Arpit Gupta

Arpit Gupta is an Associate Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he co-directs the Systems and Networking Lab (SNL). He also serves as a Faculty Scientist at Lawrence Berkeley National Laboratory and holds the Marjorie & Charles Benton Opportunity Fund Fellowship at the Benton Institute.

His research focuses on two main areas: developing production-ready machine learning systems for self-driving networks that ensure secure and performant connectivity with limited infrastructure, and enabling data-driven policymaking to address digital inequity through better broadband measurement and analysis. His work bridges networking, security, and analytics to solve real-world problems at scale.

Gupta's research has resulted in several influential systems including Trustee (for ML interpretability in networks), BQT (for broadband plan analysis), PINOT (programmable data collection), netUnicorn (network data collection platform), and netFound (network foundation models). His team develops practical solutions that have been deployed in production environments, including at Tencent.

• NSF CAREER Award (2025)
• Google Research Scholar Award (2025)
• Google ML and Systems Junior Faculty Award (2025)
• IETF/IRTF Applied Networking Prize (2025, 2023)
• SIGCOMM Doctoral Dissertation Award (2024)
• Best Paper Honorable Mention, ACM CCS (2022)

As a mentor, he has advised multiple award-winning students including Udit Paul who received the SIGCOMM Doctoral Dissertation Award. His research is supported by substantial funding from NSF (including a $700k CAREER award), DoE, Google, Verizon, Cisco, and state agencies including the California Public Utility Commission.