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)