Vishrant Tripathi
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Assistant Professor, |
About me
I joined the department of Electrical and Computer Engineering (ECE) at Purdue University as an Assistant Professor in Fall 2024. Here, I have set up the Multi-Agent Intelligent Networks (MAIN) group. Our research interests lie in the optimization of networks - with application areas including multi-agent robotics, networked control, federated learning, and edge computing. More recently, I have also been working on accelerating ML inference and next-generation wireless networks.
In case you're interested in working on problems at the intersection of communication networks, probabilistic modeling, optimization/control, robotics, and machine learning I am recruiting students for Fall 2026 and Fall 2027. Send me an email to get in touch!
I obtained a Ph.D. in the EECS department at MIT, working with Prof. Eytan Modiano at the Laboratory for Information and Decision Systems (LIDS). There, I worked on the modeling, analysis and design of communication networks, with emphasis on wireless and real-time networks. I have also worked on scheduling problems in networked control systems, robotics, federated learning, and software defined network control for datacenters.
Priot to my time at MIT, I received a B.Tech. with Honors in Electrical Engineering at the Indian Institute of Technology, Bombay (IIT-B). There, I worked with Prof. Sharayu Moharir on resource allocation in wireless networks.
You can find press coverage of some of my work at the following links - MIT News, AeroAstro@MIT, Schwarzman College of Computing MIT, Institute for Data Systems and Society MIT, Wireless Communications Alliance, AI Magazine, Hackster.io, TechXplore, Autonomous Vehicle International, and Quadricottero.
Recent Updates
Mar 2026: Our paper “Using Age of Information for Throughput Optimal Spectrum Sharing” got accepted to WiOpt 2026! This work was led by Hongjae Nam, along with co-author Prof. David Love.
Feb 2026: Our paper “Exploring Performance Tradeoffs in Age-Aware Remote Monitoring with Satellites” got accepted to the IEEE Infocom workshop on Age and Semantics of Information 2026! This work was led by Sunjung Kang, along with co-author Prof. Chris Brinton.
Dec 2025: Our paper “AoI-based Scheduling of Correlated Sources for Timely Inference” got accepted to IEEE Transactions on Networking! This work was led by Md. Kamran Shisher, along with co-authors Prof. Mung Chiang and Prof. Chris Brinton.
Apr 2025: Our paper “Optimizing Age of Information in Networks with Large and Small Updates” got accepted to WiOpt 2025! This work was led by Zhuoyi Zhao, along with co-author Prof. Igor Kadota at Northwestern University.
Apr 2025: Our paper “Communication-Efficient Cooperative Localization: A Graph Neural Network Approach” got accepted to WiOpt 2025! This work was led by Yinan Zou, along with co-author Prof. Chris Brinton.
Mar 2025: Our paper “Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems” got accepted to WiOpt 2025! This work was led by Sunjung Kang, along with co-author Prof. Chris Brinton.
Jan 2025: Our paper “AoI-based Scheduling of Correlated Sources for Timely Inference” got accepted to IEEE ICC 2025! This work was led by Md. Kamran Shisher, along with co-authors Prof. Mung Chiang and Prof. Chris Brinton.
Aug 2024: I will start as an Elmore Scholar of Excellence Assistant Professor in the ECE department at Purdue!
Research
For a detailed description of my current research interests, please check our group's website - MAIN lab.
At a high level, my research interests include
Communication Networks
Robotics
Control & Optimization
I currently work on designing scheduling policies for the consistent delivery of timely information in wireless and mobile networks. Applications include internet-of-things, networked control systems, multi-agent robotics and federated learning.
My work typically involves formulating a theoretical model that captures the main details of a problem to be studied, but still remains analytically tractable. Then, I analyze this model to gain new insights; using tools from probability, optimization and algorithms. More recently, I have also been interested in building new wireless systems that verify our fundamental theoretical results in practice. A short video describing some of this work is linked below -
I defended my Ph.D. thesis successfully at MIT in Aug 2023. This was a culmination of 6 years of work, and I am grateful to everyone who helped me along the way! You can find a video recording of my defense here and a pdf version of the slides I used during my defense here. You can also find a copy of my thesis here.
Recent Publications
Visit my google scholar profile for a complete list of publications.