Uwe Glässer

Professor, School of Computing Science


SFU Burnaby, TASC1 9239
Personal webpage:  www.cs.sfu.ca/~glaesser/


Habilitation (1999), Doctorate (1992), Diploma (1987), all in Computer Science, Paderborn University, Germany

Research interests

  • Cyber security analytics
  • Situational awareness and decision support
  • Formal engineering methods
  • Criminal network analysis

Software Technology Lab: www.stl.sfu.ca/

Teaching interests

  • Cybersecurity
  • Formal engineering methods
  • Specification and design

Recently taught courses

  • CMPT 318 Cybersecurity

Selected recent publications

  • Saeed Arasteh, Mohammad A.Tayebi, Zahra Zohrevand, Uwe Glässer, Amir Yaghoubi Shahir, Parvaneh Saeedi, and Hans Wehn. Fishing Vessels Activity Detection from Longitudinal AIS Data. In Proceedings of ACM SIGSPATIAL’20, International Conference on Advances in Geographic Information Systems, Seattle, WA, USA (2020).
  • Zahra Zohrevand and Uwe Glässer. Dynamic Attack Scoring Using Distributed Local Detectors. In Proceedings of ICASSP 2020, 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, Barcelona, Spain, 2892-2896 (2020).
  • Zahra Zohrevand, Uwe Glässer, Mohammad A. Tayebi, Hamed Yaghoubi Shahir, Mehdi Shirmaleki, and Amir Yaghoubi Shahir. Deep-Learning Based Forecasting of Critical Infrastructure Data. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management, Singapore (2017).
  • Mohammad A. Tayebi and Uwe Glässer. Social Network Analysis in Predictive Policing: Concepts, Models and Methods. Lecture Notes In Social Networks, Springer, October, 2016.
  • Mohammad A. Tayebi, Uwe Glässer, Martin Ester, Patricia L. Brantingham. Personalized Crime Location Prediction. European J. of Applied Mathematics, vol. 27, 422–450, Cambridge University Press (2016).
  • Zahra Zohrevand, Uwe Glässer, Hamed Yaghoubi Shahir, Mohammad A. Tayebi, Robert Costanzo. Hidden Markov Based Anomaly Detection for Water Supply Systems. In Proceedings of the 2016 IEEE International Conference on Big Data, Washington D.C., USA, IEEE, 1551–1560 (2016).
  • Mohammad A. Tayebi, Martin Ester, Uwe Glässer and Patricia L. Brantingham. Spatially Embedded Co-offence Prediction Using Supervised Learning. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, NYC, USA, ACM, 1789–98 (2014).

Listing on the DBLP CS Bibliography Server.