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Events for November

  • Tsinghua Undergraduate Research Program - App Open

    Wed, Nov 01, 2023 @ 09:00 AM - 12:00 AM

    Viterbi School of Engineering Student Affairs

    University Calendar


    Live, Study and Research in Beijing this Summer! You are invited to apply to the USC Viterbi & Tsinghua University Undergraduate Summer Research Program! The Tsinghua Undergraduate Research Program allows Viterbi students to participate in research with faculty on-campus for the summer at Tsinghua University in Beijing, China. Students are assigned to a lab and have an assigned Tsinghua student partner. Participants work 30 hours a week doing hands-on research in their assigned lab. During the program students will gain exposure to China and Chinese culture with opportunities to learn more about the country, culture and research approaches. Program Highlights include: Welcome Reception & Campus Tour On-Campus, Dormitory-Style Accommodations 6-7 Weeks over the summer Stipend for visa, airfare, housing, and living expenses 30 Hours per week in research lab Program dates for Summer 2024 are July 1 – August 11, 2024. The application and letter of recommendation deadline is December 1, 2023 at 11:59 p.m. PST. For more information and to apply, please visit the program website.

    Location: Olin Hall of Engineering (OHE) -

    Audiences: Undergrad

    Contact: Alex Bronz

    Event Link: https://studenttravelabroad.usc.edu/index.cfm?FuseAction=Programs.ViewProgramAngular&id=10063

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  • CURVE Spring 2024 Application Now Open

    Wed, Nov 01, 2023 @ 09:00 AM - 12:00 AM

    Viterbi School of Engineering Student Affairs

    University Calendar


    Spring 2024 CURVE Fellowship Applications Open The Center for Undergraduate Research in Viterbi Engineering (CURVE) provides a centralized resource for undergraduate students to explore research opportunities in Viterbi early on in their undergraduate career. Students will be given the opportunity to gain experience on a faculty-led research project. Selected CURVE fellows will be provided with a stipend to aid students in the pursuit of research. CURVE will be offering a limited number of fellowship positions for the spring 2024 semester. Application for the 2024 spring semester is now open until Sunday, November 26, 2023. Priority is granted for first-time researchers who have not been previous recipients of the CURVE fellowship.  Please visit the CURVE website for additional details. For questions, please contact viterbi.studentservices@usc.edu

    Location: Olin Hall of Engineering (OHE) -

    Audiences: Undergrad

    Contact: Alex Bronz

    Event Link: https://viterbiundergrad.usc.edu/research/curve/

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Nov 01, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

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    Contact: Helen Choi

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

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  • CS Colloquium: Fei Miao - Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI

    Wed, Nov 01, 2023 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Fei Miao, University of Connecticut

    Talk Title: Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI

    Series: CS Colloquium

    Abstract: With rapid evolution of sensing, communication, and computation, integrating learning and control presents significant Embodied AI opportunities. However, current decision-making frameworks lack comprehensive understanding of the tridirectional relationship among communication, learning and control, posing challenges for multi-agent systems in complex environments. In the first part of the talk, we focus on learning and control with communication capabilities. We design an uncertainty quantification method for collaborative perception in connected autonomous vehicles (CAVs). Our findings demonstrate that communication among multiple agents can enhance object detection accuracy and reduce uncertainty. Building upon this, we develop a safe and scalable deep multi-agent reinforcement learning (MARL) framework that leverages shared information among agents to improve system safety and efficiency. We validate the benefits of communication in MARL, particularly in the context of CAVs in challenging mixed traffic scenarios. We incentivize agents to communicate and coordinate with a novel reward reallocation scheme based on Shapley value for MARL. Additionally, we present our theoretical analysis of robust MARL methods under state uncertainties, such as uncertainty quantification in the perception modules or worst-case adversarial state perturbations. In the second part of the talk, we briefly outline our research contributions on robust MARL and data-driven robust optimization for sustainable mobility. We also highlight our research results concerning CPS security. Through our findings, we aim to advance Embodied AI and CPS for safety, efficiency, and resiliency in dynamic environments.
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium
     

    Biography: Fei Miao is Pratt & Whitney Associate Professor of the Department of Computer Science and Engineering, a Courtesy Faculty of the Department of Electrical & Computer Engineering, University of Connecticut, where she joined in 2017. She is affiliated to the Institute of Advanced Systems Engineering and Eversource Energy Center. She was a postdoc researcher at the GRASP Lab and the PRECISE Lab of Upenn from 2016 to 2017. She received Ph.D. degree and the Best Doctoral Dissertation Award in Electrical and Systems Engineering, with a dual M.S. degree in Statistics from the University of Pennsylvania in 2016. She received the B.S. degree in Automation from Shanghai Jiao Tong University in 2010. Her research focuses on multi-agent reinforcement learning, robust optimization, uncertainty quantification, and game theory, to address safety, efficiency, robustness, and security challenges of Embodied AI and CPS, for systems such as connected autonomous vehicles, sustainable and intelligent transportation systems, and smart cities.  Dr. Miao is a receipt of the NSF CAREER award and a couple of other awards from NSF. She received the Best Paper Award and Best Paper Award Finalist at the 12th and 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) in 2021 and 2015, Best paper Award at the 2023 AAAI DACC workshop, respectively.

    Host: Heather Culbertson

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

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • AME Seminar

    Wed, Nov 01, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Nikhil Admal, University of Illinois Urbana-Champaign

    Talk Title: TBD

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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

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  • Repeating EventMaseeh Entrepreneurship Prize Competition

    Thu, Nov 02, 2023

    Viterbi Technology Innovation and Entrepreneurship

    Student Activity


    MEPC is accepting applications!
     
    The 2023-2024 Maseeh Entrepreneurship Prize Competition (MEPC) season has officially begun. 
    We are currently accepting applications until Monday, November 6, 2023 @ 11:59pm.
     
    All USC students are invited to participate, although each team must have at least one current Viterbi student (undergrad or grad). The maximum number of team members is 5.
     
    Each team will participate in educational sessions, workshops, and meetings with mentors throughout the academic year. This year's MEPC programming will begin with a Kickoff on December 7, 2023.
     
     https://viterbiinnovation.usc.edu/competitions-and-programs/mepc/

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi TIE

    Event Link: https://viterbiinnovation.usc.edu/competitions-and-programs/mepc/

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  • NL Seminar- What We Learned from 570K ChatGPT Interaction Logs In The Wild

    Thu, Nov 02, 2023 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Wenting Zhao, Cornell University

    Talk Title: What We Learned from 570K ChatGPT Interaction Logs In The Wild

    Series: NL Seminar

    Abstract: Reminder: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom. If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in. In-person attendance will be permitted for USC/ISI faculty, staff, students only. Open to the public virtually via the zoom link. More Info: https://nlg.isi.edu/nl-seminar/ Chatbots such as GPT 4 and ChatGPT are currently serving millions of users. Despite their widespread use, there remains a lack of public datasets that showcase how these tools are used by users in practice. In this talk, I will introduce  in the WildChat, a corpus of 570K user ChatGPT conversations, which comprises over 1.5 million interaction turns. I will show that, compared to other popular user-chatbot interaction datasets, WildChat offers the most diverse user prompts and presents the richest variety of potentially toxic use-cases. Finally, I will demonstrate the potential utility of this dataset in fine-tuning state-of-the-art instruction following models.

    Biography: Wenting Zhao is a Ph.D. candidate in Computer Science at Cornell University. Her research focuses on improving reasoning capabilities of large language models by exploiting explicit problem structures. She organizes an ACL tutorial on complex reasoning over Natural Language and the second workshop on Natural Language Reasoning and Structured Explanations. She has done internships at IBM Research, Amazon Alexa, and AI2 Mosaic.

    Host: Jon May and Justin Cho

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

    Webcast: https://youtu.be/lx1XcTdhalU

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

    WebCast Link: https://youtu.be/lx1XcTdhalU

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

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

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  • Adaptive Attention: Bringing Active Vision into the Camera - Prof. Sanjeev Koppal

    Thu, Nov 02, 2023 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Sanjeev Koppal, University of Florida

    Talk Title: Adaptive Attention: Bringing Active Vision into the Camera

    Abstract: Most cameras today capture images without considering scene content. In contrast, animal eyes have fast mechanical movements that control how the scene is imaged in detail by the fovea, where visual acuity is highest. The prevalence of active vision during biological imaging, and the wide variety of it, makes it very clear that this is an effective visual design strategy. In this talk, I cover our recent work on creating *both* new camera designs and novel vision algorithms to enable adaptive and selective active vision and imaging inside cameras and sensors.

    Biography: Sanjeev J. Koppal is an Associate Professor at the University of Florida’s Electrical and Computer Engineering Department and is a Kent and Linda Fuchs Faculty Fellow. He also holds a UF Term Professorship for 2021-23. Sanjeev is the Director of the FOCUS Lab at UF. Since 2022, Sanjeev has been an Amazon Scholar with Amazon Robotics. Prior to joining UF, he was a researcher at the Texas Instruments Imaging R&D lab. Sanjeev obtained his Masters and Ph.D. degrees from the Robotics Institute at Carnegie Mellon University. After CMU, he was a postdoctoral research associate in the School of Engineering and Applied Sciences at Harvard University. He received his B.S. degree from the University of Southern California in 2003 as a Trustee Scholar. He is a co-author on best student paper awards for ECCV 2016 and NEMS 2018, and work from his FOCUS lab was a CVPR 2019 best-paper finalist. Sanjeev won an NSF CAREER award in 2020 and is an IEEE Senior Member and an Optica Senior Member. His interests span computer vision, computational photography and optics, novel cameras and sensors, 3D reconstruction, physics-based vision, and active illumination

    Host: Gaurav S. Sukhatme

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • Fall Viterbi Homecoming Networking Event

    Thu, Nov 02, 2023 @ 04:00 PM - 06:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


     
    Join us for the Fall 2023 Homecoming Networking Event on November 2, 2023! Don't miss out – there are only a few spots left.
     
    Connect with Viterbi Alumni and industry professionals to gain insights into various employers, explore diverse industries, receive valuable advice from recruiters and engineers, and even have the opportunity to arrange informational interviews.
     
    Plus, we've got a special treat for you – food will be provided!
     
    Hurry, the registration deadline is October 27, 2023. Register today!
     

    Date: Thursday, November 2, 2023
    Time: 4:00pm-6:00pm PST
    Location: Epstein Family Plaza
     

    Organizations Represented by Participating Employers & Alumni

    Amazon, Boeing, Disney, McKinsey & Company, Turner Construction, and much more
     

     How to Register:

    Login to Viterbi Career Gateway
    Go to Events > “Fall 2023 Viterbi Homecoming Networking Event.”

    View the details and logistics of this event on our website.

    Location: Epstein Family Plaza

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://viterbicareers.usc.edu/employers/engage/networkingevent/

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  • Intro to Blockchain Hands-On-Workshop

    Thu, Nov 02, 2023 @ 06:00 PM - 07:00 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Join us for a hands-on workshop with Blockchain@USC to learn about blockchain in the world today. Create your own metamask wallet!

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=393345

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  • Preview Day

    Fri, Nov 03, 2023 @ 09:00 AM - 03:00 PM

    USC Viterbi School of Engineering, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Preview Day is the annual visitation day for students interested in pursuing a Masters or PhD at USC Viterbi School of Engineering.

