Shadi Albarqouni

 Shadi Albarqouni
  • Computer Sciences

Areas of Expertise:
Medical imaging with deep learning; Computer vision; Uncertainty quantification; Low-data regime; Machine learning; Active learning; Federated learning

since 2020


University of Bonn, Germany

University Hospital Bonn
Venusberg Campus 1
D-53127, Bonn

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About me

I am a Professor of Computational Medical Imaging Research at University of Bonn and AI Group Leader at the Helmholtz Center Munich. In the last few years, I have been leading a team of PhD students working on developing machine learning algorithms for clinical applications to mitigate the challenges in medical imaging. In the future, I will be working on developing innovative deep federated learning algorithms. My goal is to develop algorithms that are capable of distilling and sharing knowledge among AI agents in a robust and privacy-preserving way.

AGYA offers me incredible opportunities for interdisciplinary research collaboration.

These collaborations can help to improve the application of AI in healthcare. The bilateral exchange, joint workshops and capacity-building seminars help me to transfer my knowledge and develop affordable AI solutions for healthcare in Arab countries and Germany.

Academic career
2022 - todayProfessor of Computational Medical Imaging Research, Faculty of Medicine, University of Bonn, Germany
2020 - todayAI Young Investigator Group Leader, Helmholtz AI, Helmholtz Center Munich, Germany
2020 - todayAffiliated Research Scientist, Faculty of Informatics and TUM School of Medicine, Technical University of Munich, Germany
2020Visiting Scientist, Department of Computing, Imperial College London, UK
2019 - 2020Visiting Scientist, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
2017 - 2020Senior Research Scientist and Team Lead, Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
2017Ph.D. in Computer Science, Technical University of Munich, Germany
2013 - 2017Visiting Researcher, German Center for Neurodegenerative Diseases (DZNE), Germany
2013 - 2017Research Scientist and Team Lead, Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
2012Research Grant for Doctoral Candidates and Young Academics and Scientists, German Academic Exchange Services (DAAD)
2011 -  2012Part-time Lecturer, Electrical and Computer Engineering Department, Islamic University of Gaza, Palestine
2010M.Sc. in Electrical Engineering, Islamic University of Gaza, Palestine
My Commitment to AGYA
Member in Charge of the Working Group Innovation
Task Force 'Good Research Practices' (2022)
Nomination Committee ‘New AGYA Members’ (2021)
Former Member of the AGYA Steering Committee (2022-2023)

On a personal note

Must read in my discipline:
Deep Learning by Yann LeCun, Yoshua Bengio & Geoffrey Hinton