I have moved to Carnegie Mellon University, School of Computer Science as a PostDoc. My new personal website is available here.

Research Focus: 

• Graph Mining
• Subspace Clustering
• Data Mining in high dimensional databases

Tutorials at international conferences, invited talks:

• [PAKDD 2012] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kuala Lumpur, Malaysia (May/June 2012)
• [ICDE 2012] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the IEEE International Conference on Data Engineering, Washington, DC, USA (April 2012)
• [SDM 2011] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the SIAM International Conference on Data Mining, Mesa, Arizona, USA (April 2011)
• [ICDM 2010] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the IEEE International Conference on Data Mining, Sydney, Australia (December 2010)
• Slides of our tutorial are available here.
• Invited Talk "Subspace Clustering: Introduction and Advanced Models", at the University of Antwerp, Belgium (April 2011)
• Invited Talk "Subspace Clustering: Recent Challenges and Future Directions", at the Simon Fraser University, Vancouver, Canada (June 2011)

Organization and Editorships:

• [MultiClust at MLj] Guest Editor for the Machine Learning journal. Special issue "MultiClust: Discovering, Summarizing and Using Multiple Clusterings"
• [MultiClust 2011] "2nd MultiClust Workshop on Discovering, Summarizing and Using Multiple Clusterings" held in conjunction with ECML PKDD 2011, Athens, Greece 5-9 Sep. 2011

Open Source Project for Subspace Clustering:

OpenSubspace:
An Open Source Framework for Evaluation and Exploration of Subspace Clustering Algorithms in WEKA

http://dme.rwth-aachen.de/OpenSubspace/

Teaching:

• Lecturer of the courses
  • Exploring High-dimensional Data: Advanced Mining Techniques, SS 2012
  • Exploring Temporal and Graph Data: Mining & Retrieval, WS 2011/2012
• Exercises and assistance for the courses
  • Advanced Data Mining Algorithms, SS 2010
  • Data Intensive Computing, WS 2009/10
  • Data Analysis and Data Visualization, WS 2009/2010
  • Algorithms and Data Structures, SS 2009
  • Models of Data Exploration, WS 2008/09
• Regularly supervision of seminar theses and practical courses

Reviewing service:

• Program committee member:
  
  • SIGMOD 2013
    ACM SIGMOD International Conference on Management of Data
  • CIKM 2012
    ACM International Conference on Information and Knowledge Management
  • ECML PKDD 2012
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • MultiClust 2011 (chair), 2012
    Workshop on Discovering, Summarizing and Using Multiple Clusterings
• International Journals:
  • VLDBJ (The VLDB Journal)
  • DAMI (Data Mining and Knowledge Discovery Journal)
  • DKE (Data & Knowledge Engineering Journal)
  • TKDE (IEEE Transactions on Knowledge and Data Engineering)
• External reviewer at international conferences:
  
  • KDD 2009, 2010, 2011, 2012
    Knowledge Discovery and Data Mining
  • SDM 2010, 2011
    SIAM International Conference on Data Mining
  • PAKDD 2012
    Pacific-Asia Conference on Knowledge Discovery and Data Mining
  • ICDE 2009, 2010, 2013
    IEEE International Conference on Data Engineering
  • EDBT 2009, 2010, 2011
    International Conference on Extending Database Technology
  • SSDBM 2010
    Statistical and Scientific Database Management
  • MDM 2012
    IEEE International Conference on Mobile Data Management

Supervised Bachelor, Master and Diploma Thesis

• Holger Hoffmann (with Brigitte Boden)
• Sebastian Raubach (MA; with Ines Färber)
• Patrick Gerwert (with Ines Färber)
• Matthias Hannen (with Ines Färber)
• Rubaiyat Sadat (with Brigitte Boden)
• Kittipat Virochsiri (with Ines Färber)
• Sascha Thiesies (with Sergej Fries)
• Simon Wollwage (with Hardy Kremer)
• David Kesselheim (with Anca Ivanescu and Hardy Kremer)
• Thomas Mausbach (with Ines Färber and Hardy Kremer)
• Arne Held (with Hardy Kremer)
• Sebastian Raubach (BA; with Emmanuel Müller)
• Jens Peveling
• Brigitte Boden
• Charlotte Laufkötter (with Hardy Kremer)
• Dominik Lenhard (with Hardy Kremer)
• Ines Färber (with Emmanuel Müller)
• Sergej Fries (with Philipp Kranen)

Research Background:

• Visiting researcher at the Simon Fraser University, Vancouver, Canada (May and June 2011)
• Research assistant at the Data Management and Data Exploration Group, RWTH Aachen University (since July 2008)
• Promotion [Ph.D.] at the RWTH Aachen University (June 2008 - March 2012)
  • Dissertation (Ph.D. thesis) "Subspace Clustering for Complex Data"
  • Graduated with distinction "summa cum laude"
• Studies in Computer Science at RWTH Aachen Universiy (October 2003 - May 2008)
  • Diplomarbeit (Master thesis) "Approximations for efficient subspace clustering in high-dimensional databases"
  • Graduated with distinction

Academic Honors:

• DAAD scholarship for postdoctoral research at the Carnegie Mellon University, 2012
• ECML PKDD Best Paper Award for the paper "DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors", 2011
• Friedrich-Wilhelm-Preis for diploma thesis on "Approximations for efficient subspace clustering in high-dimensional databases", 2009
• Springorum-Denkmünze for Diplom (Master of Science) in Computer Science with overall mark 'excellent', 2009
• Schöneborn-Preis for the year's best Vordiplom (Bachelor degree equivalent) in Computer Science at the RWTH Aachen University, 2006

Further Links:

• DBLP Trier -- DBLP Trier 2
• Microsoft Academic Search
• ACM Digital Library
• Google Scholar

(c) Stephan Günnemann, Stephan Guennemann, Stephan Gunnemann