Abstract: |
This seminar covers introduction of research and education in Department of Computing and Mathematics, Manchester Metropolitan University, UK. It provides a pathway for potential research and education collaboration. Prof. Yap will share her research from conceptual foundation and procedures used in the development of medical and computer vision datasets over the past decade, with a timeline to demonstrate progress. It covers data capturing methods, an overview of research in developing private and public datasets, the related computer vision tasks (the facial micro-expressions challenges and the diabetic foot ulcer challenges) and the future direction of the development of her research. As leading institution and investigator in these fields, her aim is to share the technical challenges that we encountered together with good practices in datasets development, and provide motivation for other researchers to participate in data sharing in this domain. Future research involves call for effort in establishing international consortium to form international repository of medical imaging datasets. For more details, please refer to: https://dfu-challenge.github.io/ (DFU challenges) https://megc2023.github.io/ (Facial micro-expressions Challenges) |
Biography: |
| Prof. Moi Hoon Yap is the Research Lead of Department of Computing and Mathematics, Manchester Metropolitan University, UK. Her leadership in both research and education have attracted international students and research collaborations. She is the lead of Human-Centred Computing Group (20 staff members and 12 research scholars) and with expertise in computer vision and deep learning. As the holder of The Royal Society Industry Fellowship (2016-2022), hosted by Image Metrics Ltd, her research is driven by industrial needs. In addition, her research provides new insights and breakthrough for medical image analysis and facial analysis. Moi Hoon has received research funding from The Royal Society, EU Funding, EPSRC, Innovate UK, Cancer Research UK, and industry partners. She serves as the Associate Editor of the Journal of Computers and Programs in Biomedicine and panel member of UK funding bodies. She is leading the technology development for multiple computer vision projects, created novel datasets for reproducible research and conducted international computer vision challenges. |