MG_2901Q_small.jpg Email: stefan.michaelis At sign tu-dortmund.de
Phone: 0231/755-4813
Room-No.: JvF25 R111


Stefan Michaelis is executive director of the competence center ML2R. He is contact person regarding every questions about organization and research aspects of resource-constrained analysis.

His research interests are especially in analysis of communication networks, including mobile cellular networks. The data mining results are used to enhance overall network quality of service.

  • Since 2018: Managing director ML2R
  • 2011-2018: Managing director SFB 876
  • 2008-2011: Research project leader PRO DV, Dortmund
  • 2001-2008: Researcher Communication Networks Institute, Prof. Dr.-Ing. Christian Wietfeld
  • Before 2001: Diploma degree in Computer Engineering


Research Topics


Stolpe/etal/2016b Marco Stolpe and Kanishka Bhaduri and Kamalika Das. Distributed Support Vector Machines: An Overview. In Michaelis, S. and Piatkowski, N. and Stolpe, M. (editors), Solving Large Scale Learning Tasks: Challenges and Algorithms, Vol. 9580, pages 109--138, Springer, 2016.
Lewandowski/etal/2012a Lewandowski, Andreas and Michaelis, Stefan and Wietfeld, Christian and Jirka Klaue and Martin Kubisch. In-Cabin Localization Solution for Optimizing Manufacturing and Maintenance Processes for Wide-Body Commercial Aircraft. In IEEE/ION Position, Location and Navigation Symposium (PLANS), Myrtle Beach, SC, 2012. Arrow Symbol
Michaelis/etal/2012a Michaelis, Stefan and Piatkowski, Nico and Morik, Katharina. Predicting Next Network Cell IDs for Moving Users with Discriminative and Generative Models. In Mobile Data Challenge by Nokia Workshop in conjunction with Int. Conf. on Pervasive Computing, Newcastle, UK, 2012. Arrow Symbol
Lewandowski/etal/2011a Lewandowski , A. and Koester , V. and Wietfeld , C. and Michaelis , S.. Support Vector Machines for Non-Linear Radio Fingerprint Recognition in Real-Life Industrial Environments. In International Technical Meeting, Institute of Navigation (ION), 2011. Arrow Symbol
Michaelis/2011a Stefan Michaelis. Balancing High-Load Scenarios with Next Cell Predictions and Mobility Pattern Recognition. In International Conference on Mobile Services, Resources, and Users (MOBILITY 2011), Barcelona, Spain, 2011.
Michaelis/2010a Michaelis, Stefan. Mustererkennung und Vorhersagbarkeit von Makromobilität zur intelligenten Dienstgütegarantie in breitbandigen Mobilfunknetzen. Technische Universität Dortmund, 2010.
Lewandowski/etal/2009a Lewandowski, Andreas and Niehoefer Brian and Wietfeld, Christian and Michaelis, Stefan and Krage, Rrainer. SAVE: A position-aware, safety information system with autonomous-networked Gas sensors. In 4th Conference on Safety and Security Systems in Europe, 2009.
Foley/etal/2008b Foley, C. and Balasubramaniam, S. and Botvich, D. and Donnelly, W. and Michaelis, S. and Schmutzler, J. and Stair, T.. Distributed Pervasive Services using Group Service communication supporting Body Area Networks. In Third International Conference on Body Area Networks, 2008.
Michaelis/etal/2008a Michaelis , S. and Lewandowski , A. and Daniel , K. and Wietfeld , C.. Macromobility Prognosis for high-priority Resource Reservation in Wireless Networks. In 5th IEEE International Symposium on Wireless Communication Systems (ISWCS), pages 184-188, Reykjavik, IEEE, 2008.
Michaelis/etal/2008b Michaelis, Stefan and Lewandowski, Andreas and Daniel, Kai and Yousaf, Zarrar and Wietfeld, Christian. A comprehensive mobility management solution for handling peak load in cellular network scenarios. In 6th ACM International Symposium on Mobility Management and Wireless Access (MobiWac), Vancouver, 2008.
Schmutzler/etal/2008a J. Schmutzler and C. Foley and S. Michaelis and S. van der Meer and C. Wietfeld. Dynamic Group Management as an Enhancement to Emergency Health Care Using Policies. In IEEE 10th International Conference on e-Health Networking, Application & Services, Vol. 0, pages 18-23, Singapore, IEEE, 2008.
Wolff/etal/2007a Wolff , A. and Michaelis , S. and Schmutzler , J. and Wietfeld , C.. Network-centric Middleware for Service Oriented Architectures across Heterogeneous Embedded Systems. In 11th International IEEE EDOC Conference, Middleware for Web Services Workshop, Vol. 1, pages 105-108, Annapolis, MD, USA, IEEE, 2007.
Michaelis/Wietfeld/2006a Michaelis , S. and Wietfeld , C.. Comparison of user mobility pattern prediction algorithms to increase handover trigger accuracy. In The 63rd IEEE Vehicular Technology Conference 2006, Vol. 2, pages 952-956, Melbourne, Australia, IEEE, 2006.
Michaelis/Wietfeld/2006b Michaelis , S. and Wietfeld , C.. Evaluation and comparison of prediction stability for user movement pattern detection algorithms. In 12th European Wireless Conference, pages 0, Athens, Greece, VDE Verlag, 2006.
Burda/etal/2004a Burda, R. and Folgmann, M. and Michaelis, S. and Seger, J. and Seifert, M.. Aspects of Switching System Analysis --- A Centuries Evolution. In International Journal of Electronics and Communications, AEÜ, 2004.
Gutierrez/etal/2004a Gutierrez, P.A.A. and Malone, P. and OFoghlu, M. and Michaelis, S. and Seger, J.. Acquisition, Modelling and Visualisation of inter-domain routing data. In Inter-domain Performance and Simulation Workshop, 2004.
Kock/etal/2004a Kock, A. and Michaelis, S. and Seger, J. and Miloucheva, I.. Inter-domain traffic engineering using advanced visual data mining technology. In International IEEE Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking (NEW2AN'04), 2004.
Michaelis/2004a Michaelis, Stefan. Mobility pattern detection for Quality of Service enhancements. In Proceedings of Inter-domain Performance and Simulation Workshop, 2004.
Michaelis/Seger/2003a Michaelis, S. and Seger, J.. Concept of configurable filters for Visual Data Mining Systems. In Proceedings Inter-domain Performance and Simulation (IPS) Workshop, 2003.
Michaelis/2001a Michaelis, S.. Verkehrslastprognose durch Wissensentdeckung. In Informatik Spektrum, Vol. 24, No. 4, pages 218--227, Berlin, Germany, Springer, 2001.
Michaelis/2001b Michaelis, Stefan. Approaches to Pro-Active Network Management using Tele-Traffic Theory and Data Mining Techniques. In Proceedings of the IIIS, 2001.
Michaelis/2000a Michaelis, Stefan. Techniken des Data Mining zur Analyse von Telekommunikationsnetzwerken. Fachbereich Informatik, Universitat Dortmund, Germany, 2000.