Prof Qian Ding earned a BS degree in Engineering Mechanics from Xi’an Jiao Tong University in 1983, a MS and a PhD in Dynamics and Control from Tianjin University in 1994 and 1997. In 1997, he joined the Department of Mechanics at Tianjin University, was promoted to Associate Professor in 1998 and to Professor in 2004 and served as the head of the Department of Mechanics from 2012 to 2018. Besides many other editorial experiences, he is the deputy editor-in-chief of the journal “Progress in Mechanics (力学进展)”. He is also the executive director of the Chinese Society of Theoretical and Applied Mechanics. His research interests include nonlinear vibration, data-driven multi-objective optimization, mechanical fault diagnosis and functional structural dynamics design.

Qingbo He is Professor with the School of Mechanical Engineering, Shanghai Jiao Tong University, China. His research interests include a combination of vibration analysis, signal processing, and smart structures for intelligent sensing, diagnosis, and maintenance of complex machines. He has published more than 130 peer-reviewed journal papers, including Nature Communications, Matter, and IEEE Transactions. He has been selected in the list of Chinese Most Cited Researchers by Elsevier since 2020. He is a recipient of multiple honors and awards, including National Young Professionals in China, Shanghai Outstanding Academic Leaders, the Best Paper Award from several international conferences. He is an Associate Editor of Frontiers in Physics. He is an IEEE Senior Member and serves as Chair of Nanjing/Shanghai/Wuhan Joint Section Chapter of IEEE Instrumentation and Measurement Society.

Cai Baoping, Dean, Professor, and Ph.D. Supervisor of the College of Mechanical and Electrical Engineering at China University of Petroleum (East China), the recipient of the National Science Fund for Distinguished Young Scholars, Distinguished Young Scholar of Shandong Province, Taishan Scholar of Shandong Province, and Hong Kong Scholar. He has been selected into the top 2% of scientists in the world for 4 consecutive years. In recent years, he has led 4 projects funded by the National Natural Science Foundation of China, including 1 for Distinguished Young Scholars, 2 general projects, and 1 for young researchers. Additionally, he has led 1 project and 3 special topics of National Key Research and Development Program, 1 sub-project of the National 863 Program, 2 special projects of the Ministry of Industry and Information Technology for high-tech ship research, and over 10 provincial and ministerial-level projects.

Dr Ouyang received BEng and MEng in Engineering Mechanics in 1982 and 1985, respectively, and PhD in Structural Engineering in 1989, at Dalian University of Technology, China. He was a full Professor at the School of Engineering in the University of Liverpool and the Head of the Dynamics and Control Group, until June 2023, and retains an honorary professorship there. He is now a professor in the School of Mechanical Engineering, Southwest Jiao Tong University, China. Dr Ouyang is a Fellow of Institute of Physics and a Fellow of Higher Education Academy. 

Gang Niu is a professor of the Institute of Rail Transit at Tongji University. He has been engaged in research on the fault evolution dynamics of transportation equipment, intelligent perception and information extraction, fault diagnosis, prognostics and health management. He has published two academic monographs in English as the sole author, and has published more than 150 academic papers as the first author and corresponding author. He has applied for and authorized more than 20 patents. He currently serves as the deputy editor of the Journal of Mechanical Engineering Science (Proc. IMechE, Part C), the editor member of the AMCS journal, and the Chinese Journal of Scientific Instrument, a standing director of the Dynamic Signal Analysis Committee of the Chinese Society of Vibration Engineering, a committee  member of the SAFEPROCESS Committee of the China Automation Society, he is also the senior member of IEEE/CAA/CSVE, and the STP member of the IEEE1431.1 and UL4600 international standard. 

Gang Yu, an Associate Professor at the School of Automation and Electrical Engineering, Jinan University, specializes in data processing and nonlinear signal analysis. He has developed multiple data processing algorithms for applications, such as ‘Synchroextracting Transform’ and ‘Multisynchrosqueezing Transform’. These research outcomes have found direct applications in more than twenty research areas and directions, including mechanical fault diagnosis, radar technology, biomedical sciences, energy systems, automatic control, and manufacturing. 

