Fraida Fund

We have been awarded an NSF grant (NeTS: Architectural Foundations for Deployable Low-Latency and Resilient Networks, with co-PIs Shivendra Panwar and Pei Liu) to establish architecturally extensible approaches that enable the evolutionary integration of new capabilities within legacy network infrastructures. The project will kick off in October 2026. NSF award

Our paper ‘Mind the Generalization Gap: Lessons from Reproducing Research on Machine Learning for Wireless Networks’ (with co-authors Lavesh Mangal and Shivendra Panwar) will appear at the ACM Workshop on Negative Results in Network Measurements (NetNeg) at SIGCOMM 2026. Paper

Our paper ‘Extending Low Latency Service Across the Internet’ (with co-authors Harkirat Singh, Fatih Berkay Sarpkaya, Hakan Gulec, and Shivendra Panwar) is accepted to ICNP 2026.

Our paper ‘It Works, But Why? A Case Study of Artifact Consumption in Machine Learning Systems’ (with co-author Ansh Sarkar) appeared at ACM REP 2026.

The report for the ‘AI Can Do Your Homework. Now What?’ July 2026 workshop, organized by our SIGCSE Virtual 2026 Working Group, is now available. Link

Two papers co-authored with colleagues on education in networking will be part of the SIGCOMM Education Workshop 2026: a forty-year retrospective with Shivendra Panwar (PDF), and a paper on teaching with research infrastructure at Farmingdale State College with Ilknur Aydin (PDF).

Two experiences on teaching machine learning and data systems are accepted at SIGCSE Virtual 2026: ‘Leveraging Chameleon Cloud for Hands-On Learning in Systems and Data Courses’, with co-authors Erez Zadok, Tyler Estro, David Koop, Kate Keahey, and Marc Richardson; and ‘Teaching Machine Learning with Repeated Practice and Rapid Feedback in PrairieLearn’, with co-author Firas Moosvi. Pre-prints coming soon!

Our mini-symposium on Teaching AI at the Sixth Chameleon User Meeting was a great success, with 14 participants from 10 different institutions. Look out for a workshop report, coming soon!