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Research interests
Trustworthy AI
Develop data-driven technology that can be trusted to do the critical work
CPS Security
Protect the critical infrastructure against cyber and physical attacks
Human-centric Technology
Design methods that respect human-centric needs and values
Future Energy Systems
Ensure sustainable and reliable access to power and energy for society
Selected Awards
- Siebel Scholar (class of 2018)
- Best paper award, Building and Environment (2018)
- Best paper runner-up award at MobiQuitous (2016)
- Best paper award at Ubicomm for Mobile Ubiquitous Computing (2015)
News
Oct 2021New paper on implicit RL "Zeroth-Order Implicit Reinforcement Learning for Sequential Decision Making in Distributed Control Systems"
Oct 2021New paper on assured learning of neural networks "Learning Neural Networks under Input-Output Specifications"
Sep 2021New paper on dynamic regret for online optimization "Dynamic Regret Bounds for Online Nonconvex Optimization"
Sep 2021New paper on safe reinforcement learning "Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems" (arXiv)
Sep 2021I will serve as an Associate Editor for IEEE Systems Journal
Jun 2021Thanks C3.ai Digital Transformation Institute for the grant to study RL for resilient power systems (with Prof. Alberto Sangiovanni-Vincentelli and Prof. Bo Li)
Jun 2021New paper on data quality management "A Unified Framework for Task-Driven Data Quality Management" (arXiv)
Jun 2021I received the SCEEE Research Initiation Grant to study safe and resilient AI for networked dynamical systems
May 2021New paper on control by proxy "Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach" (arXiv)
May 2021Paper on safe imitation learning "Imitation Learning with Stability and Safety Guarantees" (arXiv) to appear in IEEE Control Systems Letters
Jan 2021Paper on online nonconvex optimization "Diminishing Regret for Online Nonconvex Optimization" to appear in 2021 American Control Conference
Jan 2021I will teach ECE5984 Special topic: Optimization Theory for ML (spring, 2021)