Dipl.-Ing. Marwan Hassani

Research associate
Phone: +49-241-80-21906
Room:6327
Email:hassani@informatik.rwth-aachen.de
Publications: 26 entries

Research focus:

 

UMIC-LogoResearch cluster UMIC

Research area B: Mobile Stream Data Mining

Research area D: Energy awareness of mobile applications


 



MOA: Massive On-line Analysis Framework

 

 

e-cosmos

 

 

 

Reviewing activities:

  • Program committee member in:

    • BigMine 14
      3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (in conjunction with KDD 2014)
    • (HPCC 2014)
      The 16th IEEE International Conference on High Performance Computing and Communications - Track: Database Applications and Data Mining (2014)
    • (JMLR)
      Journal of Machine Learning Research (2013)
    • BigMine 13
      2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (in conjunction with KDD 2013)
    • Elsevier's Pervasive and Mobile Computing Journal
      Special issue on Information Management in Mobile Applications (2013)  
    • IMMoA 2013
      3rd International Workshop on Information Management for Mobile Applications (in conjunction with VLDB 2013)
    • MCCTA 2013
      The 2013 International Workshop on Mobile Cloud Computing Technologies and Applications (in conjunction with NBiS 2013)
    • SDAD 2012
      First International Workshop on Sentiment Discovery from Affective Data (in conjunction with ECML PKDD 2012)
    • IMMoA 2012
      2nd International Workshop on Information Management for Mobile Applications (in conjunction with VLDB 2012)
    • SensorKDD 2012
      6th International Workshop on Knowledge Discovery from Sensor Data (in conjunction with KDD 2012)
  • External reviewer in the following international conferences and journals:
    • KDD (Knowledge Discovery and Data Mining) 2009, 2010, 2012
    • ECML PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) 2011, 2012, 2013
    • EDBT (Extending Database Technology) 2010, 2011, 2012, 2013
    • ICDE (International Conference on Data Engineering) 2011, 2013, 2014
    • SDM (SIAM Conference on Data Mining) 2011
    • CIKM (International Conference on Information and Knowledge Management) 2012, 2014
    • PAKDD (The Pacific-Asia Conference on Knowledge Discovery and Data
      Mining) 2012
    • DASFAA (The International Conference on Database Systems for Advanced Applications) 2014
    • MDM (IEEE Mobile Data Management) 2012
    • SSTD (International Symposium on Spatial and Temporal Databases) 2011
    • Information Systems Journal

    • Data Mining and Knowledge Discovery (DMKD/DAMI) Journal
    • LWA FG-KDML 2011 (German Special Interest Group Workshop on Knowledge discovery and Machine Learning)
    • VAST 2013 (IEEE Visual Analytics Science and Technology)
    • GfKl 2012 (German Classification Society)
    • COMAD 2013 (International Conference on Management of Data)   
    •   

Teaching activities:

 

Supervising activities of Diploma/Master/Bachelor theses:

  • Daniel Töws, Bachelor thesis: Optimizing Sequential Pattern Mining of Interval-Based Events Within Multiple Streams (with Christian Beecks)
  • Pascal Spaus, Master thesis: A Multiple-Resolution Density-Based Stream Clustering Algorithm with Adaptive Thresholds
  • Michael Brysch, Diploma thesis: Structural Anonymization of Massive Networks (with Roland Assam)
  • Lyubomir Georgiev, Diploma thesis: Extending the GPU Scheduling System GPUSched in a Heterogeneous Environment for Data Stream Mining (external supervision with Ayman Tarakji, LfBS, RWTH Aachen)
  • Rajveer Saini, Diploma thesis: Subspace Anytime Stream Clustering (with Philipp Kranen)
  • Yunsu Kim, Bachelor thesis: An Effective Evaluation Measure for Subspace Clustering in Stream Data (external supervision, with Prof. Choi, POSTECH, Korea)
  • Stephan Wels, Bachelor thesis: Effizientes Design und Auswertung von Experimenten mittels kombinatorischer Methoden (with Philipp Kranen)
  • Pascal Spaus, Bachelor thesis: Density based model for subspace clustering on stream data
  • Adriola Faqolli, Master thesis: Self-Organizing and Energy-Efficient Node Clustering in Sensor Networks (with Emmanuel Müller)