Adaptive topology control in power systems using reinforcement learning and spectral clustering.
Developing novel sampling methods, with applications to rare event sampling and stochastic optimization.
Unveiling how correlated noise and coupled network dynamics can increase the likelihood of rare events, such as blackouts in power systems with a large renewable penetration
Quantifying throughput and delay performance of wireless networks protocols using Markov chains and heavy-traffic limits.