I am currently an assistant professor in computer science at UC Santa Barbara. At UCSB, I co-direct the Systems and Networking Lab (SNL). I received my Ph.D. in computer science from Princeton University.
As a systems researcher, I design and build flexible, scalable, and trustworthy systems that solve the real-world problems at the intersection of networking, security, and machine learning. Specifically, I am interested in developing self-driving networks that use programmable data planes and machine learning to provide highly available, reliable, performant and secure network connectivity at lower costs to under-served communities.
I work with different industry partners, such as Microsoft Research, Tencent, Verizon, ViaSat, ATT, Intel, Ookla, etc., on problems related to development and deployment of ML-based artifacts for networking.
Please find more details about my current research here.
If you are interested in learning how to develop and deploy production-ready ML-based solutions for networking, come work with us.
🆕 I am actively looking for Ph.D. students and post-docs for my group.
I also actively work with undergraduate students at UCSB through different programs (DIMAP, ERSP, etc.). I mentor students outside UCSB on their undergraduate thesis projects and regularly host visiting students.
Please don’t hesitate to contact me if you have any questions.
- AI/ML for Network Security: The Emperor has no Clothes, ACM CCS, 2022.
🏆 Best Paper Honorable Mention
🏆 IETF/IRTF Applied Networking 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.
- An Effort to Democratize Networking Research in the Era of AI/ML, ACM HotNets 2019.
- Flexible and Scalable Systems for Network Management, Dissertation, Princeton University, 2018.
🏆 Honorary Mention, ACM Doctoral Dissertation Award
- Sonata: Query-Driven Streaming Network Telemetry, ACM SIGCOMM 2018.
- 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
- IETF/IRTF Applied Networking Prize (ANRP), IETF/IRTF, 2023.
- Best Paper Honorable Mention, ACM CCS, 2022.
- Best Paper Award, ACM SIGCOMM IMC, 2022
- Honorable Mention, SIGCOMM Dissertation Award, 2018
- Best Paper Award, ACM SOSR, 2017
- USENIX Best of the Rest Paper Award for Best Paper in all USENIX Conferences, 2016
- USENIX Community Contribution Award, USENIX NSDI, 2016
- Internet-2 Innovation Award, 2013
- Organized workshops for NSF
- Program Committee Member
- ACM SIGCOMM: 2021, 2020
- USENIX NSDI: 2024, 2023, 2021, 2020
- ACM SOSR: 2021, 2019
- ACM CoNEXT: 2019
Jan 2023: Our paper, Panakos: Chasing the Tails for Multidimensional Data Streams, got accepted at VLDB’23. Kudos to Fuheng Zhao and Punnal Ismail Khan for their hard work and perseverance!
Jan 2023: Our project, Trustee, received the Applied Networking Prize (ANRP) from IETF/IRTF. Kudos to Arthur Jacobs and Roman Beltiukov for yet another recognition for their awesome work! 🏆
Nov 2022: Our paper, AI/ML for Network Security: The Emperor has no Clothes, received the Best Paper Honorable Mention at ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022. It was rated as the best paper in the
Machine Learning and Securitytrack. Special congratulations to Roman Beltiukov and Arthur Jacobs! 🏆
Nov 2022: I had the privilege to visit Lawrence Berkeley National Lab (LBNL). Special thanks to Inder Monga for hosting me.
Oct 2022: I had the privilege to present the Trustee work at ETH Zurich. Special thanks to Laurent Vanbever for hosting me.
Oct 2022: Our paper, The Importance of Contextualization of Crowdsourced Active Speed Test Measurements received the Distinguished Paper Award (Long) at ACM SIGCOMM Internet Measurements Conference (IMC), 2022. Special congratulations to my student, Udit Paul! 🏆
June 2022: Sanjay Chandrasekaran received the Computer Science Outstanding Graduate Research Award. 🏆
June 2022: Rohan Bhatia received the Computer Science Outstanding Teaching Assistant Award. 🏆
June 2022: Chaofan Shuo received the prestigious Computer Science Outstanding Undergraduate Research Award. 🏆
Apr 2022: Congcong Miao (Tencent) will present our work on detecting ephemeral network events in optical transport network at NSDI 2022.
Feb 2022: I talked about our efforts to democratize networking research at Google’s Networking Research Summit.
Jan 2022: Sanjay Chandrasekaran received M-Lab’s Research Fellowship 2022. Sanjay will be using the programmable research infrastructure at UCSB to study the relationship between the quality of experience (QoE) for applications and various QoS metrics from the network. 🏆