Time Speaker Presentation title
08:30-08:40 Jorge Cortés
University of California San Diego		 Opening remarks
08:40-09:00 Emiliano Dall'Anese
University of Colorado Boulder		 Overview
09:00-09:30 Gianluca Bianchin
Université catholique de Louvain		 Online Feedback Optimization with Applications to Transportation
09:30-10:00 Karan Singh
Carnegie Mellon University		 Competitive analysis and low regret in online control
10:00-10:45 Coffee break & poster session
10:45-11:15 Na Li
Harvard University		 Model-Free Feedback Constrained Optimization Via Projected Primal-Dual Zeroth-Order Dynamics
11:15-11:45 Frank Allgöwer
University of Stuttgart		 An introduction to data-driven economic model predictive control
11:45-01:30 Lunch break
01:30-02:00 Sarah Dean
Cornell University		 Online Convex Optimization with Unbounded Memory
02:00-02:30 Jan Drgona
Pacific Northwest National Laboratory		 Differentiable Programming for Data-driven Modeling and Control
02:30-03:00 John W. Simpson-Porco
University of Toronto		 Optimal Steady-State Control
03:00-03:15 Coffee break
03:15-03:45 Enrique Mallada
Johns Hopkins University		 Iterative Policy Learning for Constrained RL via Dissipative Gradient Descent-Ascent
03:45-05:00 Contributed talks by students and postdocs
Jing Yu (Caltech) - (Talk + Poster)
Liliaokeawawa Cothren (CU Boulder) - (Talk + Poster)
Paula Gradu (UC Berkeley) - (Talk + Poster)
Alexander Davydov (UC Santa Barbara) - (Talk)
Marko Nonhoff (Leibniz Univ. Hannover) - (Talk + Poster) Kohei Murakami (UC San Diego) - (Poster)
Hancheng Min (Johns Hopkins University) - (Poster)
05:00 Closing remarks