**About the Editors**

**Chao Huang** is currently a Research Assistant Professor in the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University. She received her bachelor's degree in control engineering from China University of Petroleum, Beijing, and her PhD from the University of Wollongong, Australia. Dr. Huang's research interests include system optimization and control, human–machine collaboration, fault diagnosis and fault tolerance, and automotive control and applications. Dr. Huang has published 33 journal papers, 20 conference papers, and 2 books.

**Haiping Du** received his PhD in mechanical design and theory from Shanghai Jiao Tong University, Shanghai, China, in 2002. He has been a Professor at the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Australia, since 2016. He is a Subject Editor of the *Journal of The Franklin Institute*, an Associate Editor of *IEEE Transactions on Industrial Electronics* and *IEEE Control Systems Society* conference, and an Editorial Board Member for some international journals, such as the *Journal of Sound and Vibration*, *IET Control Theory and Application*, *IET Intelligent Transportation Systems*, *Mechatronics*, *Advances in Mechanical Engineering*, etc. Dr. Haiping Du's research interests include vibration control, vehicle dynamics and control systems, robust control theory and engineering applications, electric vehicles, robotics and automation, and smart materials and structures.

**Yifan Zhao** is a Reader in data science in the Centre for Life-cycle Engineering and Management (CLEM) at Cranfield University and the Academic Lead of the Through-life Engineering Services lab. He has over 18 years of experience in image/signal processing, computer vision, and artificial intelligence (AI) for degradation assessment and anomaly detection for complex systems. The applications cover critical asset health monitoring for construction sites, non-destructive testing and evaluation of high-value engineering components, driver behaviour monitoring for human-driven and automated vehicles, and medical data and image processing. He received his PhD in automatic control and system engineering from the University of Sheffield, UK, in 2007. He received his BEng and MSc degrees in automatic control engineering from the Beijing Institute of Technology, China, in 2000 and 2003, respectively. He is currently the academic PI of Fuel Coach (GBP 650,000, EEF8037), funded by the Department for Business, Energy & Industrial Strategy (BEIS) to investigate how AI can help reduce fuel consumption and greenhouse gas emissions in construction sites. He was PI on two Innovate-UK-funded projects ("The Learning Camera"—104794 (GBP 275,000) and "One Source of Truth"—105881 (GBP 675,000)) to develop innovations in critical asset digitalization and monitoring for the construction sector using computer vision and AI. As PI, in 2019 he completed a GBP 250,000 Lloyd-Registration-Foundation-funded (GA/100113) project RECBIT on AI for the counterfeit detection of electronic components. He was Co-I on "Distributed Intelligent Ultrasound Imaging System for Secure in-community Diagnostics (SecureUltrasound)", funded by an EPSRC GCRF grant (EP/R013950/1, GBP 1,000,000), where he lead the work on image analysis for evaluating and improving ultrasound image quality. He was the Co-I on the GBP 1,600,000 EPSRC project CogShift (EP/N012089/1) and a followed EPSRC IAA (EP/R511511/1) project in collaboration with Jaguar Land Rover (JLR), leading the research on characterizing driver behaviour using computer vision and AI. He has produced more than 150 publications, including 110 peer-reviewed journal papers, more than 30 conference papers, 3 book chapters, and 3 patents. He has successfully supervised eight PhDs to completion and 45 MSc students. He is a fellow of the Higher Education Academy and a Senior Member of IEEE.

**Chen Lv** is currently an Assistant Professor at Nanyang Technology University, Singapore. He received his PhD from the Department of Automotive Engineering, Tsinghua University, China, in 2016. His research focuses on advanced vehicle control and intelligence, a field to which he has contributed over 100 papers and obtained 12 patents.
