Prof. dr. ing. Z.J.M.H. (Zeno) Geradts
bijzonder hoogleraar forensische data analyse
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 904
- Kamernummer: C2.114
Postadres
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Postbus 94323
1090 GH Amsterdam
Social media
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Telefoon 0640003498
kamer C3.154d tel. 0640003498 -
Publicaties
2024
Fukami, A., Buurke, R., & Geradts, Z. (2024). Exploiting RPMB authentication in a closed source TEE implementation. Forensic Science International: Digital Investigation, 48(Supplement), Article 301682. https://doi.org/10.1016/j.fsidi.2023.301682 [details]- Jilani, S. K., Geradts, Z., & Abubakar, A. (2024). Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits. In G. L. Foresti, A. Fusiello, & E. Hancock (Eds.), Image Analysis and Processing - ICIAP 2023 Workshops: Udine, Italy, September 11–15, 2023 : proceedings (Vol. I, pp. 470-481). (Lecture Notes in Computer Science; Vol. 14365). Springer. https://doi.org/10.1007/978-3-031-51023-6_39 [details]
- Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2024). Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing. Forensic Science International: Synergy, 8, Article 100458. https://doi.org/10.1016/j.fsisyn.2024.100458 [details]
- de Leeuw den Bouter, M., Lloret Pardo, J., Geradts, Z., & Worring, M. (2024). ProtoExplorer: Interpretable forensic analysis of deepfake videos using prototype exploration and refinement. Information Visualization, 23(3), 217-291. https://doi.org/10.1177/14738716241238476 [details]
2023
- Blankesteijn, M. B., Fukami, A., & Geradts, Z. J. M. H. (2023). Assessing data remnants in modern smartphones after factory reset. Forensic Science International: Digital Investigation, 46, Article 301587. https://doi.org/10.1016/j.fsidi.2023.301587 [details]
- Fukami, A., Regazzoni, F., & Geradts, Z. (2023). Data Sanitization on eMMCs. In ASP-DAC 2023: 28th Asia and South Pacific Design Automation Conference proceedings, January 16-19, 2023, Miraikan National Museum of Emerging Science and Information (pp. 455-460). The Association for Computing Machinery. https://doi.org/10.1145/3566097.3568349 [details]
- Geradts, Z. (2023). Identity Theft. In M. M. Houck (Ed.), Encyclopedia of Forensic Sciences (3rd ed., Vol. 3, pp. 213-217). Elsevier. https://doi.org/10.1016/B978-0-12-823677-2.00264-6 [details]
- Geradts, Z. J. M. H. (Ed.), & Franke, K. (2023). AI in Forensic Science. Wiley.
- Geradts, Z., & Riphagen, Q. (2023). Interpol review of forensic video analysis, 2019–2022. Forensic Science International: Synergy, 6, Article 100309. Advance online publication. https://doi.org/10.1016/j.fsisyn.2022.100309 [details]
- Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2023). Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing. In 2023 11th International Workshop on Biometrics and Forensics (IWBF 2023): Barcelona, Spain : 19-20 April 2023 (pp. 92-97). IEEE. https://doi.org/10.1109/IWBF57495.2023.10157791 [details]
- Rodriguez, A. M., Unzueta, L., Geradts, Z., Worring, M., & Elordi, U. (2023). Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition. IEEE Journal on Selected Topics in Signal Processing, 17(3), 612-623. Advance online publication. https://doi.org/10.1109/JSTSP.2023.3267263 [details]
- Scanlon, M., Nikkel, B., & Geradts, Z. (2023). Digital forensic investigation in the age of ChatGPT. Forensic Science International: Digital Investigation, 44, Article 301543. https://doi.org/10.1016/j.fsidi.2023.301543 [details]
2022
- Chamot, F., Geradts, Z., & Haasdijk, E. (2022). Deepfake forensics: Cross-manipulation robustness of feedforward- and recurrent convolutional forgery detection methods. Forensic Science International: Digital Investigation, 40, Article 301374. https://doi.org/10.1016/j.fsidi.2022.301374
