People
Dr Pai ZHENG
- Assistant Professor, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University
pai.zheng@polyu.edu.hk
Dr PAI ZHENG is currently an Assistant Professor in the Department of Industrial and Systems Engineering, at the Hong Kong Polytechnic University, China. His research interest includes smart product-service systems, engineering design informatics, and digital servitization. He received his dual B.S. degrees in Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2010, the M.S. degree in Mechanical Engineering from Beihang University, Beijing, China, in 2013, and the Ph.D. degree in Mechanical Engineering at the University of Auckland, Auckland, New Zealand, in 2017. He is a member of ASME (2017- ), IEEE (2017- ), CMES (2018- ), and serves as the editorial board member for the journal of Advanced Engineering Informatics, and referee for several high impact international journals in the manufacturing/industrial engineering field.
Human Robot Collaboration
Led by Dr Carman LEE, Dr Yuk-Ming TANG & Dr Pai ZHENG, this research project uses AI assisted image recognition and statistical techniques to establish the relationships between features of non-verbal communication (facial expressions, body posture and gestures) of customers and their satisfaction with products/services. In addition, an intelligent system will be developed which users can obtain useful information such as customers’ satisfaction by their expressions, body posture and gestures as well as the online customer review.
Based on the non-verbal communication of human, the team has exploited a system of Human Robot Collaboration which demonstrates how the robotic arm assists human by a gesture. This study can help the team to get a holistic scene understanding that contributes to proactive Human-robot collaboration.
Based on the non-verbal communication of human, the team has exploited a system of Human Robot Collaboration which demonstrates how the robotic arm assists human by a gesture. This study can help the team to get a holistic scene understanding that contributes to proactive Human-robot collaboration.
Big Data Analytics for Product and Service Design
Led by Dr Carman Lee with Dr Yuk-Ming Tang & Dr Pai Zheng as Collaborating Investigators, the project utilises deep learning algorithms to investigate customers’ cognitions and emotions by analysing biometric data (facial expressions and body gestures) and establishing the relationships between these data and the customers’ preferences for different products/services. The developed technologies provide personalised product/service recommendations and insights for product/service design.