Yifeng Zhu
Chair
Electrical and Computer Engineering
Contact
Website
Yifeng Zhu specializes in machine learning, distributed and parallel computing, and computer architecture. His recent work advances adaptive, explainable AI that is data-efficient, trustworthy, and deployable across domains such as cancer diagnostics, intelligent manufacturing, and large-scale scientific simulation. He bridges algorithmic innovation with real-world deployment through interdisciplinary collaborations, integrating model design with scalable computing and rigorous evaluation. Yifeng has served as PI or Co-PI on 17 externally funded projects supported by NSF, NASA, and other federal agencies, securing more than $30 million in research support.
Areas of Expertise
Artificial Intelligence
Data Science and Engineering
Deep Learning
Embedded Systems
High-Performance Computing
Data Science and Engineering
Deep Learning
Embedded Systems
High-Performance Computing
Education
Ph.D., Computer Science and Engineering, University of Nebraska
M.S., Computer Science and Engineering, University of Nebraska
B.E., Electrical Engineering, Huazhong University of Science and Technology.
M.S., Computer Science and Engineering, University of Nebraska
B.E., Electrical Engineering, Huazhong University of Science and Technology.
Chair
Norman Stetson Professor
