Lecturer (Assistant Professor), Department of Computer Science, University of Exeter, United Kingdom

Honorary Lecturer, Department of Computer Science, University College London, United Kingdom

Ahmed Karam Eldaly achieved a first in class Honours degree in Biomedical Engineering from Helwan University in Egypt. Subsequently, he obtained an Erasmus Mundus joint Masters degree in Computer Vision and Robotics (VIBOT) from Universite de Bourgogne in France, Universitat de Girona in Spain, and Heriot-Watt University (HWU) in the UK. This programme was funded by the European Commission, and he completed it with a Distinction in 2015. In October 2018, he was awarded the PhD in Electrical, Electronic and Computer Engineering jointly with School of Engineering, HWU, and The Queens Medical Research Institute, The University of Edinburgh (UoE). He worked as a Research Fellow in computational imaging at HWU, UoE, and University College London (UCL). He is currently a Lecturer (Assistant Professor) in Computer Vision and AI for Health at the University of Exeter, and an Honorary Lecturer at the Department of Computer Science, UCL.

His primary research interests encompass computational imaging, machine learning, statistical signal, and image processing, with a particular focus on Bayesian inference, hierarchical models, Markov chain Monte Carlo methods, convex optimization, and sparse representation, applied in inverse problems, and uncertainty quantification.