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

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

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


Stephen Boyd, Stanford University
Convex optimization

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

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


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

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

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


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

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


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

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

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


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

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


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

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