Artificial Intelligence Portal Luxembourg is a one-stop shop for researchers, industry representatives and private persons interested in Artificial Intelligence. We offer a concise description and an easy search of the activities, projects, topics and people in the huge field of Artificial Intelligence in Luxembourg. We help you to find what you need if you:

  • search for experts in a specific area for an interview or a public debate,
  • search for project partners working in a specific area,
  • need a professional opinion or advice on a problem related to Artificial Intelligence and Digitization.

ILIAS

ILIAS

The Intelligent and Adaptive Systems Research Group is led by Prof. Christoph Schommer and it is home for six research units. ILIAS investigates the theoretical foundations and algorithmic realizations of Intelligent Systems for complex problem solving and decision making in uncertain and dynamic environments.

Big Data and Data Science

The Big Data group is a new research group at the University of Luxembourg that has been established in February 2017. The group investigates 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.

For more information, contact Prof. Dr. Martin Theobald

Individual and Collective Reasoning

The Individual and Collective Reasoning Group (ICR) is 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. ICR is involved in the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The group currently counts more than 15 researchers and is strongly engaged in international cooperation. Our research areas are normative multi-agent systems, autonomous cognitive agents, computational social choice, and the foundations of logic-based knowledge representation and reasoning.

For more information, contact Prof. Dr. Leon van der Torre

Information Theory and Stochastic Inference

Basic areas of competence of the team of Ulrich Sorger are probability, information, and coding theory. The main directions are decoding of error control codes and stochastic interference, where the decoding of error correcting codes can be considered as stochastic inference problem respectively the inversion of a stochastic map. Recent results show that encoding / decoding techniques exist that perform well close to theoretical limits. The team investigates these techniques and their applicability to other stochastic inference problems. Network Traffic Modeling concerns the development of stochastic network traffic models which can help to improve performance of data transfers and network security. The aim is to use these network traffic models to derive useful conclusions from the monitored traffic concerning local congestions, localization of spam sources or denial of service (flood) attacks. Particular attention is focused on elaboration of a new approach to the detection of local network congestions based on spectral analysis of multivariate stationary processes.

For more information, contact Prof. Dr. Ulrich Sorger

Knowledge Discovery and Mining

We are interested in data exploration and in elaborate on intelligent and adaptive algorithmic concepts to discovery information about the data. Current research is related to the fields of Artificial Companions and Chatbots, Emotion Detection in Texts with Deep Learning, and Topic Modeling. We participate the PRIDE Programs Digital History and Hermeneutics (DHH).

For more information, contact Prof. Dr. Christoph Schommer

Parallel Computing and Optimisation

We conduct research on parallel and evolutionary computing, in particular how different species may co-evolve featuring different individuals taking local decisions while ensuring global objectives (e.g., search and optimization). This target is approached through various facets like loosely coupled genetic algorithms, distributed immune systems, and iterated multi-player prisoner dilemma. The main application domains of the team fit the University of Luxembourg priorities: – security, trust and reliability, for example: cryptology, intrusion detection, and reliable scheduling and routing on new generations of networks such as p2p, ad-hoc, and hybrids. – sustainable development, for instance, Energy Efficient Data Centers – systems biomedecine, for example, genomic sequencing, proteine folding, genomic modeling.

For more information, contact Prof. Dr. Pascal Bouvry

Decision Systems

Rhe team focuses on contributions to Algorithmic Decision Theory.

For more information, contact Prof. emeritus Dr. Raymond Bisdorff

For more information, visit ilias.uni.lu

AI Robolab

AI Robolab

The group was founded in 2009 to promote inclusive social robotics in fields like psychotherapy, physiotherapy, and education. Leaded by Prof. Leon Van Der Torre, AI Robolab fosters the use of AI and social robots in all kind of public spaces.

For more information, visit https://airobolab.uni.lu/

LuxAI

LuxAI

LuxAI is a spin-off from the University of Luxembourg specialized in disruptive robotic solutions for education, health-care and entertainment. Their mission is making socially assistive robots economical and user-friendly, in order to enable all teachers, therapists and caregivers to use advanced robots for their everyday work of improving the health and education of people.

For more information, visit http://www.luxai.eu

HPC

High Performance Computing

High-Performance Computing (HPC) and Big Data domains has been chosen by the ministry to represent the country within PRACE (Partnership for Advanced Computing in Europe). This implements a new crucial step in the gouvernemental priority aiming at accelerating the development of world-class HPC technologies in Luxembourg. The University of Luxembourg representatives are the  Delegate (Prof. Pascal Bouvry) and Advisor (Dr. Sebastien Varrette),

For more information, visit https://hpc.uni.lu/

Data-driven simulation for computer-assisted surgery

Data-driven simulation for computer-assisted surgery

Stéphane Bordas, in charge of the Computational Sciences Research Priority area at the University of Luxembourg, has been focusing on the field of Computational Mechanics with applications to aerospace engineering and bio-engineering. Since 2008 the Frenchman has concentrated on developing methods for the simulation of surgical interventions, in particular those involving cutting, tearing, and needle insertion.

Laser technology, robotics and lean management with practical applications

Laser technology, robotics and lean management with practical applications

Peter Plapper leads different engineers in the University of Luxembourg’s Laboratory. Assembly robots, lean management and laser technology are his main fields.

For more information, visit https://plapper.com/

Automation and Robotics Research Group

Automation and Robotics Research Group

The group was founded in 2012 and it is led by Prof. Holger Voos. It has two main research directions: the first, mobile robots such as service robots, highly automated cars and drones; the second, control and automation of large-scale distributed systems.

For more information, visit SnT Automation & Robotics Research Group

Legal Informatics Luxembourg

LuxLI

Luxembourg Legal Informatics Portal.

http://www.luxli.lu