Research Scientist Wencheng Wu’s fields of expertise include video processing, computer vision, machine learning, image processing (specialized in defect detection), simulation/modeling, and psychophysical assessment. His current interest lies in applying and advancing computer vision and machine learning for various applications such as Transportation and HealthCare. At University of Rochester he has responsibility for projects in the Rochester Data Science Consortium, which is focused on advancing regional economic development and supports a range of partnerships with industry in areas of data science research, training, technology development and access to research computing expertise and resources.
Prior to join University of Rochester, Wencheng worked at PARC, where he was a key technical contributor on two computer vision research projects: rail road image defect detection and printer defect diagnostics. Prior to that he spent 17 years at Xerox/PARC/Conduent where he worked on image quality metric developments, printer and sensor characterizations, image simulation and color modeling, color consistency measurement, image processing algorithms for defect detection, video processing and analytics for transportation and retail domains.
Dr. Wu received his Ph.D. in Electrical Engineering from Purdue University, Indiana. He holds 117 patents, has 32 patents pending, and has published a book chapter and 35 conference / journal papers. He is a senior member of IEEE.