Charis Stamouli

I am a Postdoctoral Researcher at the Automatic Control Laboratory at ETH Zürich, hosted by John Lygeros. My research focuses on developing reliable control architectures for autonomous agents interacting with the physical world, drawing on tools from layered control, statistical learning, and multitask policy optimization.

Before joining ETH, I completed my Ph.D. in Electrical and Systems Engineering at the University of Pennsylvania, where I was advised by George Pappas. I received my Diploma in Electrical and Computer Engineering from the National Technical University of Athens.

News

Sep 1, 2026. I joined the Automatic Control Laboratory at ETH Zürich as a Postdoctoral Researcher.

Jul 15, 2026. Our papers Layered Control of Partially Observed Stochastic Systems and Multitask LQG Control: Performance and Generalization Bounds were accepted at the 65th Conference on Decision and Control (CDC), to be held in Honolulu, Hawaii.

Jul 14, 2026. I successfully defended my PhD thesis Learning-Enabled Control: Statistical Foundations and Architectures!

Nov 19, 2025. Check out our new paper Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands that was accepted at the 39th Conference on Neural Information Processing Systems (NeurIPS).

Oct 09, 2025. Our paper Policy Gradient Bounds in Multitask LQR was accepted for publication in IEEE Control Systems Letters (L-CSS).

Jul 16, 2025. Our paper Layered Multirate Control of Constrained Linear Systems was accepted at the 64th Conference on Decision and Control (CDC), to be held in Rio de Janeiro, Brazil.

May 3, 2025. Excited to give an oral presentation on Layered Multirate Control of Constrained Linear Systems at the 2nd Northeast Systems and Control Workshop (NESCW).

Jul 24, 2024. Our paper Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method was accepted at the 63rd Conference on Decision and Control (CDC), to be held in Milan, Italy.

Jul 11, 2024. I am honored to receive the Best Student Paper Award at the 2024 American Control Conference (ACC) for our paper Structural Risk Minimization for Learning Nonlinear Dynamics.

Apr 11, 2024. Check out our new preprint Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method!

Apr 8, 2024. Our paper Structural Risk Minimization for Learning Nonlinear Dynamics is a finalist for the Best Student Paper Award at the 2024 American Control Conference (ACC)!

Mar 28, 2024. Our paper Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees was accepted at the 6th Learning for Dynamics and Control Conference (L4DC), to be held in Oxford, UK.