Jun 27 (Mon) @ 9:00am: "Online Optimization and Learning for Sustainable Cyber-Human-Physical Systems," Nathaniel (Nate) Tucker, ECE PhD Defense
This talk presents results related to developing optimization frameworks and machine learning strategies to improve the operation of complex modern societal infrastructure systems in uncertain environments. Namely, 1) leveraging recent advancements in online optimization for system scheduling with applications to electric vehicle (EV) charging and community energy storage (CES) management to maximize social welfare. Additionally, 2) optimizing real-world workplace EV charging in an online fashion for various smart charging objectives. We show the effectiveness of our online EV charging algorithm with real data from tech campuses equipped with EV chargers in the Bay Area.
Nathaniel Tucker is a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Santa Barbara. He received the B.Sc. degree in Electrical Engineering and Computer Science as well as the M.Sc. degree in Electrical Engineering from Santa Clara University in 2016 and 2017, respectively. His research interests include optimization and reinforcement learning for the design, control, and analysis of smart infrastructure systems such as the power grid and transportation systems.
Hosted by: Smart Infrastructure Systems Lab
Submitted by: Nathaniel S Tucker <firstname.lastname@example.org>