    Location: Town and Gown

    Audiences: Prospective Viterbi Graduate Students

    Contact: Maria Sandone

    Event Link: https://viterbigradadmission.usc.edu/events/mspreview/

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Fri, Nov 03, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

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    Contact: Helen Choi

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

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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Nov 03, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Heather Clark, Director of the School for Biological and Health Systems Engineering at Arizona State University

    Talk Title: "Nanosensors for Imaging the Chemistry of the Body"

    Abstract: My group is currently working at the interface of chemistry and biology to develop and apply novel nanoscale probes for biological measurements. In order to fulfill our goal of chemical imaging deep in the body (brain, central nervous system, circulatory system) we are we are tailoring our sensors to be compatible with advanced imaging techniques (diffuse in vivo flow cytometry, photoacoustics, or MRI) to image deep in the body. Ultimately, we will use the probes to image specific chemical processes and biomarkers in the brain/body, in real-time. I will discuss two projects that image real-time signaling in the body. The first is a fluorescent probe to measure acetylcholine in the peripheral nervous system, the second is a red blood cell cloaked sensor for sodium that circulates in the blood stream.

    Biography: Heather Clark is the Director of the School for Biological and Health Systems Engineering at Arizona State University and an Associate Editor at ACS Sensors. Previously, she was a Professor at Northeastern University where she was the Founding Director of the Institute for Chemical Imaging of Living Systems. She received her PhD in Analytical Chemistry from the University of Michigan and completed a postdoc in the Center for Cell Analysis & Modeling at the University of Connecticut Health Center. She is a AIMBE Fellow and has received awards for both research and teaching, including the DARPA Young Faculty Award. Her work has been featured in a live CNN interview, the Wall Street Journal, WIRED magazine and MIT Technology Review.

    Host: Maral Mousavi

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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  • VLP Fall Vibes Study Sesh

    Fri, Nov 03, 2023 @ 12:00 PM - 04:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    All Viterbi students are welcome! Chill out with autumnal vibes in a quiet and productive study space - WITH FREE FOOD!Join the Viterbi Learning Program at RTH, refuel with tasty treats, and knock out some studying before the weekend!

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

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r393424

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  • MHI ISSS Seminar - Dr. Sudipto Chakraborty, Friday, Nov 3rd at 2pm in EEB132

    Fri, Nov 03, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Sudipto Chakraborty, IBM T.J. Watson Research Center

    Talk Title: Low power cryo-CMOS design for quantum computing applications

    Series: Integrated Systems

    Abstract: This talk will cover practical challenges for cryogenic CMOS designs for next generation quantum computing. Starting from system level, it will detail the design considerations for a non-multiplexed, semi-autonomous, transmon qubit state controller (QSC) implemented in 14nm CMOS FinFET technology. The QSC includes an augmented general-purpose digital processor that supports waveform generation and phase rotation operations combined with a low power current-mode single sideband upconversion I/Q mixer-based RF arbitrary waveform generator (AWG). Implemented in 14nm CMOS FinFET technology, the QSC generates control signals in its target 4.5GHz to 5.5 GHz frequency range, achieving an SFDR > 50dB for a signal bandwidth of 500MHz. With the controller operating in the 4K stage of a cryostat and connected to a transmon qubit in the cryostat's millikelvin stage, measured transmon T1 and T2 coherence times were 75.5uS and 73 uS, respectively, in each case comparable to results achieved using conventional room temperature controls. In further tests with transmons, a qubit-limited error rate of 7.76x10-4 per Clifford gate is achieved, again comparable to results achieved using room temperature controls. The QSC's maximum RF output power is -18 dBm, and power dissipation per qubit under active control is 23mW.

    Biography: Sudipto Chakraborty received his B. Tech from Indian Institute of Technology, Kharagpur in 1998 and Ph.D in EE from Georgia Institute of Technology in 2002. He worked as a researcher in Georgia Electronic Design Center (GEDC) till 2004. From 2004 to 2016, he was a senior member of technical staff at Texas Instruments where he contributed to low power integrated circuit design in more than 10 product families in the areas of automotive, wireless, medical and microcontrollers. Since 2017, he has been working at the IBM T. J. Watson Research Center where he leads the low power circuit design for next generation quantum computing applications using nano CMOS technology nodes. He has authored or co-authored more than 75 papers, two books and holds 87 US patents. He has served in the technical program committees of various conferences including CICC, RFIC, IMS and has been elected as an IBM master inventor in 2022 for his contributions.

    Host: MHI - ISSS, Hashemi, Chen and Sideris

    More Information: Chaitali Joshi Flyer.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Mon, Nov 06, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

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    Contact: Helen Choi

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

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  • PhD Thesis Proposal - Ali Omrani

    Mon, Nov 06, 2023 @ 11:00 AM - 12:30 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Ali Omrani
     
    Committee Members: : Morteza Dehghani (Chair), Jeffrey Sorensen, Xiang Ren, Robin Jia, Jieyu Zhao, Payam Piray
     
    Title: Countering Problematic Content in Digital Space: Bias Reduction and Dynamic Content Adaptation 
     
    Abstract:  Problematic content, such as hate speech, poses a significant challenge to society, leading to discrimination and exclusion while undermining inclusivity and well-being. This thesis proposal outlines my efforts to create adaptable solutions for combating problematic content in digital space through a theory-motivated approach that bridges language technology and social sciences. I will begin by presenting an innovative group-agnostic method for bias mitigation in language models, which is grounded in a deep understanding of stereotyping from social psychology. Subsequently, I will introduce a novel continual learning framework for problematic content detection that captures the ever-evolving nature of this issue. Afterward, I discuss my strategy to extend this framework to multilingual settings, with a specific emphasis on two key aspects: 1. Harnessing cross-lingual information and 2. Investigating and overcoming the challenges posed by disparities in data quality across various languages.

    Location: Seeley G. Mudd Building (SGM) - 605

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • Apple Engineering Careers in Hardware

    Mon, Nov 06, 2023 @ 11:15 AM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Careers In Hardware and Silicon Engineering at Apple
     
     
    Date: Monday, November 6th, 2023 
     
    Time: 11:15 am to 1:00 pm 
     
    Location: EEB 132    
     
     
    Event Agenda: 
     
    Presentation on “Apple Engineering Careers in HW”
     
    Panel Discussion: Hear from Apple engineers about their education and career journeys  
     
    Ask questions about your path and opportunities at Apple  
     
    Student / Apple 1:1 interaction (Resumes welcome)    
     
    Who will be speaking Panelists: Jay Moon, Dylan Hand, Narayanan Thondugulam    
     
     
    RSVP - Viterbi Career Gateway > Events Desired student majors: ECE, EE, and CS Desired student degree levels: Bs, MS, PhD    
     
     
    Questions? Contact vcareers@usc.edu 
     
    Viterbi Career Connections 
     
    USC Viterbi School of Engineering 
     
    Follow us on Instagram | @viterbicareers  

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • PhD Thesis Proposal - Mozhdeh Gheini

    Tue, Nov 07, 2023 @ 09:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Mozhdeh Gheini
     
    Committee Members: Jonathan May (Chair), Xiang Ren, Xuezhe Ma, Swabha Swayamdipta, Khalil Iskarous
     
    Title: Inductive Biases for Data- and Parameter-Efficient Transfer Learning
     
    Abstract: The widespread success of natural language processing (NLP) models, such as Large Language Models, and the subsequent attention from the public often conceal and distract from the sheer amount of data and computational resources they have relied on to reach this point. The very same models often fail to perform as well in the absence of sufficient data and computational resources. However, how to adjust methods under such constraints remains under-discussed. In this talk, I present work incorporating inductive biases during both pretraining and downstream transfer learning and showcase the boosted performance for machine translation and named entity recognition under resource limitations. Following that, I discuss our work on creating a pretrained model using MEGA, a novel architecture with extensions to Transformers, and our ongoing efforts to investigate MEGA's inductive biases that significantly set it apart from Transformer in low-resource scenarios

    Location: Ronald Tutor Hall of Engineering (RTH) - 306

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://usc.zoom.us/j/6564802162

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  • Agilent Cell Analysis Workshop

    Tue, Nov 07, 2023 @ 10:00 AM - 02:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Workshops & Infosessions


    EVENT DETAILS:Host: Prof. Richard Roberts, USCLocation: MCB 101Time: 10:00 AM- 2:00 PMThis seminar is free. Lunch will be provided. Please click below link to submit your registration before Nov. 3rd (Friday by 5:00 PM) to ensure your lunch order

    More Information: AgilentCellAnalysisWorkshop_7Nov2023.pdf

    Location: 101

    Audiences: Everyone Is Invited

    Contact: Monique Garcia

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  • Agilent Cell Analysis Workshop

    Tue, Nov 07, 2023 @ 10:00 AM - 02:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Workshops & Infosessions


    EVENT DETAILS:Host: Prof. Richard Roberts, USCLocation: MCB 101Time: 10:00 AM- 2:00 PMThis seminar is free. Lunch will be provided. Please click below link to submit your registration before Nov. 3rd (Friday by 5:00 PM) to ensure your lunch order

    More Information: AgilentCellAnalysisWorkshop_7Nov2023.pdf

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: Everyone Is Invited

    Contact: Monique Garcia

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  • PhD Thesis Proposal - Paul Chiou

    Tue, Nov 07, 2023 @ 01:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Paul Chiou
     
    Committee Members: William G.J. Halfond (chair), Nenad Medvidovic, Mukund Raghothaman, Gisele Ragusa, and Chao Wang
     
    Title: Automated Detection of Keyboard Accessibility Issues in Web Applications
     
    Abstract: The internet has become an important part of our daily lives, enabling us to complete everyday and essential tasks online. For the 15% of the global population with disabilities, accessing the internet is critical and can provide access to resources that would otherwise be unavailable. Many people with different disabilities rely on the keyboard interface to access the internet; however, studies found that web applications today largely remain inaccessible to keyboard users. Testing keyboard accessibility is a labor-intensive task currently done manually by skilled practitioners. In this thesis proposal, I propose to use program analysis techniques to automate the keyboard accessibility testing process to alleviate the manual effort involved. I developed a novel approach to automatically detect keyboard accessibility issues that negatively affect disabled users' ability to navigate web pages' user interface. The approach implements a dynamic crawler to build a model that captures a web page's interactivity from a keyboard person's perspective. The approach then analyzes the model to identify the inaccessible behaviors per accessibility guidelines. Finally, I propose to conduct an evaluation to show the approach’s ability to accurately detect these keyboard accessibility issues in real-world web applications

    Location: Social Sciences Building (SOS) - B43

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • ECE Seminar: QMC of everything: A universal algorithm for simulating arbitrary quantum many-body systems

    Tue, Nov 07, 2023 @ 01:00 PM - 02:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Itay Hen, Principal Scientist, USC Viterbi Information Sciences Institute

    Talk Title: QMC of everything: A universal algorithm for simulating arbitrary quantum many-body systems

    Abstract: Gaining insight into the equilibrium properties of quantum many-body systems is essential for advancing our understanding of fundamental physics, materials science, and a wide range of scientific and technological applications. Quantum Monte Carlo (QMC) techniques are, in the majority of cases, the only viable approach to developing a systematic understanding of large-scale quantum systems. However, current QMC schemes have limitations, with a major one being the need to tailor distinct, specific updates to each model to ensure the ergodicity of the stochastic process. In this talk, I will discuss a novel, universal, parameter-free QMC algorithm capable of simulating arbitrarily conceived physical models, including models containing mixtures of particle types and interactions in arbitrary geometries. This work is a collaboration with Lev Barash (ISI) and Arman Babakhani (Physics Dept. and ISI).

