Summary
Zhenhua Feng is a professor of computer vision and machine learning with a decade of experience bridging academic research and applied work across the University of Surrey and Jiangnan University. He earned a PhD in pattern recognition and machine intelligence from CVSSP, followed by research roles on the EPSRC FACER2VM programme, and progressed from research fellow to senior lecturer before moving into his current professorship. His expertise spans face analysis, pattern recognition and ML methods, informed by international collaboration including a visiting stint at Fraunhofer IOSB. Known for translating rigorous research into teaching and supervised projects, he has a consistent track record of mentoring students and driving funded research. Based in Wuxi, he combines strong mathematical foundations (BSc Mathematics, MSc Computer Science) with practical experience in building vision systems. Colleagues describe him as a methodical researcher who values reproducible results and real-world impact beyond publications.
9 years of coding experience
Master of Science - MSc Computer Science, Master of Science - MSc Computer Science at Jiangnan University
PhD Pattern Recognition and Machine Intelligence, PhD Pattern Recognition and Machine Intelligence at University of Surrey