Amir Atapour-Abarghouei is an Associate Professor in the Department of Computer Science at Durham University and Co-Director of the Wolfson Research Institute for Health and Wellbeing, working on dependable computer vision and machine learning that operate robustly outside the lab, with applications spanning biodiversity monitoring, precision agriculture and pollinator health, public health and vector surveillance, trustworthy medical imaging, security/surveillance and sustainable transport. Methodologically, his group advances efficiency of learning, applications of computer vision and deep learning in robotics, robustness under distribution shift (domain adaptation, multi-task learning, label-efficient training), bias-aware medical AI, and perception in difficult sensing regimes (thermal/infrared, panoramic/360°), with open field-ready pipelines. His work also focuses on semi-supervised anomaly/rare-event detection with his GANomaly/Skip-GANomaly approaches having been adopted in Intel OpenVINO/GETI product line and cited by 40+ patents as the underlying anomaly detection method. He serves as Associate Editor for IEEE Transactions on Cognitive and Developmental Systems, Area Chair for BMVC and IROS, co-organiser of the CVPR NAS workshop, Chair of the BMVA Computer Vision Summer School at Durham and a member of the BMVA Executive Committee.