    Biography: Itay Hen is a Principal Scientist at Viterbi's Information Sciences Institute, where he leads the computational physics group. He also holds an adjunct appointment as a research associate professor in the Department of Physics and Astronomy. Dr. Hen's main areas of research are quantum computing, specifically quantum simulation algorithms, and computational physics, particularly quantum many-body simulations and optimization. He currently serves as the PI for several quantum computing-related projects sponsored by DARPA, the Department of Energy, and the NSF. Dr. Hen earned his Ph.D. in particle physics from Tel-Aviv University in 2009. He then held a postdoctoral fellowship in theoretical condensed matter at Georgetown University and later completed another postdoctoral fellowship in theoretical condensed matter and quantum computing at UC Santa Cruz in 2012. Before joining USC in 2013, Dr. Hen spent a year as a senior scientist in the Intelligent Systems Division at NASA Ames Research Center as a member of the Quantum Artificial Intelligence Laboratory.

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

    Webcast: https://usc.zoom.us/j/99781295519?pwd=RVFOelJUbVhJS0pPek5RcERpc3RvQT09

    More Information: ECE-Seminar-Hen-110723.pdf

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

    WebCast Link: https://usc.zoom.us/j/99781295519?pwd=RVFOelJUbVhJS0pPek5RcERpc3RvQT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Nov 07, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Esteban Moro , Researcher, Data Scientist -“ MIT Connection Science at IDSS and Associate Professor -“ Universidad Carlos III (UC3M), Spain

    Talk Title: Understanding Urban Social Resilience Through Behavioral Mobility Data

    Host: Dr. Abigail Horn

    More Information: November 7, 2023.pdf

    Location: SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • SERC Seminar

    Tue, Nov 07, 2023 @ 05:00 PM - 06:20 PM

    Astronautical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Justin Walsh , Chapman University

    Talk Title: Human Heritage in Outer Space: Problems and Opportunities

    Abstract: Humans have been sending all kinds of objects -“ from crewed spacecraft to nanosatellites to robotic rovers (and more) - into space for 66 years. Some of those objects have been imbued with significant meaning due to technological developments, historical events, and/or cultural associations, making it possible to include them among the items we consider to be HERITAGE. This lecture will consider the range of items in space that might be called heritage, their legal status (including the possibility of protecting them), and challenges and opportunities for documenting them. Can Tranquility Base be a National Park? How do we balance the preservation of satellites like the Hubble Space Telescope with the need to clean up space debris?

    Biography: Justin Walsh is a professor of art, history, archaeology, and space studies at Chapman University and an Ad Astra Fellow in Space Habitats and Space Anthropology at SERC.

    Host: ASTE Department

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 116

    Audiences: Everyone Is Invited

    Contact: Dell Cuason

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  • Tea and Totes

    Tue, Nov 07, 2023 @ 06:00 PM - 07:00 PM

    USC Viterbi School of Engineering

    Student Activity


    Join us in our second mentorship social! Come meet new people and mingle with our mentorship team. Come get a free tote bag and some boba!!

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=393344

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Nov 08, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    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, Nov 08, 2023 @ 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: Invited Faculty Only

    Contact: Assistant to CS Chair

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  • Riverside County Flood Control and Water Conservation District Information Session

    Wed, Nov 08, 2023 @ 12:00 PM - 02:00 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!
    Zoom Link: https://usc.zoom.us/meeting/register/tJYrc-iqqD8oEtziU-r2qCjTX6B5GK0r3T-H#/registration
     
    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.
     
    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. 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

    Location: Virtual Event

    WebCast Link: https://usc.zoom.us/meeting/register/tJYrc-iqqD8oEtziU-r2qCjTX6B5GK0r3T-H#/registration

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • SoCalGas Trojan Talk

    Wed, Nov 08, 2023 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Trojan Talk with SoCalGas and SDGE - IT Associate and Intern Program
    Date: Wednesday, November 8, 2023
    Time:12pm - 1pm
    Location: Trojan Presentation Room (STU) B3
     
     
    RSVP in connectSC events by clicking the “Attend” button
     
     
    SDG&E and SoCalGas | IT Associate Rotation & Internship Program 
    Information Technology is made up of a variety of departments that help ensure the day-to-day technological success of all SDG&E and SoCalGas operating groups. Associates and interns in IT have the opportunity to work side-by-side with industry experts and utilize leading technologies to help maintain and analyze company software, monitor around the clock for incidents and cybersecurity threats and support our workforce both in-person and remotely across our service territory. 
     
    Internship Program 
    Our summer interns are students who work full-time hours during their 10 to 12-week paid internship. They work closely with associates and industry experts to grow their skills and IT knowledge and they may qualify to join the Associate Rotation Program after graduation. 
     
     
    Associate Rotation Program 
    Our associates are full-time employees with benefits and rotate through three rotation assignments in various departments.  Associates gain on-the-job training and a chance to apply their skills in real-world settings. They also receive career development, support, and guidance.    
     

    Location: Gwynn Wilson Student Union (STU) - Trojan Presentation Room (STU) B3

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Distinguished Lecturer Series: Dr. David Patterson

    Wed, Nov 08, 2023 @ 03:00 PM - 05:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. David Patterson, UC Berkeley Pardee Professor of Computer Science, Emeritus | Vice Chair of the Board of Directors of RISC-V Foundation

    Talk Title: A Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprint

    Abstract: The success of deep neural networks (DNNs) from Machine Learning (ML) has inspired domain specific architectures (DSAs) for them. Google's first-generation DSA offered 50x improvement over conventional architectures for ML inference in 2015. Google next built the first production DSA supercomputer for the much harder problem of training. Subsequent generations greatly improved performance of both phases. We start with ten lessons learned from such efforts.

    The rapid growth of DNNs rightfully raised concerns about their carbon footprint. The second part of the talk identifies the "4Ms" (Model, Machine, Mechanization, Map) that, if optimized, can reduce ML training energy by up to 100x and carbon emissions up to 1000x. By improving the 4Ms, ML held steady at

    Biography: David Patterson is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer, and the RISC-V International Vice-Chair. His most influential Berkeley projects likely were RISC (Reduced Instruction Set Computer) and RAID (Redundant Array of Inexpensive Disks). His best-known book is Computer Architecture: A Quantitative Approach. He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award and the 2022 NAE Charles Stark Draper Prize for Engineering. The Turing Award is often referred to as the "Nobel Prize of Computing" and the Draper Prize is considered a "Nobel Prize of Engineering."

    Host: Drs. Timothy Pinkston, Arash Saifhashemi

    Location: EEB 132

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

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  • AME Seminar

    Wed, Nov 08, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Geno Pawlak, UCSD

    Talk Title: The Coastal Ocean Boundary Layer: Cross-shore structure, bottom roughness and trapped baroclinic waves

    Abstract: In this talk I will describe analysis of the cross shore structure of the coastal ocean boundary layer using velocity measurements from an autonomous underwater vehicle (AUV) along with time series observations of the alongshore pressure gradient.  Ensemble phase averages of the alongshore pressure gradient and velocities from multiple AUV surveys reveal characteristics akin to the Stokes oscillating boundary layer, with the nearshore flow leading the offshore flow in phase and with a corresponding velocity attenuation at shallower depths. Analysis of the alongshore momentum balance allows estimation of the drag coefficient as a function of cross shore distance which compares favorably with roughness from LIDAR and AUV based mapping. Roughness data suggest that larger scales, with wavelengths comparable to the total depth, play a more significant role than smaller meter scale roughness in determining the drag on the tidal flow.  I will also present observations that highlight the role of coastal trapped baroclinic waves in driving barotropic tidal flow on the inner shelf.

    Biography: Before joining the Jacobs School of Engineering, Pawlak served as an associate professor in the Department of Ocean and Resources Engineering at the University of Hawaii at Manoa. Pawlak is a UC San Diego alumnus, having earned his Ph.D. from the Department of Applied Mechanics and Engineering Sciences (now mechanical and aerospace engineering) here in 1997.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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

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  • NL Seminar - Manipulating Large Language Model Predictions Through Data

    Thu, Nov 09, 2023 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Alexander Wan, University of Cal-Berkeley

    Talk Title: Manipulating Large Language Model Predictions Through Data

    Series: NL Seminar

    Abstract: This talk will be a live presentation only, it will not be recorded.
    REMINDER: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are 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 on NL Seminars can be found at: https://nlg.isi.edu/nl-seminar/ 
    Large language models use large amounts of unmoderated data at each stage of the training and deployment pipeline. In this talk, I will show how these lax requirements enable adversaries to manipulate both training and test data, allowing a myriad of possible attacks. First, during training time, I will show that adversaries can modify instruction-tuning datasets to systematically manipulate predictions across a range of tasks or induce degenerate outputs across hundreds of arbitrary tasks, using as few as 100 poison examples. At inference time, additional data is often used in retrieval- or tool-augmented models. Naturally, these models will face information from a wide variety of sources that have varying degrees of quality. Humans are also faced with this same range of sources but can make judgements of trustworthiness based on factors like the style of argumentation or the recency of information. We show that not only do model predictions differ significantly from human credibility judgements, but also that gaps in this judgement creates opportunities for adversaries to manipulate answers to user queries.

    Biography: Alexander Wan is a third-year undergraduate at UC Berkeley majoring in Computer Science, Statistics, and Mathematics. He works closely with folks at the Berkeley NLP Group and the MSU Heterogeneous Learning and Reasoning lab, with a focus on improving the robustness and interpretability of large language models. He's also more broadly interested in the intersection of machine learning and cognitive science: using current ML models to better understand human cognition and building more robust models through cognitively inspired architectures and training.

    Host: Jon May and Justin Cho

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

    Webcast: https://usc.zoom.us/j/95174101995

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

    WebCast Link: https://usc.zoom.us/j/95174101995

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

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

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  • CAIS Webinar: A Carative Approach to AI Governance

    Thu, Nov 09, 2023 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Kush R. Varshney, IBM Research

    Talk Title: A Carative Approach to AI Governance

    Abstract: In recent times, we often hear a call for the governance of AI systems, but what does that really mean? In this talk, I will first adopt a control theory perspective to explain governance that determines the reference input via value alignment, data scientists acting as the controller to meet the values in a machine learning system, and facts captured in transparent documentation as the feedback signal. I will then adopt a nursing theory perspective to explain how the control theory perspective lacks caring and the need for a carative approach that starts with the real world problem as experienced by the most vulnerable people. I will conclude with an example of a project on using machine learning to evaluate applicants for home solar panel systems in rural India.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Kush R. Varshney is a distinguished research scientist and senior manager at IBM Research -“ T. J. Watson Research Center where he leads the Trustworthy Machine Intelligence department and the IBM Science for Social Good initiative

    Register for the Zoom webinar here: https://usc.zoom.us/webinar/register/WN_p39kMQKnTaKdaJRKNox5uQ

    Host: CAIS

    More Info: https://usc.zoom.us/webinar/register/WN_p39kMQKnTaKdaJRKNox5uQ

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://usc.zoom.us/webinar/register/WN_p39kMQKnTaKdaJRKNox5uQ

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  • Civil and Environmental Department Seminar Series

    Thu, Nov 09, 2023 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Babak Moaveni, Tufts University

    Talk Title: Digital Twinning of Offshore Wind Turbines Using Vibration Measurements

    Host: Dr. Audrey Olivier

    More Info: https://usc.zoom.us/j/91558672174

    Location: Zoom Only

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

    Event Link: https://usc.zoom.us/j/91558672174

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  • Civil and Environmental Department Seminar Series

    Thu, Nov 09, 2023 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Babak Moaveni, Tufts University

    Talk Title: Digital Twinning of Offshore Wind Turbines Using Vibration Measurements

    Abstract: See attached abstract

    Host: Dr. Audrey Olivier

    More Info: https://usc.zoom.us/j/91558672174

    More Information: Babak Moaveni Announcement 110923.docx

    Location: Zoom Only

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

    Event Link: https://usc.zoom.us/j/91558672174

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  • DREAM Industry Mentorship speaker series- Special Session

    Thu, Nov 09, 2023 @ 05:00 PM - 07:00 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM (Direct Response to Engineers Aspirations from Mentors) connects students with high profile 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 Kailash Tulsi Gajara, distinguished Viterbi alumnus and Founder @ Atulsia Technologies and Megastores about his remarkable career as a founder, CEO, entrepreneur and leader in the global technology space.          

