Shadi Albarqouni

 Shadi Albarqouni
  • Machine Learning

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

Membership:
since 2020

Contact

Helmholtz Center Munich and Technical University of Munich, Germany

Helmholtz AI
Helmholtz Center Munich
Ingolstädter Landstraße 1
D-85764, Neuherberg

+49 (0) 89 3187 43862
Shadi.albarqouni(at)helmholtz-muenchen.de
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About me

I am a computer scientist based at the Helmholtz Center Munich and the Technical University of Munich (TUM). I am the leader of an Artificial Intelligence Young Investigator Group at Helmholtz AI and a TUM Junior Fellow at the Faculty of Informatics and TUM School of Medicine. 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
2020 - today AI Young Investigator Group Leader, Helmholtz AI, Helmholtz Center Munich, Germany
2020 - today Junior Fellow, Faculty of Informatics and TUM School of Medicine, Technical University of Munich, Germany
2020 Visiting Scientist, Department of Computing, Imperial College London, UK
2019 - 2020 Visiting Scientist, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
2017 - 2020 Senior Research Scientist and Team Lead, Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
2017 Ph.D. in Computer Science, Technical University of Munich, Germany
2013 - 2017 Visiting Researcher, German Center for Neurodegenerative Diseases (DZNE), Germany
2013 - 2017 Research Scientist and Team Lead, Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
2012 Research Grant for Doctoral Candidates and Young Academics and Scientists, German Academic Exchange Services (DAAD)
2011 -  2012 Part-time Lecturer, Electrical and Computer Engineering Department, Islamic University of Gaza, Palestine
2010 M.Sc. in Electrical Engineering, Islamic University of Gaza, Palestine
My Commitment to AGYA
Member in Charge of the Working Group Health and Society
Task Force 'New AGYA Members' (2021)

On a personal note

Must read in my discipline:
LeCun, Y., Bengio, Y. and Hinton, G. (2015). ‘Deep learning’. Nature 521(7553), pp.436–444.