Academic Profile : Faculty
Prof Chen Chun-Hsien
Professor, School of Mechanical & Aerospace Engineering
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Chun-Hsien CHEN is Associate Professor (tenured), Director of the Design Stream, and Professor-in-Charge of the Design & Human Factors Lab in the School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore. He received his BS degree in Industrial Design from National Cheng Kung University, Taiwan, MS and Ph.D. degrees in Industrial Engineering from the University of Missouri-Columbia, USA. He has several years of product design & development experience in the industry.
His teaching and research interests are design science in product design and development; engineering/design informatics for managing/supporting digital design & manufacturing; and human factors and management of human performance. He has more than 250 publications in these areas. Prof. Chen has served as a Technical Reviewer for National Science and Technology Awards (Singapore), National Research Foundation of Korea, The Knowledge Foundation (KK) HÖG 16 Project, Sweden, and a Judge for Pin Up Design Awards (South Korea), an Advisory Board member for ISTE (International Society of Transdisciplinary Engineering), an Advisory Committee member for the various international conferences held in USA, Europe, Brazil, China, Korea, Malaysia, Hong Kong and Taiwan.
Prof. Chen has been appointed as Editor-in-Chief of Advanced Engineering Informatics (ADVEI), a SCI journal published by Elsevier (UK), since January 2013. Besides ADVEI, he is/was an editorial board member of Recent Patents on Engineering, Journal of Kansei, Heliyon, etc. He is/was a Shanghai Eastern Scholar (2011 – 2014), a Guest Professor of Tianjin University (since 2013), a Visiting Professor of National Cheng Kung University (2011), a Guest Professor of Shanghai Maritime University (since 2006), and Chaoyang University of Technology (2008 – 2010).
His teaching and research interests are design science in product design and development; engineering/design informatics for managing/supporting digital design & manufacturing; and human factors and management of human performance. He has more than 250 publications in these areas. Prof. Chen has served as a Technical Reviewer for National Science and Technology Awards (Singapore), National Research Foundation of Korea, The Knowledge Foundation (KK) HÖG 16 Project, Sweden, and a Judge for Pin Up Design Awards (South Korea), an Advisory Board member for ISTE (International Society of Transdisciplinary Engineering), an Advisory Committee member for the various international conferences held in USA, Europe, Brazil, China, Korea, Malaysia, Hong Kong and Taiwan.
Prof. Chen has been appointed as Editor-in-Chief of Advanced Engineering Informatics (ADVEI), a SCI journal published by Elsevier (UK), since January 2013. Besides ADVEI, he is/was an editorial board member of Recent Patents on Engineering, Journal of Kansei, Heliyon, etc. He is/was a Shanghai Eastern Scholar (2011 – 2014), a Guest Professor of Tianjin University (since 2013), a Visiting Professor of National Cheng Kung University (2011), a Guest Professor of Shanghai Maritime University (since 2006), and Chaoyang University of Technology (2008 – 2010).
Assoc Prof Chen Chun-Hsien's areas of expertise are Industrial/Product Design, Knowledge Engineering, and Decision Support Systems. His current research work focuses on collaborative/human-centric/consumer-oriented product design and development, knowledge management, human factors, decision support systems and artificial intelligence in product/engineering design.
- AI-ATCO Trust & Human Factor
- Human Factors Based Technology for Enhancing Operators' Competency and Evaluating System/Operation Usability (Wolfgang Mueller-Wittig)
- Future Airspace Architecture Fostering Human-AI Hybrid Automation to Cater to Future Air Traffic Demand
- Human Factors Based Technology for Enhancing Operators' Competency and Evaluating System/Operation Usability (Chen Chun-Hsien)
- Human Factors Based Technology for Enhancing Operators' Competency and Evaluating System/Operation Usability