a Program Director in the Software and Hardware Foundations Cluster in the Computer and Information Science and Engineering Directorate, where she manages formal methods and verification portfolio. Specifically, she leads the Formal Methods in the Field  (FMitF) program, has been a founding program director for the Safe Learning Enabled Systems (SLES) program and is a cognizant program director for the Foundations of Robotics Research (FRR) and the Cyber-Physical Systems (CPS) program. 
     
     
    She obtained her doctorate in computer science and a master\'s degree in applied mathematics from the University of Illinois at Urbana-Champaign, followed by a CMI postdoctoral fellowship at the California Institute of Technology. Prior to coming to K-State, she spent four years at the IMDEA Software Institute in Spain as a tenure-track assistant professor. She is the recipient of a Marie Curie Career Integration Grant from the European Union (2014), an NSF CAREER Award (2016), an ONR Young Investigator Award (2017), NITW distinguished young alumnus award (2021), and an Amazon Research Award (2022).

    Host: Jyotirmoy Deshmukh

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Interview Success: How to Make a Lasting Impression

    Tue, Feb 20, 2024 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
    Increase your preparedness for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    Zoom link: https://usc.zoom.us/meeting/register/tJYkdOGsrD4tHNx6_NKmjnra86aHqsf2Xpsk
    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.zoom.us/meeting/register/tJYkdOGsrD4tHNx6_NKmjnra86aHqsf2Xpsk

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Feb 20, 2024 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Jay Lee, Mork Family Department of Chemical Engineering and Materials Science, USC Viterbi

    Talk Title: Role of Process Systems Engineering in Decarbonization and Energy Transition

    Host: Prof. Maged Dessouky

    More Information: February 20, 2024.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • DEN@Viterbi: How to Apply Virtual Info Session

    Tue, Feb 20, 2024 @ 05:00 PM - 06:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master\'s degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi\'s flexible online DEN@Viterbi delivery method. Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session. 

    WebCast Link: https://uscviterbi.webex.com/weblink/register/r77484ac6f88e1bec0d1bcff5ef8c6c3e

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/r77484ac6f88e1bec0d1bcff5ef8c6c3e

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 21, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Recruitment Season Workshop

    Wed, Feb 21, 2024 @ 10:00 AM - 05:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Whether you\'re actively job hunting or just thinking about your future plans, visit the Viterbi Learning Program for a recruitment season workshop! Our team is available for resume review, cover letter editing, interview practice, and more - plus a range of tasty snacks to fuel your work!

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r395640

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 21, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 21, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Alfred E. Mann Department of Biomedical Engineering

    Wed, Feb 21, 2024 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Konstantinos Konstantopoulos, Ph.D., William H. Schwarz Professor of Chemical and Biomolecular Engineering The Johns Hopkins University

    Talk Title: Cell Mechanosensing and Prognostic Assays in Cancer

    Abstract: Cell locomotion is a critical step in the process of cancer metastasis, as it enables cancerous cells dissociating from a primary tumor to navigate through interstitial tissues and ultimately colonize distant organs. Metastasizing cells migrate through three-dimensional (3D) longitudinal channel-like tracks created by various anatomical structures or generated via remodeling of extracellular matrix by cancer-associated stroma cells. This seminar will present a multidisciplinary approach, integrating bioengineering tools with molecular and cell biology techniques to understand cancer cell migration in precisely engineered microenvironments, which recapitulate in vitro the 3D longitudinal channels encountered in vivo. The plasticity of cancer cell migration will be discussed, focusing on how cells sense, adapt, and respond to different physical cues, such as confinement and extracellular fluid viscosity. Moreover, this presentation will outline how our current knowledge on the mechanisms of cell motility has led to the development of a novel microchannel assay capable of distinguishing aggressive from non-aggressive cancer cells for accurate diagnosis, prognosis and precision care of cancer patients. 
     
     

    Biography: Received the Diploma of Chemical Engineering from the National Technical University of Athens, Greece in 1989 and the doctorate in Chemical Engineering from Rice University, Houston, Texas in 1995. After his postdoctoral training in the Institute of Biosciences and Bioengineering at Rice University, he joined the faculty of Chemical and Biomolecular Engineering at Johns Hopkins in 1997, and served as Department Chair from 2008 till 2017. He holds secondary appointments in the Departments of Biomedical Engineering and Oncology. He is Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and of the Biomedical Engineering Society (BMES). His signature research focuses on how cells sense and respond to different physical cues. He is known for deciphering a new mechanism of tumor cell migration in confinement called the Osmotic Engine Model, for identifying extracellular fluid viscosity as a novel physical cue regulating cancer metastasis, and for developing innovative prognostic and diagnostic assays in cancer. He has also discovered key functional selectin ligands involved in tumor cell adhesion to host cells, and characterized biophysically these receptor-ligand interactions at the single-molecule level. He has published over 160 peer-reviewed articles in premier journals such as Nature, Cell, Nature Biomedical Engineering, Science Advances etc.  His work has been cited ~13,500 times with an h-index of 66. Eleven of his mentees have launched successful academic careers in premier institutions, whereas another 18 have joined the government or industry and now hold leading appointments.  He is currently the PI or MPI on multiple NIH R01 and CDMRP grants. 

    Host: Peter Wang

    Location: Corwin D. Denney Research Center (DRB) - 145

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

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  • PhD Thesis Proposal - Qinyi Luo

    Wed, Feb 21, 2024 @ 11:00 AM - 12:30 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Qinyi Luo
    Title: High-Performance Heterogeneity-Aware Distributed Machine Learning Model Training
     
    Committee members: Xuehai Qian (co-chair), Viktor Prasanna (co-chair), Ramesh Govindan, Chao Wang, Salman Avestimehr    
     
    Abstract: The increasing size of machine learning models and the ever-growing amount of data result in days or even weeks of time required to train a machine learning model. To accelerate training, distributed training with parallel stochastic gradient descent is widely adopted as the go-to training method. This thesis proposal targets four challenges in distributed training: (1) performance degradation caused by large amount of data transfer among parallel workers, (2) heterogeneous computation and communication capacities in the training devices, i.e., the straggler problem, (3) huge memory consumption during training caused by huge model sizes, and (4) automatic selection of parallelization strategies. The proposal first introduces our work in decentralized training, including system support and algorithmic innovation that strengthen tolerance against stragglers in data-parallel training. Then, an adaptive during-training model compression technique is proposed to reduce the memory consumption of training huge recommender models. In the end, in the aspect of automatic parallelization of training workloads, a novel unified representation of parallelization strategies is proposed, as well as a search algorithm that selects superior parallel settings in the vast search space, and preliminary findings are discussed.     
     