- Frijters, G., & Geradts, Z. J. M. H. (2022). Use of electric network frequency presence in video material for time estimation. Journal of Forensic Sciences, 67(3), 1021-1032. Advance online publication. https://doi.org/10.1111/1556-4029.15003 [details]
- Fukami, A., Sheremetov, S., Regazzoni, F., Geradts, Z., & De Laat, C. (2022). Experimental Evaluation of e·MMC Data Recovery. IEEE Transactions on Information Forensics and Security, 17, 2074-2083. https://doi.org/10.1109/TIFS.2022.3176187 [details]
- Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2022). Calibration of score based likelihood ratio estimation in automated forensic facial image comparison. Forensic Science International, 334, Article 111239. https://doi.org/10.1016/j.forsciint.2022.111239 [details]
- Nikkel, B., & Geradts, Z. (2022). Editorial. Forensic Science International: Digital Investigation, 42-43, Article 301487. https://doi.org/10.1016/j.fsidi.2022.301487 [details]
- Zola, F., Fernandez-Carrasco, J. A., Bruse, J. L., Galar, M., & Geradts, Z. (2022). Verification system based on long-range iris and Graph Siamese Neural Networks. In ESSE '22: 2022 3rd European Symposium on Software Engineering : Rome, Italy : October 27-29, 2022 (pp. 80-88). Association for Computing Machinery. https://doi.org/10.1145/3571697.3571708 [details]
- de Witte, B., Bouarfa, S., & Geradts, Z. (2022). A quantitative comparison of automated cleaning techniques for web scraped image data of 'Smart Cities'. In IPMV 2022: 2022 4th International Conference on Image Processing and Machine Vision : Virtual Conference, March 25-27, 2022 (pp. 64-71). (ICPS). The Association for Computing Machinery. https://doi.org/10.1145/3529446.3529457 [details]
2021
- Fukami, A., Stoykova, R., & Geradts, Z. (2021). A new model for forensic data extraction from encrypted mobile devices. Forensic Science International: Digital Investigation, 38, Article 301169. https://doi.org/10.1016/j.fsidi.2021.301169 [details]
- Geradts, Z., & Nikkel, B. (2021). Change and diversity. Forensic Science International: Digital Investigation, 37, Article 301206. https://doi.org/10.1016/j.fsidi.2021.301206 [details]
- Gisolf, F., Geradts, Z., & Worring, M. (2021). Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories. In J. Lokoč, K. Schoeffmann, X. Li, I. Patras, T. Skopal, V. Mezaris, & S. Vrochidis (Eds.), MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings (Vol. 2, pp. 244-255). (Lecture Notes in Computer Science; Vol. 12573). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-67835-7_21 [details]
- de Roos, L., & Geradts, Z. (2021). Factors that Influence PRNU-Based Camera-Identification via Videos. Journal of Imaging, 7(1), Article 8. https://doi.org/10.3390/jimaging7010008 [details]
2020
- Bas Seyyar, M., & Geradts, Z. J. M. H. (2020). Privacy impact assessment in large-scale digital forensic investigations. Forensic Science International: Digital Investigation, 33, Article 200906. Advance online publication. https://doi.org/10.1016/j.fsidi.2020.200906 [details]
- Geradts, Z. J. (2020). Crossing Borders: Forensic Science and the Fourth Industrial Revolution. Journal of Forensic Sciences, 65(1), 6-7. https://doi.org/10.1111/1556-4029.14236 [details]
- Geradts, Z., Filius, N., & Ruifrok, A. (2020). Interpol review of imaging and video 2016-2019. Forensic Science International: Synergy, 2, 540-562. https://doi.org/10.1016/j.fsisyn.2020.01.017 [details]
- Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2020). Likelihood Ratios for Deep Neural Networks in Face Comparison. Journal of Forensic Sciences, 65(4), 1169-1183. Advance online publication. https://doi.org/10.1111/1556-4029.14324 [details]
