Projects

NEOD

NEOD consist in designing and training Generative AI models for the detection of Near-Earth Objects from radio data by using the MeluXina supercomputer.

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MOSAICO

The goal of MOSAICO is to create a scalable framework for reliable, unbiased, and high-quality generative AI applications in software engineering.

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R-MMS

R-MMS aims to bridge this gap by introducing a Software-as-a-Medical Device (SaMD) that offers a real-time, at-home solution for tracking MS progression and treatment efficacy.

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CIRCUSTAIN

Advanced sustainability assessment of the circular economy applied to construction PVC, focusing on integrated labour effects

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HIVER

Science meets professional practice in agriculture

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MILAN2

During the MILAN2 collaborative project, LIST and VAONIS will collaborate for the design and development of cutting-edge AI-powered techniques to process astronomical images.

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INTROSupply

The objective of INTROSupply is to build a new automated supply chain management platform made in Luxembourg that enables companies to not only be compliant with due diligence [...]

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AURELA-AI

AURELA-AI is designed to develop new Large Language Model-based AI that is capable of autonomously processing legislative and jurisdictional documents within a secure data [...]

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FORFUS-RT2.1

PhD project on drought and heat damage to trees, part of the "Forest function under stress" doctoral training unit (FORFUS)

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FORFUS-RT1.4

PhD project on stream carbon export from forested catchments, part of the "Forest function under stress" doctoral training unit (FORFUS)

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FORFUS

Doctoral training unit on the effects of multiple stressors on forest function

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PAMLA

PAMLA will leverage HPC processing and Machine Learning to develop improved Anti-Money Laundering (AML) controls,

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