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Shuvomoy Das Gupta

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    <p> <br /> <br /> <br /> <br /> <br />  
        <strong>Shuvo Das Gupta</strong>  <br />
                ● Postdoc at <a href="https://ieor.columbia.edu/">Columbia IEOR</a> <br />
        ● Ph.D. from <a href="http://www.mit.edu/">MIT</a> <a href="https://orc.mit.edu/">Operations Research Center</a>, 2024<br />
        ● Incoming  Assistant Professor at <a href="https://cmor.rice.edu/">Rice CMOR</a> (July 2025-)<br />
        ● Email: <a href="mailto:[email protected]"> [email protected]</a><br />
       
       
                
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About Me

I am a Postdoctoral Research Scientist at the Department of Industrial Engineering and Operations Research, Columbia University, hosted by Professor Christian Kroer and Professor Garud Iyengar. I recently obtained my Ph.D. from the Operations Research Center at MIT in May 2024. My research is primarily in optimization—both theory and application—and often both simultaneously.

Update. I will join the Department of Computational Applied Mathematics & Operations Research at Rice University as an Assistant Professor starting July 2025.

News

  • Thrilled to receive an Honorable Mention for our BnB-PEP paper in the 2024 George Nicholson Student Paper Competition!
  • I have received the 2024 INFORMS Computing Society Student Paper Award for the BnB-PEP paper! [citation]

Papers

Awards

  • Winner, INFORMS Computing Society Student Paper Award, 2024 [citation]

  • Honorable Mention, George Nicholson Student Paper Competition, 2024

  • Honorable Mention, MIT Operations Research Center Best Student Paper Award, 2024

Media Coverage

  • Rice Engineering News, October 2024. [Link]
  • Risky Giant Steps Can Solve Optimization Problems Faster by Allison Parshall, Quanta Magazine, August 2023. [Quanta Article]
    • Also publicized in the Chinese magazine 机器之心 (Heart of the Machine), which is a well-known outlet in China for staying updated on advancements in AI, machine learning, data science, and related fields.
    • Also publicized in the Nautilus Magazine on September 5, 2023.

Talks

  • Exterior-point Optimization for Sparse and Low-rank Optimization [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

    • 56th Allerton Conference on Communication, Control, and Computing, October, 2018

Teaching

  • 6.7220: Nonlinear Optimization (Spring, 2023) [Teaching score: 6.9/7]

    • Teaching assistant for a course that aims to provide PhD students with a unified overview of convex optimization.

    • Duties: Assisting students, leading recitations, writing and marking assignments and exams.

    • Pdf of my recitation lectures: [pdf]

  • 15.S60: Computing in Optimization and Statistics (2023) [Teaching score: 7/7]

  • 15.S60: Computing in Optimization and Statistics (2022) [Teaching score 6.8/7]

  • 15.S08: Optimization of Energy Systems (Spring 2022) [Teaching score 6.0/7]

    • Teaching assistant for a course that aims to lead PhD or advanced master students to the forefront of energy system research.
    • Duties: Developing implementations of next generation power system models, assisting students, leading recitations, writing and marking assignments and exams.

Software

Service

  • Reviewer for:

    • Mathematical Programming
    • Transportation Research Part B: Methodological
    • IEEE Transactions on Control of Network Systems
    • American Control Conference
    • IEEE Transactions on Intelligent Transportation Systems
    • IEEE Transactions on Automatic Control
  • Session Chair, INFORMS Annual Meeting, 2022

  • Session Chair, INFORMS Annual Meeting, 2023

PhD Thesis

Advances in Computer-Assisted Design and Analysis of First-Order Optimization Methods and Related Problems [pdf]

MASc Thesis

Optimization Models for Energy-efficient Railway Timetables. [pdf]