My research develops efficient algorithms for societal-scale problems in electric power networks. At the interface of statistics and optimization, I exploit domain structure—such as power flow physics, spectral graph properties, and communication protocols—to improve scalability and reliability. My broader vision is to treat randomness as a resource to transform how the grid is operated, drawing on tools such as randomized numerical linear algebra.
Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks
Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, and Daniel K. Molzahn
