Akul Bansal
Ph.D. candidate in Optimization at Northwestern University
- Role
- Graduate Intern at Los Alamos National Laboratory
- Location
- Evanston, IL, US
- LinkedIn followers
- 500 followers
About Akul Bansal
Passionate about developing algorithms to find data-driven solutions to industry problems. Experience with a breadth of optimization tools including linear and integer programming, heuristics, machine learning, and simulation. Research outcomes include a 60% improvement in the quality of food and services at a university dining hall, stronger formulations for solving hop-constrained shortest path problem, and timely deliveries in a vehicle routing problem for a freight company.
Experience
Graduate Intern
Los Alamos National Laboratory
Sep 2024 — Present · Los Alamos, NM, US
Ongoing work in developing decomposition algorithms to solve a special class of mixed-integer, non-linear, non-convex optimization problems with bi-level structure. These problems have applications in the planning and operation of critical infrastructure networks, such as power and water distribution networks.
Education
Indian Institute of Technology, Bombay
Master's degree, Operations Research
2017 — 2020
Delhi University
Kirori Mal College; Bachelor's degree, Mathematics
2014 — 2017
Northwestern University
Doctor of Philosophy - PhD, Industrial Engineering and Management Sciences
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