Youqing Wang (IET Fellow) received the B.S. degree from Shandong University, Jinan, Shandong, China, in 2003, and Ph.D. degree in Control Science and Engineering from Tsinghua University, Beijing, China, in 2008. From 2006 to 2007, he was a Research Assistant at Hong Kong University of Science and Technology, Hong Kong. From 2008 to 2010, he was a Senior Investigator at University of California, Santa Barbara, CA, USA. In 2015, he worked at University of Alberta in Edmonton, AB, Canada, as a Visiting Professor. He is currently the dean and professor of the College of Information Science and Technology, Beijing University of Chemical Technology. He considers learning control, state monitoring, and artificial intelligence as the key techniques to improve the safety and reliability of complex systems.

Dong Zhen received his PhD degree in School of Computing and Engineering, from University of Huddersfield, United Kingdom, in 2012. He is currently a Professor with Hebei University of Technology.

His research interests include mechanical system fault diagnosis and condition monitoring, vibration and noise signal processing, mechanical fault feature extraction and pattern recognition, wind turbine fault diagnosis and condition monitoring technology. He has published more than 100 papers, most of which have been indexed by SCI, EI or ISTP. He has hosted 3 national-level projects, 5 provincial-level projects, and more than 10 industrial projects.

Shixi Yang is a Professor at School of Mechanical Engineering, Zhejiang University, China. He has been engaged in teaching and research on condition monitoring and fault diagnosis, non-destructive testing and signal processing. He pursues both basic and applied research and has led many national projects. He carried out projects leading to solutions for various industrial problems related to the condition monitoring and fault diagnosis of the steam turbine, gas turbine, wind turbine and other turbomachinery. He has published over 200 journal papers and authorized more than 50 patents. His research outcomes have been honored the Science and Technology Progress Award of Zhejiang Province. 

Chuang Sun, received the Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014. From Mar. 2015 to Mar. 2016, he was a postdoc at Case Western Reserve University, USA. He is now a Professor in School of Mechanical Engineering at Xi’an Jiaotong University.

His research is focused on manifold learning, deep learning, sparse representation, mechanical fault diagnosis and prognosis, remaining useful life prediction.

Professor Yuchun Xu is the Chair in Manufacturing, Director of Smart and Sustainable Manufacturing Research Centre (SMRC) at Aston University, Birmingham, United Kingdom. His research lies in the areas of Smart Manufacturing, Remanufacturing, Life Cycle Engineering and Circular Economy. Prof Xu’s research is sponsored by EPSRC, Innovate UK and Horizon EU/2000, and EU FP7 Programmes etc. His research is primarily focused on developing digital solutions to address sustainability challenges and facilitating the digital and green transition of industry and society. His research spans full product life cycle, including design, development, manufacturing, maintenance, remanufacturing/life extension, and recycle/disposal.

Wade Smith is a Senior Lecturer at UNSW Sydney. Dr Smith studied for his Bachelor (2005) and PhD (2009) degrees in Mechanical Engineering at the University of Technology, Sydney, and in late 2011 he joined Professor Bob Randall’s machine condition monitoring group at UNSW as a post-doctoral fellow. Since then, his research has focused mainly on vibration-based machine diagnostics and prognostics, in particular of gears and bearings. His current research interests include aircraft engine bearing diagnostics – a project with French aerospace company Safran – and gear diagnostics using vibration and transmission error. 

Prof.  Jyoti K. Sinha is Programme Director of Reliability Engineering and Asset Management (REAM) MSc course, and Head, Dynamics Laboratory, School of Engineering, The University of Manchester, UK.

Prof. Sinha is an internationally well-known expert in Vibration-based Condition Monitoring and Maintenance of Machines and Structures. Prof. Sinha is listed in the Subject-wise ranking of top 2% scientist in 2020, 2021, 2022 and 2023 (4 times in row) compiled based on an independent study done by Stanford University.