2019
- Casey, E., Geradts, Z., & Nikkel, B. (2019). Panoramic perspective of Digital Investigation. Digital Investigation, 30, 173. https://doi.org/10.1016/j.diin.2019.100886 [details]
- Ibrahimi, S., van Noord, N., Geradts, Z., & Worring, M. (2019). Deep Metric Learning for Cross-Domain Fashion Instance Retrieval. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 3165-3168). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00390 [details]
2018
- Athanasiadou, E., Geradts, Z., & Van Eijk, E. (2018). Camera recognition with deep learning. Forensic Science Research, 3(3), 210-218. https://doi.org/10.1080/20961790.2018.1485198 [details]
- Bedeli, M., Geradts, Z., & van Eijk, E. (2018). Clothing identification via deep learning: forensic applications. Forensic Science Research, 3(3), 219-229. https://doi.org/10.1080/20961790.2018.1526251 [details]
- Casey, E., Geradts, Z., & Nikkel, B. (2018). Transdisciplinary strategies for digital investigation challenges. Digital Investigation, 25, 1-4. https://doi.org/10.1016/j.diin.2018.05.002 [details]
- Fydanaki, A., & Geradts, Z. (2018). Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensics. Forensic Science Research, 3(3), 202-209. https://doi.org/10.1080/20961790.2018.1523703 [details]
- Geradts, Z. (2018). Digital, big data and computational forensics. Forensic Science Research, 3(3), 179-182. https://doi.org/10.1080/20961790.2018.1500078 [details]
- Geradts, Z. (2018). Forensic Digital Evidence. In A. Moyazani, & C. Parish Fisher (Eds.), Forensic Evidence Management: From the Crime Scene to the Courtroom (pp. 141-149). CRC Press. https://doi.org/10.4324/9781315154916-12 [details]
- Geradts, Z. (2018). Forensic challenges on multimedia analytics, big data and the internet of things. In C. Callegari, M. van Sinderen, P. Novais, P. Sarigiannidis, S. Battiato, Á. Serrano Sánchez de León, P. Lorenz, & M. S. Obaidat (Eds.), ICETE 2018 : Proceedings of the 15th International Joint Conference on e-Business and Telecommunications : July 26-28, 2018, in Porto, Portugal. - Volume 1: DCNET, ICE-B, OPTICS, SIGMAP and WINSYS (pp. 5-8). SciTePress. https://doi.org/10.5220/0007239400000000 [details]
- Koopman, M., Rodriguez, A. M., & Geradts, Z. (2018). Detection of deepfake video manipulation. In B. W. Scotney (Ed.), Irish Machine Vision and Image Processing Conference Proceedings 2018: Ulster University, Northern Ireland (pp. 133-136). Irish Pattern Recognition and Classication Society. http://hdl.handle.net/2262/89508
- Macarulla Rodriguez, A., Tiberius, C., van Bree, R., & Geradts, Z. (2018). Google timeline accuracy assessment and error prediction. Forensic Science Research, 3(3), 240-255. https://doi.org/10.1080/20961790.2018.1509187 [details]
- Meij, C., & Geradts, Z. (2018). Source camera identification using Photo Response Non-Uniformity on WhatsApp. Digital Investigation, 24, 142-154. https://doi.org/10.1016/j.diin.2018.02.005 [details]
- van Mastrigt, N. M., Celie, K., Mieremet, A. L., Ruifrok, A. C. C., & Geradts, Z. (2018). Critical review of the use and scientific basis of forensic gait analysis. Forensic Science Research, 3(3), 183-193. https://doi.org/10.1080/20961790.2018.1503579 [details]
- van Werkhoven, B., Hijma, P., Jacobs, C. J. H., Maassen, J., Geradts, Z. J. M. H., & Bal, H. E. (2018). A Jungle Computing approach to common image source identification in large collections of images. Digital Investigation, 27, 3-16. https://doi.org/10.1016/j.diin.2018.09.002 [details]
2017
- Rongen, J., & Geradts, Z. (2017). Extraction and Forensic Analysis of wearables. International Journal of Forensic Science & Patholology, 5(1), 312-318. https://doi.org/10.19070/2332-287X-1700070 [details]
