Our research focuses on tackling grand challenges in power energy systems and the Internet of Things by using advanced optimization and game theory techniques.
Research Domains: Operations Research, Smart Grid, Power System Economics, Renewable Energy Integration, Energy Policies, Edge/Fog Computing, and Electric Machines.
Research methods: Mathematical Modeling, Optimization, Game Theory, Agent-based Modeling, Control Theory, Machine Learning, Economic Theory, and Testbed Implementation.
Research interests:
Energy and environmental policies for decarbonized grids and transportation electrification
Power system resilience against natural disasters and cyber-physical attacks
Network optimization for edge/fog computing using stochastic/robust optimization
Integrated Transmission and Distribution (ITD) systems with grid edge resources
Active distribution network and demand-side management
Intelligent control and state estimation algorithms for sensorless electric drives (Past)