Amir Atapour Abarghouei
Assistant Professor
Department of Computer ScienceDurham University
Durham, DH1 3LE
United Kingdom
Amir Atapour-Abarghouei is currently an Assistant Professor within the VIViD Research Group (Vision, Imaging and Visualisation in Durham) in the Department of Computer Science at Durham University in the UK.
He has previously worked as a Lecturer in Computer Science the School of Computing Science at Newcastle University in the UK. He received his Ph.D. degree from the Department of Computer Science at Durham University (UK). He received his M.Sc. degree from the Department of Computer Science at Universiti Teknologi Malaysia (Malaysia) in 2010 and his B.Sc. degree from the Department of Computer Engineering at Shahid Bahonar University of Kerman (Iran) in 2008.
His primary research is currently focused on machine learning, deep learning, computer vision, image processing, 3D scene analysis, semantic and geometric scene understanding, scene depth prediction and natural language processing, but he has a background in various areas of computing, such as artificial intelligence, stochastic search methods and combinatorial optimisation. His work includes the generalised high-impact GANomaly anomaly detection approach, which is now a part of Intel’s AI product line and used as the underlying method for anomaly detection in numerous international patents. Amir has co-organised the CVPR-NAS workshop as well as workshops at IEEE Conf. BigData (BDA4CID and BDA4HM).
