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. Since 2025 he is a full professor leading the Geometric Learning and Differential Geometry (GLDG) group in the CASA cluster at the Department of  Mathematics & Computer Science. 

Remco has organized various large conferences (NMC, 4TU-AMI annual congress: Mathematics for Deep Learning, SSVM) 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 has has organized international Eurandom workshops. He coordinated the Department's overall 5 year Research Assessment and he 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, France, Israel, Sweden, and the Netherlands, conference proceedings and related books, and journals such as JMIV, SIAM Journal on Imaging Science, IJCV, PAMI, MEDIA, ESAIM: Mathematical Modelling and Numerical Analysis, Journal of Physiology,  Fronteers of AI, and IEEE-journal TMI. He is the lead departmental representative for ASML-TU/e collaborations in the AI Core team, in EAISI and in AIM (Dutch organisation for AI & Math).

He is a board member of the bi-annual congress SSVM and he is the lead organizer of SSVM 2027. He received many best paper awards (at conferences such as SSVM, PRIA, MMBIA, MICCAI) and poster awards, and a Philips Impact award.  He has a strong background in classical and functional analysis, differential geometry, machine learning, Lie group theory, PDEs, mathematical and medical image analysis, and his current main interest are Differential Geometry and Geometric Deep Learning.  

He has supervised 12 succesful PhD projects of which 4 were selected for best thesis awards and cum laude (5% best) judicia (Bart Smets '24, Erik Bekkers '17, Bart Janssen '09, Erik Franken '08). Recent examples, are the PhD theses of Gijs Bellaard, Nicky van den Berg, Schuhe Zhang, Daan Bon, Andrii Kompanets, Stephan Meesters, Jorg Portegies, Bart Smets.

He has recieved two prestigious personal grants: an ERC-StG grant (2013-2018, 1.3 MEuro) "Lie Group Analysis for Medical Image Processing" and a VICI grant (2021-2027, 1.5 MEuro) "Geometric Learning for Image Analysis" . He also acted as main supervisor/applicant in many other EU-projects (EU-MC, FP7), TU/e (PhD-TA) projects. He leads and supervises several industrial projects including RWS & Prorail oriented EAISI projects (2022-2029) and several ASML projects incl. the ITK Deltas project (2025-2029).