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

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r393278

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  • Leetcode Jam Night #2

    Thu, Nov 09, 2023 @ 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://engage.usc.edu/VLP/rsvp_boot?id=393490

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  • Intro to CAD & Slicing Software Hands-On Workshop

    Thu, Nov 09, 2023 @ 07:00 PM - 08:00 PM

    USC Viterbi School of Engineering

    Workshops & Infosessions


    Join us for a hands-on on workshop with 3D4E, USC's premier 3D printing club! Get an introduction to CAD and slicing software and try out the 3d printers yourself!

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=393346

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  • Munushian Seminar - Jelena Vuckovic, Friday, November 10th at 10am in EEB 132 & Zoom

    Fri, Nov 10, 2023 @ 10:00 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jelena Vuckovic, Stanford University

    Talk Title: Unlocking the power of photonics through inverse design and heterogeneous integration

    Series: Munushian Visiting Seminar Series

    Abstract: Novel computational techniques such as photonics inverse design, along with new nanofabrication approaches, play a crucial role in building scalable integrated photonics. While initial inverse design demonstrations focused on individual small footprint devices, recent developments enable rapid optimization of large 3-dimensional structures, with linear dimensions over 100 microns, and fully compatible with foundry fabrication. We illustrate this with recent demonstrations of powerful integrated photonic systems for applications such as optical interconnects. To enable all necessary functionalities, future photonic systems also require integration of traditional and non-traditional photonic materials, including silicon, silicon-carbide, diamond, sapphire, and strong electro-optic materials such as lithium niobate, strontium titanate, and barium titanate. We show that compact and efficient lasers, isolators, electro-optic modulators, and detectors can all be integrated on silicon compatible platform. We also show that a broadly tunable Ti:sapphire laser, the workhorse of optics laboratories, can be miniaturized into sub-cubic centimeter volume together with its pump, and without any loss of performance. Finally, we will discuss how silicon carbide and diamond can be employed to build scalable quantum technologies.

    Biography: Jelena Vuckovic (PhD Caltech 2002) is the Jensen Huang Professor in Global Leadership in the School of Engineering, and Professor of Electrical Engineering and by courtesy of Applied Physics at Stanford, where she leads the Nanoscale and Quantum Photonics Lab. She was the inaugural director of Q-FARM, the Stanford-SLAC Quantum Science and Engineering Initiative, and the Fortinet Founders Chair of the Electrical Engineering Department at Stanford. Vuckovic has received many awards and honors including recently the Geoffrey Frew Fellowship from the Australian Academy of Sciences (2023), the Vannevar Bush Faculty Fellowship (2022), the Mildred Dresselhaus Lectureship from MIT (2021), the James Gordon Memorial Speakership from the OSA (2020), the IET A. F. Harvey Engineering Research Prize (2019), Distinguished Scholarship of the Max Planck Institute for Quantum Optics (2019), the Hans Fischer Senior Fellowship from the Institute for Advanced Studies in Munich (2013), and the Humboldt Prize (2010). She is a member of the National Academy of Sciences (NAS), Fellow of the APS, of the Optica, and of the IEEE, and an associate editor of the ACS Photonics.

    Host: ECE-EP

    Webcast: Zoom ID 98662068700 Passcode 538109

    More Information: Jelena Vuckovic Flyer.pdf

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

    WebCast Link: Zoom ID 98662068700 Passcode 538109

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Mon, Nov 13, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

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

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  • ECE Seminar: Filter Banks on Arbitrary Graphs Using Generalized Laplacian Eigenvectors

    Tue, Nov 14, 2023 @ 10:30 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Eduardo Pavez Carvelli, Postdoctoral Research Associate/Ming Hsieh Department of Electrical and Computer Engineering

    Talk Title: Filter Banks on Arbitrary Graphs Using Generalized Laplacian Eigenvectors

    Abstract: In the past decade, Graph Signal Processing (GSP) has become a popular framework to represent and process irregular and unstructured data, such as 3D point clouds arising from immersive communication and autonomous vehicle applications.
     
    In this talk I will present our recent work on two channel filter banks for signals on graphs. Filter banks and other multi-resolution transformations have been extensively used for signal and image processing. Due to graph irregularities it can be challenging to construct filter banks for graphs, while satisfying desirable properties such as critical sampling, perfect reconstruction and low complexity. Bipartite filter banks are amongst the most popular designs satisfying these requirements, yet they are limited to bipartite graphs represented by their normalized Laplacian matrix. In practice graphs are rarely bipartite and other graph matrices are often preferred.
     
    We substantially extend bipartite filter bank theory to arbitrary (non-bipartite) graphs and positive definite graph matrices. Our key insight is realizing the limitations of graph eigenvectors for spectral design of graph filter banks. As an alternative, we propose to use Q-orthogonal generalized eigenvectors of graphs, which can be constructed with certain spectral symmetries that can be exploited for filter bank design. The proposed graph filter banks are applied to graphs constructed on 3D point clouds with hundreds of thousands of nodes.

    Biography: Eduardo Pavez Carvelli received the B.S. and M.Sc. degrees in electrical engineering from the University of Chile, Santiago, Chile, in 2011 and 2013, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California, in 2019. He was an intern at Microsoft Research, and Mitsubishi Electric Research Laboratories, and he is currently a Postdoctoral Research Associate at the University of Southern California. His research is in the areas of graph signal processing, 3D point cloud processing and compression. His work on point cloud and video compression received best paper awards at IEEE ICIP 2020 and 2022.

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

    Webcast: https://usc.zoom.us/j/95889271695?pwd=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09

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

    WebCast Link: https://usc.zoom.us/j/95889271695?pwd=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • ECE Seminar: Reinforcement Learning for Control and Beyond

    Tue, Nov 14, 2023 @ 12:00 PM - 01:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jay H. Lee, C. H. Cho Professor of Mork Family Department of Chemical Engineering and Materials Science University of Southern California

    Talk Title: Reinforcement Learning for Control and Beyond

    Abstract: Since Alan Turing’s remarkable foresight of creating a machine that simulates the “adult brain” starting from the “child mind” through a computer algorithm that educates through rewards and punishments, reinforcement learning (RL) has been at the forefront of many academic fields including psychology, computer science, and control.  With recent advancement of deep learning and GPU-computing as well as well-publicized success stories like the Alpha-Go, it is enjoying a renaissance of popularity and offers opportunities for applications with commercial impacts.  RL and control originated from the different fields but they both address the same basic problem of making sequential decisions in an uncertain, dynamic environment to maximize/minimize a long-term objective function.  In this presentation, similarities and differences between reinforcement learning and optimal control will be brought to attention and some ideas will be shared on how they can be brought to complement and support each other in solving complex industrial decision problems.  Some exemplary applications expected to benefit significantly from the use of RL concepts and methods will be presented, including batch process control, energy planning, and materials design.I will also give a short introduction to other research topics I am currently engaged in, including lithium-ion battery’s state of health prediction and evaluation of CO2 capture, utilization, and storage (CCUS) technologies.

    Biography: Jay H. Lee obtained his B.S. degree in Chemical Engineering from the University of Washington, Seattle, in 1986, and his Ph.D. degree in Chemical Engineering from California Institute of Technology, Pasadena, in 1991.  From 1991 to 1998, he was with the Department of Chemical Engineering at Auburn University, AL, as an Assistant Professor and an Associate Professor.  From 1998-2000, he was with School of Chemical Engineering at Purdue University, West Lafayette, and then with the School of Chemical Engineering at Georgia Institute of Technology, Atlanta from 2000-2010 and Chemical and Biomolecular Engineering Department at Korea Advanced Institute of Science and Technology (KAIST) from 2010-2022, where he was the department head from 2010-2015, Associate VP of International Relations from 2015-2017, KEPCO Chair Professor and the founding Director of Saud Aramco-KAIST CO2 Management Center at KAIST.  He is currently C. H. Cho Chair Professor of Mork Family Department of Chemical Engineering and Materials Science at University of Southern California. He was a recipient of the National Science Foundation’s Young Investigator Award in 1993 and was elected as an IEEE Fellow and an IFAC (International Federation of Automatic Control) Fellow in 2011 and an AIChE Fellow in 2013.  He was also the recipient of the 2013 Computing in Chemical Engineering Award given by the AIChE’s CAST Division and the 2016 Roger Sargent Lecturer at Imperial College, UK.  He is an Editor of Computers and Chemical Engineering and Discover Chemical Engineering. He was currently the Editor-in-Chief of Korean Journal of Chemical Engineering and also the chair of IFAC Coordinating Committee on Process and Power Systems.  He published over 260 manuscripts in SCI journals with ~21000 Google Scholar citations. His research interests are in the areas of system identification, state estimation, robust control, model predictive control, and reinforcement learning with applications to sustainable energy systems, bio-refinery, and CO2 capture/conversion systems.

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

    Webcast: https://usc.zoom.us/j/93773325275?pwd=V3R4aEg1cW9DU1AvT3RCcHArS3RWUT09

    More Information: ECE-Seminar-Lee-111423.pdf

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

    WebCast Link: https://usc.zoom.us/j/93773325275?pwd=V3R4aEg1cW9DU1AvT3RCcHArS3RWUT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • DREAM Industry Mentorship speaker series

    Tue, Nov 14, 2023 @ 12:30 PM - 01:30 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM (Direct Response to Engineers Aspirations from Mentors) connects students with high profile 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 will feature USC Marshall alumni George Jacobs, CEO and founder of venture backed start-up Accelerate, in conversation with Vishal Lugani, VC and founding partner at Acrew Capital, about their journeys through entrepreneurial challenges and the evolving landscape of tech.

    Location: Ronald Tutor Hall of Engineering (RTH) - 105

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r392961

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Nov 14, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Chai Keong Toh, ITS Senior Fellow, Berkeley Institute of Transportation Studies, University of California, Berkeley

    Talk Title: Smart Cities: Design & Research

    Host: Dr. Neil Siegel

    More Information: November 14, 2023.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Nov 15, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

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

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  • AME Seminar

    Wed, Nov 15, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Xiao Hu, Emory University

    Talk Title: Unleashing the Power of AI for Precision Health: The Vital Role of Physiological and Nursing Data

    Abstract: Artificial intelligence (AI) has tremendous potential to advance clinical practice and patient care by providing clinicians augmented abilities to derive diagnostic and prognostic insights from various types of data. Medical images, structured data, clinical notes in electronic health record systems are data modalities that have so far received much attention. In addition to these data modalities in spotlight, continuous physiological data including electrocardiography, blood pressure, intracranial pressure, electroencephalography, photoplethysmography signals are part of standard of care, hence ubiquitously available for patients in acute care, and least susceptible to practice variations. Rich and dynamic pathophysiological information is embedded in these signals and yet there are no experts like radiologists dedicated to interpreting these signals at scale. Therefore, there is a vast amount of untapped information in these signals. In this keynote, we will explore three overarching approaches to process physiological data: The single modality approach, where novel metrics are derived from a single signal, unveiling physiological insights that remain concealed in conventional patient monitors. The multi-signal approach, which analyzes multiple signal modalities to elucidate the intrinsic interplay among different organ systems, providing more precise signatures of acute illnesses. The multimodality approach, which integrates physiological data with other clinical information, enabling enhanced patient monitoring capabilities and more precise care delivery. Bedside nurses play a pivotal role in continuously managing, interpreting, documenting, and communicating physiological data. However, they often face alarm fatigue due to inferior built-in algorithms of patient monitors. By harnessing the power of AI tools to process physiological data, we can alleviate this burden, elevate the nursing profession, and ultimately improve patient care outcomes.

