Qing Yang

Qing Yang is a Professor at the University of Rhode Island's College of Engineering, specializing in Electrical, Computer and Biomedical Engineering. His research spans Computer Architectures, Hardware/Software Designs for AI, Machine Learning, Data Storage, and Computer Networks.

• Ph.D., Computer Engineering, University of Louisiana, Lafayette, 1988
• M.A., Electrical Engineering, University of Toronto, 1985
• B.S., Computer Science, Huazhong University of Science and Technology, China, 1982

Yang's work focuses on advanced computing systems, including FPGA optimization, in-sensor processing for ADAS, and secure die-to-die communication architectures. His publications highlight innovations in storage systems, graph processing acceleration, and thermal monitoring for data centers.

Recent research trends emphasize AI hardware acceleration, runtime security mechanisms, and smart storage solutions, with articles published in venues like FPGA, IEEE NAS, and ACM Transactions on Storage.

Yang has secured multiple National Science Foundation grants for projects such as "Introducing a New In-Sensor Computing Architecture for Intelligent 3-D Imaging Systems." His inventions in data recovery and cache coherence have resulted in 14 U.S. patents, several of which were commercialized through a startup.