Vishrant Tripathi

Assistant Professor,
Dept. of ECE, Purdue
email: tripathv [@] purdue [DOT] edu

About me

I will be joining the department of Electrical and Computer Engineering (ECE) at Purdue University as an Assistant Professor in Fall 2024. My 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 software defined networking 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 2024, Spring 2025 and Fall 2025. 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 recent 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

Jun 2024: After a wonderful year at Google, I will be moving to the ECE department at Purdue as an Elmore Scholar of Excellence Assistant Professor.

Dec 2023: Our paper “Monitoring Correlated Sources: AoI-based Scheduling is Nearly Optimal” just got accepted to IEEE INFOCOM 2024. This was joint work with R. Vallabh Ramakanth and Prof. Modiano.

Dec 2023: My thesis and ongoing research will be profiled in the upcoming special issue of the ACM SIGMETRICS Performance Review. You can find a copy of the profile here.

Aug 2023: I recently defended my Ph.D. thesis successfully at MIT. 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.

Research

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 -

Recent Publications

  1. V. Tripathi, I. Kadota, E. Tal, M. Shahir Rehman, A. Warren, S. Karaman, and E. Modiano, "WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs", IEEE INFOCOM, 2023: [Technical Report].

  2. V. Tripathi, N. Jones, and E. Modiano, "Fresh-CSMA: A Distributed Protocol for Minimizing Age of Information", IEEE INFOCOM, 2023: [Technical Report].

  3. V. Tripathi, R. Talak, and E. Modiano, "Information Freshness in Multi-Hop Wireless Networks", IEEE/ACM Transactions on Networking, 2022: [Technical Report].

  4. V. Tripathi and E. Modiano, "Optimizing Age of Information with Correlated Sources", ACM MobiHoc, 2022: Best Paper Runner Up Award. [Technical Report] .

  5. V. Tripathi, L. Ballotta, L. Carlone, and E. Modiano, "“Computation and Communication Co-Design for Real-Time Monitoring and Control in Multi-Agent Systems", IFIP WiOpt, 2021: [Technical Report].

  6. V. Tripathi, and E. Modiano, "An Online Learning Approach to Optimizing Time- Varying Costs of AoI", ACM Mobihoc, 2021: [Technical Report].

  7. V. Tripathi, and E. Modiano, "Age Debt: A general framework for minimizing age of information", AoI Workshop, IEEE INFOCOM, 2021: [Technical Report].

Visit my google scholar profile for a complete list of publications.