    Date and time: Feb 21 11am-12:30pm
    Location: EEB 110  
     
    Zoom link: https://usc.zoom.us/j/97299158202?pwd=bVlnRVFhTjJlZjVCY1hVNy9yWWE1UT09          

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • DEN@Viterbi - Online Graduate Engineering Virtual Information Session

    Wed, Feb 21, 2024 @ 12:00 PM - 01:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top-ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online. Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details, and the benefits of online delivery.

    WebCast Link: https://uscviterbi.webex.com/weblink/register/r82a91c6ad51b03d2e2f6c88d71dcaf50

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/r82a91c6ad51b03d2e2f6c88d71dcaf50

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  • WIE x TBP: Male Allies in STEM

    Wed, Feb 21, 2024 @ 06:30 PM - 07:30 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Join WIE and the Tau Beta Pi engineering honor society for our Male Allies in STEM Event!

    A panel of women and non-binary science and engineering students and faculty will be sharing their stories about identity and experiences with male allyship, to raise awareness about the challenges of working in male-dominated professions and ways that men can be more effective allies.

    All undergraduates and graduate students are welcome, and we\'ll have free burritos (vegetarian and vegan options available)!

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=395816

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  • KIUEL: Viterbi Talent Show (National Engineers Week)

    Wed, Feb 21, 2024 @ 07:00 PM - 09:00 PM

    USC Viterbi School of Engineering

    Student Activity


    Join us for an evening filled with live music from USC’s Musicians Club. Show off your hidden talent and compete for bookstore prizes!

    Here is the Google Form to sign up to perform in the talent show: https://forms.gle/mpdfJ1xFFT9Z51hd9

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Kevin Giang

    Event Link: https://engage.usc.edu/viterbi/rsvp?id=395821

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  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute for Electrical & Computer Engineering Joint Seminar Series: Dengwang Tang (USC)

    Thu, Feb 22, 2024 @ 10:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dengwang Tang, University of Southern California

    Talk Title: Informed Posterior Sampling Based Algorithms for Markov Decision Processes

    Series: Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute for Electrical & Computer Engineering Joint Seminar Series

    Abstract: The traditional paradigm of RL often features an agent who learns to control the system only through interaction. However, such a paradigm can be impractical since
    learning can be very slow. In many engineering applications, there\'s often an offline dataset available before the application of the online learning algorithm. We proposed
    the informed posterior sampling-based reinforcement learning (iPSRL) to use offline datasets to bootstrap online RL algorithms in both episodic and continuing MDP
    learning problems. In this algorithm, the learning agent forms an informed prior with the offline data along with the knowledge about the offline policy that generated the data.
    This informed prior is then used to initiate the posterior sampling procedure. Through a novel prior-dependent regret analysis of the posterior sampling procedure, we showed
    that when the offline data is informative enough, the iPSRL algorithm can significantly reduce the learning regret compared to the baseline. Based on iPSRL, we then
    proposed the more practical iRLSVI algorithm and we showed that in episodic MDP learning problems, it can significantly reduce regret via empirical results.

    Biography: Dengwang Tang is currently a postdoctoral researcher at University of Southern California. He obtained his B.S.E in Computer Engineering from University of Michigan,
    Ann Arbor in 2016. He earned his Ph.D. in Electrical and Computer Engineering (2021), M.S. in Mathematics (2021), and M.S. in Electrical and Computer Engineering (2018) all
    from University of Michigan, Ann Arbor. Before joining USC, he was a postdoctoral researcher at University of California, Berkeley. His research interests involve control
    and learning algorithms in stochastic dynamic systems, multi-agent systems, queuing theory, and dynamic games.

    Host: Pierluigi Nuzzo

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • NL Seminar -Red Teaming Language Model Detectors with Language Models

    Thu, Feb 22, 2024 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Yihan Wang, UCLA

    Talk Title: Red Teaming Language Model Detectors with Language Models

    Series: NL Seminar

    Abstract: REMINDER: This talk will be a live presentation only, it will not be recorded.  Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please provide your: Full Name, Title and Name of Workplace to (nlg-seminar-host(at)isi.edu) beforehand so we’ll be aware of your attendance. Also, let us know if you plan to attend in-person or virtually. More Info for NL Seminars can be found at: https://nlg.isi.edu/nl-seminar/  The prevalence and strong capability of large language models (LLMs) present significant safety and ethical risks if exploited by malicious users. To prevent the potentially deceptive usage of LLMs, recent works have proposed algorithms to detect LLM-generated text and protect LLMs. In this paper, we investigate the robustness and reliability of these LLM detectors under adversarial attacks. We study two types of attack strategies: 1) replacing certain words in an LLM\'s output with their synonyms given the context; 2) automatically searching for an instructional prompt to alter the writing style of the generation. In both strategies, we leverage an auxiliary LLM to generate the word replacements or the instructional prompt. Different from previous works, we consider a challenging setting where the auxiliary LLM can also be protected by a detector. Experiments reveal that our attacks effectively compromise the performance of all detectors in the study with plausible generations, underscoring the urgent need to improve the robustness of LLM-generated text detection systems. This talk may also introduce some of our other recent works on trustworthy and ethical LLMs.

    Biography: Yihan is Ph.D. student at UCLA in Computer Science. She received her B.Eng. degree in Computer Science and Technology from Tsinghua University in June 2020. Ms. Wang\'s research interest is machine learning, especially improving trustworthiness and generalization of machine learning models. Yihan is currently working with Prof. Cho-Jui Hsieh at UCLA. If speaker approves to be recorded for this NL Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI. Subscribe here to learn more about upcoming seminars: https://www.isi.edu/events/

    Host: Jon May and Justin Cho

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://youtu.be/Fx1T9lyNDh0?si=qEL0QipveladKDwP

    Location: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689

    WebCast Link: https://youtu.be/Fx1T9lyNDh0?si=qEL0QipveladKDwP

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

    Event Link: https://nlg.isi.edu/nl-seminar/

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  • Get To Know Apple Virtual Event

    Thu, Feb 22, 2024 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Get To Know Apple Virtual Event  
     
    Thursday, February 22, 2024
     
    12:00 p.m. - 1:00 p.m. PST  
     
    Virtual - RSVP Required - RSVP HERE:  https://joinapple.avature.net/GetToKnowAppleVirtualEvent 
     
     
    Description:
     
    There’s a place at Apple for every kind of brilliant. Our differences are our greatest strengths, leading to the collaboration and innovation that allow you to do the best work of your life.
     
    During this event, you’ll learn more about Apple, employment opportunities for students, and hear firsthand from recruiters what it takes to stand out during the selection and interview process. Apple has invited a select group of universities across the nation to attend this event. 
     
    You must RSVP if you’re planning to attend. The link to join will be sent out 24 hours before the event.

