Proceedings of the 4th International Conference on Innovation and Technology in Sports : ICITS 2025, 30th September - 2nd October, Kuala Lumpur, Malaysia

This book includes peer reviewed articles from the 4th International Conference on Innovation and Technology in Sports ICITS 2025 held in conjunction with the ASEAN Symposium in Sports Innovation 2025 that comprehensively includes diverse technological facets within the realm of Sports Engineering and Technology. It presents cutting-edge research and technological advancements in sports science, engineering, and innovation. Topics covered include sports biomechanics, performance analytics, wearable technology, sports medicine, artificial intelligence in sports, data science applications, equipment design, and emerging technologies shaping the future of athletic performance. This collection represents the latest developments in sports technology with particular focus on innovations relevant to the ASEAN sports industry and their global applications. This book serves as an essential reference for researchers, engineers, sports scientists, technology developers, and industry professionals seeking to understand current trends and future directions in sports innovation and technology.

Dr. Muhammad Amirul Abdullah is a researcher at the Innovative Manufacturing, Mechatronics & Sports (iMAMS) Laboratory, under the Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). He obtained both his bachelor’s degree and master’s degree in Mechatronics Engineering from the International Islamic University Malaysia (IIUM). He later pursued and completed his Ph.D. in Mechatronics Engineering at UMPSA, with his doctoral research focused on the application of machine learning architectures in sports-related technologies. His research interests include machine learning, robotics, control and automation, and sports engineering. His work bridges artificial intelligence and mechatronic systems to improve sports performance analysis, assistive technologies, and automation solutions.

Dr. Rabiu Muazu Musa holds a Ph.D. degree in Sports Science from Universiti Sultan Zainal Abidin (UniSZA), Malaysia. He obtained his M.Sc. in Sports Science from UniSZA and his B.Sc. in Physical and Health Education at Bayero University Kano, Nigeria. His research activity focused on the development of multivariate and machine learning models for athletic performance. His research interests include sports performance analysis, health promotion, sport and exercise science, talent identification, test, and measurement as well as machine learning in sports.

Syed Faris Syed Omar is currently the Head of ISN Tech responsible for R&D, innovation and commercialization of sports technology at the National Sports Institute of Malaysia (ISN). Syed Faris received his degree in Mechanical Engineering from University Technology of Malaysia (UTM). He worked at DAG Technologies, a private company providing engineering solutions for automotive and aerospace industry in Malaysia. His interests are in the area of sports technology equipment and system development for real world application.

Sulaf Assi is a reader in intelligent forensic data analysis at Liverpool John Moores University. Her research interests spread across multidisciplinary and interdisciplinary areas related to medication safety; patient safety; counterfeit medicines, drugs and lifestyle products; spectroscopy; mixed-method research and machine learning.

Dr. Pengcheng Liu is an associate professor in the Department of Computer Science at the University of York, UK, with extensive international academic experience. Prior to his current position, he held roles as a senior lecturer at Cardiff School of Technologies, Cardiff Metropolitan University, and a joint research fellowship at Lincoln Centre for Autonomous Systems and Lincoln Institute of Agri-Food Technology at the University of Lincoln. His academic journey also includes positions at Bournemouth University, Zhongyuan Universityof Technology in China, and visiting fellowships at the Institute of Automation, Chinese Academy of Sciences, and Shanghai Jiao Tong University.

Dr. Anwar P.P. Abdul Majeed is an associate professor and the head of department at the Department of Data Science and Artificial Intelligence at Sunway University. He obtained his Ph.D. in Rehabilitation Robotics from Universiti Malaysia Pahang (UMP). Prior to his current position, he served as an associate professor at the School of Robotics, Xi'an Jiaotong Liverpool University, and previously held roles as a senior lecturer and the head of program for Bachelor of Manufacturing Engineering Technology (Industrial Automation) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. As a Chartered Engineer registered with the Institute of Mechanical Engineers (IMechE), UK, he is also a member of the Institute of Engineering and Technology (IET), UK, and a senior member of IEEE. His research encompasses rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis, and machine learning applications across various domains.