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.

MOSAICO

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

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.

CIRCUSTAIN

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

HIVER

Science meets professional practice in agriculture

FORFUS-RT3.1

PhD project on the satellite monitoring of forest water and light-use efficiency during drought, part of the "Forest function under stress" doctoral training unit (FORFUS)

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.

FORFUS-RT3.2

The "Forest function under stress" doctoral training unit (FORFUS) includes a PhD project on soil moisture and vegetation water content estimation using microwave data.

FORFUS-RT4.1

PhD project on the numerical representation of forest resilience and vulnerability to climate change, part of the "Forest function under stress" doctoral training unit (FORFUS)

FORFUS-RT4.3

PhD project on forest-based recreation, part of the "Forest function under stress" doctoral training unit (FORFUS)

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 [...]

FORFUS-RT2.1

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

Discover the main research projects of the Luxembourg Institute of Science and Technology (LIST)!

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