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Stochastic Orders and Constrained Transport – SOCOT
Our goal is to improve understanding and extend the range of applications of stochastic orders ubiquitous objects in probability, statistics and mathematics of decision-making in connection with the weak optimal transport theory, that is an important setting of the generalized transport theory and c
Plastronic Heat Pipe for the Direct Cooling of Power Electronic Components – CAPREP
The electrification of means of transport requires the development of converters from battery DC voltage to AC voltage for vehicule motorisations. An increase in the performance of these power converters requires power electronic components with very good performance as Gallium Arsenide (GaN) transi
Comprehensive studies for the qualification of an industrial process for PuCl3 synthesis – NIOUSALT
In molten salt nuclear reactors, fissile material is dissolved as a halide—typically chloride or fluoride—in a molten salt mixture that serves as both solvent and heat transfer fluid, while also acting as a containment barrier. Fluorides have been extensively studied so far but chlorides are now fav
3D Fe/Cu-PEROVskites for electrochemically assisted TREATment of wastewaters – PEROV-TREAT
PEROV-TREAT aims at integrating perovskite-based porous materials in an electrochemical process for wastewater treatment in order to improve the treatment of persistent micropollutants and the management of antibiotic resistance, with the objective of reusing treated wastewaters. The application wil
Fair Multimodal Learning – FAMOUS
The aim of this project is to explore the first avenues of research into the contribution of multimodality in datasets to meet the requirements of fair learning. Fairness refers here to the biases (in the data and/or induced), while being interested in the interpretability of the models to help thei
Easy to fabricate, both sides poly-Si passivating contact bottom cell for Perovskite/Silicon tandem devices – EPoBoC
To reach conversion efficiencies beyond silicon solar cells physical limit of 29.4%, innovation is needed while reducing environmental impact of industrial processes. Multi-junction solar cells that encompass silicon and perovskite subcells offer a very promising option to continue the needed effici
Towards a smart blood culture bottle: Machine learning assisted electrochemical profiling to provide early in-situ identification of bloodstream infection pathogens – E-MOC
Despite all improvements in the diagnosis of infectious diseases in the last 20 years, the socioeconomic burden of bloodstream infections (BSI) is still high for every country all around the world. Approximately 20% of global mortality worldwide (11 million deaths per year) is related to sepsis. Thu
Foam-bonding process for granular wastes – BONDINGFOAM
One of the key stages in materials recycling is their crushing into granular material to be re-used by incorporation into the production lines of new objects. In a certain number of cases however, simple shaping using a binder, and a possible post-treatment of the peripheral surfaces, would make it
Mechanisms and contribution of Musashi-mediated control of cell wall polysaccharide synthesis in plants – MusaWall
As the main constituent of the terrestrial plant biomass, lignocellulose represents a huge reservoir of fixed carbon and a renewable raw material that is essential for human usages. Lignocellulose biomass enclosed within secondary cell wall (SCW) is mainly composed of cellulose, hemicellulose and li
Personalized Optimization with Human Feedback – Human-O
In this project, I propose to explore and design new algorithms at the intersection of optimiza- tion, dynamical systems, and learning of the user’s costs and constraints, allowing end users to have a choice between possible decisions, and learn from it. [S1] Learning to optimize for dynamical syst
