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ILIAS
- Interdisciplinary Lab for
Intelligent and
Adaptive Systems
WELCOME
AT OUR RESEARCH LAB !
Who we are . . .
ILIAS is a cross-disciplinary
research group of the Computer Science Research Unit within the Faculty
of Sciences, Technology, and Communication at the University of
Luxembourg. It combines expertise from computer science, information
theory, mathematics, and logic.
What we want . . .
Our main goal is to realize and develop research and
teaching in the area of intelligent and adaptive systems at the
University of Luxembourg (and beyond).
What
we are doing . . .
Our
overarching subject is information processing in complex and dynamic
environments given limited resources and incomplete or uncertain
knowledge. We investigate the theoretical foundations and the
algorithmic realizations of systems performing complex problem solving
with a high degree of autonomy, i.e. intelligent, and exploiting learning to deal with
opaque and dynamic contexts, i.e. adaptive.
Our
research axes . . .
- Evolutionary
techniques and
multi-agent systems (Pascal Bouvry, Riad
Aggoune)
Our
researchers . . .
- Professors:
Pascal Bouvry - Christoph Schommer -
Ulrich Sorger - Leon van der Torre
- Postdocs
and senior researchers: Riad
Aggoune - Zdzislaw Suchanecki - Emil Weydert
- Doctoral
students: Grégoire Danoy - Michael Hilker -
Luc Hogie - Minh Le Hoai - Foued Melakessou - Apivadee Piyatumrong -
Ben Schroeder - Marcin Seredynski - Cathy Wolosewicz - Ralph Weires
Our
internal projects . . .
- Adam - Adaptive
Associative Memories for Active Data Streams
- Dmax - Iteration by
Distance Constrained Maximum Cross Information
- Evo-Business -
Evolutionary Computing for E-business
- Intra - Internet
Traffic Management and Computer Network Protection
- Trias - Logic of
Trust and Reliability of Information Agents in Science
Our
external projects . . .
- Abassmus - Agent-Based Adaptive and
Secure Service Provisioning for Mobile Users (+COMSYS))
- Soni -
Self-Organizing Network Infrastructures (+COMSYS)
- Sim - Secure
Identity Management (+CRPHT, FNR/SECOM)
- TeseGrad -
Techniques for Securing Grids and Ad Hoc Networks (+LACS, FNR/SECOM)
Our teaching
activities . . .
Advanced
Algorithmics, Multi-Agent Systems, Data Mining, Semantic Web,
Stochastic, Fundamentals of Coding Theory
- Master of Science in
Computer and Information Sciences (just starting)
Intelligent
Systems, Information Theory and Coding, Evolutionary Computing,
Knowledge Discovery and Data Mining, Applied Data Mining, Data Mining
in Security, Intelligent Information Systems, Agents and
Uncertainty, Advanced Knowledge Representation, Selected Topics in
Artificial Intelligence, Queuing Theory ( more
info)
- Seminar Series Artificial
Intelligence (SS 05) (organized by Christoph Schommer)
- Final Booklet
(1.7MB)
- Jean Francois Perrot, University of Paris VI: Introduction to
Artificial Intelligence (0.2 MB)
- Verena Hafner, Sony Center Paris: Robots: Tools or Toys? Some
Answers from Biorobotics, Developmental and Entertainment Robotics
(1.6MB)
- Justus Piater, University of Liege:Computer Vision (4.4 MB)
- Thomas Laengle, University of Karlsuhe and Fraunhofer
Institute, Karlsruhe: Multi-Agent-Approach
for Control and Diagnosis of Complex Production Systems (3.0MB)
- Toni Bollinger, IBM Research and Development: Data Mining (1.1 MB)
- Paul Buitelaar, DFKI Saarbrücken: Language Technology in
Knowledge Markup and Ontology Evolution (3.6 MB)
- Rene Witte, Uni Karlsruhe and CLaC Lab, Concordia
University, Montreal: Text
Mining
- Torsten Schaub, University of Potsdam:Knowledge Representation and
Reasoning via Answer Set Programming (0.2 MB)
Contact . . .
Send an email to one of us,
noting that xy: x.y@uni.lu
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