Ritesh Ojha bio photo

Ritesh Ojha

PhD Student
Georgia Tech
Atlanta, USA

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Bio

I am working as a Research Scientist in the Last Mile Science team at Amazon.

I defended my PhD thesis on Advances in Tactical Planning Decision Problems in Trucking Service Networks. My thesis was supervised by my advisor Dr. Alan Erera at ISyE Georgia Tech.

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

[May 2025] My paper on Outbound Load Planning in Parcel Delivery Service Networks has been accepted in Transportation Science.
[March 2025] My paper on Robust Outbound Load Planning with Volume Splitting for Parcel Carriers has been accepted for presentation at Tristan 2025 and the INFORMS Annual Meeting 2025.
[Jan 2025] My paper on Cross-dock Trailer Scheduling has been accepted in Transportation Science.
[Jan 2024] I presented my work on Exact Algorithms for Large-scale Airline Schedule Design at the Odysseus Conference in May 2024.
[May 2023] I presented my work on Optimization-based learning for Outbound Load Planning Problems in Trucking Service Networks at the INFORMS Annual Meeting 2023.
[May 2023] I was selected as the AY23-24 Leadership Fellow in the Georgia Tech Leadership Fellows Program.
[May 2023] I was awarded the US NSF-sponsored PhD student travel grant to attend the TSL Conference 2023 in Chicago.
[March 2023] I presented my work on Optimization-based Learning for Load Plan Modification in Service Networks at the INFORMS Transportation Science and Logistics (TSL) Conference 2023.
[May 2022] I presented my work on Outbound Tactical Load Plan Modification in Service Networks at the INFORMS Annual Meeting 2022.
[May 2022] I presented my work on Iterative Exact Algorithms for Unrelated Parallel Machine Scheduling at the MIP Workshop 2022.
[Feb 2022] I worked as an Applied Scientist intern in the Amazon Devices Optimization Services team in Summer 2022.