Akshit Kumar

I am fourth 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 dynamic resource allocation and sequential decision making under uncertainty. 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 advised by Dr. Ranveer Chandra and Dr. Manohar Swaminathan.

Working Papers

Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances
Omar Besbes, Yash Kanoria, Akshit Kumar
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
pdf| abstract

Feature-Based Dynamic Matching
Yilun Chen, Yash Kanoria, Akshit Kumar, Wenxin Zhang
Appeared as an extended abstract in the Proceedings of the 24th ACM Conference on Economics and Computation, EC'23
pdf| abstract|blog post

Publications

Feature-Based Dynamic Matching
Yilun Chen, Yash Kanoria, Akshit Kumar, Wenxin Zhang
EC'23 | ACM Conference on Economics and Computation
pdf| abstract|blog post

Breaking the Unit Throughput Barrier in Random Access Protocol Based Distributed Systems
Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cédric Adjih
NCC 2023 | National Conference on Communications
pdf| abstract

The Multi-secretary Problem with Many Types
Omar Besbes, Yash Kanoria, Akshit Kumar
EC'22 | ACM Conference on Economics and Computation
pdf| abstract

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
pdf| abstract

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
pdf| abstract

Talks

Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances
INFORMS Annual Meeting, Phoenix, Arizona, October 2023
Fulfillment Optimization Research Series, Amazon, Bellevue, Washington, August, 2023
slides| poster

The Multi-secretary Problem with Many Types
INFORMS Annual Meeting, Indianapolis, Indiana, October 2022
EC'22, Boulder, Colorado, July 2022
MSOM Annual Conference, Munich, Germany, June 2022
RMP Annual Conference, Online, June 2022
flash talk|video|slides | poster

Feature Based Dynamic Matching
INFORMS Annual Meeting, Indianapolis, Indiana, October 2022
RMP Annual Conference, London, England, June 2023
slides

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