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prof.dr. D. Meuwly (Didier)

Professor

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.

Expertise

Engineering & Materials Science
Biometrics
Cameras
Closed Circuit Television Systems
Face Recognition
Mathematics
Classifier
Performance Assessment
Social Sciences
Evidence
Surveillance

Ancillary Activities

  • Nederlands Forensisch Instituut
    Hoofd activiteit

Research

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

Publications

Recent
Ypma, R. J. F., Ramos, D. , & Meuwly, D. (2023). AI-based Forensic Evaluation in Court: The Desirability of Explanation and the Necessity of Validation. In Z. Geradts, & K. Franke (Eds.), Artificial Intelligence (AI) in Forensic Sciences Wiley.
Seckiner, D., Mallett, X., Roux, C., Gittelson, S., Maynard, P. , & Meuwly, D. (2023). Forensic interpretation framework for body and gait analysis: feature extraction, frequency and distinctiveness. Australian Journal of Forensic Sciences. Advance online publication. https://doi.org/10.1080/00450618.2022.2161636
Meuwly, D. (2023). Editorial - Proceedings EAFS 2022 - Stockholm. Forensic science international, Article 111901. Advance online publication. https://doi.org/10.1016/j.forsciint.2023.111901
Morrison, G. S., Ramos, D., Ypma, R. JF., Basu, N., de Bie, K., Enzinger, E., Geradts, Z. , Meuwly, D., van der Vloed, D., Vergeer, P., & Weber, P. (2022). A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) “identification” claims in forensic literature. Forensic Science International: Synergy, 4, Article 100230. https://doi.org/10.1016/j.fsisyn.2022.100230
Morrison, G. S., Enzinger, E., Hughes, V., Jessen, M. , Meuwly, D., Neumann, C., Planting, S., Thompson, W. C., van der Vloed, D., Ypma, R. J. F., Zhang, C., Anonymous, A., & Anonymous, B. (2021). Consensus on validation of forensic voice comparison. Science and Justice, 61(3), 299-309. https://doi.org/10.1016/j.scijus.2021.02.002
Meuwly, D. (2020). Editorial - Proceedings EAFS 2018 - Lyon. Forensic science international, 308, Article 110067. https://doi.org/10.1016/j.forsciint.2019.110067
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 Article 8698583 (IEEE nternational Conference on Biometrics Theory, Applications and Systems (BTAS); Vol. 2018). IEEE. https://doi.org/10.1109/BTAS.2018.8698583

UT Research Information System

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Education

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  2022/2023

Contact Details

+31622469024(mobile)
+31534893453 (secretary)
+31534893453 (if no answer)
 

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

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Mailing Address

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

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