Startseite // Forschung // FSTM // Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS)

Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS)



The Intelligent and Adaptive Systems research group is concerned with all aspects relating to Artificial Intelligence. In particularly, the theoretical foundations and the algorithmic realization of data and information processing systems, Big Data Analytics, Machine Learning Applications, Human-Computer Interaction, Natural Language Processing, and Reasoning in complex and dynamic environments given limited resources and incomplete or uncertain information. ILIAS supports an interdisciplinary working with the interdisciplinary centres (C2DH, LCSB, SnT), the Faculties FHSE and FDEF, industry, and national and European instutions.



The BigData Research Group: We investigate scalable architectures for the distributed indexing, querying and analysis of large volumes of data. A particular focus is put on information extraction, probabilistic databases and the development of distributed graph- and streaming engines. We thus investigate the whole lifecycle of semantic-data management, beginning with the extraction of entities and relations from textual and semi-structured sources and on to data-cleaning aspects and probabilistic inference. We intensively worked with the Hadoop and Spark platforms for research and teaching in the past, but are also highly interested in developing custom prototypes based on proprietary, asynchronous communication protocols.

Contact: martin<dot>theobald<at>uni<dot>lu


The Individual and Collective Reasoning Research Group: we are an interdisciplinary research team at the University of Luxembourg which is driven by the insight that intelligent systems (like humans) are characterized not only by their individual reasoning capacity, but also by their social interaction potential. Its overarching goal is to develop and investigate comprehensive formal models and computational realizations of individual and collective reasoning and rationality.

Contact: Leon<dot>vanderTorre<at>uni<dot>lu Personal Group


The Knowledge Discovery and Data Mining Research Group: we are interested in the intersection of Artificial Intelligence, particularly Machine Learning, and Data Science in order to discover novel information in/about data (and understanding its contents). Current research is related to Text Analytics (Topic Identification, Sentiment Analysis, Feature Detection), Artificial Companions and Chatbots, and Anomaly Detection.

Contact: christoph<dot>schommer<at>uni<dot>lu Personal Group Homepage: and


The Parallel Computing and Optimisation Research Group conducts research on parallel computing, search and optimization techniques, in particular new research topics include decentralized optimization techniques that nevertheless lead to a good global behavior of the system. The team is specialised in large-scale discrete/combinatorial problems.

Contact: pascal<dot>bouvry<at>uni<dot>lu Personal Group Homepage:


The Computational Interaction group uses computational methods and data-driven models to enable, support, explain, and improve any kind of user interaction. In particular, our work addresses both fundamental and applied research activities in Human-Computer Interaction, Machine Learning, Information Retrieval, and Natural Language Processing.

Contact: luis<dot>leiva<at>uni<dot>lu


Main Contact