    Location: Virtual Event

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Leveraging LinkedIn to Network Virtually

    Thu, Feb 22, 2024 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
    This event is designed to help you learn how to network virtually on LinkedIn. You will learn how to draft an introductory message, how to find and research industry professionals, and how to convert your contacts into potential mentee/mentor relationships.   
    Zoom link:  https://usc.zoom.us/meeting/register/tJAtf-2trTwiG9L-XKIegqBHKtaTYQUH3eZ7
    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.zoom.us/meeting/register/tJAtf-2trTwiG9L-XKIegqBHKtaTYQUH3eZ7

    OutlookiCal
  • Boeing Freshman Design Challenge

    Thu, Feb 22, 2024 @ 06:30 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Attend this information session to learn about the Boeing Freshman Design Challenge!
    During the Info Session: Learn about the Challenge, the agenda, and teams, and receive a signup link to Create or join a team.
     
    Date: 02/22/2024
    Time: 6:30 pm - 7:30 pm

    Register for this virtual info session on Zoom HERE. 

     
     
    Target student audience: Freshman, any Viterbi Major is invited! 
    About the freshman Design Challenge: During this unique, resume-building experience, students will also have the opportunity to network with Boeing engineers and executives, who will be available to act as mentors and judges. Also, Representatives from Boeing’s campus team will share upcoming recruitment opportunities

    Location: Virtual Event

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 23, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Fri, Feb 23, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Alfred E. Mann Department of Biomedical Engineering

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Peter Chung, Ph.D., Robert D. Beyer Early Career Chair in the Natural Sciences and an assistant professor in the Department of Physics and Astronomy University of Southern California

    Talk Title: Polymers and Parkinsons: Elucidating Protein Function through Soft Matter Paradigms and Techniques

    Abstract: Despite being unequivocally linked to Parkinson’s disease, the function of alpha-synuclein remains unclear beyond transiently binding to the lipid membrane of synaptic vesicles (organelles filled with neurotransmitters). This is due, in part, to its intrinsically disordered nature; alpha-synuclein does not fold into a globular structure and instead behaves much like a biopolymer. While precluding traditional characterization methods, this makes alpha-synuclein incredibly amenable to investigation via a polymer physics framework. First, through purpose-designed membrane nanoparticles and advanced synchrotron X-ray methods I will demonstrate that alpha-synuclein binds to and collectively works to sterically-stabilize membrane surfaces, a biological manifestation of polyelectrolyte-stabilized colloids. I will then reconcile observed transient binding to synaptic vesicles by establishing that alpha-synuclein preferentially binds to osmotically-stressed membranes (a proxy for neurotransmitter-filled synaptic vesicles), a newly discovered biophysical function by which alpha-synuclein interrogates organelle contents. Utilizing these insights, I will contextualize alpha-synuclein as a guidepost that spatiotemporally directs non-equilibrium

    Biography: Peter Chung is the Robert D. Beyer Early Career Chair in the Natural Sciences and an assistant professor in the Department of Physics and Astronomy at the University of Southern California. His research focuses on the intersection of intrinsically disordered proteins (especially those unequivocally linked to neurodegenerative disease) and soft matter physics, with the hope of understanding emergent phenomena associated with these proteins and repurposing them for basic science research and novel therapeutic approaches. Previously he was a Kadanoff-Rice Postdoctoral Fellow at the University of Chicago and earned his PhD from the University of California, Santa Barbara

    Host: Eunji Chung

    Location: Olin Hall of Engineering (OHE) - 100 B

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Milad Siami

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Milad Siami, Assistant Professor of Electrical and Computer Engineering | Northeastern University

    Talk Title: Optimizing sparse interactions for control and sensing in complex networks

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    This presentation introduces innovative strategies for enhancing control and sensing in large- scale complex networks, with a focus on minimizing resource usage to improve system performance. We address the challenge of non-submodular sensor scheduling in large-scale linear time-varying dynamics, tackling combinatorial, non-convex, NP-hard tasks. Beginning with a simple greedy algorithm, we present an approximation bound based on submodularity and curvature concepts, showing its superiority over existing methods. Shifting to discrete-time autonomous vehicle platoons, we employ graph- theoretic principles for state feedback laws, analyzing stability conditions based on underlying graph properties and update cycles. We explore H2-based robustness, demonstrating the impact of network density and update cycles on system performance. Specifically, we show that denser networks (i.e., networks with more communication links) might require faster agents (i.e., smaller update cycles) to outperform or achieve the same level of robustness as sparse networks (i.e., networks with fewer communication links). Practical examples and results from simulations and experiments, including work with Quanser\'s Qlabs and Qcars, validate the effectiveness of our approaches, emphasizing strategic sensor scheduling and robust design in autonomous vehicle platoons.




    Biography:


    Milad Siami is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University and a Core Faculty Member of the Institute for Experiential AI at the same institution. Prior to joining Northeastern, he served as a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society. He earned his M.Sc. and Ph.D. degrees in Mechanical Engineering from Lehigh University and was a long- term visiting researcher at the Institute for Mathematics and Its Applications at the University of Minnesota. Additionally, he has experience as a Software Engineering Research Intern in the Modeling and Data Mining Group at Google Research NYC. Dr. Siami\'s research primarily focuses on the structural/graphical underpinnings of large-scale
    dynamical networks and enhancing the reliability and security of AI-based autonomous systems. His specific areas of interest include distributed control systems, multi-robot systems, and autonomous networks. His current research is supported by grants from the National Science Foundation (NSF), the Department of Homeland Security (DHS), the Office of Naval Research (ONR), and the Army Research Laboratory (ARL).




    Host: Dr. Mihailo Jovanovic

    More Info: https://csc.usc.edu/seminars/2024Spring/siami.html

    More Information: 2024.02.23 Seminar - Milad Siami.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/siami.html

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Milad Siami

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Milad Siami, Assistant Professor of Electrical and Computer Engineering | Northeastern University

    Talk Title: Optimizing sparse interactions for control and sensing in complex networks

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    This presentation introduces innovative strategies for enhancing control and sensing in large- scale complex networks, with a focus on minimizing resource usage to improve system performance. We address the challenge of non-submodular sensor scheduling in large-scale linear time-varying dynamics, tackling combinatorial, non-convex, NP-hard tasks. Beginning with a simple greedy algorithm, we present an approximation bound based on submodularity and curvature concepts, showing its superiority over existing methods. Shifting to discrete-time autonomous vehicle platoons, we employ graph- theoretic principles for state feedback laws, analyzing stability conditions based on underlying graph properties and update cycles. We explore H2-based robustness, demonstrating the impact of network density and update cycles on system performance. Specifically, we show that denser networks (i.e., networks with more communication links) might require faster agents (i.e., smaller update cycles) to outperform or achieve the same level of robustness as sparse networks (i.e., networks with fewer communication links). Practical examples and results from simulations and experiments, including work with Quanser\'s Qlabs and Qcars, validate the effectiveness of our approaches, emphasizing strategic sensor scheduling and robust design in autonomous vehicle platoons.




