I am a staff scientist in the Applied Mathematics group at the Los Alamos National Laboratory, and part of the Advanced Network Science Initiative. My research interests lie at the intersection of optimization and machine learning with application in power systems and other infrastructure systems.
PhD in Electrical Engineering and Computer Science, 2014
Massachusetts Institute of Technology
MS in Electrical Engineering and Computer Science, 2011
Massachusetts Institute of Technology
BTech in Electrical Engineering, 2008
Indian Institute of Technology Kanpur
Efficient Learning of Discrete Graphical Models
M. Vuffray, S. Misra, A.Y. Lokhov
ArXiv, 2019, [PDF]
Optimal Structure and Parameter Learning of Ising Models
A.Y. Lokhov, M. Vuffray, S. Misra, M. Chertkov
Science Advances, 2018, [PDF]
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
M. Vuffray, S. Misra, A.Y. Lokhov, M. Chertkov
Advances in Neural Information Processing Systems (NeurIPS), 2016,
[PDF]
Information Theoretic Optimal Learning of Gaussian Graphical Models
S. Misra, M. Vuffray, A.Y. Lokhov
ArXiv, 2019, [PDF]
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets
S. Misra, L. Roald, Y. Ng,
ArXiv, 2019, [PDF]
Statistical learning for DC optimal power flow
Y. Ng, S. Misra, L. Roald, S. Backhaus
Power Systems Computation Conference, 2018, [PDF]
Learning for DC-OPF: Classifying active sets using neural nets
D.Deka, S. Misra
Powertech, 2019, [PDF]
Chance-Constrained AC Optimal Power Flow: A Polynomial Chaos Approach
T. Mühlpfordt, L. Roald, V. Hagenmeyer, T. Faulwasser, S. Misra
ArXiv, 2019, [PDF]
Corrective control to handle forecast uncertainty: A chance constrained optimal power flow
L. Roald, S. Misra, T. Krause, G. Andersson
IEEE Transactions on Power Systems, 2017, [PDF]
Optimal power flow with weighted chance constraints and general policies for generation control
L. Roald, S. Misra, M. Chertkov, G. Andersson
IEEE conference on decision and control (CDC), 2015, [PDF]