    Biography: Xiao Hu is Asa Griggs Candler Chair Professor at the Nell Hodgson Woodruff School of Nursing, associated faculty at the Departments of Computer Sciences and Biomedical Informatics, and PhD program faculty at the joint Biomedical Engineering program of Georgia Tech and Emory University. He also serves as the Associate Director of the Center for Data Science. In his remarkable career, he has held faculty positions at esteemed institutions like UCLA, UCSF, and Duke University. Dr. Hu's pioneering research lies at the intersection of computational and health sciences, using advanced algorithms to transform healthcare data into actionable patient care insights. His significant contributions include over 160 peer-reviewed publications, multiple NIH research projects, and nine US patents.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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

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  • Trojan Talk: Spectrum

    Wed, Nov 15, 2023 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions




    When: Wednesday, November 15th, 5-6 pm


    Where: Virtual


    Hosted by the USC Career Center: Click here to register.


     
    You are invited to join the Spectrum recruiting team for the virtual Trojan Talk they will be hosting on Wednesday, November 15 from 5-6pm PT.
     
    The recruiting team will provide an overview of Spectrum's Field Operations Rotational program, a full-time position for graduating seniors of Dec 2023 or May 2024 dates.  They will share details of the rotational program as well as answer questions that students may have about their recruitment program.
     
    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. The inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the responsibility of the participant to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu" target="_blank" rel="noreferrer noopener">vcareers@usc.edu

    Location: Virtual

    WebCast Link: https://urldefense.com/v3/__https:/usc-csm.symplicity.com/students/?s=event&ss=is&mode=form&id=c2682051ae3246131aef94b243cc035e__;!!LIr3w8kk_Xxm!vU7HzMbb5wRoqJKA75ebexKZRKINysOkdTazkg0dDVuwUNCQpvPevjMa8Ot3sYPX0xniEaqm7JWMlzIA$

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • NL Seminar- Cultural Knowledge and Cultural Biases: Analyzing the Multilingual Performance of Text-to-Image Models

    Thu, Nov 16, 2023 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Michael Saxon, UCSB

    Talk Title: Cultural Knowledge and Cultural Biases: Analyzing the Multilingual Performance of Text-to-Image Models

    Abstract: REMINDER: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom. 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/ Despite being ostensibly trained on solely English data, most text-to-image (T2I) models carry some degree of multilingual capability, with significant variation in performance between models and languages. To guide the future development of T2I systems, both measuring and qualitatively analyzing these language-specific performance variations is desirable, to mitigate cross-lingual disparities in performance as well as language-specific demographic biases.To quantify multilingual performance we introduce the Conceptual Coverage Across Languages (CoCo-CroLa) benchmark, which allows us to measure the "possession" of a set of tangible noun "concepts" across English, Spanish, German, Chinese, Japanese, Hebrew, and Indonesian. This technique allows us to estimate how well-suited a model is to a target language as well as identify model-specific weaknesses, spurious correlations, and biases without any a-priori assumptions of their form. We demonstrate how it can be used to rank T2I models in terms of multilinguality, and that despite its simplicity our method captures the necessary conditions for the impressive “creative” generative abilities users expect from T2I models.We then build on this benchmarking work with a detailed qualitative analysis of “failure” and “success” cases for specific concepts. Even in the “possession” case, concepts are expressed differently across languages. These qualitative cross-lingual variations in model behaviors form a continuous spectrum of ethical acceptability, running the gamut from culturally variable popular dog breeds to racially-biased sexualization in depictions of women. While the edge cases are easy to laud or condemn, drawing the line of acceptability in between them is an open ethical question as well as an open technical challenge. Unfortunately, interventions that successfully remove the most deleterious biases also erase cultural distinctiveness, motivating a need for more targeted interventions in future work.

    Biography: Michael Saxon is a CS Ph.D. candidate in the NLP Group at the University of California, Santa Barbara. His research is driven by a desire to improve our objective understanding of the semantic capabilities of large generative AI systems, in particular generative image and language models. Toward this goal he focuses on developing novel data resources and metrics for to model semantic phenomena in generative model, as well as techniques for model-driven dataset improvement to remove biases and spurious correlations. He has previously interned at Meta AI and Amazon working on NLP and speech, and is supported by the NSF Graduate Research Fellowship Program.

    Host: Jon May and Justin Cho

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

    Webcast: https://youtu.be/nlu57ZSKbi0

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

    WebCast Link: https://youtu.be/nlu57ZSKbi0

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

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

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  • Trojan Talk: ARUP DEI Virtual Info Session

    Thu, Nov 16, 2023 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Arup is hiring! Join us on Brazen to speak with our Campus Recruiters and Arup representatives apart of our Employee Resource Groups. Learn more about our culture, our commitment to equity, diversity, and inclusion, and hear about current graduate and internship opportunities. Bring your questions!
     


     Time: Thursday, November 16th, 12-2 pm PST


    Location: Virtual on Brazen - Click here to register for this event.


     
    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. The inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the responsibility of the participant to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu" target="_blank" rel="noreferrer noopener">vcareers@usc.edu

    Location: Virtual

    WebCast Link: https://urldefense.com/v3/__https:/app.brazenconnect.com/events/kjBgW?utm_medium=Email*Outreach&utm_source=Email__;Kw!!LIr3w8kk_Xxm!qycfcPMc41Qu3K5paw5g5Nv9ijL9qEDp9JvlTLQJvRZe4meCsl_ci-dJdNZQO8vi759zwQ5fMJNVyblcBwvttQ$

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • PhD Thesis Defense - Iordanis Fostiropoulos

    Thu, Nov 16, 2023 @ 01:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Defense - Iordanis Fostiropoulos
     
    Committee Members: Laurent Itti, Mohammad Soleymani, Stefanos Nikolaidis, Nicolas Schweighofer
     
    Title: Towards Efficient Task Generalization
     
    Abstract: Current practices in Machine Learning (ML) require a model to be trained iteratively on novel examples and tasks. The same model generalizes poorly on previously learned data, where we empirically observe 'Catastrophic Forgetting'. Generalizing across tasks can be trivially solved when there is no restriction on the computational resources. We find that current state-of-the-art fails catastrophically to perform robustly when presented with a large sequence of tasks with large domain gaps. Additionally, simpler methods have improved generalization compared to state-of-the-art methods. While current methods suffer in computational performance. In this talk, we present our work that introduces a framework for efficiently learning a large sequence of tasks by utilizing several experts under strict computational constraints. Last, we discuss future improvements of our method and industrial applications, for example, to self-driving cars

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

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • CAIS Webinar: Sidestepping the Black-Box: A New Paradigm for Explainable AI

    Thu, Nov 16, 2023 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Amulya Yadav, PNC Technologies Career Development Assistant Professor (Penn State University)

    Talk Title: Sidestepping the Black-Box: A New Paradigm for Explainable AI

    Abstract: Existing work in Explainable Artificial Intelligence (XAI) has been focused on developing techniques to interpret decisions made by pre trained and black box machine learning (ML) models. This black box assumption is reasonable in a lot of settings, e.g., explaining Amazons recommender systems requires assuming a black box model because it is infeasible to assume glass box access to Amazons proprietary models, etc. However, I argue that in many real world settings (especially those that pertain to low resource domains), the black box assumption is unnecessary, undesirable, and often, overly limiting. In this talk, I motivate the need to move away from the black box assumption of XAI by discussing two deployed use cases of responsible AI research i. automated tele triage for poor pregnant women in Kenya, and ii. raising awareness of HIV among homeless youth in Los Angeles. Through my experiences with the deployment of AI in these domains, we will argue the need for a new paradigm in explainable AI. Next, I will discuss two new frameworks i. CounterNet, a novel end to end learning framework which integrates Machine Learning (ML) model training and the generation of corresponding counterfactual (CF) explanations into a single end to end pipeline and ii. RoCourseNet, a training framework that jointly optimizes predictions and recourses that are robust to future data shifts.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Amulya Yadav is the PNC Technologies Career Development Assistant Professor in the College of Information Sciences and Technology at Penn State University, where he serves as Director of the RAISE Research Lab. He is also the Associate Director (Programs) at the Center for Socially Responsible AI at Penn State. Amulyas research work in the field of Responsible AI and Artificial Intelligence for Social Good focuses on developing theoretically grounded approaches to real world problems that can have an impact in the field. His algorithms have been deployed in the real world, particularly in the field of public health and wildlife protection. Amulya is a recipient of the AAMAS 2016 Best Student Paper Award, the AAAI 2017 Best Video and Best Student Video Award, the IDEAS 2016 Most Visionary Paper Award, and the AAMAS 2017 Best Paper Award nomination. His work has also been highlighted by Mashable.com as one of 26 incredible innovations that improved the world in 2015.

    Amulya holds a Ph.D. in Computer Science from the University of Southern California, and a B. Tech. in Computer Science and Engineering from Indian Institute of Technology (IIT), Patna.

    Register for the Zoom webinar here: https://usc.zoom.us/webinar/register/WN_nPykyeAAQH-B3R6p5-kezg

    Host: CAIS

    More Info: https://usc.zoom.us/webinar/register/WN_nPykyeAAQH-B3R6p5-kezg

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://usc.zoom.us/webinar/register/WN_nPykyeAAQH-B3R6p5-kezg

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  • Munushian Distinguished Lecture - Eli Yablonovitch, Thursday, Nov. 16th at 2pm in EEB 132

    Thu, Nov 16, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Eli Yablonovitch, EECS - University of California, Berkeley

    Talk Title: Physics does Optimization (for Free); A New Approach Toward Computation

    Series: Munushian Visiting Seminar Series

    Abstract: Optimization is vital to science, engineering, and artificial intelligence. It is usually done digitally, but every physics inequality performs optimization in the normal course of dynamical evolution-for free. In driven systems we have Onsager's principle of minimum heat generation. Physics-based optimization usually relies upon this inequality. Optical Onsager machines can run 10^7 times faster than conventional machines, while consuming far less power.

    Biography: Prof. Yablonovitch introduced the idea that strained semiconductor lasers could have superior performance due to reduced valence band (hole) effective mass. With almost every human interaction with the internet, optical telecommunication occurs by strained semiconductor lasers.
    He is regarded as a Father of the Photonic BandGap concept, and he coined the term "Photonic Crystal". The geometrical structure of the first experimentally realized Photonic bandgap, is sometimes called "Yablonovite".
    In his photovoltaic research, Yablonovitch introduced the 4(n squared) ("Yablonovitch Limit") light-trapping factor that is in worldwide use, for almost all commercial solar panels.
    His mantra that "a great solar cell also needs to be a great LED", is the basis of the world record solar cells: single-junction 29.1% efficiency; dual-junction 31.5%; quadruple-junction 38.8% efficiency; all at 1 sun.
    His cellphone antenna company, Ethertronics Inc., shipped over 2x10^9 antennas.He was also a co-Founder of Luxtera Inc., the pioneer in Silicon Photonics, now part of Cisco.
    He co-Founded Luminescent Inc., the company that originated "Inverse Lithography Technology".

    Host: ECE-Electrophysics

    Webcast: Meeting ID: 96220203431 Pass Code: 949129

    More Information: Eli Yablonovitch Flyer.pdf

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

    WebCast Link: Meeting ID: 96220203431 Pass Code: 949129

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • 2023 Eberhardt Rechtin Keynote Lecture

    Thu, Nov 16, 2023 @ 04:00 PM - 06:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Mark S. Daskin, Clyde W. Johnson Collegiate Professorship, Emeritus; Immediate past Department Chair of the Industrial and Operations Engineering Department at the University of Michigan

    Talk Title: Core Principles of Operations Management

    Host: Epstein ISE Dept.