    Biography:


    Milad Siami is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University and a Core Faculty Member of the Institute for Experiential AI at the same institution. Prior to joining Northeastern, he served as a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society. He earned his M.Sc. and Ph.D. degrees in Mechanical Engineering from Lehigh University and was a long- term visiting researcher at the Institute for Mathematics and Its Applications at the University of Minnesota. Additionally, he has experience as a Software Engineering Research Intern in the Modeling and Data Mining Group at Google Research NYC. Dr. Siami\'s research primarily focuses on the structural/graphical underpinnings of large-scale dynamical networks and enhancing the reliability and security of AI-based autonomous systems. His specific areas of interest include distributed control systems, multi-robot systems, and autonomous networks. His current research is supported by grants from the National Science Foundation (NSF), the Department of Homeland Security (DHS), the Office of Naval Research (ONR), and the Army Research Laboratory (ARL).




    Host: Dr. Mihailo Jovanovic

    More Info: https://csc.usc.edu/seminars/2024Spring/siami.html

    More Information: 2024.02.23 Seminar - Milad Siami.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/siami.html

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Milad Siami

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Milad Siami, Assistant Professor of Electrical and Computer Engineering | Northeastern University

    Talk Title: Optimizing sparse interactions for control and sensing in complex networks

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    This presentation introduces innovative strategies for enhancing control and sensing in large- scale complex networks, with a focus on minimizing resource usage to improve system performance. We address the challenge of non-submodular sensor scheduling in large-scale linear time-varying dynamics, tackling combinatorial, non-convex, NP-hard tasks. Beginning with a simple greedy algorithm, we present an approximation bound based on submodularity and curvature concepts, showing its superiority over existing methods. Shifting to discrete-time autonomous vehicle platoons, we employ graph- theoretic principles for state feedback laws, analyzing stability conditions based on underlying graph properties and update cycles. We explore H2-based robustness, demonstrating the impact of network density and update cycles on system performance. Specifically, we show that denser networks (i.e., networks with more communication links) might require faster agents (i.e., smaller update cycles) to outperform or achieve the same level of robustness as sparse networks (i.e., networks with fewer communication links). Practical examples and results from simulations and experiments, including work with Quanser\'s Qlabs and Qcars, validate the effectiveness of our approaches, emphasizing strategic sensor scheduling and robust design in autonomous vehicle platoons.




    Biography:


    Milad Siami is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University and a Core Faculty Member of the Institute for Experiential AI at the same institution. Prior to joining Northeastern, he served as a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society. He earned his M.Sc. and Ph.D. degrees in Mechanical Engineering from Lehigh University and was a long- term visiting researcher at the Institute for Mathematics and Its Applications at the University of Minnesota. Additionally, he has experience as a Software Engineering Research Intern in the Modeling and Data Mining Group at Google Research NYC. Dr. Siami\'s research primarily focuses on the structural/graphical underpinnings of large-scale dynamical networks and enhancing the reliability and security of AI-based autonomous systems. His specific areas of interest include distributed control systems, multi-robot systems, and autonomous networks. His current research is supported by grants from the National Science Foundation (NSF), the Department of Homeland Security (DHS), the Office of Naval Research (ONR), and the Army Research Laboratory (ARL).




    Host: Dr. Mihailo Jovanovic

    More Information: 2024.02.23 Seminar - Milad Siami.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Milad Siami

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Milad Siami, Assistant Professor of Electrical and Computer Engineering | Northeastern University

    Talk Title: Optimizing sparse interactions for control and sensing in complex networks

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    This presentation introduces innovative strategies for enhancing control and sensing in large- scale complex networks, with a focus on minimizing resource usage to improve system performance. We address the challenge of non-submodular sensor scheduling in large-scale linear time-varying dynamics, tackling combinatorial, non-convex, NP-hard tasks. Beginning with a simple greedy algorithm, we present an approximation bound based on submodularity and curvature concepts, showing its superiority over existing methods. Shifting to discrete-time autonomous vehicle platoons, we employ graph- theoretic principles for state feedback laws, analyzing stability conditions based on underlying graph properties and update cycles. We explore H2-based robustness, demonstrating the impact of network density and update cycles on system performance. Specifically, we show that denser networks (i.e., networks with more communication links) might require faster agents (i.e., smaller update cycles) to outperform or achieve the same level of robustness as sparse networks (i.e., networks with fewer communication links). Practical examples and results from simulations and experiments, including work with Quanser\'s Qlabs and Qcars, validate the effectiveness of our approaches, emphasizing strategic sensor scheduling and robust design in autonomous vehicle platoons.




    Biography:


    Milad Siami is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University and a Core Faculty Member of the Institute for Experiential AI at the same institution. Prior to joining Northeastern, he served as a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society. He earned his M.Sc. and Ph.D. degrees in Mechanical Engineering from Lehigh University and was a long- term visiting researcher at the Institute for Mathematics and Its Applications at the University of Minnesota. Additionally, he has experience as a Software Engineering Research Intern in the Modeling and Data Mining Group at Google Research NYC. Dr. Siami\'s research primarily focuses on the structural/graphical underpinnings of large-scale dynamical networks and enhancing the reliability and security of AI-based autonomous systems. His specific areas of interest include distributed control systems, multi-robot systems, and autonomous networks. His current research is supported by grants from the National Science Foundation (NSF), the Department of Homeland Security (DHS), the Office of Naval Research (ONR), and the Army Research Laboratory (ARL).




    Host: Dr. Mihailo Jovanovic, mihailo@usc.edu

    More Info: https://csc.usc.edu/seminars/2024Spring/siami.html

    More Information: 2024.02.23 Seminar - Milad Siami.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/siami.html

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Milad Siami

    Fri, Feb 23, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Milad Siami, Assistant Professor of Electrical and Computer Engineering | Northeastern University

    Talk Title: Optimizing sparse interactions for control and sensing in complex networks

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    This presentation introduces innovative strategies for enhancing control and sensing in large- scale complex networks, with a focus on minimizing resource usage to improve system performance. We address the challenge of non-submodular sensor scheduling in large-scale linear time-varying dynamics, tackling combinatorial, non-convex, NP-hard tasks. Beginning with a simple greedy algorithm, we present an approximation bound based on submodularity and curvature concepts, showing its superiority over existing methods. Shifting to discrete-time autonomous vehicle platoons, we employ graph- theoretic principles for state feedback laws, analyzing stability conditions based on underlying graph properties and update cycles. We explore H2-based robustness, demonstrating the impact of network density and update cycles on system performance. Specifically, we show that denser networks (i.e., networks with more communication links) might require faster agents (i.e., smaller update cycles) to outperform or achieve the same level of robustness as sparse networks (i.e., networks with fewer communication links). Practical examples and results from simulations and experiments, including work with Quanser\'s Qlabs and Qcars, validate the effectiveness of our approaches, emphasizing strategic sensor scheduling and robust design in autonomous vehicle platoons.




