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., 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 Proceedings of the IEEE Symposium on Security and Privacy (S&P)
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. (Accepted/In press). k-Anonymous Crowd Flow Analytics. Paper presented at 17th EAI International Conference on Mobile and Ubiquitous Systems:
Computing, Networking and Services. 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. [8519317]. https://doi.org/10.1109/TKDE.2018.2879079
Chilipirea, C., Dobre, C. , Baratchi, M. , & van Steen, M. R. (2018). Identifying movements in noisy crowd analytics data. In 19th International Conference on Mobile Data Management (MDM) (pp. 161-166). IEEE. https://doi.org/10.1109/MDM.2018.00033
Baratchi, M. , Heijenk, G. , & van Steen, M. R. (2017). Spaceprint: a Mobility-based Fingerprinting Scheme for Spaces. In SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems [102] Association for Computing Machinery (ACM). https://doi.org/10.1145/3139958.3140009
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 1049
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  1049
P.O. Box 217
7500 AE Enschede
The Netherlands

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