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Events for March 02, 2021
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Virtual Networking 101
Tue, Mar 02, 2021 @ 08:00 AM - 08:30 AM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
To access this workshop:
Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.Location: Online
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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CS Colloquium: Leilani Gilpin (MIT CSAIL) - Anomaly Detection Through Explanations
Tue, Mar 02, 2021 @ 09:00 AM - 10:00 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Leilani Gilpin, MIT CSAIL
Talk Title: Anomaly Detection Through Explanations
Series: CS Colloquium
Abstract: Under most conditions, complex systems are imperfect. When errors occur, as they inevitably will, systems need to be able to (1) localize the error and (2) take appropriate action to mitigate the repercussions of that error. In this talk, I present new methodologies for detecting and explaining errors in complex systems.
My novel contribution is a system-wide monitoring architecture, which is composed of introspective, overlapping committees of subsystems.
Each subsystem is encapsulated in a "reasonableness" monitor, an adaptable framework that supplements local decisions with commonsense data and reasonableness rules. This framework is dynamic and introspective: it allows each subsystem to defend its decisions in different contexts: to the committees it participates in and to itself. For reconciling system-wide errors, I developed a comprehensive architecture: "Anomaly Detection through Explanations (ADE)." The ADE architecture contributes an explanation synthesizer that produces an argument tree, which in turn can be traced and queried to determine the support of a decision, and to construct counterfactual explanations. I have applied this methodology to detect incorrect labels in semi-autonomous vehicle data, and to reconcile inconsistencies in simulated, anomalous driving scenarios.
My work has opened up the new area of explanatory anomaly detection, towards a vision in which: complex machines will be articulate by design; dynamic, internal explanations will be part of the design criteria, and system-level explanations will be able to be challenged in an adversarial proceeding.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Leilani H. Gilpin is a research scientist at Sony AI and a collaborating researcher at MIT CSAIL. Her research focuses on enabling opaque autonomous systems to explain themselves for robust decision-making, system debugging, and accountability. Her current work integrates explainability into reinforcement learning for game-playing agents.
She received her PhD in Electrical Engineering and Computer Science from MIT in 2020, and holds an M.S. in Computational and Mathematical Engineering from Stanford University, and a B.S. in Mathematics (with honors), B.S. in Computer Science (with highest honors), and a music minor from UC San Diego. Outside of research, Leilani enjoys swimming, cooking, and rowing.
Host: Yan Liu
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Astani Department of Civil and Environmental Engineering Seminar
Tue, Mar 02, 2021 @ 11:00 AM - 12:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Hadi Meidani, Assistant Professor, University of Illinois at Urbana-Champaign
Talk Title: Scientific Machine Learning for Efficient Computational Design of Engineering Systems
Abstract:
The focus of this talk is on using deep neural networks (DNNs) to approximate the response of engineering systems and facilitate their design and control. DNNs can be trained using supervised learning approaches which require large datasets of input-output samples. In engineering applications, these input-output samples are typically obtained from high-fidelity Finite Element or Finite Difference solvers. In applications where these samples are costly to obtain, supervised learning may be prohibitively slow. In this talk, I will present our recent contributions in this domain, which includes (1) using DNNs to accelerate robust topology optimization via a lower-dimensional representation and (2) developing a PDE-based simulation-free deep learning approach that directly exploit the physical laws in an efficient way.
Biography: Hadi Meidani is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. He earned his Ph.D. in Civil Engineering and his M.S. in Electrical Engineering from the University of Southern California in 2012. Prior to joining UIUC, he was a postdoctoral research associate at USC in (2012-2013) and in the Scientific Computing and Imaging Institute at the University of Utah (2013-2014). He is the recipient of the NSF CAREER Award to study fast computational models for infrastructure systems. His research interests are uncertainty quantification, scientific machine learning, and design under uncertainty.
Host: Dr. Roger Ghanem
Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Undergraduate Advisement Drop-in HoursTue, Mar 02, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/
Location: Online
Audiences: Undergrad
Contact: USC Computer Science
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ISE 651 - Epstein Seminar
Tue, Mar 02, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Meisam Razaviyayn, Assistant Professor, Epstein Dept. of Industrial & Systems Engineering, USC
Talk Title: Does Your Training Data Violate My Privacy? A Near-Optimal Model Discrimination Method With Non-Disclosure
Host: Prof. Jong-Shi Pang
More Information: March 2, 2021.pdf
Location: Online/Zoom
Audiences: Everyone Is Invited
Contact: Grace Owh
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Mork Family Department Spring Virtual Seminars - Ilya Levental
Tue, Mar 02, 2021 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Ilya Levental, University of Virginia
Talk Title: DESIGN PRINCIPLES OF LIVING MEMBRANES
Abstract: ZOOM MEETING INFO:
https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09
Meeting ID: 982 2595 2695 • Passcode: 322435
Host: Wade Zeno
More Info: https://usc.zoom.us/j/98225952695?
Audiences: Everyone Is Invited
Contact: Greta Harrison
Event Link: https://usc.zoom.us/j/98225952695?
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Healthcare Tech Industry Discussion - RSVP
Tue, Mar 02, 2021 @ 05:30 PM - 06:30 PM
Thomas Lord Department of Computer Science
Student Activity
Healthcare Technology and Analytics at USC, will be hosting a speaker event on March 2nd, 2021 at 5:30 PM PST. Ben Nguyen, MD will be speaking about the healthcare technology industry. Dr. Nguyen graduated from the Keck School of Medicine and now works at a health tech company that uses artificial intelligence to improve patient care. He will be sharing about his experience in the industry as well as his insight on where the field is heading.
To RSVP for the event, please use the following Google Form:
https://bit.ly/2NvNECq
A zoom link will be sent out prior to the event to all who RSVP.
HCTA at USC is a new organization at USC seeking to bring together students of all disciplines who are interested in the future of healthcare. If you are interested in learning more about our organization, you can visit our website (https://hctausc.weebly.com/) or fill out this short application (https://forms.gle/J1snLavU53YuEQr29)!
Thank you and we hope to see you all there!
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Healthcare Technology and Analytics at USC
Visit us at: https://hctausc.weebly.com/
Location: Online - Zoom
Audiences: Everyone Is Invited
Contact: HCTA at USC
