My research focuses on learning, control, and optimization methods with applications to cyber-physical human systems such as smart buildings, smart grids, and urban systems. See see my publications.
Paper to appear in Proc. 58th IEEE Conference on Decision and Control "Towards Robust and Scalable Power System State Estimation".May 2019
New paper on robust graph convolutional network "Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering".Feb 2019
New paper on power system state estimation "Scalable and robust state estimation from abundant but untrusted data".Oct 2018
New paper on stability certfied reinforcement learning "Stability-certified reinforcement learning: a control-theoretic perspective".Aug 2018
Presentations at the International Conference on Applied Energy: "BISCUIT: Building Intelligent System Customer Investment Tools" (paper | slides) and "Advanced Building Control via Deep Reinforcement Learning" (paper).Jul 2018
Presentation at the 23rd International Symposium on Mathematical Programming, Bordeaux, France: "Vulnerability analysis and robustification of power grid state estimation" (slides).Jun 2018
New paper on power system vulnerability analysis "Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks" accepted in IEEE Transactions on Automatic Control.Mar 2018
New paper to guarantee safety of smooth RL in real-world systems like power grids: "Control-theoretic analysis of smoothness for stability-certified reinforcement learning."Mar 2018
New paper on observer design for large-scale nonlinear systems: "Multiplier-based observer design for large-scale Lipschitz systems."