Publications

Manuscripts under Preparation

  • Bagchi, D., Agarwal, P., Rambha T., and Pandey V. (2024). A Bi-criterion Steiner Traveling Salesman Problem with Time-Windows for Last-Mile Electric Vehicle Logistics

Refereed Conference Presentations

  1. Bagchi, D. and Boyles S. (2024). Error Bounds for Stochastic User Equilibrium Traffic Assignment. In The Institute for Operations Research and the Management Sciences Annual Meeting, Seattle, USA (INFORMS 2024).

  2. Bathgate, K., Bagchi, D., and Boyles S. (2024). Identifying capacities in a multimodal maritime freight network. In The Institute for Operations Research and the Management Sciences Annual Meeting, Seattle, USA (INFORMS 2024).

  3. Bagchi, D., Agarwal, P., Rambha T., and Pandey V. (2022). A Local Search Heuristic for Bi-Criterion Steiner Traveling Salesman Problem. In The Institute for Operations Research and the Management Sciences Annual Meeting, Indianapolis, USA (INFORMS 2022).

  4. Bagchi, D., Agarwal, P., Rambha T., and Pandey V. (2022). A Local Search Heuristic for Bi-Criterion Steiner Traveling Salesman Problem. In Transportation Research Board Annual Meeting, Washington, USA (TRB 2022).

Course Project Reports / Proposals

  • Speeding up the Frank Wolfe Algorithm — Implementation Changes, Contraction Hierarchies and Bi-conjugate Direction, Debojjal Bagchi, 2023 Summary

  • A k-best Link Tolling Scheme, 2023 Report, Presentation (Collaborators: Debojjal Bagchi, Keya Li, and Qianqian Tong)

  • Fair and Efficient Allocation of Indivisible Public Good – Paper Review and Future Directions, Debojjal Bagchi, 2023 Summary, Report, Presentation

  • Literature Review and Project Proposal on Horizontal Collaboration between Dial-a-ride Services, Debojjal Bagchi, 2023 Proposal

  • Greenhouse Gas Emission from Transportation at IISc, Bengaluru, Debojjal Bagchi, 2022 Report

  • Comparison between Label Correcting & Label Setting Algorithms for Method of Successive Averages, Debojjal Bagchi, 2022 Report

Presentations

Repositories

Interactive Python Notebooks

  • IBM Employee Attrition in the Dawn of Recession due to COVID-19 (PDF, IPynb Notebook)

  • Student Grade Prediction using Random Forest Classifier (Presentation, IPynb Notebook) (Collaborators: Barnopriyo Dutta, Tsungrojungla Walling)