    Biography:


    Milad Siami is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University and a Core Faculty Member of the Institute for Experiential AI at the same institution. Prior to joining Northeastern, he served as a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society. He earned his M.Sc. and Ph.D. degrees in Mechanical Engineering from Lehigh University and was a long- term visiting researcher at the Institute for Mathematics and Its Applications at the University of Minnesota. Additionally, he has experience as a Software Engineering Research Intern in the Modeling and Data Mining Group at Google Research NYC. Dr. Siami\'s research primarily focuses on the structural/graphical underpinnings of large-scale dynamical networks and enhancing the reliability and security of AI-based autonomous systems. His specific areas of interest include distributed control systems, multi-robot systems, and autonomous networks. His current research is supported by grants from the National Science Foundation (NSF), the Department of Homeland Security (DHS), the Office of Naval Research (ONR), and the Army Research Laboratory (ARL).




    Host: Dr. Mihailo Jovanovic, mihailo@usc.edu

    More Info: https://csc.usc.edu/seminars/2024Spring/siami.html

    More Information: 2024.02.23 Seminar - Milad Siami.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/siami.html

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  • ECE Seminar

    Fri, Feb 23, 2024 @ 03:30 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jorge F. Silva, PhD, Universidad de Chile

    Talk Title: Information Theoretic Measures for Representation Learning

    Abstract: Information-theoretic measures have been widely adopted for machine learning (ML) feature design. Inspired by this, we look at the relationship between information loss in the Shannon sense and the operation loss in the minimum probability of error (MPE) sense when considering a family of lossy representations (or encoders). In this talk, we introduce a series of results that show how adequate the adoption of mutual information (MI) is for predicting the operational quality of a representation in classification. Our findings support the observation that selecting/designing representations that capture informational sufficiency (IS) is appropriate for learning. However, we also show that this selection is rather conservative if the intended goal is achieving MPE in classification. We conclude by discussing the capacity of the information bottleneck (IB) method to achieve lossless prediction and the expressive power of digital encoders in ML.

    Biography: Information-theoretic measures have been widely adopted for machine learning (ML) feature design. Inspired by this, we look at the relationship between information loss in the Shannon sense and the operation loss in the minimum probability of error (MPE) sense when considering a family of lossy representations (or encoders). In this talk, we introduce a series of results that show how adequate the adoption of mutual information (MI) is for predicting the operational quality of a representation in classification. Our findings support the observation that selecting/designing representations that capture informational sufficiency (IS) is appropriate for learning. However, we also show that this selection is rather conservative if the intended goal is achieving MPE in classification. We conclude by discussing the capacity of the information bottleneck (IB) method to achieve lossless prediction and the expressive power of digital encoders in ML.

    Host: Dr. Eduardo Pavez

    More Information: Jorge Silva Seminar 2.23.24.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Gloria Halfacre

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  • KIUEL: L'Oreal Brandstorm Demo Day (National Engineers Day)

    Fri, Feb 23, 2024 @ 06:00 PM - 09:00 PM

    USC Viterbi School of Engineering

    Receptions & Special Events


    The competition finale hosted by the Society of Cosmetic Chemists and KIUEL. Follow KIUEL’s Instagram for updates!

    Location: Sign into EngageSC to View Location

    Audiences:

    Contact: Kevin Giang

    Event Link: https://engage.usc.edu/viterbi/rsvp?id=395824

    OutlookiCal
  • Repeating EventAircraft Accident Investigation AAI 24-3

    Mon, Feb 26, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab. The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.

    Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI3

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Feb 26, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

    OutlookiCal
  • Repeating EventEiS Communications Hub Drop-In Hours

    Mon, Feb 26, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

    OutlookiCal
  • DREAM Industry Mentorship speaker series- with Kim Cooper

    Mon, Feb 26, 2024 @ 12:00 PM - 01:00 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM connects students with experienced industry professionals from a variety of tech and destination companies who help them create a vision for their futures, align their careers around purpose, and build character in the context of growth, reinvention, and constant change. Industry mentors discuss how professional challenges present opportunities for character and leadership development. This event features Kim Cooper, founder and trailblazer in VR/AR/XR, and the challenges and opportunities for entrepreneurs at the intersection of cinema, tech, and design. Co sponsored by Women in Engineering (WIE).  

    Location: Michelson Center for Convergent Bioscience (MCB) - 102

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r394798

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  • AME Seminar

    Mon, Feb 26, 2024 @ 01:30 PM - 02:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Zach Patterson, MIT

    Talk Title: Blending Soft and Rigid for Physical Intelligence in Robotics

    Abstract: Most large animals have a blend of soft and rigid materials in their load-bearing structures. This design principle is largely overlooked by traditional robotics, which favors rigid materials, and by soft robotics, which predominantly uses soft components. Inspired by the natural integration of these materials in the animal kingdom, my research aims to develop robotic systems that combine soft and rigid elements harmoniously, leading to inherent \"physical intelligence.” I will begin with an exploration of manipulators that embody this innovative soft-strong paradigm, followed by a discussion on the critical role of advanced control algorithms in harnessing physical intelligence effectively. Next, I will showcase the application of this soft-rigid hybrid approach in creating biomimetic robots, drawing inspiration from marine creatures like sea turtles and echinoderms. These biomimetic robots serve as versatile experimental platforms, enabling us to explore and elucidate questions in biomechanics and paleobiology that are otherwise challenging to address. I will finally discuss how these diverse categories of robots could revolutionize the interactions of intelligent machines with the environment.

    Biography: Zach Patterson is a Postdoctoral Associate at the MIT Computer Science & Artificial Intelligence Lab. His research sits at the intersection of robot design, control, and biomimetics with a focus on utilizing soft robotic technologies. Zach received his B.S. in Mechanical Engineering from the University of Pittsburgh in 2017 and his Ph.D. in Mechanical Engineering from Carnegie Mellon University in 2022.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Location: Olin Hall of Engineering (OHE) - 406

    WebCast Link: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • CSC/CommNetS-MHI Seminar: Ingvar Ziemann

    Mon, Feb 26, 2024 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ingvar Ziemann, Postdoctoral Researcher | University of Pennsylvania

    Talk Title: Sharp rates in dependent learning theory

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract: In this talk I discuss some recent advances in supervised learning with dependent data. In particular, the emphasis of this talk is to provide an instance-optimal understanding of learning with dependent data for the square loss function. The approach I present yields rates that match and extend known asymptotics even without any realizability assumption. This stands in stark contrast to typical non-asymptotic results which exhibit variance proxies that are deflated multiplicatively by the mixing time of the underlying data-generating process. Indeed, our results instead scale additively with the mixing time and are thereby only affected by second order statistics in the leading term. The key to obtaining this scaling is the introduction of the notion of a weakly sub-Gaussian class, which allows us to invoke mixed tail generic chaining. This notion is general enough to nearly all cover smooth hypothesis classes and a wide range of parametric classes. As a motivating example, I will also discuss our recent work on multi-task learning. Even when the problem itself is realizable, the analysis of a natural “two-stage” estimator decomposes into two supervised learning problems: one which is realizable, and one which is not. In this setting, we demonstrate how our refined understanding of supervised learning with dependent data can be applied to extend and sharpen existing guarantees for iid multi-task learning.

