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Nico Schlitter

Gebäude449
Raum289
Tel.+49 721 608-26760

E-Mailnico schlitterPrd6∂kit edu

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.

Curriculum Vitae

 

 

 

Professional Career

12/2017 - today

Coodination Configuration Management atSteinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)

06/2008 - 04/2018
10 years

Director and Researcher at the grid computing project distributedDataMining

11/2014 - 11/2017
3 years

Lead and Operations Manager of the Smart Data Innovation Lab at Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)

07/2012 - 12/2014
2.5 years

Lead of the bwLSDF project at Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)

05/2011 - 04/2012
1 year

Research Associate at EAD Group, Faculty of Computer Science&Electrical Engineering, University of Applied Science Zittau/Görlitz
Simulation-based Analysis of Smart Power Grids; Development of an university-wide Grid Computing Infrastructure

11/2010 - 04/2011
6 months

IT Consultant for an Internet Start-Up in Melbourne, Australia
Management of the company's IT Infrastructure incl. XEN-Virtualisation and Database-, Web- and Email-Administration

04/2009 - 10/2010
1.5 years

Freelancer as IT Consultant & Trainer in the field of Data Analysis

09/2006 - 03/2009
2.5 years

Research Associate in the NGM BMWi project Ko-RFID at Faculty of Computer Science, Otto-von-Guericke-University Magdeburg
Conceptual Design of RFID-based Data Analysis for Process Optimization in a Global Supply Chain (including Organizational & IT Requirements, Data Privacy Protection, and Prototype Implementation)

04/2004 - 03/2006
2 years

Tutor at Faculty of Computer Science, Chemnitz Technical University
Conceptual Design and Implementation of Exercises and Hands-on Trainings in the field of Artificial Intelligence, Machine Learning, and Software Development

10/2004 - 03/2005
6 months

Data Analysis at enviaM AG
Modelling, Implementation, and Evaluation of Failure Prediction Methods in the high-voltage power grid

02/2002 - 03/2004
2 years

Data Analysis at prudsys AG
Benchmarking & Comparison of non-linear Classification Methods (prudsys Discoverer vs. SAS Enterprise Miner)

11/2001 - 06/2003
1.5 years

Founder of the Transport Logistic Plattform Frachtspion.de

Education

10/1999 - 04/2006

Study of Computer Science at Chemnitz Technical University with Diploma Degree
major in Artificial Intelligence, Machine Learning, and Software Development

08/1986 - 05/1998

School Education with Certificate of General University Maturity (Abitur) at Diesterweg-Gymnasium in Plauen
major in Mathematics and Physics