معرفی
Guoyu Chen is an Assistant Professor of Electrical & Computer Engineering at Mount Vernon Nazarene University. He holds a Ph.D. in Electrical and Computer Engineering from The Ohio State University (2024), specializing in Efficient ML Workload Processing on Data Center Servers, and dual bachelor's degrees in Electrical Engineering and Electronic Information Engineering from Northern Arizona University and Chongqing University of Posts and Telecommunications. His research focuses on optimizing machine learning workloads in data centers, latency reduction, power efficiency, and multi-sensor fusion for driver activity recognition.
Education: Ph.D. (2024) and M.S. (2020) in Electrical and Computer Engineering from The Ohio State University; B.S. (2019) in Electrical Engineering from Northern Arizona University; B.E. (2019) in Electronic Information Engineering from Chongqing University of Posts and Telecommunications.
Research interests include machine learning performance optimization, distributed computing systems, and embedded systems. Notable work includes OptimML for joint control of inference latency and server power consumption, and latency-guaranteed co-location of ML inference and training to reduce data center expenses. He has also explored fusion of WiFi signals and camera data for driver activity recognition using deep learning.
Publications span ACM Transactions and IEEE conferences such as ICDCS and MASS. He is a member of IEEE.