    Biography: Ingvar Ziemann is a postdoctoral researcher at the University of Pennsylvania. He received his PhD in November 2022 from the Division of Decision and Control Systems at The Royal Institute of Technology (KTH) under the supervision of Henrik Sandberg. His research is centered on using statistical and information theoretic tools to study learning-enabled control methods, with a current interest in studying how learning algorithms generalize in the context of dynamical systems. Prior to starting his Ph.D., he obtained two sets of Master\'s and Bachelor\'s degrees in Mathematics (SU/KTH) and in Economics and Finance (SSE). Ingvar is the recipient of a Swedish Research Council International Postdoc Grant, the 2022 IEEE Conference on Decision and Control Best Student Paper Award, and the 2017 Stockholm Mathematics Center Excellent Master Thesis Award. 

    Host: Dr. Lars Lindemann

    More Info: https://csc.usc.edu/seminars/2024Spring/ziemann.html

    More Information: 2024.02.26 CSC Seminar - Ingvar Ziemann.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    Event Link: https://csc.usc.edu/seminars/2024Spring/ziemann.html

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  • Repeating EventAircraft Accident Investigation AAI 24-3

    Tue, Feb 27, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab. The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.

    Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI3

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  • ECE Seminar: Dr. Giacomo Nannicini

    Tue, Feb 27, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Giacomo Nannicini, Associate Professor, Epstein Dept of ISE, USC Viterbi School of Engineering

    Talk Title: Convex Optimization Algorithms on Quantum Computers

    Abstract: Optimization is often mentioned as one of the main application areas for quantum computers, but is this claim backed up by theoretical evidence? In this talk we provide a gentle overview of recent advances in quantum optimization, with an emphasis on algorithms and subroutines for convex optimization problems that lead to rigorous asymptotic speedups. The main results of this talk are a faster classical algorithm for the semidefinite relaxation of the MaxCut problem, an even faster quantum algorithm for the same problem, and a new idea for linear optimization on quantum computers.

    Biography: Giacomo Nannicini is an associate professor in the Industrial & Systems Engineering department at the University of Southern California, which he joined in 2022. Prior to that, he was a research staff member in the quantum algorithms group at the IBM T. J. Watson Research Center, and an assistant professor in the Engineering Systems and Design pillar at the Singapore University of Technology and Design. His main research interest is optimization broadly defined and its applications. Giacomo received several awards, including the 2021 Beale--Orchard-Hays prize, the 2015 Robert Faure prize, and the 2012 Glover-Klingman prize.

    Host: Dr. Richard M. Leahy, leahy@usc.edu

    Webcast: https://usc.zoom.us/j/95762332255?pwd=NitkT2p5c1kvWWp0a0JuUUVNZTRudz09

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    WebCast Link: https://usc.zoom.us/j/95762332255?pwd=NitkT2p5c1kvWWp0a0JuUUVNZTRudz09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • ECE-EP Seminar - Aziza Suleymanzade, Tuesday, Feb. 27th at 2pm via Zoom

    Tue, Feb 27, 2024 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Aziza Suleymanzade, Harvard University

    Talk Title: Building quantum networks: from solid-state defects and Rydberg atoms in cavities to a new scientific frontier with hybrid quantum systems

    Series: ECE-EP Seminar

    Abstract: The experimental development of quantum networks marks a significant scientific milestone, poised to enable secure quantum communication, distributed quantum computing, and entanglement-enhanced nonlocal sensing. In this talk, I will discuss the recent advancements in the field along with the outstanding challenges through my work on two different platforms: Silicon Vacancy defects in diamond nanophotonic cavities and Rydberg atoms coupled to hybrid cavities. First, I will present our recent results on distributing entanglement across a two-node network with on-chip solid-state defects in cavities which we built at Harvard. We demonstrated high-fidelity entanglement between communication and memory qubits and showed long-distance entanglement over the 35 km of deployed fiber in the Cambridge/Boston area. Second, I will describe our work at the University of Chicago on using Rydberg atoms as transducers of quantum information between optical and microwave photons, with the goal of integrating Rydberg platforms with superconducting circuits and paving the way for advanced quantum network architectures. The talk will conclude with a perspective on the potential of this hybrid platform approach in constructing quantum networks, highlighting the uncharted scientific and technological opportunities it could unlock.

    Biography: Aziza is a postdoc at Harvard in the group of Mikhail Lukin. She did her PhD at the University of Chicago in groups of Jon Simon and David Schuster, working on the transduction of single optical to millimeter wave photons using Rydberg atoms in cavities. Aziza got a Bachelor\'s degree from Harvard University and an MPhil from the University of Cambridge, where she built an experiment for generating potassium-39 BEC in a uniform box potential.   

    Host: ECE-EP

    More Info: https://usc.zoom.us/j/96689616375?pwd=bGJ0dXZZUEdxTjN3bHFlL3ZnVWdVUT09

    More Information: Aziza Suleymanzade Seminar Announcement.pdf

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

    Event Link: https://usc.zoom.us/j/96689616375?pwd=bGJ0dXZZUEdxTjN3bHFlL3ZnVWdVUT09

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Feb 27, 2024 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Xiaolei Fang, Assistant Professor, Department of Industrial & Systems Engr, North Carolina State University

    Talk Title: High-Dimensional Data Analytics for System Condition Monitoring and Performance Improvement

    Host: Prof. Qiang Huang

    More Information: February 27, 2024.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • MFD Spring Seminars- Distinguished Lecture Series

    Tue, Feb 27, 2024 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Mark Hersam , North Western University

    Talk Title: Mixed-Dimensional Heterostructures for Electronic and Energy Technologies

    Abstract: Layered two-dimensional (2D) materials interact primarily via van der Waals bonding, which has created new opportunities for heterostructures that are not constrained by epitaxial lattice matching requirements [1]. However, since any passivated, dangling bond-free surface interacts with another via non-covalent forces, van der Waals heterostructures are not limited to 2D materials alone. In particular, 2D materials can be integrated with a diverse range of other materials, including those of different dimensionality, to form mixed-dimensional van der Waals heterostructures [2]. Furthermore, chemical functionalization provides additional opportunities for tailoring the properties of 2D materials and the degree of coupling across heterointerfaces [3]. In this manner, a variety of optoelectronic and energy applications can be enhanced including photodetectors, optical emitters, supercapacitors, and batteries [4-7]. Furthermore, mixed-dimensional heterostructures enable unprecedented electronic device function to be realized including neuromorphic memtransistors, mixed-kernel heterojunction transistors, and moiré synaptic transistors [8-10]. In addition to technological implications for electronic and energy technologies, this talk will explore several fundamental issues including band alignment, doping, trap states, and charge/energy transfer across mixed-dimensional heterointerfaces.

