Sriram Sankaranarayanan

Phone:

+91-79-7152 4805

Email:

srirams@iima.ac.in

Website:

https://sites.google.com/view/sriram-sankaranarayanan/

Address:

New Faculty Block, B-17

Prof. Sriram Sankaranarayanan

Production and Quantitative Methods

Sriram Sankaranarayanan is an Assistant Professor at IIM Ahmedabad in the area of Production and Quantitative Methods.


Previously, he was 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 at Johns Hopkins University. He was advised on his PhD by Prof. Sauleh Siddiqui and Prof. Amitabh Basu.


Sriram's research interest lies on solving problems that arise in game-theoretic settings and optimization problems that include integer variables. 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 are of social interest.


He has worked on using tools from optimization to analyse on policies in the energy markets, with a special interest to combat climate change.


Before joining Hopkins, he worked in Deutsche Bank for two years, creating models to back test and to develop strategies to trade Credit Default Swaps and Swaptions.


He is actively looking for collaborations and discussions in both theoretical areas of optimization as well as their application, particularly to combat climate change and for better healthcare management.

 

Educational Qualifications

  • B.Tech(H) from IIT Kharagpur (2013)
  • PhD from Johns Hopkins University (2018)

Academic Affiliation

  • IIM Ahmedabad (From Dec 2020)

Professional Affiliation

 

Teaching

 

Area of Research

 

Current Research

Publications/Articles/Cases

Journal publications

  • (Working Paper) A mixed-integer programming-based framework for dynamically allocating ambulance with an objective to maximize fairness for communities over time. (With Andrea Lodi, Gilles Pesant, Philippe Oliver).
  • (Working Paper) A bilevel model to locate electric vehicle charging stations with power grid integration. (With Vignesh Subramanian, Felipe Feijoo, Kevin Melendez)
  • (Under review) A bargaining model for the Chilean waitlist management in public hospitals. (With Jorge Acuna Melo, Felipe Feijoo, Diego Martinez, Jose Zayas-Castro)
  • (Under review) When Nash meets Stackelberg. (With Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi). Code available - Preprint: arXiv. Short presentation: Video.
  • (Accepted) Optimization-based Systems Modeling for the Food-Energy-Water Nexus. Review paper. In Current Sustainable/Renewable Energy Reports. (With Charalampos Avraam, Ying Zhang, Benjamin Zaitchik, Emma Moynihan, Pratibha Juturu, Roni Neff and Sauleh Siddiqui)
  • A learning-based algorithm to quickly compute good primal solutions for two-stage stochastic integer programs. (With Yoshua Bengio, Emma Frejinger, Andrea Lodi and Rahul Patel) - arXiv. Preliminary version accepted in CPAIOR, 2020. Video (Presented by Rahul Patel).
  • What are the domestic and regional impacts from Ethiopia's policy on the export ban of teff? In Frontiers in Sustainable Food Systems (With Ying Zhang, Jess Carnie, Yalemzewd Nigussie, Befikadu Amphune, Belay Birhanu, Benjamin Zaitchik and Sauleh Siddiqui)​. [pdf]
  • Mixed integer bilevel representability. In Mathematical Programming - Series A (With Amitabh Basu and Christopher Ryan). [pdf]
  • Can cut generating functions be good and efficient? In SIAM Journal on Optimization. (With Amitabh Basu). [pdf][Poster]
  • The future of natural gas infrastructure development in the United States. In Applied Energy. (With Felipe Feijoo, Charalampos Avraam, Gokul Iyer, Marshall Wise, Leon Clarke, Matthew Binstead, Pralit Patel, Natalia Prates, Evelyn Torres-Alfaro and Sauleh Siddiqui). ​[pdf]
  • Sensitivity and covariance in a large scale stochastic complementarity problem for Natural Gas Markets, ​ In European Journal of Operational Research. (With Felipe Feijoo and Sauleh Siddiqui). [pdf]


Book chapters

  • Mathematical models for evolving natural gas markets. In Chialin Chen, Yihsu Chen, Vaidyanathan Jayraman (Eds.), Pursuing Sustainability: OR/MS Applications in sustainable design, manufacturing, logistics and resource management. (With Felipe Feijoo, Charalmpos Avraam and Sauleh Siddiqui)[link to book]

Consulting

 

Awards & Honors

Year Awards & Honors
   

 

Thoughts

 

Staging Enabled