About me

I am an Associate Professor in Computer Science at UC Santa Barbara, Faculty Scientist at Berkeley Lab, and Marjorie & Charles Benton Opportunity Fund Fellow at Benton Institute.

I co-direct the Systems and Networking Lab (SNL) at UCSB, where I have been utilizing my system-building skills to address a variety of pressing digital inequity challenges, namely, ensuring secure, performant, and affordable “Internet for All.” To this end, my current research focuses on democratizing the development of production-ready ML artifacts for self-driving networks (to ensure performant and secure connectivity with limited infrastructure and operational resources) and enabling data-driven policymaking (to ensure performant and affordable connectivity with limited capital resources).

📄 You can download my CV here.

Recognition

• 🏆 UC Presidential Faculty Fellows Program (PFFP), University of California, 2026. Announcement
• 🏆 Google ML and Systems Junior Faculty Award, 2025. Announcement
• 🏆 Google Research Scholar Award, 2025. Announcement
• 🏆 NSF CAREER Award, 2025. Abstract
• 🏆 IETF/IRTF Applied Networking Research Prize (ANRP), IETF/IRTF, 2025. Paper
• 🏆 Marjorie & Charles Benton Opportunity Fund Fellowship, Benton Institute, 2025. Announcement
• 🏆 SIGCOMM Dissertation Award (Advisee: Udit Paul), 2024. Dissertation
• 🏆 IETF/IRTF Applied Networking Research Prize (ANRP), IETF/IRTF, 2023. Paper
• 🏆 Best Paper Honorable Mention, ACM CCS, 2022. Paper
• 🏆 Distinguished Paper Award, ACM IMC, 2022. Paper
• 🏆 SIGCOMM Dissertation Award Honorable Mention, 2018. Dissertation
• 🏆 Best Paper Award, ACM SOSR, 2017. Paper
• 🏆 Best of the Rest Paper Award for Best Paper in all USENIX Conferences, 2016. Paper
• 🏆 Community Contribution Award, USENIX NSDI, 2016. Paper
• 🏆 Internet-2 Innovation Award, 2013. Paper

Selected Publications

• Assessing the Efficacy of the Connect America Fund in Addressing Internet Access Inequities in the US, ACM SIGCOMM, 2024.
  🏆 IETF/IRTF Applied Networking Research Prize (ANRP)
• Towards Bridging the Divide: Enhancing Understanding of Digital Inequity,
  Doctoral Dissertation, Udit Paul, University of California Santa Barbara (UCSB), 2023.
  🏆 ACM SIGCOMM Doctoral Dissertation Award
• AI/ML for Network Security: The Emperor has no Clothes, ACM CCS, 2022.
  🏆 Best Paper Honorable Mention
  🏆 IETF/IRTF Applied Networking Research Prize (ANRP)
• The Importance of Contextualization of Crowdsourced Active Speed Test Measurements ACM IMC, 2022.
  🏆 Distinguished Paper Award (Long)
• Detecting Ephemeral Optical Events with OpTel, USENIX NSDI, 2022.
  Deployed at Tencent
• Flexible and Scalable Systems for Network Management,
  Doctoral Dissertation, Arpit Gupta, Princeton University, 2018.
  🏆 ACM SIGCOMM Doctoral Dissertation Award Honorable Mention
• iSDX: An Industrial-Scale Software Defined Internet Exchange Point, USENIX NSDI 2016.
  🏆 USENIX NSDI Community Contribution Award
  🏆 USENIX Best of the Rest
• SDX: A Software Defined Internet Exchange, ACM SIGCOMM 2014.
  🏆 Internet2 Innovation Award

Please check this page for an extended list of publications. Citation metrics are available on my Google Scholar profile.

Selected Impact

• Amici curiae brief in Wisconsin Bell v. U.S. ex rel. Heath (No. 23-1127), U.S. Supreme Court, 2024. Brief
• Congressional staff briefing, “Building Trust in Public Institutions,” Dirksen Senate Office Building, 2026 (UC Presidential Faculty Fellows Program). [Brief]
• Invited briefing to the Virginia Joint Commission on Technology and Science (JCOTS) full commission, Richmond, 2025, presenting our broadband-affordability findings.
• Measuring Broadband Policy Success, Harvard Law Review Blog, 2024.
• Broadband competition and pricing analysis used by the California Public Advocates Office (CPUC), 2026, based on UCSB’s Broadband Query Tool (BQT).

For the full record of policy briefs, amicus work, and community engagement, see my research page.

Selected Talks

• Making the Self-Driving “Net” Work: Developing Production-Ready ML Models for Self-Driving Networks, keynote, INDIS Workshop, SC25, 2025.
• Making the “Net” Work for All: From Measurements to Impact, keynote, inaugural IMC Student Workshop, 2025.
• In Search of a Networking Unicorn, keynote, 8th KNIT Workshop, San Diego Supercomputer Center, 2024.
• Invited briefing to the Virginia JCOTS full commission, Richmond, 2025.

See my research page for the full list of talks.

Workshops and Tutorials

It has been an absolute honor and privilege to get the opportunities to organize different workshops (and tutorials) on topics related to digital equity and self-driving networks.

• ACM SIGCOMM 2023 Tutorial: Closed-Loop ML (for Networks) Pipelines, Sep 2023.
• Bridging the Divide: Answering Internet Policy Questions with Cutting-Edge Network Measurement Algorithms, Datasets, and Platforms, June 2023. Workshop Report
• ACM SIGMETRICS Workshop on Measurements for Self-Driving Networks, 2023, June 2023. Workshop Report
• NSF Workshop on Internet Frontiers & Opportunities, Nov 2021
• NSF Workshop on NextG Security, Oct 2020
• NSF Workshop on Measurements for Self-driving Networks, Apr 2019. Workshop Report

News

In the News

• Google honors UCSB computer scientist for pioneering low-cost AI network models, The Current (UCSB), Aug 2025. (College of Engineering)
• A CAREER Award to Democratize Advanced Network Management Technology, UCSB College of Engineering, May 2025. (CS Department)
• Federal broadband subsidies boosted rural internet, but service faded once funding ended, The Current (UCSB), Sep 2024. (College of Engineering)
• Paper Coauthored by Arpit Gupta Awarded Best Paper Honorable Mention at ACM CCS, UCSB CS, Nov 2022.

Updates

• Oct 2026: New DOE/LBNL Laboratory Directed Research & Development (LDRD) grant, Making Agentic AI Safe for DOE User Facilities (Co-PI), begins.
• Jun 2026: Served on the Automation and Data Generation panels at the Workshop on Generative AI in Networking, University of Chicago Paris Center, France.
• May 2026: Sylee (Roman) Beltiukov graduated with his Ph.D., Credible Machine Learning for Networking. 🎓
• May 2026: Delivered a Congressional staff briefing, “Building Trust in Public Institutions,” at the Dirksen Senate Office Building as a UC Presidential Faculty Fellow.
• May 2026: Sanjay Chandrasekaran received the UCSB CS Outstanding Teaching Assistant Award. 🏆
• May 2026: TurboTest: Learning When Less is Enough through Early Termination of Internet Speed Tests appeared at USENIX NSDI 2026, led by Haarika Manda.
• May 2026: SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate appeared at USENIX NSDI 2026.
• Mar 2026: Selected for the UC Presidential Faculty Fellows Program (PFFP). 🏆
• Mar 2026: Moderated the session on Agentic AI in Network Measurement and Infrastructure at the CAIDA AIMS Workshop, UC San Diego.
• Feb 2026: Co-authored Broadband Affordability and the BEAD Program, a policy brief for USC Annenberg’s MEDIA Project.