Events for the 5th week of October
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Photonics Seminar Series
Tue, Oct 26, 2021 @ 01:30 PM - 02:31 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Mark Haynes, NASA-Jet Propulsion Laboratory
Talk Title: Waveport Scattering Library
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Webcast: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09More Information: Photonics Seminar _Mark Haynes 10-26-21.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 27, 2021 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Xenofon Koutsoukos, Department of Computer Science at Vanderbilt University
Talk Title: Resilient Distributed Consensus, Optimization, and Learning in Networked Cyber-Physical Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Distributed consensus, optimization, and learning algorithms are increasingly used in networked cyber-physical systems but they are prone to Byzantine attacks. In this talk, we will present distributed algorithms for resilient aggregation in high-dimensional problems. The first approach is based on the notion of centerpoint, which is an extension of the median in higher dimensions. Centerpoint is used in a resilient distributed stochastic gradient descent algorithm in a cooperative network and evaluated using examples of target pursuit in multi-robot systems. The second approach is based on adaptive weight assignment and is used for resilient distributed multi-task learning and distributed reinforcement learning. Our results show better learning performance than the non-cooperative case and resilience in the presence of Byzantine agents.
Biography: Xenofon Koutsoukos is the Chair of the Department of Computer Science at Vanderbilt University. He is a Professor of Computer Science, Computer Engineering, and Electrical Engineering and a Senior Research Scientist with the Institute for Software Integrated Systems. His research is in the area of cyber-physical systems with emphasis on learning-enabled systems, security and resilience, control and decision-making, diagnosis and fault tolerance, formal methods, and adaptive resource management. Prof. Koutsoukos was the recipient of the NSF Career Award in 2004, the Excellence in Teaching Award in 2009 from the Vanderbilt University School of Engineering, and the 2011 NASA Aeronautics Research Mission Directorate (ARMD) Associate Administrator (AA) Award in Technology and Innovation. He is a Fellow of the IEEE.
Host: Hosts: Pierluigi Nuzzo and Paul Bogdan
Webcast: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQ
Audiences: Everyone Is Invited
Contact: Talyia White
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Oct 29, 2021 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joe Bardin, Professor, University of Massachusetts Amherst / Research Scientist, Google Quantum AI
Talk Title: CMOS and BiCMOS Integrated Circuits for Superconducting Quantum Computing
Host: Mike Chen, Hossein Hashemi, Manuel Monge, Constantine Sideris
More Information: MHI IS Seminar - Joe Bardin_Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Jenny Lin