My research is on the modeling, analysis and design of communication networks, with emphasis on wireless and real-time networks. My current focus is on scheduling problems in networked control systems, robotics and federated learning.

I am generally interested in scheduling and resource allocation problems, even those arising outside wireless networks, and I have experience working on these problems at scale in Google and Facebook.

While most of my work tends to be theoretical, over the past two years I have also designed and built new wireless systems that implement some of my network algorithms on drones and small autonomous vehicles, in collaboration with Igor Kadota and Ezra Tal. You can find a video describing some of this work here.


  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][Video].

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

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

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

  6. V. Tripathi, and E. Modiano, "Age Debt: A General Framework for Minimizing Age of Information", 4th AoI Wkshp, IEEE INFOCOM, 2021: [Technical Report].

  7. V. Tripathi, and E. Modiano, "A Whittle Index Approach to Minimizing Functions of Age of Information", In Allerton, 2019: [Technical Report] [Slides].

  8. V. Tripathi, R. Talak, and E. Modiano " Age Optimal Information Gathering and Dissemination on Graphs ", IEEE INFOCOM, 2019: [Proc. IEEE ] [Technical Report] [Slides].

  9. V. Tripathi, and S. Moharir, "Age of Information in Multi-Source Systems", In IEEE GlobeCom, 2017: [Proc. IEEE ] [Technical Report] [Slides].


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

  2. V. Tripathi, R. Talak, and E. Modiano " Age Optimal Information Gathering and Dissemination on Graphs ", IEEE Transactions on Mobile Computing, 2021: [Proc. IEEE ].


  1. “WiSwarm: Wireless Networking for Multi-Agent Robotics”, LIDS Student Conference, February, 2023, Best Presentation Award (Networks Session).

  2. “Information Freshness for Monitoring and Control over Wireless Networks”,

    1. LIDS/RLE Communication + Information Theory Seminar, Spring 2022.

    2. Invited Talk, Nokia Bell Labs, December 2022.

    3. Invited Talk, Electrical Engineering, IIT-Bombay, December 2022.

    4. Invited Talk, School of Technology and Computer Science, TIFR, Mumbai, December 2022.

  3. “Age Debt: A General Framework For Minimizing Age of Information”, LIDS and Stats Tea Talk, April, 2021.

  4. Talk on Online Learning for Restless Multi-Armed Bandits, LIDS Student Conference, January, 2021.

  5. Lecture on mean field theory in networks, 6.263 (Data Communication Networks), MIT, November, 2019.

  6. “Age Optimal Information Gathering and Dissemination on Graphs”, LIDS Student Conference, January, 2019, Best Presentation Runner Up Award.

Theses and Preprints

  1. V. Tripathi, "Age of Information and Mobility", [S.M. Thesis], MIT, 2019.

  2. V. Tripathi, R. Talak, and E. Modiano, "Age of Information for Discrete Time Queues", [Technical Report].

Some other stuff that I have worked on over the years includes predicting chaotic systems using matrix estimation (course project for advanced machine learning at MIT), non-monotonic Lyapunov functions (course project for algebraic optimization at MIT), finding large submatrices in random matrices (course project for advanced probability at MIT), and distributed spectral clustering (course project for advanced signal processing at IIT-B)