Sriram Sankaranarayanan
Polytechnique Montreal
Sriram Sankaranarayanan is a post-doctoral fellow at the Canada Excellence Research Chair  in Data Science for Real-Time Decision-Making  at Polytechnique Montréal advised by Prof. Andrea Lodi. Before that, he finished his PhD in the Department of Civil Engineering, Johns Hopkins University. He was advised on his PhD by Prof. Sauleh Siddiqui and Prof. Amitabh Basu. Sriram’s research interest lies on achieving global optima efficiently in structured nonconvex optimization. In particular, he has worked on mixed-integer linear programming, complementarity problems and mixed-integer bilevel programming. Apart from proving structural results and developing algorithms to solve these problems, he is also interested in using  these methods for real-life problems which is of social interest.



Journal papers

F. Feijoo, G.C. Iyer, C. Avraam, S.A. Siddiqui, L.E Clarke, S. Sankaranarayanan, M. A. Wise, 2018. The Future of Natural Gas Infrastructure Development in the United States. Applied Energy, 228, 149-166.

S. Sankaranarayanan, F. Feijoo, S. Siddiqui, 2018. Sensitivity and Covariance in Stochastic Complementarity Problems with an Application to North American Natural Gas Markets. European Journal of Operational Research, 268(1), 25-36.

Working papers

A. Basu, C.T. Ryan, S. Sankaranarayanan, 2018. Mixed-Integer Bilevel Representability. 

A. Basu, S. Sankaranarayanan, 2018. Can Cut Generating Functions be Good and Efficient ? SIAM Journal on Optimization.