Guest staff

prof.dr. D. Meuwly (Didier)

Honorary Professor
EEMCS-CS-DMB
Zilverling 4090
d.meuwly@utwente.nl
Business card

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

  • Computer Science

    • Forensics
    • Biometrics
    • Evaluation
    • Forensic Evidence
    • Fingerprint Identification
    • Likelihood Ratio
    • Application

  • Medicine and Dentistry

    • Gait

Organisations

Ancillary activities

  • Nederlands Forensisch InstituutHoofd activiteit

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

Publications

2024
Editorial - Proceedings EAFS 2022 - Stockholm, Article 111901. Meuwly, D.https://doi.org/10.1016/j.forsciint.2023.111901
2023
AI-based Forensic Evaluation in Court: The Desirability of Explanation and the Necessity of ValidationIn Artificial Intelligence (AI) in Forensic Sciences. Wiley. Ypma, R. J. F., Ramos, D. & Meuwly, D.Forensic interpretation framework for body and gait analysis: feature extraction, frequency and distinctiveness (E-pub ahead of print/First online). Seckiner, D., Mallett, X., Roux, C., Gittelson, S., Maynard, P. & Meuwly, D.https://doi.org/10.1080/00450618.2022.2161636
2022
A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) “identification” claims in forensic literature, Article 100230. Morrison, G. S., Ramos, D., Ypma, R. J., Basu, N., de Bie, K., Enzinger, E., Geradts, Z., Meuwly, D., van der Vloed, D., Vergeer, P. & Weber, P.https://doi.org/10.1016/j.fsisyn.2022.100230
2021
Consensus on validation of forensic voice comparison, 299-309. 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.https://doi.org/10.1016/j.scijus.2021.02.002
2020
Editorial - Proceedings EAFS 2018 - Lyon, Article 110067. Meuwly, D.https://doi.org/10.1016/j.forsciint.2019.110067

Research profiles

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 2023/2024

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 2022/2023

Address

University of Twente

Zilverling (building no. 11), room 4090
Hallenweg 19
7522 NH Enschede
Netherlands

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Organisations

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