2016
- Ruifrok, A., & Geradts, Z. (2016). Video and Imaging, 2013-2016. In M. M. Houck (Ed.), 18th INTERPOL International Forensic Science Managers Symposium, Lyon, France: 11-13 October 2016 : review papers (pp. 568-585). Interpol. https://www.interpol.int/content/download/33314/426506/version/1/file/INTERPOL%2018th%20IFSMS%20Review%20Papers.pdf [details]
2015
- Geradts, Z. J., & Franke, K. (2015). Editorial: Big Data and Intelligent Data Analysis from a Forensic Perspective. Digital Investigation, 15, 18-19. https://doi.org/10.1016/j.diin.2015.10.003 [details]
- Kloosterman, A., Mapes, A., Geradts, Z., van Eijk, E., Koper, C., van den Berg, J., Verheij, S., van der Steen, M., & van Asten, A. (2015). The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system. Philosophical Transactions of the Royal Society B - Biological Sciences, 370(1674), Article 20140264. https://doi.org/10.1098/rstb.2014.0264 [details]
- van Asten, A., Neuteboom, W., Wiersma, S., & Geradts, Z. (2015). The Netherlands. In D. H. Ubelaker (Ed.), The Global Practice of Forensic Science (pp. 217-230). Wiley Blackwell. https://doi.org/10.1002/9781118724248.ch21 [details]
2014
- Geradts, Z., & Johnson, T. A. (2014). Forensic computing. In S. H. James, J. J. Nordby, & S. Bell (Eds.), Forensic Science: An Introduction to Scientific and Investigative Techniques (4th ed., pp. 507-520). CRC Press. https://doi.org/10.1201/b16445 [details]
- Gisolf, F., Barens, P., Snel, E., Malgoezar, A., Vos, M., Mieremet, A., & Geradts, Z. (2014). Common source identification of images in large databases. Forensic Science International, 244, 222-230. Advance online publication. https://doi.org/10.1016/j.forsciint.2014.08.034 [details]
- Slot, A., & Geradts, Z. J. M. H. (2014). The possibilities and limitations of forensic hand comparison. Journal of Forensic Sciences, 59(6), 1559-1567. https://doi.org/10.1111/1556-4029.12542 [details]
2013
- Baker, D. W., Brothers, S. I., Geradts, Z. J., Lacey, D. S., Nance, K. L., Ryan, D. J., Sammons, J. E., & Stephenson, P. (2013). Digital Evolution: History, Challenges and Future Directions for the Digital and Multimedia Sciences Section. In D. H. Ubelaker (Ed.), Forensic Science: Current Issues, Future Directions (pp. 252-291). John Wiley & Sons. https://doi.org/10.1002/9781118373880.ch10
- Geradts, Z. (2013). Identity Theft. In J. A. Siegel, P. J. Saukko, & M. M. Houck (Eds.), Encyclopedia of Forensic Sciences (2nd ed., Vol. 3, pp. 419-422). Academic Press. https://doi.org/10.1016/B978-0-12-382165-2.00217-8 [details]
- Gisolf, F., Geradts, Z., Verhoeven, D., & Klaver, C. (2013). The effects of switching the camera module from BlackBerry Curve 9360 devices. Digital Investigation, 10(1), 56-61. Advance online publication. https://doi.org/10.1016/j.diin.2013.01.007 [details]
- Gisolf, F., Malgoezar, A., Baar, T., & Geradts, Z. (2013). Improving source camera identification using a simplified total variation based noise removal algorithm. Digital Investigation, 10(3), 207-214. Advance online publication. https://doi.org/10.1016/j.diin.2013.08.002 [details]
2012
- van Houten, W., & Geradts, Z. (2012). Using anisotropic diffusion for efficient extraction of sensor noise in camera identification. Journal of Forensic Sciences, 57(2), 521-527. https://doi.org/10.1111/j.1556-4029.2012.02057.x
2011
- Geradts, Z. (2011). ENFSI Forensic IT Working group. Digital Investigation, 8(2), 94-95. https://doi.org/10.1016/j.diin.2011.09.003
2010
- van Houten, W., Geradts, Z. J. M. H., Franke, K., & Veenman, C. (2010). Verification of video source Camera Competition (CAMCOM 2010). In Recognizing Patterns in Signals, Speech, Images, and Videos - ICPR 2010 Contests, Contest Reports (pp. 22-28). (Lecture Notes in Computer Science; Vol. 6388). Springer. https://doi.org/10.1007/978-3-642-17711-8_3
