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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 SnT, LCSB, 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.

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. The 2017 ILIAS Distinguished Lecture Series of 12 talks, given by international recognized experts from industry, politics, and science, were followed by more than 400 listeners. Since Q4/2017, we are in close contact to the Luxembourgish Ethics Council concerning the questions to Artificial Intelligence and Ethics.

Robots play Football

we would like encouraging students to join the Luxembourg United-RoboFootball Team and to contribute to it by an interdisciplinary research in fields that concern, for example, the recognition of objects in a football scenery, the understanding of a scenery, the planning of actions, the development of a strategy, the communication between robots via natural languageor others.

Excellent project suggestions will be supported by a financial grant for the duration of up to 6 months. In case that a thesis project (in particular: Master; eventually Bachelor) can be combined, then the best thesis projects receive a financial price instead.

In case of interest, please send a message with subject line "Luxembourg United" to both Prof Holger Voos (SnT; Email: holger.voos@uni.lu) and Prof Christoph Schommer (ILIAS; Email: christoph.schommer@uni.lu) until the 1st of February. The email should contain a brief description of a project (= problem statement) of up to 1 page plus a short CV (1 page max). If there are questions, do not hesitate contacting us.

An official begin is foreseen to the 19th of February 2018. The project is a common activitiy between SnTand the ILIAS Research Lab (AI Lab).