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GUaranteed Efficiency for PAReto optimal solutions Determination in multiobjective combinatorial optimization problems – GUEPARD
The growing complexity of real world applications in various domains (e.g. optimization of communication networks, transportation and location problems, therapy planning, elaboration of public policies, web search) has led researchers in Operations Research (OR) and Decision Aiding to formulate prob
Gas Diffusion Photoelectrodes with Backside Solar Light Illumination for Small Molecules Capture and Catalytic Reduction – GASPER
The aim of the GASPER project is to develop and fully characterize a new concept of gas diffusion photoelectrodes with backside illumination for CO2 conversion under solar light. To this end, we will take advantage of a very recent discovery by one of our partners that has made backside illumination
Gas-liquid plasma micro-reactors for future chemistry – PLAS4CHEM
The long term objective of the project is to develop a new tool able to perform chemical reactions of industrial interest without catalysts and without solvents, using reactive species (radicals, excited neutrals, metastables, photons…) generated in gas phase by plasma discharges at room temperature
Ge-based Single Photon Avalanche Diodes: from comprehensive characterization to advanced simulation – GeSPAD
The GeSPAD project is devoted to achieve a major breakthrough in the development of the next-generation of Single Photon Avalanche Diodes (SPAD), a high-sensitivity optoelectronic detector with many applications in X-ray tomography, biochemical sensors, DNA/protein microarray scanning, engine/turbin
Gene therapies approaches for Charcot-Marie-Tooth diseases: targeting the right cell type and compartment – GENERATE
Charcot-Marie-Tooth disease (CMT) is a hereditary disorder that affects the nerves outside the brain and spinal cord. It affects about 300,000 people in Europe. The disease progresses slowly and causes muscle weakness, especially in the legs, as well as sensory problems, often detected in childhood
Generalised Optimal Transport and Applications – GOTA
This project deals with some generalizations of Optimal Transport problems and their applications. We plan to tackle three main topics: multi-marginal optimal transport (and applications in risk measures and quantum chemistry), multi-population models in urban planning and entropic optimal transpor
Generalized Optimal Transport Models for Image processing – GOTMI
Our society is in constant interaction with image content. Market data indicates that the number of acquisition mobile devices is going to considerably increase and in particular, a spectacular growth in users for the years to come is expected. Due to this trend, new needs and services for companies
Generalizing Wasserstein Barycenters to discretize gradient flows – BARYFLOW
Wasserstein barycenters are a powerful tool for analyzing complex data represented by probability measures. They enable the interpolation of different types of objects, such as images, texts, or distributions of physical quantities, while taking into account their global geometric structure. However
Genetic, metabolic and process optimizations of hydrogen photobioproductino by the green microalga Chlamydomonas reinhardtii – Algo-H2
; ; ; ; The aim of the project is to study the hydrogen bioproduction by using photosynthesis. The model species is the green microalga Chlamydomonas reinhardtii, known for its ability to produce hydrogen thanks to a high activity Fe-Fe hydrogenase. This project has for objective to develop scientif
Geometric Control Methods, Sub-Riemannian Geometry and Applications – GCM
Several fundamental problems stemming from robotics, vision and quantum physics can efficiently be modeled in the framework of Geometric Control. The study and analysis of these problems can then be ranked as research questions of Sub-Riemannian geometry (SRG for short). The purpose of this project