2009
- Alles, E. J., Geradts, Z. J. M. H., & Veenman, C. J. (2009). Source camera identification for heavily JPEG compressed low resolution still images. Journal of Forensic Sciences, 54(3), 628-638. https://doi.org/10.1111/j.1556-4029.2009.01029.x [details]
- Huijbregtse, M., & Geradts, Z. (2009). Using the ENF criterion for determining the time of recording of short digital audio recordings. In Computational Forensics - Third International Workshop, IWCF 2009, Proceedings (pp. 116-124). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0_11
- Koops, B. J., & Geradts, Z. (2009). Identity-related crime and forensics. In The Future of Identity in the Information Society (pp. 315-347). Springer. https://doi.org/10.1007/978-3-642-01820-6_8
- Van Houten, W., & Geradts, Z. (2009). Using sensor noise to identify low resolution compressed videos from youtube. In Computational Forensics - Third International Workshop, IWCF 2009, Proceedings (pp. 104-115). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0_10
- van Houten, W., & Geradts, Z. (2009). Source video camera identification for multiply compressed videos originating from YouTube. Digital Investigation, 6(1-2), 48-60. https://doi.org/10.1016/j.diin.2009.05.003
2008
- Alles, E. J., Geradts, Z. J. M. H., & Veenman, C. J. (2008). Source camera identification for low resolution heavily compressed images. In Proceedings: The 2008 International Conference on Computational Science and its Applications: ICCSA 2008: Perugia, Italy, June 30-July 3, 2008 (pp. 557-567). IEEE. https://doi.org/10.1109/ICCSA.2008.18 [details]
2006
- Geradts, Z. (2006). Physics at the scene of the crime. Physics World, 19(7), 39-40.
2004
- Freyssinet, E., & Geradts, Z. (2004). Future issues in forensic computing and an introduction to ENSFI. Digital Investigation, 1(2), 112-113. https://doi.org/10.1016/j.diin.2004.04.008
2003
- Geradts, Z., & Ruifrok, A. (2003). Extracting forensic evidence from biometric devices. Proceedings of SPIE, the International Society for Optical Engineering, 5108, 181-188. https://doi.org/10.1117/12.501151
2002
- Geradts, Z. J., Bijhold, J., Kieft, M., Kurosawa, K., Kuroki, K., & Saitoh, N. (2002). Digital camera identification. Journal of Forensic Identification, 52(5), 621-632.
- Geradts, Z., & Bijhold, J. (2002). Content based information retrieval in forensic image databases. Journal of Forensic Sciences, 47(2), 285-92.
- Geradts, Z., & Bijhold, J. (2002). Data mining in forensic image databases. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 92-101. https://doi.org/10.1117/12.474729
- Geradts, Z., Merlijn, M., De Groot, G., & Bijhold, J. (2002). Use of gait parameters of persons in video surveillance systems. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 16-24. https://doi.org/10.1117/12.474735
- Saitoh, N., Kurosawa, K., Kuroki, K., Akiba, N., Geradts, Z., & Bijhold, J. (2002). CCD fingerprint method for digital still cameras. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 37-48. https://doi.org/10.1117/12.474737
2001
- Geradts, Z. J., Bijhold, J., Hermsen, R., & Murtagh, F. (2001). Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms. Forensic Science International, 119(1), 97-106. https://doi.org/10.1016/S0379-0738(00)00420-5
- Geradts, Z. J., Bijhold, J., Kieft, M., Kurosawa, K., Kuroki, K., & Saitoh, N. (2001). Methods for identification of images acquired with digital cameras. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 505-512. https://doi.org/10.1117/12.417569
- Geradts, Z., & Bijhold, J. (2001). New developments in forensic image processing and pattern recognition. Science & justice, 41(3), 159-166.
