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Rasmus Ulslev Pedersen

Associate professor , Ph.D., Industrial Researcher, Associate Professor
Rasmus Ulslev Pedersen

Department of Informatics

Copenhagen Business School
Att. Associate Professor Rasmus Ulslev Pedersen
Dept. of Informatics
Embedded Software Laboratory
Howitzvej 60
DK - 2000 Frederiksberg
Tel.: +45 3815 2371
Fax:+45 3815 2401
E-mail: rup.inf@cbs.dk



Link to this homepage: uk.cbs.dk/staff/rasmus_pedersen

Affiliated with Embedded Software Laboratory

Board Member of Eclipse.dk
Board of Directors IDA-IT

Primary research areas

  • Micro Information Systems
  • Embedded systems
  • Data Mining/Intelligent Systems
  • Software Engineering

Administrative functions

Computer Science Coordinator Ha(IT)


Selected publications

Fall. 2008: R. Pedersen. (Invited paper) Toward a Platform for a Micro Information Systems and a Wireless Sensor Network Educational System using Lego Mindstorms, Sun Spot, TinyOS, and the Squawk Java Virtual Machine, Ubiquitous Knowledge Discovery, editors Michael May and Lorenza Saitta, Springer Hot Topics 2008
Fall. 2008: A. Hoto, R. Pedersen, and M. Wurst. Ubiquitous Data in Ubiquitous Knowledge Discovery, editors Michael May and Lorenza Saitta, Springer Hot Topics 2008
R. Pedersen, Micro Information Systems: A New Information Systems Research Field, Proceedings of the 1st International Workshop on Ubiquitous Knowledge Discovery, at ECML PKDD, 2008
R. Pedersen, TinyOS Education with LEGO MINDSTORMS NXT on NXTMOTE, in Learning from Data Streams, editors João Gama and Mohamed Gaber, Springer 2007
J. Gama and R. Pedersen. Predictive Learning in Sensor Networks, in Learning from Data Streams, editors João Gama and Mohamed Gaber, Springer 2007
R. Pedersen. TinyOS on Mindstorms NXT: NXTMOTE, In Demo Proceedings of the European Conference on Wireless Sensor Networks, 2007
R. Pedersen. Worst Case Execution Time Analysis of Sparse Kernel Learners, International Workshop on Knowledge Discovery from Data Streams, ECML 2006.
M. Schoberl and R. Pedersen, WCET Analysis for a Java Processor, In Proceedings of the Workshop on Java Technologies for Real-Time and Embedded Systems, p. 202-211, JTRES 2006.
R. Pedersen and M. Schoeberl, Exact Roots for a Real-Time Garbage Collector, In Proceedings of the Workshop on Java Technologies for Real-Time and Embedded Systems, JTRES 2006.
R. Pedersen and M. Schoeberl, An Embedded Support Vector Machine, In Proceedings of the Forth Workshop on Intelligent Solutions in Embedded Systems, WISES 2006, Vienna, Austria, June 2006.
R. Pedersen, Energy Measurements for a Support Vector Machine Classifier on Micro Java and TinyOS Nodes, 8th International Workshop on High Performance and Distributed Mining, HPDM, SDM 05, (Keynote by F. Zhao).
R. Pedersen and E. Jul (editors), First International Workshop on Data Mining in Sensor Networks as part of the SIAM International Conference on Data Mining, 2005
R. Pedersen, Using Support Vector Machines for Distributed Machine Learning, Ph.D. thesis, Distributed systems group, Dept. of Computer Science, University of Copenhagen, Committee: P. Bonnet, J. Ghosh, and P. Koch, 2005.
R. Pedersen, Using Support Vector Machines in Distributed and Constrained Machine Learning Contexts, Data Mining in Resource Constrained Environments Workshop at Fourth SIAM International Conference on Data Mining,SDM 2004.
R. Pedersen, Distributed Support Vector Machine, In Proceedings of International Conference on Intelligent Agents, Web Technology and Internet Commerce, IAWTIC 2003.

Tutorials/Demos:

ESWEEK 2009, “Inside the Open Source Lego Mindstorms NXT”.
ECML 2008, ” Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Networks using TinyOS and Lego Mindstorms NXT”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Antwerp, Belgium
KDUBIQ Summer School 1, ”Embedded Machine Learning in Sensor Networks”, Dortmund, Germany, 2007
HICSS 38, ” How to design and implement an intelligent ubiquitous information system”, Hawaii, USA, 2005
EUSAI, ”Designing and Implementing an Intelligent Ubiquitous Information, System in Java”, Eindhoven University of Technology, Eindhoven, The Netherlands, 2005
KDUBIQ 2nd Summer School, ”Machine Learning in Sensor networks”, Porto, Portugal


Last updated by 16/12/2009