Prof. Hiroharu Kawanaka (Mie University, Japan)
Prof. Hiroharu Kawanaka received a Dr. Eng. degree from Mie University Graduate School of Engineering in 2004. After graduation, he established a company to develop a clinical DWH system and worked for the company as a director from until 2021. He received a Ph.D. in Medical Science from Mie University in 2009. His current research topics are medical informatics, medical imaging, image recognition, welfare information systems, ergonomics, evolutionary computations, and their application.
Dr. Yulia Hicks (Cardiff University, United Kingdom)
Dr. Yulia Hicks is a Senior Lecturer in Computer Vision and Machine Learning. She completed my PhD in Computer Vision and Machine Learning at Cardiff University. She have extensive expertise in motion capture and tracking of human motion, statistical motion and behaviour modelling, pattern recognition, and multi-modal signal processing with particular application to medical problems. She is a Co-Chair of the IROHMS Working Group on Ethical and Explainable AI, and a Co-Director of the Human Factors Technology Lab – an interdisciplinary research lab between the Schools of Engineering, Computer Science and Psychology.
Dr. Mohamed Bennasar (The Open University, United Kingdom)
Dr. Mohammed Bennasar received a Ph.D. degree in Knowledge Engineering from Cardiff University in 2014. After graduation, he worked for Cardiff University as a lab demonstrator and reserach associte. He is now a lecturer in computing and communications at The Open University, UK. His research area is Knowlege Engineering inc. Artificial Intelligence, Machine Learning for real world problems.
Prof. Rossi Setchi (Cardiff University, United Kingdom)
Professor Rossi Setchi is Fellow of the Learned Society of Wales and Professor of High-Value Manufacturing at the School of Engineering. She is Director of the Research Centre in AI, Robotics and Human-Machine Systems (IROHMS) and Co-Director of the Centre for Advanced Manufacturing Systems at Cardiff (CAMSAC). Rossi has a distinguished track record of research in a range of areas including AI, robotics, systems engineering, additive manufacturing, industrial sustainability, Cyber-Physical Systems and Industry 4.0, and, in particular, has built an international reputation for excellence in knowledge-driven symbolic AI, computational semantics and human-machine systems.