Dr. Nico Schlitter
Publications
Schlitter N., Ullrich M., Lässig J. Scalability and Performance of the Privacy-Aware Classification Method GenPAC. In: 2016 IEEE 15th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE Computer Society; 2016
Schlitter N., Falkowski T., Lässig J. DenGraph-HO: a density-based hierarchical graph clustering algorithm. Expert Systems. 2014; 31:469-479.
Schlitter N., Lässig J. Distributed Privacy Preserving Classification Based on Local Cluster Identifiers. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE Computer Society; 2012.
Schlitter N., Falkowski T., Lässig J. DenGraph-HO: Density-based Hierarchical Community Detection for Explorative Visual Network Analysis. In: Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer; 2011. p. 283-296.
Schlitter N., Falkowski T. Mining the Dynamics of Music Preferences from a Social Networking Site. In: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining. Athens: IEEE Computer Society; 2009. p. 243-248.
Schlitter N. A Protocol for Privacy Preserving Neural Network Learning on Horizontal Partitioned Data. In: Privacy Statistics in Databases (PSD) 2008. Istanbul,Turkey; 2008.
Schlitter N., Schilz S.T. Strategischer IKT-Einsatz schafft Wettbewerbsvorteile durch unternehmensübergreifendes Data Mining. In: Tagungsband ZFPro'08. Plauen: M&S-Verlags-OHG; 2008. p. 25-34.
Rauch-Gebbensleben B., Kähne F., Horton G., Schlitter N., Schilz S.T., Neike M. Ein Simulationsmodell zur Nachbildung von unternehmensübergreifenden Produktionsfehlern. In: Advances in simulation for production and logistics applications. Stuttgart: Fraunhofer IRB Verlag; 2008. p. 309-318.
Schlitter N., Kähne F., Schilz S.T., Mattke H. Potentials and problems of RFID-based cooperations in supply chains. In: Innovative Logistics Management: Competitive Advantages through new Processes and Services. Berlin: Erich Schmidt Verlag GmbH & Co.; 2007. p. 147-164.
CV
Professional Career
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12/2017 - today |
Coodination Configuration Management atScientific Computing Center (SCC), Karlsruhe Institute of Technology (KIT) |
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06/2008 - 04/2018 |
Director and Researcher at the grid computing project distributedDataMining |
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11/2014 - 11/2017 |
Lead and Operations Manager of the Smart Data Innovation Lab at Scientific Computing Center (SCC), Karlsruhe Institute of Technology (KIT) |
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07/2012 - 12/2014 |
Lead of the bwLSDF project at Scientific Computing Center (SCC), Karlsruhe Institute of Technology (KIT) |
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05/2011 - 04/2012 |
Research Associate at EAD Group, Faculty of Computer Science&Electrical Engineering, University of Applied Science Zittau/Görlitz |
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11/2010 - 04/2011 |
IT Consultant for an Internet Start-Up in Melbourne, Australia |
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04/2009 - 10/2010 |
Freelancer as IT Consultant & Trainer in the field of Data Analysis |
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09/2006 - 03/2009 |
Research Associate in the NGM BMWi project Ko-RFID at Faculty of Computer Science, Otto-von-Guericke-University Magdeburg |
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04/2004 - 03/2006 |
Tutor at Faculty of Computer Science, Chemnitz Technical University |
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10/2004 - 03/2005 |
Data Analysis at enviaM AG |
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02/2002 - 03/2004 |
Data Analysis at prudsys AG |
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11/2001 - 06/2003 |
Founder of the Transport Logistic Plattform Frachtspion.de |
Education
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10/1999 - 04/2006 |
Study of Computer Science at Chemnitz Technical University with Diploma Degree |
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08/1986 - 05/1998 |
School Education with Certificate of General University Maturity (Abitur) at Diesterweg-Gymnasium in Plauen |