Shadi albarqouni

Biography

Shadi Albarqouni is a Professor of Computational Medical Imaging Research at the University of Bonn, and an AI Young Investigator Group Leader at Helmholtz AI. Previously, he worked as a Visiting Scientist at Imperial College London and ETH Zurich, and as a Senior Research Scientist & Team Lead at the Technical University of Munich (TUM). Shadi received his Bachelor's and Master's degrees in Electrical Engineering from IU Gaza, Palestine in 2005, and 2010, respectively. During that time, he worked on a Telemedicine project and realized the importance and the impact of Computer-Aided Diagnostic systems on healthcare services. In 2012, Shadi decided to move to Germany, particularly to The Technical University of Munich, where he worked on developing Machine learning algorithms with Medical Imaging. He tackled one of the common challenges in the medical domain which is handling limited and noisy annotated data, i.e. high inter-reader variability. His current research interests include Interpretable ML, Robustness, Uncertainty quantification, and recently Federated Learning. Shadi has more than 100 publications (Citations > 4100, h-index: 21) in Medical Imaging Computing, Computer Vision, and Machine Learning. He has been actively serving the community as a reviewer, session chair, area chair, program committee member, organizing committee member, and Program co-Chair at many international conferences, e.g. MICCAI, MIDL, and ISBI. He received a couple of awards and fellowships during his academic career, e.g. the DAAD PRIME Fellowship for International mobility, Helmholtz Young Investigator Group, among others.