Étude de scalabilité de l’Optimisation Bayésienne pour systèmes de neurostimulations embarqués

L’un des défis les plus actuels des agents d’apprentissages autonomes (ou I.A.) appliqués aux outils médicaux est la capacité de les appliquer pour des systèmes embarqués sur appareils de petite taille, portables ou même directement embarqués dans le corps humain. En interface neuronales, le développement de compagnies comme Neuralink consiste principalement dans la miniaturisation de […]

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Stable frequency comb generation using integrated micro-ring resonators (MRRs) for entanglement distribution networks

The quantum internet is predicted to have a substantial impact on our modern society, enabling the transfer of information through networks (so-called quantum networks) with unprecedented security compared to our current, classical protocols. Although small-scale, proof-of-principle quantum network experiments using photons (quanta of light) have already shown great promise, the scaling of these experiments into […]

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Biomatest pets

The gut microbiome plays a highly important role in metabolic health of animals, as has been demonstrated by several studies in the last decade. It encodes a series of enzymes and produces compounds which are not available in human cells, that play a role in functions as important as the breaking down of complex food […]

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High-Performance Ethylene Production via Electrochemical CO2 Reduction Using Cu Diatomic Catalysts

As atmospheric CO2 levels rapidly increase due to industrialization, electrocatalytic reduction technology using renewable energy to convert CO2 (CO2RR) into valuable multi-carbon products such as ethylene, ethanol, and propanol is in the spotlight. Copper is the only metal that can form these C2+ products due to its unique properties. Despite many studies, morphological and chemical […]

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Computational methods for analyzing cell shape heterogeneity with application to Atomic Force Microscopy.

Cells cultured on planar surfaces adopt a variety of morphological shapes. Despite their seeming randomness, such morphology is determined by a biophysical process that represents the sum of multiple cellular processes. Cell morphology is dynamic, and cells change their shape with time and across different time scales, e.g. with local modification of the environment, or […]

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Le culte des champions des jeux panhelléniques

L’objectif principal de ce projet de recherche consiste à mener une étude approfondie sur les hommages dédiés aux champions des jeux panhelléniques. Cette recherche sera spécifiquement axée sur l’identification de preuves archéologiques, telles que statues, inscriptions et céramiques, visant à documenter l’existence d’un culte associé à la gloire athlétique dans l’Antiquité.

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Development of Deep Learning Techniques for Predicting Dynamic Responses of Local Elements in Complex Structural Systems

In our proposed project, we aim to predict the behavior of large structures like buildings and bridges and key devices upon the large structures in response to natural hazard such as earthquakes. By combining cutting-edge deep learning techniques with the multi-fidelity concept, we’re developing a deep learning model that can predict the response time histories […]

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Learning based MPC for tissue manipulation

Robot-assisted surgery (RAS) has revolutionized surgical procedures, offering advantages over traditional methods. Currently, surgeons control robots for tasks like suturing and organ resection, leading to physical strain while the robot helps at the lower level by scalling down the movement and reducing hand tremor. These tasks are intricate and demand high dexterity and skill, leading […]

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Experimental investigation of the icing of a drone rotor in wind tunnel

A collaboration between experts in the domain of drone icing. A drone rotor will be installed in an icing wind tunnel to simulate flying under different atmospheric icing conditions. The resulting ice accumulation on the rotating blades will be studied as well as its effect on the drone performances and ability to fly. Scans of […]

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Adjusting Cognitive Loads of Operators from Visual Inputs

Simulation-based training is an critical supplement to current clinical training. However, implementing simulation technology into a curriculum to maximize training outcomes still presents a significant challenge. It is important to consider multiple factors and their impact on trainee cognitive load. In the past, we have adjusted the target stability to manage the cognitive load of […]

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