Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series

Koji Fukagata, Keio University
Flow control and machine learning studies at Keio Fukagata Lab
Abstract

Nov 21, 2019, 2:00pm; RRB 208, Laufer Library (note room change)

Steven Brunton, University of Washington
Machine learning and sparse optimization for modeling, sensing, and controlling fluid dynamics
Abstract

Nov 18, 2019, 2:00pm; EEB 132

Stephen Boyd, Stanford University
Convex optimization
Abstract

Nov 4, 2019, 2:00pm; EEB 132
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

James Rawlings, University of California, Santa Barbara
Nonlinear optimization-based state estimation: robustness analysis by Q functions
Abstract

Oct 28, 2019, 2:00pm; EEB 132

Behcet Acikmese, University of Washington
Real-time optimization based control for agile autonomy
Abstract

Oct 21, 2019, 2:00pm; EEB 132

Vasileios Christopoulos, University of California, Riverside
The acting and adapting brain: Making decisions and learning to adapt in a dynamic world
Abstract

Oct 14, 2019, 2:00pm; EEB 132

Jin Wang, Auburn University
Process monitoring for smart manufacturing: challenges and opportunities
Abstract

Oct 7, 2019, 2:00pm; EEB 132

Eva Kanso, University of Southern California
Sea star inspired crawling and bouncing
Abstract

Sept 30, 2019, 2:00pm; EEB 132

Mitul Luhar, University of Southern California
Model-based design of active and passive flow control for wall turbulence
Abstract

Sept 23, 2019, 2:00pm; EEB 132

Ariyan Kabir, University of Southern California
Trajectory planning for manipulators performing complex tasks
Abstract

Sept 16, 2019, 2:00pm; EEB 132

Kimon Drakopoulos, University of Southern California
Misinformation in platforms: Persuasion and inundation
Abstract

Sept 9, 2019, 2:00pm; EEB 132