Title
Assistant Professor of Electrical and Computer Engineering
Education
PhD, Computer Science, Princeton University (2023)
Bachelor's degree, IIIS, Tsinghua University (2017)
Key Areas
Cloud security, Communications security, Cryptology -- hardware, software, algorithms, Cyberphysical systems and IoT, Network Security, Operating Systems, Privacy, Security of AI/ML, Web Services
Notable Awards
Best Paper Award, INFOCOM 2023: Scalable Real-Time Bandwidth Fairness in Switches
Best Paper Award, SOSR 2022: Synthesizing State Machines for Data Planes
Siebel Scholars, class of 2022
Finalist, Facebook PhD Fellowship, 2020
School of Engineering and Applied Science Award for Excellence, Princeton University, 2020
Notable Affiliations
Journal Reviewer:
IEEE/ACM Transactions on Networking (ToN)
IEEE Transactions on Network Science and Engineering (TNSE)
IEEE Transactions on Information Forensics and Security (T-IFS)
Journal of Network and Computer Applications (JNCA)
Computer Networks
Program Committee:
NSDI, 2024
ICNP, 2024
Shadow Program Committee:
EuroSys, 2022
IMC, 2022
Artifact Evaluation Committee:
ACM SIGCOMM, 2021, 2022, 2023
ACM CoNEXT, 2021, 2023 (chair)
USENIX Security, 2024
Publications
[INFOCOM'23] Scalable Real-Time Bandwidth Fairness in Switches. Robert MacDavid, Xiaoqi Chen, Jennifer Rexford
[SOSR'22] Synthesizing State Machines for Data Planes. Xiaoqi Chen, Andrew Johnson, Mengying Pan, David Walker
[SIGCOMM'20] BeauCoup: Answering Many Network Traffic Queries, One Memory Update at a Time. Xiaoqi Chen, Shir Landau-Feibish, Mark Braverman, Jennifer Rexford
[CoNEXT'19] Fine-Grained Queue Measurement in the Data Plane. Xiaoqi Chen, Shir Landau Feibish, Yaron Koral, Jennifer Rexford, Ori Rottenstreich, Steven A Monetti, Tzuu-Yi Wang
Biography
Dr. Chen am an Assistant Professor at the School of Electrical and Computer Engineering, Purdue University. His research interest is at the juxtaposition of approximate algorithm design and optimizing real-world high-speed networks. He designs and builds efficient data-plane algorithms for network measurement and closed-loop control to improve network performance and security.
