Shuvomoy Das Gupta

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Shuvo Das Gupta
● Assistant Professor, Department of Computational Applied Mathematics & Operations Research
Rice University, Houston, TX
● Email: sd158@rice.edu
[CV]

About Me

I am an assistant professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. My research interests lie at the intersection of optimization, operations research, and computation. I obtained my Ph.D. from the Operations Research Center at MIT in 2024. My work on computer-assisted algorithm design received the 2024 INFORMS Computing Society Student Paper Award and honorable mentions in both the 2024 INFORMS George Nicholson Student Paper Competition and the 2024 MIT Operations Research Center Best Student Paper Competition. My industry collaboration on energy-efficient railway timetabling has been implemented in the largest installed base of communication-based train control systems worldwide.

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

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]