Fengchen Gong

I am a second year PhD student in Computer Science at Princeton University, advised by Maria Apostolaki.

My broad research interests focus on making networks more reliable and performant. I build systems to monitor the network at fine granularity in a cost-effective and general way for better debugging, provisioning and protection.

Previously, I graduated from Stanford Unviersity with a Master degree, advised by Zakir Durumeric. I did my bachelor's in ECE at Purdue University.

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Research
Zoom2Net: Constrained Network Telemetry Imputation
Fengchen Gong, Divya Raghunathan, Aarti Gupta, Maria Apostolaki
in Proceedings of the ACM SIGCOMM 2024 Conference (SIGCOMM ’24), August 2024
Towards Integrating Formal Methods into ML-Based Systems for Networking
Fengchen Gong, Divya Raghunathan, Aarti Gupta, Maria Apostolaki
in Proceedings of The 22nd ACM Workshop on Hot Topics in Networks (HotNets’23), November 2023
Retina: Analyzing 100GbE Traffic on Commodity Hardware
Gerry Wan, Fengchen Gong, Tom Barbette, Zakir Durumeric
in Proceedings of the ACM SIGCOMM 2022 Conference (SIGCOMM ’22), August 2022
A Study on VR Training of Baseball Athletes
Jack A. Kincaid, Fengchen Gong, Tianjie Jian, Hong Z. Tan, Casey Kohr, Gary Bertoline
International Conference on Human-Computer Interaction, July 2021


Teaching
Course Assistant at Stanford University:
  • CS155: Computer and Network Security
Course Assistant at Purdue University:
  • Engr 131: Transforming Ideas to Innovation I
  • ECE 362: Microprocessor Systems and Interfacing