    More Info: ***Please send email to: owh@usc.edu to RSVP***

    More Information: 2023 Recthin Lecture flyer.jpg

    Location: USC Hotel, Center Ballroom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

    Event Link: ***Please send email to: owh@usc.edu to RSVP***

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  • WIE Meets WII

    Thu, Nov 16, 2023 @ 05:30 PM - 07:30 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    The event was created to help our fellow female engineering students gain perspective on what it is like to work in the industry and get advice on transitioning from college to the workplace. Our theme this year is “If you can Dream it, you can Be it”.

    Filming Notice:
    The University of Southern California is photographing and or video recording the event in which you are participating and or attending. By your presence in this area, you acknowledge that you have been informed that you may be photographed and/or recorded as part of the program/event.
    Feel free to contact tfederic@usc.edu if you have any questions.

    Location: Sign into EngageSC to View Location

    Audiences: Everyone Is Invited

    Contact: Thelma Federico Zaragoza

    Event Link: https://engage.usc.edu/WIE/rsvp?id=393327

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  • Quantum Science & Technology Seminar - Srujan Meesala, Friday, Nov. 17th at 10:30am in EEB 132

    Fri, Nov 17, 2023 @ 10:30 AM - 11:45 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Srujan Meesala, Caltech

    Talk Title: A chip-scale source of entangled microwave and optical photons

    Series: Quantum Science & Technology Seminar Series

    Abstract: Classical supercomputers and the internet are based on optically connected microwave frequency processors. An analogous architecture for large-scale quantum computers and networks would involve entanglement distribution between superconducting microwave processor modules using optical communication links. Connecting quantum particles in these two vastly different platforms while preserving quantum coherence is an outstanding technical challenge. I will present a recent experimental advance where we used a chip-scale transducer to prepare entangled states of single optical and microwave photons. We achieved this through a low-noise parametric down-conversion process in a device with carefully engineered optical, acoustic and superconducting components. This device can enable a room-temperature optical interconnect between superconducting qubits cooled in separate cryogenic nodes in the near term. I will discuss open challenges and opportunities with such devices en route to the long-term vision of a distributed quantum computer.

    Biography: I am an Institute for Quantum Information and Matter (IQIM) Postdoctoral Scholar at Caltech in Oskar Painter's group. Previously, I received my PhD from Harvard where I worked in Marko Loncar's group. I perform experimental research on a variety of solid-state quantum platforms including superconducting circuits, defect center spins, and nanoscale optical and acoustic devices. I am interested in connecting such platforms to address open questions on building large-scale quantum systems for computation, communication and sensing.

    Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk

    More Information: Srujan Meesala Flyer.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Three Minute Thesis Contest for Viterbi Ph.D. Students

    Fri, Nov 17, 2023 @ 12:00 PM - 01:30 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Join us as Ph.D. students compete in Viterbi's second annual Three Minute Thesis contest!  Students will be presenting their research in just three minutes and one slide and competing for Amazon gift cards!   Stop by and vote for your favorite speaker for the People's Choice Award and enjoy some pizza!

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

    Audiences: Everyone Is Invited

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/three-minute-thesis

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  • VLP Grad Student Study & Social

    Fri, Nov 17, 2023 @ 01:00 PM - 05:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Looking for a place to study and snack on a chilly fall Friday? Join the VLP at RTH 222 for an array of treats and a quiet study space to be productive!FREE FOOD. All Graduate students welcome!

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

    Audiences: Graduate

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r393423

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  • Semiconductors & Microelectronics Technology Seminar - Joel K.W. Yang, Friday, November 17th at 1:45pm in EEB 132

    Fri, Nov 17, 2023 @ 01:45 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Joel K.W. Yang, Singapore University of Technology and Design

    Talk Title: Nanoscale 3D Printing of Structural Colors and Micro Optics

    Series: Semiconductors & Microelectronics Technology

    Abstract: Structural colors are generated from nanoscale features of various materials due either to interference or optical resonance effects. The ability to achieve a wide range of colors by simply tuning geometric properties opens fascinating opportunities to the nanoengineer or nanoscientist to design colors using material properties, and nanostructure geometry as input parameters. This physical approach contrasts with the chemical approach for synthesizing pigments and dyes, where colors arise due to optical absorption. Using semiconductor fabrication methods, 2D structures based on metals and high index dielectrics have been realized, e.g. nanodisks, ellipses, etc. defined with electron-beam lithography and vacuum deposition methods. Recently, we extended the generation of structural colors from 3D nanostructures created using two-photon polymerization lithography (TPL). The use of TPL, an additive manufacturing process with sub-micron print resolutions, to produce structures for optical effect is a relatively new endeavor. We have previously shown the fabrication of nanopillars, gratings, mesh-like, and wood-pile photonic crystal structures that appear colorful under white-light illumination. We now demonstrate the integration of these structural colors with other micro-optical elements, such as microlenses and spiral phase plates. Equipped with TPL as a nanoscale 3D printer, structural color geometries are conveniently integrated in a single print run with other user-defined optics. Doing so enables one to produce structured light from incoherent light sources, holographic color prints, and control of the light-field for 3D representation. We will discuss the use of structural colors combined with micro-optics for enhanced information content and optical security.

    Biography: Joel Yang received his Master of Science (2005) and PhD (2009) degrees from the Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science. He is Full Professor (since Aug 2023) in the Engineering Product Development pillar at the Singapore University of Technology and Design (SUTD). He held a joint appointment as Principal Scientist at the Institute of Materials Research and Engineering (IMRE) of A*STAR until 2023. He is recognized for pioneering work in plasmonic and structural color printing, achieving record-level printing resolution at 100,000 dpi and credited for the widely-used "salty-developer" to improve the resolution of electron beam lithography. His research interests include Nanoplasmonics, 2D and 3D printed nano optical design elements (NODE), and sub-10-nm resolution lithography. He serves as Associate Editor of Science Advances. He is Fellow of Optica (former OSA The Optical Society), National Research Foundation (NRF) Investigator (class of 2020), and A*STAR Investigator (2010). His accolades include the Institute of Physics Singapore (IPS) Nanotechnology Medal and Prize, MIT Technology Review TR35 award, and the Singapore Young Scientist Award.

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

    More Information: Joel Yan Flyer_v2.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Integrated Systems Seminar - Mingoo Seok, Friday, Nov. 17th at 2pm in EEB 248 & Zoom

    Fri, Nov 17, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mingoo Seok, Columbia University

    Talk Title: SRAM-based In-Memory Computing Hardware: Analog vs Digital and Macros to

    Series: Integrated Systems

    Abstract: In the last decade, SRAM-based in-memory computing (IMC) hardware has received significant research attention for its massive energy efficiency and performance boost. In this seminar, first, we will introduce two very recent macro prototypes that achieve state-of-the-art performance and energy efficiency yet leverage very different computing mechanisms. Specifically, one adopted analog-mixed-signal (AMC) computing mechanisms (capacitive coupling and charge sharing), whereas the other adopted a fully digital approach. After this macro-level introduction, we will present recent microprocessor prototypes employing IMC-based accelerators, which can perform on-chip inferences at high energy efficiency and low latency.

    Biography: Mingoo Seok is an associate professor of Electrical Engineering at Columbia University. He received his B.S. from Seoul National University, South Korea, in 2005 and his M.S. and Ph.D. degrees from the University of Michigan in 2007 and 2011, respectively, all in electrical engineering. His research interests are various aspects of VLSI circuits and architecture, including ultra-low-power integrated systems, cognitive and machine-learning computing, an adaptive technique for the process, voltage, temperature variations, transistor wear-out, integrated power management circuits, event-driven controls, and hybrid continuous and discrete computing. He won the 2015 NSF CAREER award and the 2019 Qualcomm Faculty Award. He is the technical program committee member for multiple conferences, including the IEEE International Solid-State Circuits Conference (ISSCC). In addition, He has been an IEEE SSCS Distinguished Lecturer for Feb/2023-Feb/2025 and an associate editor for IEEE Transactions on Circuits and Systems Part I (TCAS-I) (2014-2016), IEEE Transactions on VLSI Systems (TVLSI) (2015-present), IEEE Solid-State Circuits Letter (SSCL) (2017-2022), and as a guest associate editor for IEEE Journal of Solid-State Circuits (JSSC) (2019). 

    Host: MHI - ISSS, Hashemi, Chen and Sideris

    Webcast: Zoom Meeting ID: 919 9842 7261, Passcode: 520437

    More Information: Abstract and Bio_Mingoo.pdf

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

    WebCast Link: Zoom Meeting ID: 919 9842 7261, Passcode: 520437

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Mon, Nov 20, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

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

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  • PhD Thesis Proposal (I-Hung Hsu)

    Tue, Nov 21, 2023 @ 02:15 PM - 03:30 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Committee Members:
    Dr. Prem Natarajan (Chair)
    Dr. Nanyun Peng (Co-Chair)
    Dr. Dan O'Leary
    Dr. Emilio Ferrara 
    Dr. Muhao Chen  
    Title: Data-efficient event understanding in natural languages.  
     
    Abstract:
    Many natural languages in the world, such as news or narratives, are composed based on events. By focusing on events, NLP systems can better grasp the plot, infer motivations, consequences, and the dynamics of situations described in text. Despite the rapidly evolving landscape of NLP technology, the challenge of understanding complex events remains significant and usually relies on a large amount of annotated data. In the proposed thesis, we explore and invent algorithms to enhance the efficiency of event understanding in natural languages with minimal data requirements. Many natural languages, such as those found in news or narratives, are structured around events. NLP systems, by concentrating on these events, can more effectively comprehend the narrative, deducing motivations, outcomes, and the dynamics of described situations. Despite rapid advancements in NLP technology nowadays, comprehending complex events remains a formidable challenge, still largely dependent on extensive annotated data. This thesis aims to develop algorithms that enhance the understanding of events in natural languages while minimizing data requirements. We begin by introducing a novel event extraction approach, treating it as a controlled text generation problem. This method leverages indirect supervision from natural language generation to event extraction, facilitating more efficient data learning. We further explore methods to integrate external knowledge into our approach through knowledge-aware prefixes. Finally, we extend our investigation to cross-lingual understanding, broadening the technology's applicability across multiple languages.      

    Location: Ronald Tutor Hall of Engineering (RTH) - 306

    Audiences: Everyone Is Invited

    Contact: CS Events

    Event Link: https://usc.zoom.us/j/6139565235

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Nov 21, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: ,

    Talk Title: **NO SEMINAR - THANKSGIVING BREAK**

    Location: SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • VLP Brain Break

    Tue, Nov 21, 2023 @ 05:00 PM - 07:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Take a Brain Break with the Viterbi Learning Program before finals week! Relax with DIY stress balls, episodes of F.R.I.E.N.D.S., and warm cookies with hot chocolate.Join us for a relaxing couple of hours before you get back to studying!
    RSVP Here: https://cglink.me/2nB/r393835

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

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r393835

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Mon, Nov 27, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

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

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  • CS Teaching Faculty Meeting

    Mon, Nov 27, 2023 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Meeting for invited full-time Computer Science teaching faculty only. Event details emailed directly to attendees.