    Biography: Mark C. Hersam is the Walter P. Murphy Professor of Materials Science and Engineering, Director of the Materials Research Center, and Chair of the Materials Science and Engineering Department at Northwestern University. He also holds faculty appointments in the Departments of Chemistry, Applied Physics, Medicine, and Electrical Engineering. He earned a B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 1996, M.Phil. in Physics from the University of Cambridge (UK) in 1997, and Ph.D. in Electrical Engineering from UIUC in 2000. His research interests include nanomaterials, additive manufacturing, nanoelectronics, scanning probe microscopy, renewable energy, and quantum information science. Dr. Hersam has received several honors including the Presidential Early Career Award for Scientists and Engineers, TMS Robert Lansing Hardy Award, AVS Peter Mark Award, MRS Outstanding Young Investigator, U.S. Science Envoy, MacArthur Fellowship, AVS Medard W. Welch Award, and eight Teacher of the Year Awards. Dr. Hersam has been repeatedly named a Clarivate Analytics Highly Cited Researcher with over 650 peer-reviewed publications that have been cited more than 70,000 times with an h-index of 125. An elected member of the National Academy of Inventors with over 170 issued and pending patents, Dr. Hersam has founded two companies, NanoIntegris and Volexion, which are commercial suppliers of nanoelectronic and battery materials, respectively. Dr. Hersam is a Fellow of MRS, ACS, AVS, APS, AAAS, SPIE, and IEEE, and also serves as an Executive Editor of ACS Nano.

    Host: Mork Family Department

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    Audiences: Everyone Is Invited

    Contact: Monique Garcia

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  • Repeating EventAircraft Accident Investigation AAI 24-3

    Wed, Feb 28, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab. The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.

    Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI3

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 28, 2024 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Viterbi Ph.D. Students

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home?authuser=0

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  • Repeating EventEiS Communications Hub Drop-In Hours

    Wed, Feb 28, 2024 @ 10:00 AM - 01:00 PM

    Engineering in Society Program

    Student Activity


    Drop-in hours for writing and speaking support for Viterbi Ph.D. students

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • CS Colloquium: Luyi Xing (Indiana University) - Security Foundations for Cloud-based IoT Systems

    Wed, Feb 28, 2024 @ 10:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Luyi Xing, Indiana University

    Talk Title: Security Foundations for Cloud-based IoT Systems

    Abstract: The Internet of Things (IoT) cloud is one of the key pillars of the foundation upon which modern IoT systems rest (Smart Home, Industrial, Smart City, Retail, and Health applications, etc.). IoT manufacturers generally deploy IoT devices under managed PaaS and IaaS IoT cloud services (e.g., AWS IoT Core, Azure IoT Hub, SmartThings, Apple Home/iCloud), which offload much of the security responsibilities and deployment burden to the cloud providers. IoT clouds must trust-manage hundreds of millions of IoT devices and users, and provide device manufacturers reliable and usable tools for secure IoT deployments and control. In IoT systems, compromised security or improper deployments can cause hazardous situations and serious consequences.    In this talk, we will focus on three areas of fundamental problems in the security of IoT systems: (1) IoT supply chain, (2) IoT security models and real-world deployments, (3) emerging IoT design and application paradigms. Our systematic research in advancing these areas are backed by formal verification,  automatic analysis on protocols and programs, and ML/AI-based semantic analysis and formal-model generation. We developed principled, open-source approaches to reveal emerging threats, and formally verify complex, deployed IoT systems to provide new security and privacy guarantees. We identified more than 50 new types of attacks/vulnerabilities in 200+ IoT devices/services (e.g., smart locks, drones) with serious security, safety, and privacy implications. Our formal verification tools have been adopted by industry and government agencies such as AWS. Our security patches have been adopted and deployed by 50+ IoT vendors (AWS IoT, Apple HomeKit, Samsung SmartThings, Microsoft Azure IoT, Yale Locks, August, iRobot, etc.).  
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Luyi Xing is an Assistant Professor in the department of Computer Science, Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington since 2018. He is founder of the System Security Foundations lab at IU. Prior to IU, he had years of professional experience in engineering large production systems at AWS and Amazon. He is a recipient of the NSF CAREER award (2021, IoT systems security), Facebook Research Award (2021, Privacy Enhancing Technologies), 5 Facebook Whitehat awards (2012, 2013, 2020, 2021), Google Developer Data Protection award (2019), Microsoft Whitehat award (2019), Android Security Acknowledgements (2013 - 2016, 2018) and Apple Security Acknowledgement (2015, 2019, 2020), among others.    His research has changed the design space (access control, authentication) of hundreds of operating system modules (Unix/Linux based OSes, MacOS, Android, iOS), applications, and online services that almost every citizen uses every day. His research aims at improving guarantees for security and privacy in deployed systems, in particular, IoT, cloud, mobile, and software supply chain, with efforts in formal verification, program analysis, machine learning/NLP, compliance, and technology standardization. His research has led to the discovery of 100+ new types of vulnerabilities in the design of commercial and open-source systems, uncovering new attack techniques and undermining prior security guarantees and assumptions. He is a pioneer for a few key research directions, including formal methods for IoT systems security, logic flaws in systems, iOS security and privacy, and security of IoT standards. He is an active practitioner in applying AI/NLP for system security and formal methods.  

    Host: Chao Wang

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Contact: CS Faculty Affairs

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  • Computer Science General Faculty Meeting

    Wed, Feb 28, 2024 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Assistant to CS Chair

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  • DEN@Viterbi: How to Apply Virtual Info Session

    Wed, Feb 28, 2024 @ 12:00 PM - 01:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master\'s degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi\'s flexible online DEN@Viterbi delivery method. Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session. 

