Innovation and Technology in Sports / Lecture Notes in Bioengineering (PDF)

Institute of Engineering and Technology and Senior Member if the Institute of Electrical and Electronic Engineers. His research includes algorithms for data science and analytics in healthcare. This includes areas of artificial intelligence, data mining and multidimensional signal processing. He has an applied research interest in healthcare, often utilising wearable technology for gait analysis to inform clinical practice.



Dr. Alex Casson is a Reader in the Materials, Devices and Systems division of the Department of Electrical and Electronic Engineering at the University of Manchester; Visiting Reader in the School of Medicine at the University of Leeds; Bioelectronics technology platform lead for the EPSRC Henry Royce Institute for advanced materials; and a Fellow of the Alan Turing Institute for data science and artificial intelligence. His research focuses on non-invasive bioelectronic interfaces: the design and application of wearable sensors, and skin-conformal flexible sensors, for human body monitoring and data analysis from highly artefact prone naturalistic situations

Dr Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD in Rehabilitation Robotics from the Universiti Malaysia Pahang (UMP). He is currently serving as an Associate Professor at the School of Robotics, XJTLU. Prior to joining XJTLU, he was a Senior Lecturer (Assistant Professor) and the Head of Programme (Bachelor of Manufacturing Engineering Technology (Industrial Automation)) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. He is also currently serving as an adjunct lecturer at UCSI University, Malaysia. Dr Anwar is also a Visiting Research Fellow at EUREKA Robotics Centre, Cardiff Metropolitan University, UK. His research interest includes rehabilitation sciences, computational and applied mechanics, renewable and nuclear energy, sports engineering and performance analysis, as well as the application of machine learning.