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Dr Ir Wim MEES

Full Professor

wim.mees@rma.ac.be     +32-2-44-14074     Academic details

Research projects

SUM

The aim of this project is to develop a low-cost multi-sensor vehicle protection system using a data fusion engine in order to enhance situational awareness and aid command and control for a moving vehicle in an urban environment, as well as to protect critical static points such as road blocks or outposts, taking into account the operational needs defined by end-users. The system will be able to detect potential threats at large distances while driving at a normal cruising speed. Furthermore, the system will be able to recognize and characterize threats in more detail at smaller distances and at slower speeds. Based on the working conditions and the operator\'s instructions, the system will be able to switch between operating modes for the overall system and for the individual sensors (spot mode, scanning mode etc.)

Publications

  1. Alexandre Croix, Thibault Debatty, and Wim Mees. Comparison of a supervised trained neural network classifier and a supervised trained aggregation function classifier. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  2. Islam Debicha, Thibault Debatty, Wim Mees, and Jean-Michel Dricot. Efficient intrusion detection using evidence theory. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  3. Georgi Nikolov, Thibault Debatty, and Wim Mees. Evaluation of a multi-agent anomaly-based advanced persistent threat detection framework. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  4. Alexandre Croix, Thibault Debatty, and Wim Mees. Training a multi-criteria decision system and application to the detection of PHP webshells. In 2019 International Conference on Military Communications and Information, 2019.
  5. Thibault Debatty and Wim Mees. Building a cyber range for training cyberdefense situation awareness. In 2019 International Conference on Military Communications and Information, 2019.
  6. Thibault Debatty, Wim Mees, and Thomas Gilon. Graph-based APT detection. In 2018 International Conference on Military Communications and Information, 2018.
  7. Salvador Llopis, Javier Hingant, Israel Pérez, Manuel Esteve, Federico Carvajal, Wim Mees, and Thibault Debatty. A comparative analysis of visualisation techniques to achieve cyber situational awareness in the military. In 2018 International Conference on Military Communications and Information Systems (ICMCIS), 2018.
  8. Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, and Wim Mees. Fast distributed k-nn graph update. In 2016 IEEE International Conference on Big Data (Big Data), 2016.
  9. Wim Mees, Salvador Llopis, and Thibault Debatty. Achieving cyber situation awareness through a multi-aspect 3D operational picture. In Proceedings of the NATO IST-148 Symposium on Cyber Defense Situational Awareness, 2016.
  10. Wim Mees and Thibault Debatty. An attempt at defining cyberdefense situation awareness in the context of command & control. In 2015 International Conference on Military Communications and Information Systems (ICMCIS), pages 1-9. IEEE, May 2015.
  11. Wim Mees and Thibault Debatty. An attempt at defining cyberdefense situation awareness in the context of command & control. In 2015 International Conference on Military Communications and Information Systems (ICMCIS), 2015.
  12. T Debatty, W Mees, P Michiardi, and O Thonnard. Determining the k in k-means with mapreduce. In CEUR Workshop Proceedings, volume 1133, pages 19-28, 2014.
  13. Thibault Debatty, Pietro Michiardi, Wim Mees, and Olivier Thonnard. Determining the k in k-means with mapreduce. In Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014.
  14. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Building k-nn graphs from large text data. In 2014 IEEE International Conference on Big Data (Big Data), 2014.
  15. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Building k-nn graphs from large text data. In IEEE International Conference on Big Data, pages 573-578. IEEE, October 2014.
  16. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Scalable graph building from text data. In Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 2014.
  17. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Scalable Graph Building from Text Data. In Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 2014.
  18. Wim Mees and Thibault Debatty. Multi-agent system for APT detection. In 2014 IEEE International Symposium on Software Reliability Engineering Workshops, 2014.
  19. Wim Mees and Thibault Debatty. Multi-agent System for APT Detection. In IEEE International Symposium on Software Reliability Engineering Workshops, pages 401-406. IEEE, November 2014.
  20. R Heremans and W Mees. Vehicle threat locating via the detection of anomalies on roads and their verges. In Proceedings of the IASTED International Conference on Computer Graphics and Imaging, CGIM 2013, pages 54-61, 2013.
  21. W Mees and R Heremans. Multisensor data fusion for IED threat detection. In Proceedings of SPIE, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII, volume 8546, October 2012.
  22. O Thonnard, W Mees, and M Dacier. Addressing the attack attribution problem using knowledge discovery and multi-criteria fuzzy decision-making. In Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, CSI-KDD in Conjunction with SIGKDD'09, pages 11-21, 2009.
  23. Olivier Thonnard, Wim Mees, and Marc Dacier. Addressing the attack attribution problem using knowledge discovery and multi-criteria fuzzy decision-making. In ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics, 2009.
  24. Olivier Thonnard, Wim Mees, and Marc Dacier. Behavioral Analysis of Zombie Armies. In The Virtual Battlefield: Perspectives on Cyber Warfare, pages 191-210. IOS Press, 2009.
  25. Wim Mees. Risk management in coalition networks. In Third International Symposium on Information Assurance and Security, 2007.
  26. Wim Mees. Risk management in coalition networks. In Third International Symposium on Information Assurance and Security, pages 329-336. IEEE, August 2007.
  27. K Mertens and W Mees. Communication and information system for disaster relief operations. In Proceedings of ISCRAM 2006 - 3rd International Conference on Information Systems for Crisis Response and Management, pages 461-464, 2006.
  28. Wim Mees. A distributed automatic scene-analysis system. PhD thesis, Institut Henri Poincaré - Nancy 1, 2000.
  29. W. Mees. Detection of defects in a fuzzy knowledge base. In Proceedings of the IEEE International Fuzzy Systems Conference., pages 204-209 vol.1. IEEE, 1999.
  30. D. Borghys, P. Druyts, W Mees, C Perneel, and M Acheroy. SAHARA: Final Report: Evaluation. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  31. Pascal Druyts, Wim Mees, Dirk Borghys, Youssef Ouaghli, Christiaan Perneel, Marc Acheroy, and J-L Valero. SAHARA - semi-automatic help for aerial region analysis, 'system description and final evaluation'. In Third NATO/IRIS Joint Symposium, Quebec City, Quebec, 1998.
  32. Wim Mees and Christiaan Perneel. Advances in computer assisted image interpretation. Informatica - International Journal of Computing and Informatics (Ljubljana), 22(2):231-243, 1998.
  33. W Mees, C Perneel, and M Acheroy. SAHARA: Final Report of WP2: High-Level System. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  34. Pascal Druyts, Wim Mees, Dirk Borghys, Christiaan Perneel, Marc Acheroy, and J-L Valero. SAHARA - semi-automatic help for aerial region analysis. In Joint Workshop 'Sensors and Mapping from Space` of The International Society for Photogrametry and Remote Sensing (ISPRS)., volume 17, pages 267-274, Hannover, Germany, 1997.
  35. D Borghys, C Perneel, W Mees, and M Acheroy. STANAG 3596 based Multispectral Information System - Feasibility Study. Royal Military Academy, Brussels, 1996.
  36. Wim Mees and Marc Acheroy. Automated interpretation of aerial photographs using local and global rules. In Intelligent Engineering Systems Through Artificial Neural Networks, volume 5, pages 459-465, 1995.