Research Areas
We focus on frontier scientific questions and engineering challenges, advancing theoretical innovation and technical breakthroughs through research-driven impact.
Artificial Intelligence
We study large language models, deep learning, and reinforcement learning for complex decision-making, intelligent optimization, and data-driven modeling in research and engineering settings.
Power and Energy Systems
We study the operation, optimization, and security analysis of modern power and energy systems, connecting data intelligence with engineering methods for dispatch, sensing, and energy coordination.
Optimization Decision-Making
We study optimization decision-making, approximation algorithms, and scalable solvers for discrete decisions such as scheduling, assignment, and routing, with a focus on provable guarantees and data-driven heuristics under complex constraints.