Feng Yan
Associate Professor
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolFeng Yan is a tenured Associate Professor of Computer Science and Electrical and Computer Engineering at the University of Houston who leads the Intelligent Data and Systems Lab, marrying AI research with high-performance systems engineering. Over a decade of experience spans large language models, large-scale distributed deep learning, federated learning, AutoML, serverless computing and AI infrastructure, with close collaborations with Microsoft, Google, Meta, IBM and other industry labs. He has secured over $4M in external funding (including $2.6M as PI/Site-PI), published at top venues in both ML and systems, and advised students now placed in leading research labs and national labs. His work uniquely bridges practical performance engineering (scalability tools and schedulers developed at Microsoft and HP Labs) with domain-driven AI applications in health, physics and materials science. Recipient of an NSF CAREER and multiple best paper awards, he also serves the community as ACM SIGMETRICS Social Media Chair, signaling a blend of research impact and public-facing engagement.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The College of William and MaryBachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Northeastern University
English, Chinese, Chinese
Github Skills (134)
flutter-desktop10
windows10
rdp10
infrastructure10
flutter-web10
remote-desktop10
flutter-ui10
apollo10
teamviewer10
autonomous-driving10
p2p10
rust-lang10
linux10
autonomous-vehicles10
rust10
Programming languages (9)
Github contributions (5)
fy2462/fy2462.github.io
Feb 2021 - Oct 2024
Contributions:59 pushes, 2 branches, 3 issues in 3 years 8 months
fy2462/rust-psutil
Nov 2021 - Mar 2025
A process and system monitoring library for Rust
Contributions:2 pushes in 3 years 4 months
rustmonitoringsystem-monitoring
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