I recently received my PhD in Computer Science from MIT, where I was advised by Hari Balakrishnan and by Mohammad Alizadeh in the Networks and Mobile Systems group at CSAIL. From 2020-2023, I was a student researcher at Microsoft Azure for Operators, where I was mentored by Victor Bahl.
I was supported by a Jacobs Presidential Fellowship and by an NSF Graduate Research Fellowship. My research spanned mobile systems, networking and computer vision. My thesis built application-aware scheduling architectures for mobile systems.
Before MIT, I was an undergrad at Stanford University, where I graduated with honors and distinction. I worked with the Stanford Networked Systems Group, and was advised by Sachin Katti. I was also mentored by and worked closely with Aaron Schulman.
Publications
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos
Arjun Balasingam, Joseph Chandler, Chenning Li,
Zhoutong Zhang, Hari Balakrishnan.
To appear at CVPR 2024
[paper]
[web]
Application-Level Service Assurance with 5G RAN Slicing
Arjun Balasingam, Manikanta Kotaru, Paramvir Bahl.
To appear at NSDI 2024
[paper]
[program]
Throughput-Fairness Tradeoffs in Mobility Platforms
Arjun Balasingam, Karthik Gopalakrishnan,
Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh,
Hamsa Balakrishnan, Hari Balakrishnan.
MobiSys 2021
[paper]
[extended version]
[slides]
[web]
[talk]
[program]
Toward a Marketplace for Aerial Computing
Arjun Balasingam, Karthik Gopalakrishnan,
Radhika Mittal, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan.
DroNet 2021
[paper]
[program]
MIRIS: Fast Object Track Queries in Video
Favyen Bastani, Songtao He, Arjun Balasingam,
Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan,
Michael Cafarella, Tim Kraska, Sam Madden.
SIGMOD 2020
[paper]
[web]
[program]
BeeCluster: Drone Orchestration via Predictive Optimization
Songtao He, Favyen Bastani, Arjun Balasingam,
Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan,
Michael Cafarella, Tim Kraska, Sam Madden.
MobiSys 2020
[paper]
[web]
[program]
Detecting if LTE is the Bottleneck with BurstTracker
Arjun Balasingam, Manu Bansal,
Rakesh Misra, Kanthi Nagaraj, Rahul Tandra, Sachin Katti, Aaron Schulman.
MobiCom 2019
[paper]
[slides]
[code]
[talk]
[program]
Enabling Robust, Secure, and Efficient Cellular Networks with Fine-Grained Radio-Layer Analytics
Arjun Balasingam
Stanford Digital Repository, 2018
[thesis]
Broadcast LTE Data Reveals Application Type
Arjun Balasingam, Manu Bansal,
Rakesh Misra, Rahul Tandra, Aaron Schulman, Sachin Katti.
MobiCom 2017
[extended abstract]
[poster]
[slides]
[program]
Awarded 1st Place in ACM MobiCom Student Research Competition!
Rapid Co-optimization of Processing and Circuit Design to Overcome Nanotube Variations
Gage Hills, Jie Zhang, Max Shulaker, Hai Wei, Chi-Shuen Lee,
Arjun Balasingam, H.-S. Philip Wong,
Subhasish Mitra.
IEEE Transactions on CAD 2015
[paper]
Patents
Calculating and exposing network capacity and congestion to applications
Manikanta Kotaru, Arjun Balasingam, Paramvir Bahl.
U.S. Patent No. 2023/0413076 (issued 21 December 2023)
5G admission by verifying slice SLA guarantees
Manikanta Kotaru, Arjun Balasingam, Paramvir Bahl.
U.S. Patent No. 11,706,658 (issued 18 July 2023)
[overview]
Compute-aware resource configurations for a radio access network
Manikanta Kotaru, Arjun Balasingam, Paramvir Bahl.
U.S. Patent No. 11,665,589 (issued 30 May 2023)
[overview]
Learned scheduler for flexible radio resource allocation
Arjun Balasingam, Manikanta Kotaru, Paramvir Bahl.
U.S. Patent App. 17/356,161 (pending)
[overview]
Dynamic 5G network slicing to maximize spectrum utilization
Manikanta Kotaru, Arjun Balasingam, Paramvir Bahl.
U.S. Patent No. 11,540,298 (issued 27 December 2022)
[overview]
Flexure-Enhancing System for Improved Power Generation in a Wind-Powered Piezoelectric System
Arjun Balasingam, James M. Janky.
U.S. Patent No. 9,735,711 (issued 15 August 2017)
[pdf]
[overview]