My research interests lie in optimization and machine learning for electrical power grid and networked systems. Please see a list of publications in Google Scholar.
Current external funding:
- DOE/LANL grant (co-PI): Generative Models
- DOE/ASU grant (PI): Electric Infrastructure Requirements and Benefits in Transitioning Critical Industrial Heating Processes
- 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
Completed projects:
- DOE EPRI GREAT with Data (UT PI): an educational initiative on next-generation digital power systems
- 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”