prof.dr.ir. M.R. van Steen (Maarten)

Scientific Director Digital Society Institute

About Me

Maarten van Steen works in the field of networked computer systems, with an emphasis on wireless systems as well as more traditional distributed systems. He is an alumnus of the University of Twente where he graduated in 1983 in Applied Mathematics. After completing his PhD at the Computer Science department in Leiden, Van Steen worked at TNO Delft, where he carried out research on parallel computing and gained his first experience in research management. He continued his academic career at Erasmus University Rotterdam and later at VU University Amsterdam, where he was appointed full professor in 2002.

Since January 2015 he is Scientific Director of the digitalization research institute of the University of Twente: The Digital Society Institute. He chairs the ICT Research Platform Netherlands, representing all Dutch academic departments and institutes. He is also chair of NWO Informatics advisory committee.


Engineering & Materials Science
Ad Hoc Networks
Information Dissemination
Network Protocols
Wireless Sensor Networks


van Ede, T. S. (2023). Comprehending Security Events: Context-Based Identification and Explanation. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036558891
Stanciu, V-D. (2022). Privacy-friendly WiFi-based crowd monitoring for pedestrian dynamics analytics. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554916
van Steen, M., Stanciu, V. D. , Shafaeipour, Z. , Chilipirea, C., Dobre, C. , Peter, A. , & Wang, M. (2022). Challenges in automated measurement of pedestrian dynamics. In D. Eyers, & S. Voulgaris (Eds.), Distributed Applications and Interoperable Systems - 22nd IFIP WG 6.1 International Conference, DAIS 2022, Held as Part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022, Proceedings (Vol. 13272, pp. 187-199). (Lecture Notes in Computer Science; Vol. 13272). Springer. https://doi.org/10.1007/978-3-031-16092-9_12
van Ede, T., Aghakhani, H., Spahn, N. , Bortolameotti, R., Cova, M. , Continella, A. , van Steen, M. , Peter, A., Kruegel, C., & Vigna, G. (2022). DEEPCASE: Semi-Supervised Contextual Analysis of Security Events. In 2022 IEEE Symposium on Security and Privacy (SP) (pp. 522-539). (Proceedings - IEEE Symposium on Security and Privacy; Vol. 2022-May). IEEE. https://doi.org/10.1109/SP46214.2022.9833671
Stanciu, V. D. , van Steen, M., Dobre, C. , & Peter, A. (2021). Privacy-Preserving Crowd-Monitoring using Bloom Filters and Homomorphic Encryption. In EdgeSys '21: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking (pp. 37-42). ACM Press. https://doi.org/10.1145/3434770.3459735
Stanciu, V-D. , van Steen, M., Dobre, C. , & Peter, A. (2020). k-Anonymous Crowd Flow Analytics. In MobiQuitous '20: MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 376-385) https://doi.org/10.1145/3448891.3448903
van Ede, T. S. , Bortolameotti, R. , Continella, A., Ren, J., Dubois, D. J., Lindorfer, M., Choffnes, D. , van Steen, M. , & Peter, A. (2020). FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic. In Network and Distributed System Security Symposium (NDSS) (27 ed.). Internet Society. https://doi.org/10.14722/ndss.2020.24412
Heldens, S. J. , Litvak, N. , & van Steen, M. (2020). Scalable Detection of Crowd Motion Patterns. IEEE transactions on knowledge and data engineering, 32(1), 152-164. Article 8519317. Advance online publication. https://doi.org/10.1109/TKDE.2018.2879079
Chilipirea, C. (2019). Crowd data analytics as seen from Wifi: a critical review. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036548960
Other Contributions


So far, I have written the following books:

All books can be downloaded for free from www.distributed-systems.net.


  • In November 2013, we attempted to write a book in five days, on adaptive collective systems. In the end, it’s more of a (long) position paper, beautifully published. Check it out.
  • I made a small video on how I see the future of Computer Sciences. There’s work to do.

Former PHD students

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 3031
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  3031
P.O. Box 217
7500 AE Enschede
The Netherlands

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