Behzad Bozorgtabar

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About Me
I'm a senior scientist and lecturer at the Signal Processing Lab (LTS5) at the École Polytechnique Fédérale de Lausanne (EPFL), with a joint affiliation with the Department of Radiology at the Lausanne University Hospital (CHUV) in Lausanne, Switzerland. At the EPFL-LTS5, I am the computer vision team leader for the medical imaging group. I am a member of the European Lab for Learning & Intelligent Systems (ELLIS) and contribute to EPFL’s ELLIS Unit.

I lead a dynamic team of Ph.D. and Master's students, developing state-of-the-art methodologies in computer vision, machine learning, and medical image analysis. I have authored peer-reviewed publications in top-tier conferences and journals, including ICLR, CVPR, and ICCV. My leadership roles include serving as an Area Chair for CVPR and as a member of the editorial boards for several prominent computer vision journals. I have a proven track record in securing competitive research funding from organizations such as the PHRT and the Swiss Cancer League. Additionally, I successfully led large-scale initiatives, such as serving as the EPFL team leader for the European Horizon 2020 project ADAS&ME, showcasing my ability to manage complex, multidisciplinary collaborations focused on safe and responsible AI applications.



EPFL STI IEL LTS5
ELD 231 (Bâtiment ELD)
Station 11
1015 Lausanne

Web site:  Web site:  https://lts5www.epfl.ch/

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Administrative data

Fields of expertise

My principal research area lies at the intersection of computer vision, medical image analysis, and machine learning. I specialize in self-supervised learning, test-time adaptation techniques, and multimodal foundation models, aiming to create robust AI systems capable of adapting to changing environments and data distributions, enhancing decision-making in dynamic settings. My work ultimately strives to bridge the gap between cutting-edge machine learning techniques and their ethical and impactful deployment in real-world applications.

Awards

IEEE TMI Distinguished Reviewer Award

First Runner-up Award- AIMIA Workshop, ECCV

Elected Member - European Lab for Learning & Intelligent Systems (ELLIS)

IBM Research Division Image Award

IBM Patent Award

Imagine Cup, Australian Finals, Microsoft

Publications

Other publications

Teaching & PhD

Teaching

Electrical and Electronics Engineering

Courses

Image analysis and pattern recognition

This course gives an introduction to the main methods of image analysis and pattern recognition.