Since 2020, Albarqouni has been working as an AI junior research group leader at Helmholtz AI, Munich. His research focuses on the development of AI models in medicine, interpretable deep learning, robustness, uncertainty quantification, and federated learning. One focus of his research is the development of innovative Deep-Federated Learning algorithms that can distill and share knowledge from AI clients, e.g. hospitals, in a robust and privacy-compliant way. He is also very interested in translational topics, especially in the area of startups for innovative medical solutions with limited resources.
Albarqouni earned his bachelor's and master's degrees in electrical engineering from IU Gaza, Palestine, in 2005 and 2010, respectively. Before receiving his summa cum laude PhD in computer science in 2017, he worked as a Senior Research Scientist & Team Lead at CAMP and led the Medical Image Analysis (MedIA) at the Technical University of Munich. Together with his team, he investigated the typical challenges of medical data, such as heterogeneity, strong class inequality, small amounts of annotated data, variability between or within scanners, and inconsistencies between or within observers. Two years later, Albarqouni was awarded the prestigious P.R.I.M.E. fellowship for a year, during which he gained international experience at both the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich in Switzerland and the Department of Computing at Imperial College London in the United Kingdom.
Albarqouni has published more than 100 publications (citations > 4100, h-index: 21) in the areas of medical imaging computing, computer vision, and machine learning. Albarqouni actively serves the research community as a reviewer, session chair, division chair, program committee member, organizing committee member, and program co-chair at international conferences such as MICCAI, MIDL, and ISBI. Due to his outstanding achievements, Albarqouni was elected as a member of the European Lab for Learning and Intelligent Systems (ELLIS) and the Arab-German Young Academy (AGYA). Recently, he served as program co-chair at MIDL'22 in Switzerland, organizing committee member at ISBI'22 in India and MICCAI'24 in Morocco.
If you are interested in working with Prof. Dr. Albarqouni, please contact him via his email address:
shadi.albarqouni@ukbonn.de.
You can find more projects here https://albarqouni.github.io/
With Professor Albarqouni we have succeeded in attracting a truly outstanding young and internationally renowned scientist in the field of image analysis to Bonn, who will significantly strengthen us in the field of computational medicine at the interface of medicine, mathematics and computer science. We are very pleased about the appointment and wish him a good start in Bonn.