Bio
As a Ph.D. student in Operations Research in the Department of Industrial and Systems Engineering at Georgia Tech, I am pushing the research boundary in terms of theory and practice in the area of logistics and supply chain. My thesis centers on the development of efficient exact and heuristic algorithms for planning and scheduling problems arising in trucking and airline service networks.
Working with Dr. Alan Erera and Dr. Pascal Van Hentenryck under the Artificial Intelligence Institute for Advances in Optimization (AI4OPT) program, I am currently leading efforts in conducting cutting-edge research to solve large-scale inbound-outbound tactical load planning problems using machine learning and optimization.
I completed my undergraduate degree from the Indian Institute of Technology Kharagpur, with a B.Tech in Industrial and Systems Engineering. My undergraduate thesis was based on Risk Propagation in Supply Chain Networks under the supervision of Dr. M. K. Tiwari. Next, I worked as an Operations Research consultant at TCG Digital, Kolkata.
News
| [Jan 2024] | I will be presenting my work on Exact Algorithms for Large-scale Airline Schedule Design at the Odysseus Conference in May 2024 |
| [May 2023] | I will be presenting my work on Optimization-based learning for Dynamic Load Planning Problems in Trucking Service Networks at the INFORMS Annual Meeting 2023 |
| [May 2023] | I have been selected as the AY23-24 Leadership Fellow in the Georgia Tech Leadership Fellows Program |
| [May 2023] | I have been awarded the US NSF sponsored PhD student travel grant to attend the TSL Conference 2023 in Chicago |
| [March 2023] | I will be presenting my work on Optimization-based Learning for Load Plan Modification in Service Networks at INFORMS Transportation Science and Logistics (TSL) Conference 2023 |
| [May 2022] | I will be presenting my work on Outbound Tactical Load Plan Modification in Service Networks at INFORMS Annual Meeting 2022 |
| [May 2022] | I will be presenting my work on Iterative Exact Algorithms for Unrelated Parallel Machine Scheduling at MIP Workshop 2022 |
| [Feb 2022] | I will be working as an Applied Scientist intern in the Amazon Devices Optimization Services team in Summer 2022 |