Dr. Sotirios (Sotos) Tsaftaris received the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Northwestern University, USA, in 2003 and 2006, respectively. He is currently a Chancellor's Fellow (at a Senior Lecturer level) at the University of Edinburgh. Previously he was on the faculty of Northwestern University, USA and IMT Lucca, Italy. He has published extensively, particularly in interdisciplinary ﬁelds, with more than 100 journal and conference papers in his active record. His research interests are machine learning, computer vision, image analysis, image processing, and distributed computing.
Sotirios is interested in machine learning methods that work with multimodal input sources arising in medical imaging (health & wellbeing) applications where multiple information sources are used. Merging information across different sources should allow us to better characterise disease and its evolution. Since key to this is our ability to learn appropriate multimodal representation spaces, representation learning is an important aspect of my research. His team work on how they can devise methods that can advantage of such diverse sources whilst learning such spaces. Equally interesting is the ability to transfer these methods to new data sources (transfer learning) and even new tasks (multitask learning). Recent successes include deep learning models that use multimodal sources for image synthesis and biomarker discovery.