    Location: Henry Salvatori Computer Science Center (SAL) - 322

    Audiences: Invited Faculty Only

    Contact: Melissa Ochoa

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  • PhD Thesis Defense - Taina Coleman

    Mon, Nov 27, 2023 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Defense - Taina Coleman  
     
    Committee members: Dr. Aiichiro Nakano (chair), Dr. Bhaskar Krishnamachari, and Dr. Rafael Ferreira da Silva, Dr. Jyotirmoy Deshmuhk 
     
    Title: Scientific Workflow Generation and Benchmarking  
     
    Abstract: Scientific workflows are an essential tool in modern scientific computing. They are used to describe complex computational applications that often demand significant computational power, storage capacity, and communication capabilities. As a result, scientific workflows are processed on a wide variety of large-scale platforms, including local clusters, cloud systems, and (exascale) High-Performance Computing (HPC) systems. Addressing the needs of ever-more complex and large contemporary workflow applications requires research and development in Workflow Management Systems (WMS) algorithms, systems,  and user interfaces. The literature in this area is rich but fragmented due to its rapid expansion. This thesis introduces the WfCommons framework, which offers foundational, standardized, general-purpose, and WSM-agnostic tools for analyzing, generating, and benchmarking scientific workflows

    Location: Ronald Tutor Hall of Engineering (RTH) - 306

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • Thesis Proposal (Sasha Volokh)

    Tue, Nov 28, 2023 @ 10:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Thesis Proposal Committee Members:
    William G.J. Halfond (Chair)
    Nenad Medvidovic
    Andrew Nealen
    Mukund Raghothaman
    Chao Wang    
     
    Abstract:
    Modern computer games often release with significant bugs, causing consumer dissatisfaction and a loss of business and reputation for the companies involved. Testing is a key mechanism by which these issues can be caught and addressed during development. A key requirement for thorough manual and automated testing of games is knowledge of the possible player actions and their associated device inputs. In this thesis I propose novel program analysis techniques to inform both automated testing agents and human testers of the possible game actions. First, I propose a symbolic analysis technique that automatically analyzes the user input handling logic present in games to determine a discrete action space, along with the conditions under which the actions are valid, and the device inputs associated with each action. I then demonstrate how this technique can be adapted to enable effective performance in agents that automatically explore game functionalities. Next, I propose adapting this technique for game playing reinforcement learning agents. Finally, I propose methods to automatically generate in-game instructions for human testers based on the outcome of the action analysis.

    Location: Charles Lee Powell Hall (PHE) - 325

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Thesis Proposal (Han Zhang)

    Tue, Nov 28, 2023 @ 12:00 PM - 01:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Thesis Proposal Committee Members:
    Sven Koenig (Chair)
    Satish Kumar Thittamaranahalli
    Lars Lindemann
    Satyandra Kumar Gupta
    Ariel Felner
     
    Title: Speeding-up Multi-Objective Search Algorithms
     
    Abstract: In the Multi-Objective Search problem, given a graph in which each edge is annotated with a cost vector, a start state, and a goal state, a typical task is to compute a Pareto frontier. State-of-the-art multi-objective search algorithms conform to the same best-first algorithmic framework. These algorithms are similar to best-first search algorithms, such as A*, but, most differently, they need to consider multiple nodes (with costs that do not dominate each other) for the same state. Due to the similarity between multi-objective and single-objective search algorithms, I hypothesize that one can speed up multi-objective search algorithms by applying insights gained from single-objective search. More specifically, I propose to speed up multi-objective search algorithms by (1) sacrificing solution optimality, (2) using preprocessing techniques, and (3) using efficient data structures for dominance checks.

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

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • SERC Seminar

    Tue, Nov 28, 2023 @ 01:00 PM - 02:00 PM

    Astronautical Engineering

    Conferences, Lectures, & Seminars


    Speaker: David Miller, NASA-JPL

    Talk Title: If You Cannot Create Space in Your Lab, Create Your Lab in Space

    Abstract: Experimentation is an essential step in maturing technology. Whether it is to measure new phenomena, assess the repeatability and reliability of components, calibrate simulations, determine performance limits, identify operational drivers, or to demonstrate to a decision-maker that the technology works in an operational environment, those experiments must be conducted in an operationally authentic environment. For space, those environments include thermal, radiation, vacuum, lighting conditions, orbital dynamics, the “view,” and long-duration micro-gravity. The first four can be tested to some fidelity in ground-based chambers but the latter three require testing in space.
     
    Analogous to a wind tunnel, testing in long duration micro-gravity allows a formative technology to be tested, under nominal and (more importantly) off-nominal conditions, without harm to the technology, the operator and the platform. This talk will illustrate the use of Shuttle, Mir and the International Space Station as research platforms for maturing space technology whose behavior is dependent upon long duration micro-gravity. This will be done through the lens of three evolvable research facilities that the presenter’s laboratory at MIT developed over the past three decades.

    Biography: David W. Miller is the former Director of the Space Systems Laboratory and the Jerome C. Hunsaker Professor (Post Tenure) in the Department of Aeronautics and Astronautics at M.I.T. Prof. Miller has played an engineering role in the development of space-based apertures.  He has built and operated a dozen space flight experiments spanning Shuttle, Mir, ISS, and free flyers. He was a member of the JWST Product Integrity Team and the Vice Chair and S&T Chair of the Air Force Scientific Advisory Board. He served two and a half years as NASA's Chief Technologist at NASA Headquarters in Washington, DC and three years as Vice President and Chief Technology Officer at the Aerospace Corporation. He is currently the Chief Technologist for the Astronomy and Fundamental Physics Directorate at NASA’s Jet Propulsion Laboratory and an AIAA Fellow and member of the National Academy of Engineering.

    Host: ASTE Department

    Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116

    Audiences: Everyone Is Invited

    Contact: Dell Cuason

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  • VLP Writing Workshop

    Tue, Nov 28, 2023 @ 02:00 PM - 06:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Need help with WRIT 150, WRIT 340, or writing for any other Undergrad 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 2-6PM during this event. Take advantage of the study space and snacks to power through your final essays!
    RSVP Today: https://cglink.me/2nB/r393526

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

    Audiences: Undergrad

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r393526

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  • SERC Seminar

    Tue, Nov 28, 2023 @ 02:00 PM - 03:00 PM

    Astronautical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Charles L. Gustafson, UC Berkeley

    Talk Title: Transformational Communications Satellite, Lessons Learned

    Abstract: The Transformational Communications Satellite Program (TSAT) was an ambitious military program that existed from 2003-2009. It looked to combine existing frequency hopped communications methods with internet protocols and laser communications to provide military users with significant new capabilities. It was ultimately canceled in 2009 prior to fully entering development. This talk will provide an overview of intended capabilities and lessons learned from the program.

    Biography: Charles L. Gustafson is the former Senior Vice President of the Engineering and Technology Group at The Aerospace Corporation, a non-profit consulting company working on government satellite and launch systems. His entire career was spent at Aerospace, during which he worked on a number of communication and remote sensing satellites, launch systems, and intelligence community programs. He served as a member of the Air Force Scientific Advisory Board for four years, including one year overseeing the science and technology review process. He holds a PhD in Electrical Engineering and Computer Science from UC Berkeley.

    Host: ASTE Department

    Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116

    Audiences: Everyone Is Invited

    Contact: Dell Cuason

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  • Thesis Proposal (Hejia Zhang)

    Tue, Nov 28, 2023 @ 03:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Thesis Proposal Committee members: 
    Stefanos Nikolaidis
    C.C.-Jay Kuo
    Jyo Deshmukh
    Jesse Thomason
    Daniel Seita
     
    Title: Understanding, Learning and Planning for Long-horizon Collaborative Manipulation Tasks
     
    Abstract: Robots that assist humans in their daily activities have to perform long-horizon manipulation tasks, such as cooking, table setting tasks, effectively and collaboratively. To successfully perform these tasks,  robots have to address the problem of generating both high-level task action sequences and low-level executable motion trajectories, which is known as the Task-and-Motion Planning (TAMP) problem. In this thesis, we first explore how robots can understand and imitate human collaborative manipulation task plans by watching YouTube videos. We then study the problem of robots executing specified high-level task goals in any unstructured environments. We specifically focus on a subclass of the TAMP problem, namely the Geometric Task-and-Motion Planning (GTAMP) problem. We present a framework that allows robots to perform GTAMP tasks collaboratively. Finally, we discuss the proposed work that will potentially allow robots to collaborate with humans to perform long-horizon collaborative manipulation tasks in the real world.    

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

    Audiences: Everyone Is Invited

    Contact: CS Events

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Nov 28, 2023 @ 03:50 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Paul Grigas, Assistant Professor, Department of Industrial Engineering & Operations Research, University of California, Berkeley

    Talk Title: A Margin Theory for Contextual Stochastic Linear Optimization: From Generalization to Active Learning

    Host: Dr. Meisam Razaviyayn

    More Information: November 28, 2023.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • CS Colloquium: Niloufar Salehi (UC Berkeley) - Designing Reliable Human-AI Interactions

    Tue, Nov 28, 2023 @ 04:00 PM - 05:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Niloufar Salehi, UC Berkeley

    Talk Title: Designing Reliable Human-AI Interactions

    Abstract: How can users trust an AI system that fails in unpredictable ways? Machine learning models, while powerful, can produce unpredictable results. This uncertainty becomes even more pronounced in areas where verification is challenging, such as in machine translation or probabilistic genotyping. Providing users with guidance on when to rely on a system is challenging because models can create a wide range of outputs (e.g. text), error boundaries are highly stochastic, and automated explanations themselves may be incorrect. In this talk, I will focus on the case of health-care communication to share approaches to improving the reliability of ML-based systems by designing actionable strategies for users to gauge reliability and recover from potential errors.
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Niloufar Salehi is an assistant professor in the School of Information at UC, Berkeley and faculty member of Berkeley AI Research (BAIR). Her research interests are in social computing, human-centered AI, and more broadly, human-computer interaction (HCI). Her research is in close collaboration with partners and domain experts spanning education to healthcare to restorative justice. Her work has been published and received awards in premier venues including ACM CHI and CSCW and has been covered in VentureBeat, Wired, and the Guardian. She is a W. T. Grant Foundation scholar. She received her PhD in computer science from Stanford University in 2018.

    Host: Souti Chattopadhyay

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: CS Faculty Affairs

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Nov 29, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

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

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

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

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  • CSCI 591 Colloquium: Prof. Yisen Wang (Peking University) - Theoretical Understanding of Self-Supervised Learning

    Wed, Nov 29, 2023 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Yisen Wang, Peking University

    Talk Title: Theoretical Understanding of Self-Supervised Learning

    Abstract: Self-supervised learning (SSL) is an unsupervised approach for representation learning without relying on human-provided labels. It creates auxiliary tasks on unlabeled input data and learns representations by solving these tasks. SSL has demonstrated great success on various tasks. The existing SSL research mostly focuses on improving the empirical performance without a theoretical foundation. While the proposed SSL approaches are empirically effective on benchmarks, they are not well understood from a theoretical perspective. In this talk, I will introduce a series of our recent work on theoretical understanding of SSL, particularly on contrastive learning and masked autoencoders.     This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Yisen Wang is an assistant professor at Peking University. His research interests include machine learning theory and algorithms, focusing on adversarial robustness, graph learning, and weak/self-supervised learning theory. He has published more than 50 top academic papers in the field of machine learning, including ICML, NeurIPS, ICLR, etc., and many of them have been selected as Oral or Spotlight. He has won the ECML 2021 Best Paper Award.

