Our Work
You will find below a selection of our ongoing research themes reflecting the wide variety of topics we regularly tackle.
N.B.: Some initiatives might not be listed here because of confidentiality issues or lack of space, so please do not hesitate to contact us for any inquiries.
01
Modelling Methodologies
New modelling paradigms as well as the establishment of rigorous modelling practices are key to the design of reliable simulation models. We have been working on such methodological advancements with colleagues for over a decade under various initiatives.
02
Applied Simulations
Mechanistic simulations are our methodological cornerstone. We have been applying modelling to many different types of systems over the years and this remains a red thread for our group. We are always eager to hear what your modelling needs might be!
03
Sustainable Energy
The clash between Energy and Biodiversity actions has now finally been widely acknowledged. At NEXUS::CSR, we research the impact of wind energy development on flying animals, with particular focus on long-distance migrants. Ultimately, the project aims to better understand the problem and assess the fitness of a technological solution to mitigate it while increasing energy production.
04
Biology and Conservation
We have developed a strong expertise on endangered and rare species research. Our achievements span from purely ecological field research, to biologging and tracking technologies development, to social surveys, to global policy making support. Bats (>1400 species) are our main target organism in this line of research.
05
Gut Microbiome & Health
In a joint project with the Luxembourg Center for Systems Biomedicine (LCSB), we are investigating through bioinformatics and simulation modelling the path from eubiosis to dysbiosis in gut microbial communities to explain and cure related pathologies.
06
Analog Computing
Thinking totally out-of-the-box, we research novel forms of unconventional computing not relying on digital binary information. Through leading-edge research axes, such as mechanical or biological computing, we design self-powered systems or ultra-low-power devices capable of distributed problem solving or in-situ edge intelligence for fault detection.
