Select a calendar:
Filter November Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for the 3rd week of November
-
Communications Hub: Writing and Speaking for PhD Students - Drop In HoursMon, 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
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
-
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=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/95889271695?pwd=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
-
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=V3R4aEg1cW9DU1AvT3RCcHArS3RWUT09More 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
-
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
-
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
-
Communications 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
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
-
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=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09Location: 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/
-
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.eduLocation: Virtual
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
-
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/nlu57ZSKbi0Location: 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/
-
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.eduLocation: Virtual
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
-
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 carsLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Melissa Ochoa
-
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
-
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: 949129More 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
-
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***
-
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 âIf you can Dream it, you can Be itâ.
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
-
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
-
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
-
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
-
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
-
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: 520437More 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
