Seminar: Prof. Behrouz Touri from University of California San Diego

Dreese Rm. 260
United States



Seminar: Prof. Behrouz Touri from the University of California San Diego

Title: Infinite flow theory and its debut to distributed optimization
Abstract: This talk is about averaging dynamics and its main application, i.e., solving distributed optimization problems. We provide the infinite flow theory framework for the study of the averaging dynamics and discuss some of the recent developments on this topic. We then turn into distributed optimization with imperfect sharing of information. In particular, a two-time scale dynamics/algorithm for solving such problems will be discussed. We show how the working of this algorithm is tied to the infinite flow theory.

Bio: Behrouz Touri is an Associate Professor of the Electrical and Computer Engineering at the University of California San Diego. He received his B.Sc. degree in Electrical Engineering from the Isfahan University of Technology, Isfahan, Iran in 2006, his M.Sc. degree in Communications, Systems, Electronics from Jacobs University, Bremen, Germany in 2008, and his Ph.D. degree in Industrial Engineering from the University of Illinois at Urbana-Champaign in 2011. Between 2011 and 2014, he was a postdoctoral researcher with the ECE departments of the University of Illinois and Georgia Institute of Technology, respectively. From 2014 to 2017, and 2017 to 2021, he was an Assistant Professor of Electrical Engineering at the University of Colorado Boulder and UCSD, respectively. His research interests include applied probability theory, distributed optimization, control and estimation, population dynamics, and evolutionary game theory. He was the recipient of the American Control Council’s Donald P. Eckman Award in 2018.