    Host: Yue Zhao

    More Info: https://usc.zoom.us/j/97892066727?pwd=LytmZmltbDk5aWZtZHdKTjZyclI1QT09

    Location: Ronald Tutor Hall of Engineering (RTH) - 109

    Audiences: Everyone Is Invited

    Contact: Chair's Assistant

    Event Link: https://usc.zoom.us/j/97892066727?pwd=LytmZmltbDk5aWZtZHdKTjZyclI1QT09

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  • Computer Science General Faculty Meeting

    Wed, Nov 29, 2023 @ 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: Invited Faculty Only

    Contact: Assistant to CS Chair

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  • Trojan Talk: Unraveling the Path to Your PhD Journey at TikTok

    Wed, Nov 29, 2023 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Unveiling the Path to Your PhD Journey at TikTok: Join Us for an Exclusive Session!   
     
     
    Desired majors: PhD in Machine Learning, AI, Computer Vision, or a quantitative field such as statistics, economics, political science, physics, information science, or mathematics           
     
     
    When: Wednesday, November 29th, 12-2 pm 
    Where: GFS 106 RSVP on Viterbi Career Gateway > Events -  here!         
     
     
    Join us at the upcoming TikTok Ph.D. Expo, is a groundbreaking event that brings together the brightest minds in the fields of Machine Learning, Artificial Intelligence, Computer Vision, and more. Hosted on your campus, this expo is a unique opportunity for current Ph.D. candidates to engage directly with prolific researchers who have made waves in the industry. Discover the forefront of research and innovation as these distinguished Ph.D. researchers discuss their latest findings and cutting-edge publications. But that is not all – the TikTok Ph.D. Expo opens doors to a realm of possibilities for you to delve into the industry through our internships and full-time positions within our research teams.  Don't miss this exceptional opportunity to engage with leading researchers, explore groundbreaking ideas, and open doors to your future!

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106

    Audiences: All Viterbi Students w/ RSVP

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://shibboleth-viterbi-usc-csm.symplicity.com/sso

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  • AME Seminar

    Wed, Nov 29, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Chinedum (Chi) Okwudire, University of Michigan Ann Arbor

    Talk Title: Smart Additive Manufacturing

    Abstract: There is a lot of excitement about the potential of smart manufacturing (involving the use of information, automation, computation, software, sensing, and networking technologies) to revolutionize the manufacturing industry, e.g., by boosting manufacturing quality and productivity at low cost. An excellent application for such “smart” technologies is additive manufacturing (AM), another area of manufacturing that is gaining a lot of traction but is plagued by quality, productivity and cost issues. In this talk, I will share some of my research results in smart AM, aimed at enhancing AM quality and productivity at low cost using smart technologies. Specifically, I will discuss our work on speeding up 3D printers at low cost using advanced controls and cloud computing. I will also discuss our new research on intelligent optimization of scan sequence to minimize thermal induced defects in laser powder bed fusion AM. Finally, I will give a brief overview of efforts I am leading at the University of Michigan to integrate smart AM into our educational curriculum.

    Biography: Chinedum (Chi) Okwudire is a Professor of Mechanical Engineering and Miller Faculty Scholar at the University of Michigan. His research is focused on exploiting knowledge at the intersection of machine design, control and computing to boost the performance of manufacturing automation systems at low cost. Chi has received a number of awards including the NSF CAREER Award; SME Outstanding Young Manufacturing Engineer Award; and UC Berkeley’s Russell Severance Springer Visiting Professorship. He was recently selected by SME as one of the 25 leaders transforming manufacturing. He has co-authored a number of best-paper-award-winning papers in the areas of manufacturing automation, control and mechatronics.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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

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  • TEAM- Athletes Mindset for Engineers with USC Men's Rowing

    Wed, Nov 29, 2023 @ 04:00 PM - 05:30 PM

    USC Viterbi School of Engineering

    University Calendar


    This event features USC Mens Rowing Coach John Kaitz and team in a panel discussion on building confidence, improving focus, and performing under pressure. 
     
    T.E.A.M. (Teaching Engineers Athletes Mindset) brings engineers and athletes together to promote human excellence across physical and mental domains. Events cultivate high-performance mindset skills such as deep focus, trust, recovery, personal sustainability, and energy management- essential to functioning and thriving in rigorous environments- as well as performance virtues such as confidence, motivation, teamwork, determination, perserverance, courage, and resilience- integral aspects of character development. 

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

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r393704

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  • PhD Thesis Defense - Yunhao Ge

    Thu, Nov 30, 2023 @ 09:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Defense - Yunhao Ge  
     
    Committee Members: Laurent Itti (chair), Yan Liu,  Greg Ver Steeg, Nicolas Schweighofer     
     
    Title: Learning Controllable Data Generation for Scalable Model Training    
     
    Abstract:  As machine learning models grow in complexity and power, the demands on training datasets surge correspondingly, necessitating both greater volume and enhanced quality. Harnessing real data, however, brings to the fore several challenges, including the hefty costs and sluggishness of human annotations—particularly in the fields of vision and robotics. Further obstacles include biases, spurious correlations, privacy concerns, and copyright constraints.In this talk, I will explore the potential of controllable automatic data generators as a solution to these data-related challenges. We will delve into harnessing learning techniques to control different data generation properties, culminating in photorealistic quality and significantly enhancing the training and performance of downstream models. Key insights include: ·  
     
    Methods to learn control over varying attributes, categories, distributions, and physical properties to bolster both 2D and 3D model training. 
     
    The transition of control from humans to downstream models, and how it paves the way for on-demand data generation, forging a symbiotic loop between the data generator and the downstream models.
     
     A look ahead: The promise and challenges of generating intricate 3D and video data, underpinned by vision-language foundation models. We chart the frontier of controllable data generation and explore its vast potential in shaping the future of scalable model training.
     
    Zoom Meeting ID: 222 662 0525

    Location: Hedco Neurosciences Building (HNB) - B15

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://urldefense.com/v3/__https://usc.zoom.us/j/2226620525__;!!LIr3w8kk_Xxm!7LMAWz4bNVcqh3rTNdNUzTTvIPvcuauvaTgibRKRuQQ3EFj0WhFfn6m-Ovz35rpK$

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  • ECE Seminar: Safe Autonomous Systems through Neurosymbolic Reasoning

    Thu, Nov 30, 2023 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jyotirmoy V. Deshmukh, Associate Professor, Thomas Lord Department of Computer Science, USC Viterbi School of Engineering

    Talk Title: Safe Autonomous Systems through Neurosymbolic Reasoning

    Abstract: Huge strides have made in the widespread adoption of autonomous and human-in-the-loop cyber-physical systems (CPS), partly fueled by dramatic improvements in learning-based techniques. An important aspect of many such CPS applications is that they are safety-critical; any undesirable behavior by such systems can cause serious harm to human lives or property. The formal methods community has been an advocate of using logic and automata as specifications for safety-critical CPSs, and the past few decades have seen significant strides in algorithms for their verification, testing, and automated synthesis. A new challenge now is the presence of learning-enabled components (LECs) in CPSs. In this talk, we will review some recent work on using logic and learning-based techniques to provide guarantees for CPS applications using LECs. Such techniques are neurosymbolic in nature; they rely on infusing symbolic knowledge in neural network-based learning algorithms, as well as using symbolic techniques to reason about such neural systems. We will discuss the applicability and scalability of these techniques to real-world systems, discussing some success stories, as well as lay out some of the challenge problems that would need to be solved.

    Biography: Jyotirmoy V. Deshmukh (Jyo) is an Associate Professor in the Department of Computer Science at the University of Southern California, and the co-Director of the Center for Autonomy and AI. Before joining USC, Jyo worked as a Principal Research Engineer at Toyota R&D. He got his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in 2010. He was the 2010-12 Computing Innovation Postdoctoral research Fellow at the University of Pennsylvania. He is the recipient of the 2021 NSF Career Award and the 2021 Amazon Research Award.

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

    Webcast: https://usc.zoom.us/j/93509653910?pwd=QjVaQUhPOWVHVHFibXE3VjRkRXN4dz09

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

    WebCast Link: https://usc.zoom.us/j/93509653910?pwd=QjVaQUhPOWVHVHFibXE3VjRkRXN4dz09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • NL Seminar

    Thu, Nov 30, 2023 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Kawin Ethayarajh, Stanford University

    Talk Title: Machine Learning with Human Fault-Tolerance

    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/ In machine learning, we have long recognized the need to build systems that can tolerate hardware faults and software faults. In this talk, I propose the need for a third kind of fault-tolerance: human fault-tolerance. The methods used to develop, evaluate, and deploy machine learning systems today assume that the humans that build and use them are rational actors making highly-informed decisions based on consistent preferences—this is far from true in practice. We can address the failures of these assumptions by drawing from economics, a field that has long been aware of how unfounded beliefs about human behavior can go wrong. Specifically, I will cover how we can develop theoretically grounded tools that discover human mistakes, design algorithms and methods for robustly eliciting and incorporating human feedback, and implement end-to-end platforms that make ML and NLP more transparent and reproducible. This line of work has led to the creation of datasets, models, and platforms that have been widely adopted by industry giants like Amazon, Google, and Meta.

    Biography: Kawin Ethayarajh is a 5th year PhD student at Stanford University, where he works on bringing human fault-tolerance to machine learning. His research draws from economics to make machine learning and NLP more robust to the irrational, inconsistent, and uninformed human decisions made at every step. His work has been supported by a Facebook Fellowship and an NSERC PGS-D, and he has received an Outstanding Paper Award at ICML 2022. He co-created the Stanford Human Preferences dataset and the Dynaboard platform (behind Dynabench).

    Host: Jon May and Justin Cho

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

    Webcast: https://usc.zoom.us/j/99484520082

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

    WebCast Link: https://usc.zoom.us/j/99484520082

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

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

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  • Quantum Science & Technology Seminar - Chaitali Joshi, Thursday, Nov. 30th at 2pm in EEB 248

    Thu, Nov 30, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Chaitali Joshi, Google, Santa Barbara

    Talk Title: A chiral light-matter interface with superconducting qubits

    Series: Quantum Science & Technology Seminar Series

    Abstract: Noise Improving qubit connectivity in quantum networks is crucial for distributed information processing, and for reducing resource overheads in certain error correction protocols. While superconducting circuits have shown great promise for large-scale quantum processors, controlling the flow of light in complex qubit networks has remained a challenge. In this talk, I will discuss our recent work on realizing nonreciprocal light-matter interactions in the microwave domain using a transmon qubit strongly coupled to a 1D waveguide. By modulating the atom-waveguide coupling using magnetic fields, we gain control over the direction of photon emission from the qubit, with the ratio of forward-to-backward coupling rates exceeding 100. I will discuss applications of this platform, including photon-mediated gates between distant qubits and the preparation of many-body dark states in chiral atom arrays. In the second part, I will discuss our exploratory work on using disordered superconducting materials for nonlinear devices suitable for quantum links operating in the millimeter-wave frequency regime.  Work based on: Phys. Rev. X 13, 021039 (2023), Phys. Rev. Applied 18, 064088 (2022)

    Biography: Chaitali is currently a quantum research scientist at Google Santa Barbara. Previously, she was an IQIM/AWS Postdoctoral scholar in Electrical Engineering at Caltech, where she worked on waveguide quantum electrodynamics with superconducting qubits. She obtained her PhD from Cornell University in 2020, where she worked on nonlinear and integrated photonics for time-frequency manipulation of quantum states of light.

    Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk

    More Information: Chaitali Joshi Flyer.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • VLP Meditation and Mandalas De-stress Event

    Thu, Nov 30, 2023 @ 05:00 PM - 07:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Relax and unwind before the end of the semester and stressful finals with the Viterbi Learning Program (VLP) through light channeling, meditation, coloring mandalas, and hot chocolate! There are special snacks for the attendees :)

    Location: Ronald Tutor Hall of Engineering (RTH) - 206

    Audiences: Everyone Is Invited

    Contact: Alex Bronz

    Event Link: https://cglink.me/2nB/r393852

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