My research interests lie in the general area of electrical power grid and networked systems. Currently we are interested in developing learning and inference algorithms by leveraging the increasing amount of real-time data in energy and related infrastructure systems. Please see a list of publications in Google Scholar.
Current external funding:
- ARO grant (PI): “Safe Distributed Reinforcement Learning for Large-scale Networks”
- DOE VTO grant (co-PI): “Ruggedized Mobile Fast Charger for Off-Road Vehicles”
- NSF ECCS award (UT PI): “Collaborative Research: Power Systems Dynamics from Real-Time Data: Modeling, Inference, and Stability-Aware Optimization”
- NSF ECCS award (PI): “Learning-Enabled Modeling, Monitoring, and Decision Making for Distribution Grids”
- DOE EPRI GREAT with Data (UT PI): an educational initiative on next-generation digital power systems
Completed projects:
- NSF CAREER award (PI): “CAREER: Cyber-Physical Situational Awareness for the Power Grid Infrastructure”
- NSF SCC-PG award (PI): “SCC-PG: ECET: Empowering Community-centric Electrified Transportation”
- DOE SETO grant (co-PI, with Alex Huang and Surya Santoso): “SOLAr Critical Infrastructure Energization System (SOLACE)”
- NSF ECCS award (PI): “Collaborative Research: Towards Communication-Cognizant Voltage Regulation and Energy Management for Power Distribution Systems”
- DOE CEDS grant (co-PI, with Sibin Mohan): “INGRESS: Integration of Green Renewable Energy Sources Securely with the
Buildings and Electric Power Grids” - DOE ARPA-E grant (co-PI, with Tom Overbye, Anna Scaglione, Zhifang Wang, and Ray Zimmerman), “GridData: Synthetic Data for Power Grid R&D”