Shadi Albarqouni

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Technische Universität München

Shadi Albarqouni is an AI Young Investigator Group Leader at Helmholtz AI and TUM Junior Fellow at TU Munich. 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 has more than 100 publications (Citations > 2500, h-index: 16) in Medical Imaging Computing, Computer Vision, and Machine Learning published in MedIA, IEEE TMI, IEEE JBHI, IPMI, MICCAI, MIDL, ISBI, ICCV, ECCV, BMVC, and ICML. He serves as a reviewer for many journals such as MedIA, IEEE TMI, IEEE JBHI, IEEE TPAMI, and Nature Communication. Shadi has served as a PC and OC member for a couple of MICCAI and NeurIPS workshops. Since 2019, he has been serving as an Area Chair at MICCAI. His current research interests include Interpretable ML, Robustness, Uncertainty quantification, and recently Federated Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical Solutions, in particular, knowledge transfer to developing and emerging countries. 

Details can be found here: https://albarqouni.github.io/ 

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