- Geradts, Z., Bijhold, J., Hermsen, R., & Murtagh, F. (2001). Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 545-552. https://doi.org/10.1117/12.417573
- Geradts, Z., Hardy, H., Poortman, A., & Bijhold, J. (2001). Evaluation of contents based image retrieval methods for a database of logos on drug tablets. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 553-562. https://doi.org/10.1117/12.417574
- Geradts, Z., Zaal, D., Hardy, H., Lelieveld, J., Keereweer, I., & Bijhold, J. (2001). Pilot investigation of automatic comparison of striation marks with structured light. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 49-56. https://doi.org/10.1117/12.417516
2000
- Geradts, Z., & Bijhold, J. (2000). Overview of pattern recognition and image processing in forensic science. Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology, 1(2).
1999
- Bijhold, J., & Geradts, Z. (1999). Forensic photo/videogrammetry; Monte Carlo simulation of pixel and measurement errors. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 239-246.
- Daubos, T., Geradts, Z., Starck, J. L., Campbell, J., & Murtagh, F. (1999). Improving video image quality using automated wavelet-based image addition. Proceedings of SPIE, the International Society for Optical Engineering, 3813, 795-801.
- Geradts, Z. J., & Bijhold, J. (1999). Forensic video investigation with real time digitized uncompressed video image sequences. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 154-164.
- Geradts, Z., Bijhold, J., & Hermsen, R. (1999). Pattern recognition in a database of cartridge cases. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 104-115.
1997
- Geradts, Z. J., Dofferhoff, G., & Visser, R. (1997). Using high speed video in ballistic experiments with crossbows. Proceedings of SPIE, the International Society for Optical Engineering, 2942, 64-70. https://doi.org/10.1117/12.267166
1996
- Geradts, Z., & Keijzer, J. (1996). The image-database REBEZO for shoeprints with developments on automatic classification of shoe outsole designs. Forensic Science International, 82(1), 21-31. https://doi.org/10.1016/0379-0738(96)01963-9
1995
- Geradts, Z., Keijzer, J., & Keereweer, I. (1995). Automatic comparison of striation marks and automatic classification of shoe prints. Proceedings of SPIE - The International Society for Optical Engineering, 2567, 151-164. https://doi.org/10.1117/12.218471
1994
- Geradts, Z., Keijzer, J., & Keereweer, I. (1994). A new approach to automatic comparison of striation marks. Journal of Forensic Sciences, 39(4), 974-980. https://doi.org/10.1520/JFS13676J
2023
- Geradts, Z., & Ubelaker, D. H. (2023). Series Preface. In R. C. Parra, & D. H. Ubelaker (Eds.), Anthropology of Violent Death: Theoretical Foundations for Forensic Humanitarian Action (pp. xxvii). (Forensic Science in Focus). Wiley. https://doi.org/10.1002/9781119806394 [details]
- Geradts, Z., & Ubelaker, D. H. (2023). Series preface. In S. Ellingham, J. Adserias-Garriga, S. C. Zapico, & D. H. Ubelaker (Eds.), Burnt Human Remains: Recovery, Analysis, and Interpretation (pp. xxix). (Forensic Science in Focus). Wiley. https://doi.org/10.1002/9781119682691 [details]
- Keizer, M., Geradts, Z., & Kombrink, M. (2023). Forensic Video Steganalysis in Spatial Domain by Noise Residual Convolutional Neural Network. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2305.18070
- de Leeuw den Bouter, M., Lloret Pardo, J., Geradts, Z., & Worring, M. (2023). ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2309.11155 [details]
2022
- Geradts, Z. (2022). Foreword. In N-A. Le-Khac, & K-KR. Choo (Eds.), A Practical Hands-on Approach to Database Forensics (pp. v). (Studies in Big Data; Vol. 116). Springer. https://doi.org/10.1007/978-3-031-16127-8 [details]
