Prof Tim Cootes | University of Manchester
After completing a degree in Mathematics and Physics at Exeter, Tim Cootes did a PhD in Civil Engineering, monitoring a storm sewer overflow in Sheffield. During this project he was introduced to the delights of computer vision, and shortly after completing it, he took up a research position at the University of Manchester. He has remained there ever since.
His research has focused on statistical models of shape and appearance, and how they can be used to understand variations across populations and to locate structures in new images.
The algorithms that he and colleagues invented have been adopted world-wide, and applied to many different application areas, including interpreting images of faces and medical image analysis. Tim was appointed as a lecturer at the University in 2001, and eventually became a Professor of Computer Vision in 2006.
He has been involved in a range of activities to translate research into real-world solutions. His current focus is on applications of the technology in the musculoskeletal domain, particularly looking at diseases such as osteoarthritis and osteoporosis.
Prof Greg Slabaugh | Queen Mary University of London
Greg Slabaugh is Professor of Computer Vision and AI in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He is Director of Queen Mary's Digital Environment Research Institute, a multi-disciplinary research institute focussing on research in digital and data science. He is also Queen Mary's Turing University Lead at the Alan Turing Institute. He researches machine and deep learning approaches with application to medical image computing and computational photography. He has substantial industrial experience, with previous appointments at Huawei, Medicsight, and Siemens. At Medicsight he led the research and development of ColonCAD, a CE-marked and FDA-cleared system for detection of pre-cancerous colorectal lesions imaged with CT. At Siemens he produced the default ultrasound image enhancement algorithm commercialised in several ultrasound platforms; and developed 3D computer-aided design methods for hearing aid shape processing. He has over 175 scientific publications in computer vision, shape analysis, and medical image computing, and 37 grant patents. Greg was a co-organiser of MIUA 2014 in London and delighted to return to the conference in 2023
Prof Michael Kampffmeyer | UiT The Arctic University of Norway
Michael Kampffmeyer is an Associate Professor and Head of the Machine Learning Group at UiT The Arctic University of Norway. He is also a Senior Research Scientist II at the Norwegian Computing Center in Oslo. His research interests include medical image analysis, explainable AI, and learning from limited labels (e.g. clustering, few/zero-shot learning, domain adaptation and self-supervised learning). Kampffmeyer received his PhD degree from UiT in 2018. He has had long-term research stays in the Machine Learning Department at Carnegie Mellon University and the Berlin Center for Machine Learning at the Technical University of Berlin. He is a general chair of the annual Northern Lights Deep Learning Conference, NLDL. For more details visit https://sites.google.com/view/michaelkampffmeyer/ .
Prof Lesley Anderson | University of Aberdeen
Professor Lesley Anderson joined the Aberdeen Centre for Health Data Science in March 2020. She trained at Queen's University Belfast (QUB) graduating with a PhD in cancer epidemiology in 2004 and an undergraduate degree (first class Honours) in Biomedical Science in 2001. She has a Masters in Population Health-based Evidence obtained by distance learning from the University of Manchester (distinction level) in 2006. Professor Anderson joined QUB as an academic in 2010 after completing two highly respected fellowships: an Academic Fellowship (funded by the UK Medical Research Council) and a Cancer Prevention Fellowship at the National Cancer Institute, National Institute of Health, Maryland, United States of America. Professor Anderson then joined the Northern Ireland Cancer Registry (NICR) part-time in 2017 as Deputy Director overseeing the production of Official Statistics for Northern Ireland and developing the NICR Research Advisory Group.
Professor Lesley Anderson has over 19 years experience in research utilising healthcare data from the United Kingdom, Ireland, USA and Europe. She has established international partnerships within the USA, Europe, Australia, Africa and Asia to facilitate research in the fields of health data science and public health with a focus on cancer research. Global Health Research Partnerships with researchers in Angola, Mongolia and Vietnam are seeking to identify ways to improve public knowledge and reduce the burden of cancer. Professor Anderson is working to improve health care through Health Data Science research.