Welcome to the website of the Intelligent Embedded Systems (IES) Lab at the University of Kassel, Germany.
We develop and apply innovative techniques that increase the “machine intelligence” of embedded computer systems.
A computer system can be characterized as being “intelligent” if it is aware of its own skills and needs and if it is able to use this knowledge to maintain or even to improve its abilities in a dynamic environment. Moreover, if such a system interacts with other, similar systems or humans, it must be aware of their skills and needs in order to communicate efficiently, to collaborate with them, or to behave pro-actively. Thus, machine learning is a key issue in our work. Some other topics are soft computing, pattern recognition, data mining, specification techniques for embedded systems, and real-time systems.
If you are interested in our work, do not hesitate to drop us a line. We will be happy to answer your questions.
IES owns three NAO humaniod robots - Tick, Trick, and Track (i.e., Huey, Dewey, and Louie)! We will offer practical courses starting in summer 2013 and all students are invited to participate.
The University of Kassel has nominated the PhD thesis "Analyse von Zeitreihen unter Verwendung orthogonaler Polynome am Beispiel der Online-Motivsuche und ihrer Anwendungen" (Thiemo Gruber) for the GI 2012 dissertation award.
Our article "Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS" (by T. Reitmaier and B. Sick) is now published in Elsevier's INFORMATION SCIENCES journal.
Bernhard Sick has been appointed full professor of computer science at the University of Kassel. There, he will head the "Intelligent Embedded Systems Lab". The CIS Lab will move again! And it will be renamed ...
Our paper "Quantitative Emergence – A Refined Approach Based on Divergence Measures" received the best paper award of the fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SAS0) 2010.
Bernhard Sick hat been appointed professor of computer science and mathematics in engineering at the University of Applied Sciences in Deggendorf, Germany. The CIS Lab moves to Deggendorf!
A project focusing on the development of a mountain rescue system based on smartphones will be funded by the BMWi within the EXIST program. The students who will set up their own business with that system are Martin Bauer, Bernhard Kühbeck and Thomas Oberleitner.
The journal article "So Near And Yet So Far: New Insight Into Properties Of Some Well-Known Classifier Paradigms" (D. Fisch, B. Kühbeck, B. Sick, S. J. Ovaska) has been accepted for publication by Elsevier's "Information Sciences" journal.
The journal article “Temporal Data Mining Using Shape Space Representations of Time Series” (E. Fuchs, T. Gruber, H. Pree, B. Sick) has been accepted for publication by Elsevier's "Neurocomputing" journal.
The journal article “On the Versatility of Radial Basis Function Neural Networks: A Case Study in the Field of Intrusion Detection” (D. Fisch, A. Hofmann, B. Sick) has been accepted for publication by Elsevier's "Information Sciences" journal.
The journal article “SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis” (D. Fisch, T. Gruber, B. Sick) has been accepted for publication by the IEEE Transactions on Knowledge and Data Engineering.
To all our students, friends, colleagues and fellow CISers: We wish you some restful days – without emails! See you next year!
Tobias Reitmaier joins the CIS team as research associate. He is working in the field of collaborative data mining and knowledge discovery.
Professor Seppo J. Ovaska from the Helsinki University of Technology in Finland is guest of the CIS Lab for one week. We develop criteria to assess the “interestingness” of knowledge found with data mining techniques.
Fabian Förg joins the CIS team as a student assistant. He will be responsible for the tutorials on "Schaltnetze und Schaltwerke".
Raphael Hoffmann from the University of Washington in Seattle will be guest of the CIS Lab during this winter term. Welcome!
The journal article “On-Line Signature Verification with Support Vector Machines Based on LCSS Kernel Functions” (C. Gruber, T. Gruber, S. Krinninger, B. Sick) has been accepted for publication by the IEEE Transactions on Systems, Man, and Cybernetics – Part B (Cybernetics).
The journal article “On-line Segmentation of Time Series Based on Polynomial Least-Squares Approximations” (E. Fuchs, T. Gruber, J. Nitschke, B. Sick) has been accepted for publication by the IEEE Transactions on Pattern Analysis and Machine Intelligence.
We welcome Ferdinand Kastl who joins the CIS group as new research assistant on October, 1.
The journal article “Periodical Switching between Related Goals for Improving Evolvability to a Fixed Goal in Multi-Objective Problems" (S. J. Ovaska, B. Sick, A. H. Wright) has been accepted for publication in the Information Sciences journal of Elsevier.
The journal article “Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks” (E. Fuchs, C. Gruber, T. Reitmaier, B. Sick) is now available online at the website of the IEEE Transactions on Neural Networks (DOI: 10.1109/TNN.2009.2024679)
The German Research Foundation (DFG) approved the funding for our research project “On-Line Fusion of Functional Knowledge Within Distributed Sensor Networks” in the third phase of the priority program “Organic Computing”.
The journal article “On-Line Intrusion Alert Aggregation With Generative Data Stream Modeling” (A. Hofmann, B. Sick) has been accepted for publication in the IEEE Transactions on Dependable and Secure Computing.