Akshit Kumar

I am final year PhD student in the Decision, Risk and Operations division at Columbia Business School, where I am fortunate to be advised by Prof. Omar Besbes and Prof. Yash Kanoria. My current research interests are resource allocation, design and analysis of marketplaces and recommendation systems. In Summer of 2023, I had the opportunity of interning in the supply chain optimization group at Amazon where I worked on multi-objective optimization for order fulfillment problems.

Previously, I completed my Masters in Electrical Engineering from University of Michigan where I had the good fortune of working with Prof. Vijay Subramanian on theoretical reinforcement learning and stochastic control. Before that, I graduated with a B.Tech (Hons.) in Electrical Engineering from Indian Institute of Technology, Madras. I have been fortunate to work with an amazing set of advisors under my undergraduate studies. I completed my bachelors thesis with Prof. Rahul Vaze at Tata Institute of Fundamental Research. I also interned at Microsoft Research India, where I was mentored by Dr. Ranveer Chandra and Dr. Manohar Swaminathan.

News

Journal Publications

Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances
Omar Besbes, Yash Kanoria, Akshit Kumar
Forthcoming in Operations Research
Finalist, 2023 INFORMS George Nicholson Student Paper Competition
Finalist, 2023 Jeff McGill RMP Best Student Paper Prize
An earlier version of this paper appeared as an extended abstract in the Proceedings of the 23rd ACM Conference on Economics and Computation, EC'22 with the title The Multi-secretary Problem with Many Types
arXiv|slides| poster

Conference Publications

Feature-Based Dynamic Matching
Yilun Chen, Yash Kanoria, Akshit Kumar, Wenxin Zhang
EC 2023 | ACM Conference on Economics and Computation
ssrn| slides|poster|nick arnosti's blog post

Breaking the Unit Throughput Barrier in Random Access Protocol Based Distributed Systems
Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, C├ędric Adjih
NCC 2023 | National Conference on Communications
ieee| arXiv

The Multi-secretary Problem with Many Types
Omar Besbes, Yash Kanoria, Akshit Kumar
EC 2022 | ACM Conference on Economics and Computation
arXiv | flash talk| 20 min talk |slides | poster

Low-cost aerial imaging for small holder farmers
Aditya Jain, Zerina Kapetanovic, Akshit Kumar, Vasuki Narasimha Swamy, Rohit Patil, Deepak Vasisht, Rahul Sharma, Manohar Swaminathan, Ranveer Chandra, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Uttama Nambi SN
COMPASS'19 | ACM SIGCAS Conference on Computing and Sustainable Societies
Best Paper Award

Speed scaling under QoS constraints with finite buffer
Parikshit Hegde, Akshit Kumar, Rahul Vaze
WiOpt'18 | International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks

IIT Madras
2014 - 2018
Microsoft Research India
Summer 2016
STCS, TIFR
Summer 2017
Nokia Bell Labs
Summer 2018
University of Michigan
2018 - 2020
Columbia University
2020 - Present
Amazon
Summer 2023