The AI-Enabled Research groups at Uni.lu
In fields like health, finance, law, and environmental science, these research groups harness AI tools and methods to accelerate discovery, enhance predictive capabilities, and analyze complex data—using artificial intelligence as a powerful enabler rather than the primary focus.
Computational Engineering & Sciences
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Geodesy and Geospatial Engineering (GGE)
Research on:
- High-precision monitoring/digitizing for geodetic, geophysical, engineering and environmental applications using GNSS
- Remote sensing
- Reality capture.
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Foundation of Model-Driven Engineering (FMDE)
Research on:
- Foundation of Model-Driven Engineering (FMDE) and their applications
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Software engineering and Artificial intelligence Group on Ecosystem management (SAGE)
Research on:
- Methods and tools for Software Engineering and Artificial Intelligence applied to ecosystem management IT systems
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Collaborative and Socio-Technical Systems (COaST)
Research on:
- Analysis and design of socio-technical systems
- Focus mainly on mediated reality and educational applications
- Complex network dynamics, adaptivity, self-organization
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Transport Research Group (MobiLab)
Research on:
- Innovative solutions for grasping, modeling, and simulating present and forthcoming smart, sustainable transportation and mobility services, as well as logistics
Autonomous Vehicles and IoT
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Automation and Robotics (ARG)
Research on:
- Situational awareness for intelligent systems
- Optimisation for planning and automation
- Advanced control and execution
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Computer Vision, Imaging and Machine Intelligence (CVI2)
Research on:
- Real-world applications of computer vision, image analysis, and machine intelligence, with extensive development of AI approaches
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Signal Processing and Communications (SIGCOM)
Research on:
- Designing, emulating and testing new high-performance systems for the future of mobile and satellite communications
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Ubiquitous and Intelligent Systems (UBIX)
Research on:
- DUbiquitous and Intelligent Systems (UBIX)
Information Security
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Software Verification and Validation (SVV)Research on:
- Automated testing
- Requirement engineering
- Design-time and runtime verification
- Security analysis and testing
- Regulatory compliance
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Cryptology Research Group (CryptoLUX)
Research on:
- Cryptographic algorithms
- Security, privacy, and scalability aspects of blockchain-based technologies for FinTech
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Security, Reasoning and Validation (SerVal)
Research on:
- Security and reliability in software engineering, with a particular focus on AI, data science and decision-making.
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Services and Data Management (SEDAN)
Research on:
- Data analytics and machine learning in FinTech
- Security for blockchain applications and decentralised finance (DeFi)
- Security aspects of networking, vehicular networks and cloud-based infrastructures
Fintech
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Digital Financial Services and Cross-Organisational Digital Transformations (FINATRAX)Research on:
- Application and the impact of decentralisation technology on organisations in the private or public sector
Law
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DIgitaLisation Law And Innovation (DILLAN)
Research on:
- Digitalisation of EU legal systems
- AI and legal decision-making
- Blockchain and distributed ledger technologies
- Data governance
- Human vs. automated decision-making
Neuroscience
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AI Modelling and Prediction
Research on:
- predictive models from biological and clinical time-series data to understand disease mechanisms
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Biomedical Data Science
Research on:
- Integrative machine learning methods for the joint analysis of different types of omics data from patient and control subjects
Systems Biology
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Physics of Living MatterResearch on:
- Understanding how microbes adapt to and communicate with local surroundings
Bioinformatics
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Computational Biology
Research on:
- Developing computational models at different scales of biological organisation, including cellular, tissue and organ level, to address challenges in the areas of stem cell research, ageing and disease modelling
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Clinical and Translational Informatics
Research on:
- Data Integration and Interoperability
- AI and Predictive Modeling
- Natural Language Processing (NLP) and Synthetic Data
Space Systems
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Space Systems Engineering (SpaSys)Research on:
- Developing systems that are miniaturised and distributed, including ChipSats and CubeSats, and operated in swarms and formations
- In-space manufacturing and in-situ resource utilisation