Short Bio

Dr. Zhou joined the Department of Industrial and Manufacturing Systems Engineering, University of Michigan at Dearborn in Sept. 2017. His research focuses on physiological computing, sentiment analysis, and human factors issues in highly automated driving. Currently, He is involved in a 1) MCity project to understand the influence of various factors (traffic, age, trust, non-driving related tasks, takeover lead time, situational awareness, and warning effectiveness) on the takeover performance in highly automated driving and a 2) Dell project to understand customer needs from user-generated content from the internet using machine learning methods (e.g., sentiment analysis and topic mining). Dr. Zhou is also closely working with Professor Yang from the Ann Arbor campus and serves as the co-director of the Interaction and Collaboration Research Lab.

Prior, he was a research scientist at MediaScience. At MediaScience, he worked on various research projects to understand consumer behavior across a variety of media forms, platforms, devices, and testing scenarios to improve effectiveness, usability and user experience of the media through both self-report data and physiological and behavioral measures, such as eye tracking data, electro dermal activity, heart rate, and facial expressions.

Dr. Zhou held a Ph.D. degree in Engineering Design from the G.W. Woodruff School of Mechanical Engineering at Georgia Tech in Dec 2014 under the supervision of Dr. Roger Jiao. He conducted research on Viral Product Design for Social Network Effects. Also in 2011, Dr. Zhou held a Ph.D. degree in Human Factors Engineering from Nanyang Technological University, Singapore, and he conducted research on Affective-cognitive design of product ecosystems for user experience. He also held a bachelor's degree and a master's degree in computer engineering. Dr. Zhou has published various peer-reviewed papers in the areas of engineering design, human computer interaction, and human factors engineering (see his Google Scholar).