- Morrison, G. S., Ramos, D., Ypma, R. J. F., 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 [details]
2021
- Nikkel, B., & Geradts, Z. (2021). Journal roles and responsibilities: Simplification and optimization. Forensic Science International: Digital Investigation, 38, Article 301282. https://doi.org/10.1016/j.fsidi.2021.301282 [details]
2020
- Geradts, Z. J. (2020). The Application of Artificial Intelligence (AI) in Digital Forensic Science. Proceedings of the American Academy of Forensic Sciences, 26, 463. Article C17. https://aafs.org/common/Uploaded%20files/Resources/Proceedings/2020_Proceedings.pdf [details]
- Pločo, A., Macarulla Rodríguez, A., & Geradts, Z. (2020). Spatial-Temporal Omni-Scale Feature Learning for Person Re-Identification. In IWBF 2020 : 2020 8th International Workshop on Biometrics and Forensics (IWBF) : proceedings : Porto, Portugal, April 29-30, 2020 (pp. 121-125). IEEE. https://doi.org/10.1109/IWBF49977.2020.9107966 [details]
2018
- Borengasser, M., Rettich, K. L., Vorder Bruegge, R., & Geradts, Z. J. (2018). Forensic Image Processing. Proceedings of the American Academy of Forensic Sciences, 24, 29. Article W16. https://www.aafs.org/wp-content/uploads/2018_Complete_Proceedings.pdf [details]
- Liptai, L. L., Geradts, Z. J., Van Eijk, E., Carter, D. O., Tomberlin, J. K., Van Zalen, E., Fraga, C., Toman, J. M., & Domitrovich, S. (2018). Think Tank on the Leading Edge of Forensic Science: Drones, Autonomous Vehicles, Big Data/Big Problems, National Security Globalization Into Protrusionism Privacy, Dirty Bombs, and Microbial Forensics. Proceedings of the American Academy of Forensic Sciences, 24, 37. Article W24. https://www.aafs.org/wp-content/uploads/2018_Complete_Proceedings.pdf [details]
2016
- Geradts, Z. J., & Cents, R. (2016). The Use of Photo Response Non-Uniformity (PRNU) Patterns for the Comparison of Online Videos on Social Media. Proceedings of the American Academy of Forensic Sciences, 22, 437. Article C13. https://www.aafs.org/wp-content/uploads/2016Proceedings.pdf [details]
- Geradts, Z. J., & Ruifrok, A. C. (2016). Using Deep Learning Methods for Forensic Image and Video Investigation. Proceedings of the American Academy of Forensic Sciences, 22, 426. Article C2. https://www.aafs.org/wp-content/uploads/2016Proceedings.pdf [details]
- Geradts, Z. J., Liptai, L. L., Thompson, R. M., Franke, K., van Asten, A. C., Winfield, G., Weedn, V. W., Bartick, E. G., Moini, M., & Henshon, M. T. (2016). On the leading edge of forensic science. Proceedings of the American Academy of Forensic Sciences, 22, 36. Article W20. https://www.aafs.org/wp-content/uploads/2016Proceedings.pdf [details]
2014
- Harris, H. A., Sjerps, M. J., Kloosterman, A. D., Quak, A., & Geradts, Z. J. (2014). Framework for Registration, Classification, and evaluation of errors in the Forensic DNA Typing Process. Proceedings of the American Academy of Forensic Sciences, 20, 19. Article W13. http://www.aafs.org/sites/default/files/AAFS2014Proceedings.pdf [details]
2009
- Geradts, Z. J. M. H., Franke, K. Y., & Veenman, C. J. (2009). Preface. In Z. J. M. H. Geradts, K. Y. Franke, & C. J. Veenman (Eds.), Computational Forensics: Third International Workshop, IWCF 2009, The Hague, The Netherlands, August 13-14, 2009 : proceedings (pp. VI). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0 [details]
2002
- Geradts, Z. J., & Rudin, L. I. (Eds.) (2002). Erratum: (Proceedings of SPIE - Investigative Image Processing II (4 April, 2002)). Proceedings of SPIE, the International Society for Optical Engineering, 4709, 127.
