research

My current research projects are in the following areas:

1. Monitoring and estimation in power grids
   Development of learning and inference methods that integrate power system physics with statistical machine learning to enable reliable topology and state estimation, as well as fault detection.

2. Machine learning–augmented optimization of power systems
   Development of surrogate models, including deep neural networks and Gaussian processes, to enable computationally efficient and feasible solutions for optimal power flow problems.

3. Integration of datacenters in power system operations
   Modeling, planning, and operation of data centers to support grid reliability while respecting workload constraints and infrastructure limits.

4. Coordination of flexible resources at grid edge
   Development of scalable coordination algorithms for distributed energy resources, including storage and responsive loads, under operational and user-level constraints.