Shuvomoy Das Gupta
Shuvomoy Das Gupta
Ph.D. Student
Operations Research Center
Massachusetts Institute of Technology
Email: sdgupta@mit.edu
Google Scholar
About Me
Hello world! I am a second year Ph.D. student at the Operations Research Center at MIT, advised by Professor Bart Van Parys.
I obtained my M.A.Sc. (GPA 4.00/4.00) from the ECE Department, University of Toronto in 2016. After that, I worked as a researcher at the Research & Technology Department of Thales Canada for more than two and a half years. My M.A.Sc. research work on optimization models to compute energy-efficient railway timetables has been integrated with the largest installed base of communication based train control systems worldwide. Previously, I obtained my B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology.
Preprint
Shuvomoy Das Gupta, Bartolomeo Stellato, and Bart Van Parys, “Exterior-point Operator Splitting for Nonconvex Learning”, 2020. [pdf] [NExOS.jl Julia package] [INFORMS 2020 Presentation]
Peer-reviewed Papers
Shuvomoy Das Gupta and Lacra Pavel, “On seeking efficient Pareto optimal points in multi-player minimum cost flow problems with application to transportation systems”, in the Journal of Global Optimization 74 (2019): 523-548. [pdf] [presentation]
Shuvomoy Das Gupta, “On Convergence of Heuristics Based on Douglas-Rachford Splitting and ADMM to Minimize Convex Functions over Nonconvex Sets”, in the proceedings of the 56th Allerton Conference on Communication, Control, and Computing, University of Illinois at Urbana-Champaign, IL, USA, October 2018. [pdf] [presentation]
Shuvomoy Das Gupta and Lacra Pavel, “Multi-player minimum cost flow problems with nonconvex costs and integer flows”, in the proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, December 12-14, 2016. [pdf] [longer version with proofs] [presentation]
Shuvomoy Das Gupta, J. Kevin Tobin, and Lacra Pavel, “A two-step linear programming model for energy-efficient timetables in metro railway networks”, in Transportation Research Part B: Methodological 93 (2016): 57–74. [pdf]
Shuvomoy Das Gupta, Lacra Pavel, and J. Kevin Tobin, “An Optimization Model to Utilize Regenerative Braking Energy in a Railway Network”, in the proceedings of 2015 American Control Conference (ACC), Chicago, IL, USA, July 2015. [pdf] [longer version with proofs] [presentation]
Talks
NExOS.jlfor Nonconvex Exterior-point Operator Splitting [Youtube video]Exterior-point Operator Splitting for Nonconvex Learning [Slides]
Seoul National University, November 17, 2020 (talk given to Professor Ernest Ryu's research group)
INFORMS Annual Meeting, November 10, 2020
MIT LIDS student conference, January 2021
On seeking efficient Pareto optimal points in multi-player minimum cost flow problems [Slides]
MIT LIDS student conference, January 2020
On Convergence of Heuristics Based on Douglas-Rachford Splitting and ADMM to Minimize Convex Functions over Nonconvex Sets [Slides]
Allerton Conference on Communication, Control, and Computing, October 2018
Multi-player minimum cost flow problems with nonconvex costs and integer flows [Slides]
IEEE Conference on Decision and Control, December 2016
An Optimization Model to Utilize Regenerative Braking Energy in a Railway Network [Slides]
American Control Conference, July 2015
Teaching
Optimization Methods (Fall 2020)
Teaching assistant for a course that aims to provide masters students with a unified overview of the main algorithms and areas of application in optimization.
Duties: Assisting students, leading recitations, writing and marking assignments and exams.
Software
NExOS.jl[github repo]
MASc Thesis
Optimization Models for Energy-efficient Railway Timetables. (Grade: A+) [pdf] [html presentation]