prof.dr. D. Meuwly (Didier)


About Me

I am is born in Fribourg, Switzerland. After a classical education (Latin / Philosophy), I graduated as a criminalist and criminologist (1993) and received his PhD (2000), both at the School of Forensic Science (Ecole de Sciences Criminelles) of the University of Lausanne. I  share my time between The Netherlands Forensic Institute (NFI), an agency of the Dutch Ministry of Justice and Security, where I am a principal scientist, and the University of Twente, where I hold the chair of Forensic Biometrics.
I was previously responsible for the fingerprint section within the NFI and the leader of a project about the probabilistic evaluation of fingerprint evidence. From 2002 to 2004 I worked as a senior forensic scientist at the R&D department of the Forensic Science Service (UK-FSS), then an executive agency of the British Ministry of the Interior.
I serve as an associate editor for Forensic Science International (FSI) and is a member of the R&D standing committee of the European Network of Forensic Science Institutes (ENFSI-RDSC). I am is also a member of the ISO Technical Committee 272 Forensic Science, developing the ISO standard 21043.


Engineering & Materials Science
Closed Circuit Television Systems
Face Recognition
Performance Assessment
Social Sciences


I specialises in the automation and validation of the probabilistic evaluation of forensic evidence, and more specifically from biometric traces.


Seckiner, D., Mallett, X., Maynard, P. , Meuwly, D., & Roux, C. (2019). Forensic gait analysis — Morphometric assessment from surveillance footage. Forensic science international, 296, 57-66. https://doi.org/10.1016/j.forsciint.2019.01.007
Zeinstra, C. , Meuwly, D. , Veldhuis, R. , & Spreeuwers, L. (2019). Mind the Gap: A practical framework for classifiers in a forensic context. In 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018 [8698583] (IEEE nternational Conference on Biometrics Theory, Applications and Systems (BTAS); Vol. 2018). IEEE. https://doi.org/10.1109/BTAS.2018.8698583
Seckiner, D., Mallett, X., Roux, C. , Meuwly, D., & Maynard, P. (2018). Forensic image analysis - CCTV distortion and artefacts. Forensic science international, 285, 77-85. [285]. https://doi.org/10.1016/j.forsciint.2018.01.024
Maltoni, D., Cappelli, R. , & Meuwly, D. (2017). Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks. In M. Tistarelli, & C. Champod (Eds.), Handbook of Biometrics for Forensic Science (pp. 37-61). (Advances in Computer Vision and Pattern Recognition). Springer. https://doi.org/10.1007/978-3-319-50673-9_3
Nautsch, A. , Meuwly, D., Ramos, D., Lindh, J., & Busch, C. (2017). Making Likelihood Ratios Digestible for Cross-Application Performance Assessment. IEEE signal processing letters, 24(10), 1552-1556. [17176768]. https://doi.org/10.1109/LSP.2017.2748899

UT Research Information System

Google Scholar Link


Course Introduction to Biometrics

Forensic biometrics - the use of biometric data in forensic applications

Master course Cybercrime, Cybersecurity & Risk Management

Case Assessment and Interpretation in digital forensic science

Courses Academic Year  2021/2022

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2020/2021

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4090
Hallenweg 19
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4090
P.O. Box 217
7500 AE Enschede
The Netherlands

Social Media