Associate Professor

Remco Duits

Department
Mathematics and Computer Science
Group
Mathematical Image Analysis
Center for Analysis, Scientific Computing & Appl.
EAISI Health
EAISI Foundational
Geometric Learning & Differential Geometry

RESEARCH PROFILE

Remco Duits is an Associate Professor at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e). He is also affiliated to the TU/e biomedical engineering department medical image analysis (IMAG/e) where he applies his theory to medical imaging applications. Areas of expertise incluce mathematics, medical image analysis, differential geometry, Lie group analysis and numerical analysis. His research interests encompass group theory, functional analysis, differential geometry, PDE’s, harmonic analysis, geometric control and their applications to biomedical imaging and vision. Current research projects include a new retinal vessel tracking method based on orientation scores, Lie Group Analysis for Medical Image Processing and analysis of cardiac motion and strain patterns from Magnetic Resonance Imaging and Ultrasound Imaging to identify disease and its location.

ACADEMIC BACKGROUND

Remco Duits received his MSc degree (with honors) in Mathematics in 2001 at the TU/e, where he also received his PhD (with honors) at the Department of Biomedical Engineering. Now he is associate professor at the Department of Applied Mathematics & Computer Science. Remco has organized and chaired three international workshops held at Eurandom TU/e intended for both mathematicians (probability theory, harmonic analysis and statistics) and mathematically inclined engineers (statistics and imaging). He has organized various large conferences (NMC, 4TU-AMI annual congress: Mathematics for Deep Learning) and colloquiua and serves in many program committees, such as the international conferences on scale space and variational methods (SSVM), and Geometric Science of Information (GSI). He coordinates the Department's 5 year Research Assessment and acts as editor for JMIV, where has also led a special issue on Differential Geometry and Orientation Analysis in Image Processing. He has been scientific reviewer for research proposals in the European Union and the Netherlands, conference proceedings and related books, and journals such as JMIV, IJCV, PAMI, MEDIA, Journal of Physiology, SIAM Journal on Imaging Science, and IEEE-journal TMI. He is a board member of the bi-annual congress SSVM. He received several best paper and poster awards, and a Philips Impact award.  He has a strong background in analysis. differential geometry, Lie group theory, PDEs, mathematical and medical image analysis, and his current main interest are Differential Geometry and Geometric Deep Learning.  He has recieved two prestigious personal grants: an ERC-StG grant (2014, 1.3 MEuro) "Lie Group Analysis for Medical Image Processing" and a VICI grant (2021, 1.5 MEuro) "Geometric Learning for Image Analysis" and acted as supervisor/applicant in many other EU-projects (EU-MC, FP7) and TU/e (PhD-TA, EAISI) projects.     

Ancillary Activities

No ancillary activities