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Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS)

Be welcome!

The Intelligent and Adaptive Systems Research Group (ILIAS; see ilias.uni.lu) is home to 5 Professors, 6 Guest Professors, 16 PostDoc researcher, as well as to 20 Doctoral students. ILIAS investigates the theoretical foundations and algorithmic realisations of Intelligent Systems for complex problem solving and decision making in uncertain and dynamic environments. Our activities include interdiscplinary research that fits to the rapidly growing role of Artificial Intelligence, Big Data, and Robotics.The collaboration with the Interdisciplinary Centres SnTLCSB, and C2DH as well as with the Luxembourg School of Finance (LSF), the involvement with the High Performance Computing facility (HPC), and the collaboration with the Computational Sciences initiative reflect ILIAS's significance for Luxembourg’s strategic priorities and future.The research areas are orthogonal and adhere to the following disciplines:

  • Big Data: we investigate scalable architectures for the distributed indexing, querying and analysis of large volumes of data. Specific focus areas include information extraction, probabilistic and temporal database models as well as distributed graph and streaming engines.
  • Information Theory and Stochastic Inference: the main research topics here are Signal Processing, Error-Correcting Codes, and Probabilistic Graphical Models.
  • Knowledge Discovery and Mining: the research areas include fundaments and applications of Machine Learning including Deep Learning, the use of Natural Language Processing, for example, in Chatbots and Companions, and Data/Text Mining.
  • Knowledge Representation and Reasoning: we concern normative reasoning in Multi-Agent Systems, particularly, Logics for Security and Compliance as well as Machine Ethics, Legal Knowledge Representation, Inference under Uncertainty and Inconsistency, Logic-based models for intelligent Agents and Robots, and Computational Choice.
  • Parallel Computing and Optimisation: the research on Parallel Computing and Optimisation Techniques, in particular how different species may co-evolve taking local decisions while ensuring global objectives, tackle large and difficult problems. The main application domains are Security, Trust and Reliability, Reliable Scheduling and Routing on new generations of networks, and Sustainable Development and Systems Biomedicine.


  • Dr Alexander Steen, who has recently performed his PhD at the FU Berlin and who has joined ILIAS in July 2018, has been awarded GI Junior Fellowship. Congratulations!
  • Our outreach activities are manifold, diverse, and interdisciplinary, and span collaborations with other departments. We regularly do presentations at schools and student fairs and cooperate with industry, if our expertise for the society is requested. We motivate young students to work with Robots within the RoboLab or with the Robo-Football Team and prepare them for new upcoming disciplines in Artificial Intelligence, Machine Learning, and beyond.
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