- van Leuven, B., Visser, R., & Geradts, Z. (2002). Commentary on: Rompen JC, Meek MF, van Andel MV. A Cause Celebre: The so-called "Ballpoint Murder." J Forensic Sci 2000;45(5):1144-1147. Journal of Forensic Sciences, 47(1), 234.
2001
- Geradts, Z. (2001). Your expectations in 2005. Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology, 2(1).
2020
- Venema, A. E., & Geradts, Z. J. (2020). Digital Forensics, Deepfakes and the Legal Process. SciTech Lawyer, 16(4), 14-17, 23. https://www.americanbar.org/groups/science_technology/publications/scitech_lawyer/2020/summer/digital-forensics-deepfakes-and-legal-process/ [details]
2019
- Geradts, Z., Filius, N., & Ruifrok, A. (2019). Video and imaging. In M. M. Houck (Ed.), 19th Interpol International Forensic Science Managers Symposium: Lyon, France : 7-10 October 2019 : review papers (pp. 563-606). Interpol. https://www.interpol.int/content/download/14458/file/Interpol%20Review%20Papers%202019.pdf [details]
Prijs / subsidie
- van Asten, A., Geradts, Z., de Poot, C. & Kranenburg, R. (2023). FIDBID - Forensic Illicit Drug intelligence through Big and Intelligent Data analysis. https://www.uva.nl/en/shared-content/faculteiten/en/faculteit-der-natuurwetenschappen-wiskunde-en-informatica/news/2023/03/automatic-detecti…
- Geradts, Z. (2016). Carrie Morgan Whitcomb Outstanding Service Award.
- Geradts, Z. (2016). Carrie Whitcomb Award.
- Geradts, Z. (2012). Distinguished Forensic Scientist Award. https://enfsi.eu/hall-fame/
- Geradts, Z. (2012). Distinguished forensic scientist.
Lidmaatschap / relevante positie
- Geradts, Z. (2018-2019). President Elect, American Academy of Forensic Sciences.
- Geradts, Z. (2010-). senior member, IEEE.
- Geradts, Z. (2007-). chairman of forensic IT Working group, ENFSI.
- Geradts, Z. (2002-). member and director of EU section, International Association of Identification.
- Geradts, Z. (1999-). Chairman Engineering Sciences, Digital and Multimedia Sciences, Director, Vice President, Treasurer, American Academy of Forensic Sciences.
Tijdschriftredactie
- Geradts, Z. (editor) (2021). Forensic Science International: Digital Investigation (Journal).
- Geradts, Z. (editor) (2018). Digital Investigation (Journal).
- Geradts, Z. (editor) (2016). Forensic Science Research (Journal).
- Geradts, Z. (editor) (2014). Journal of Forensic Sciences (Journal).
- Geradts, Z. (editor) (2010-2018). Digital Investigation (Journal).
Andere
- Geradts, Z. (participant) (2-2018). American Academy of Forensic Science 2018, Seattle. Think Tank on the Leading Edge of Forensic Science: Drones, Autonomous Vehicles, Big Data/Big Problems,National Security Globalization Into (…) (organising a conference, workshop, ...). https://www.aafs.org/wp-content/uploads/2018_Complete_Proceedings.pdf
2024
- Fukami, A. (2024). Effective mobile forensics through exploiting the memory security. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Macarulla Rodríguez, A. (2024). Face comparison in forensics: A deep dive into deep learning and likelihood rations. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list. -
Nevenwerkzaamheden
-
NFI
senior wetenschappelijk onderzoeker -
ENFSI
chairman forensic IT working group -
St. Jules Geradts Behoud Munnichsbos
voorzitter -
Elsevier
Co-Chief Editor -
NRGD
assessor -
AAFS
Past President
-
NFI
Fukami, A., Buurke, R., & Geradts, Z. (2024). Exploiting RPMB authentication in a closed source TEE implementation. Forensic Science International: Digital Investigation, 48(Supplement), Article 301682.