    WebCast Link: https://uscviterbi.webex.com/weblink/register/r2dd68e4a309913125039973cffce6a66

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/r2dd68e4a309913125039973cffce6a66

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  • VLP Writing Workshop

    Wed, Feb 28, 2024 @ 02:00 PM - 05:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Need help with WRIT 150, WRIT 340, or writing for any other course? Looking to get feedback on a final essay, project, application or other writing? Then join the VLP for snacks & expert feedback from our Writing Consultant! The Writing Consultant is available for one-on-one writing consultations from during this event. Take advantage of the study space and snacks to power through your midterm essays!

    Location: Ronald Tutor Hall of Engineering (RTH) - 222

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r395434

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  • AME Seminar

    Wed, Feb 28, 2024 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Keya Ghonasgi, Georgia Institute of Technology

    Talk Title: Intelligent Wearable Systems for Synergistic Human-Robot Interactions

    Abstract: Wearable robots hold immense, untapped potential to enhance human performance through physical interactions combining human and robot abilities. For instance, assistive robots can follow user intent while overcoming limitations like reduced strength due to neurological injuries. Surgical robots can enhance expert surgeons’ skill with precision and accuracy. In the future, wearable robots could become as ubiquitous as smart watches and phones. However, current state-of-the-art solutions face challenges – providing limited improvements in performance, being expensive and impractical for the real-world, or causing discomfort, leading to abandonment. This talk showcases three avenues to unlock the promised synergistic potential of humans and robots.
    First, I explore the role of understanding human interaction behaviors in the development of responsive robots. For example, combining data-driven and model-based approaches can help us characterize behaviors and identify generalizable movement patterns. Next, I discuss how robots can be tailored to suit human biomechanics and abilities. For instance, can diverse users easily interact with the device? If not, can humans be taught to interact with non-intuitive robots? Finally, I motivate the need for simultaneous learning in the individual and the robot. Such co-evolving systems enable personalized interactions, especially beneficial for individualized rehabilitation or skill training applications. These research areas are interlinked, requiring an interdisciplinary approach at the intersection of human neuroscience and biomechanics, artificial intelligence, and robot design and control. This research empowers synergistic robot interactions and paves the way for the seamless integration of wearable robots into human life.

    Biography: Keya Ghonasgi is a postdoctoral fellow at the Georgia Institute of Technology where she works with lower limb assistive devices. She received her Ph.D. in Mechanical Engineering from the University of Texas at Austin (UT) in 2023 and her M.S. in Mechanical Engineering from Columbia University in 2018. Keya’s research on robotic exoskeletons has led to honors including being selected as a Rising Star in Mechanical Engineering (2022) and a CalTech Young Investigator Lecturer (2023). Keya’s work has been funded through various sources including a UT graduate student fellowship award, an NSF M3X grant, and industry collaborations with Meta Reality Labs and Google Brain. Keya is passionate about developing the next generation of human-interactive technology in the form of wearable robots that harness synergistic human and robot capabilities.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    WebCast Link: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • Boeing Trojan Talk

    Wed, Feb 28, 2024 @ 05:30 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Do you want to shape aerospace innovation?
    Attend this information session to learn about The Boeing Company and our recruitment opportunities. Boeing engineers and recruiters will be in attendance to engage with you and answer your questions.
     
    Food will be served! 
    We have a shared calling to do great things: to create innovative aerospace products and technologies that will build a better future. Join us.


    Location: Ronald Tutor Hall Room 211


    Date: Wednesday, February 28


    Time: 5:30 - 7 pm 


     
    Basic Qualifications:
    Currently enrolled in a Bachelor’s or Master’s degree program
    Interns must be able to work full-time for 10-12 weeks during Summer 2024.
    Entry-level candidates are those that will be graduating in Spring/Summer 2024
    Business Majors: Business Admin, Supply Chain, Finance, Accounting, HR, Psychology, Political Science, Marketing, Data Analytics, Information Technology, Law, Organizational Development, Environmental Science, Management Information Systems, etc.
    Engineering Majors: Aeronautical/Aerospace Engineering, Applied Mathematics, Chemical Engineering, Chemistry, Civil/Structural Engineering, Computer Engineering, Computer Science, Cybersecurity Engineering, Electrical Engineering,  Industrial Engineering, Manufacturing Engineering, Material Science, Materials Engineering, Mathematics, Mechanical Engineering, Metallurgy, Physics, Robotics Engineering, Software Engineering, Structural Engineering or Systems Engineering, etc.
     
    International Students:
    While the majority of positions require either US Person or US Citizen status, international candidates are encouraged to apply to any position that does not list these specific requirements in the job posting.
    Due to the sensitive nature of our business, positions for international students in the US are limited – Positions outside of the US are continuing to expand as we become a more global company.
    We encourage students to explore job opportunities in their home country if a position that fits their skills / interests is not currently available in the US.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Repeating EventAircraft Accident Investigation AAI 24-3

    Thu, Feb 29, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab. The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.

    Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI3

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  • 2024 Viterbi Keynote Lecture

    Thu, Feb 29, 2024 @ 03:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Arogyaswami Paulraj, Emeritus Professor, Stanford University

    Talk Title: Big Ideas in Mobile Wireless Technology: Many are Called, but Only Some are Chosen

    Series: Viterbi Lecture

    Abstract: This talk takes a panoramic view of the evolution of mobile wireless technology from 2G to 5G. The research community has put forth several significant ideas, but only some (as of yet) have actually made it into mobile standards. This talk takes a somewhat simplistic (but hopefully accessible) view of these ideas and outlines the complex tradeoffs that pick winners and losers.

    Biography: Paulraj is an Emeritus Professor at Stanford University and a pioneer of MIMO (Multiple Input, Multiple Output) wireless, the key technology adopted in all modern wireless systems. Paulraj served for 25 years with the Indian Navy, leading programs in ASW Naval sonar systems for a decade and, for shorter periods, other major Indian national initiatives in AI, high-speed computing, and combat jet aircraft. He received a Ph.D. from the Indian Institute of Technology, New Delhi, India, in 1973. After prematurely retiring from the Navy in 1991, Paulraj joined Stanford University as a research associate. Paulraj founded Iospan Wireless Inc., which pioneered MIMO-OFDMA wireless technology. He co-founded Beceem Communications Inc., which became the leader in 4G-WiMAX chip sets. And later, he founded Rasa Networks for AI-based WiFi network analytics. These companies were acquired by Intel, Broadcom, and HPE, respectively. Paulraj\'s recognitions include the 2023 IET Faraday Medal, the 2014 Marconi Prize, the 2011 IEEE Alexander Graham Bell Medal, the 2018 Induction into the US Patent Office’s National Inventors Hall of Fame, and the 2022 Induction into the Wireless History Foundation’s Hall of Fame. He is a member of ten national academies spanning engineering, the sciences, and the arts.  His recognitions also include the Friendship Award from the Government of PR China and the Padma Bhushan from the Government of India.

    Host: Dr. Richard M. Leahy, leahy@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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