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.
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."Jan 2018
We are organizing an international workshop on "AI for energy-cyber-physical systems" as part of the International Conference on Applied Energy (ICAE 2018). See here the CFP!Dec 2017
I have finished my PhD thesis: Data-efficient Analytics for Optimal Human-Cyber-Physical Systems.Nov 2017
Centerline has reported our IEQ Bot in its November issue: "CBE Panel Session Explores Innovative Methods for Monitoring Indoor Environments".