Hasibur Rahman’s new homepage can be found here:



  1. Hasibur Rahman, “Distributed Clustering of Heterogeneous Context Information in Internet-of-Things”, Submitted to Special Issue on ‘Data-Centric Intelligent Computing’, June 2017
  2. [JP] Hasibur Rahman, R. Rahmani, “Enabling Distributed Intelligence Assisted Future Internet of Things Controller (FITC)“, article in press Elsevier Applied Computing and Informatics, May 2017, DOI:
  3. [CP] Hasibur Rahman, R. Rahmani, T. Kanter, “Multi-Modal Context-Aware reasoNer (CAN) at the Edge of IoT“, The 8th International Conference on Ambient Systems, Networks and Technologies, published by Elsevier Procedia Computer Science .
  4. 2016

  5. [CP] Hasibur Rahman, R. Rahmani, T. Kanter, M. Persson, and S. Amundin.  Reasoning Service enabling SmartHome Automation at the Edge of Context Networks Springer WorldCist’16 – 4th World Conference on Information Systems and Technologies, March 2016, Recife, Brazil.
  6. [BC] Hasibur Rahman, R. Rahmani, T. Kanter.:  Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller, Springer book series Studies in Computational Intelligence: Intelligent Systems and Applications
  7. 2015

  8. [JP] Hasibur Rahman, T. Kanter and R. Rahmani, Supporting Self-Organization with Logical-clustering Towards Autonomic Management of Internet-of-Things. In International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 2, pp. 24-33, 2015.
  9. [CP] Hasibur Rahman, T. Kanter and R. Rahmani, Enabling Distributed Context Entity Discovery for an Internet-of-Things Platform IEEE Intelligent Systems Conference 2015, November 2015, London, UK.
  10. [T] Hasibur Rahman Self-Organizing Logical-Clustering Topology for Managing Distributed Context Information, Licentiate thesis, Department of Computer and Systems Sciences, Stockholm University.
  11. 2014

  12. [JP] Hasibur Rahman, R. Rahmani and T. Kanter, Realising Dynamism in MediaSense Publish/Subscribe Model for Logical-Clustering in Crowdsourcing. In International Journal of Advanced Research in Artificial Intelligence, Vol. 3, No. 11, pp. 49-59, The Science and Information (SAI) Organization, 2014.
  13. [CP] Hasibur Rahman, R. Rahmani and T. Kanter, Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing via MediaSense. pp. 64-71, IEEE Press, 2014.
  14. 2013

  15. [JP] R. Rahmani, Hasibur Rahman, and T. Kanter,On Performance of Logical-Clustering of Flow-Sensors, International Journal of Computer Science Issues (IJCSI), Vol. 10, Issue 5, No 2, pp. 1-13, September 2013.
  16. [JP] R. Rahmani, Hasibur Rahman, and T. Kanter, Network Traffic Efficiency Analysis for Logical Clustering of Flow-Sensors, International Journal of Advancements in Computing Technology (IJACT), Vol. 5, No. 13, pp. 1-13, August 2013.
  17. [CP] R. Rahmani, Hasibur Rahman, and T. Kanter, Context-Based Logical Clustering of Flow Sensors – Exploit-ing HyperFlow and Hierarchical DHTs In Proceeding(s) of 4th International Conference on Next Generation Information Technology, 2013 ICNIT, June 2013.
  18. [CP] M. Eriksson, Hasibur Rahman, F. Fraile, and M. Sjöström,Efficient Interactive Multicast over DVB-T2: Utilizing Dy-namic SFNs and PARPS, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, IEEE Conference Proceedings, 2013.
  19. 2012

  20. [T] Hasibur Rahman IP Multicasting over DVB-T/H and eMBMS: Efficient System Spectral Efficiency Schemes for Wireless TV Distributions, MSc thesis, Mid Sweden University

Poster Presentations

  1. Hasibur Rahman, Distributed Context Information Clustering for Internet-of-Things
    , EIT-ICT labs Stockholm Results Day- 2014, Electrum, KTH Kista, November 2014


  • [JP] = Journal publication
  • [CP] = Conference publication
  • [BC] = Book Chapter
  • [T] = Thesis

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