Remco Duits

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.