Search for a funded project
On the Cognitive principles underlying operational biases in the temporal domain – CoPrOBTeD
The project will (1) probe the functional locus of the effect by isolating the perceptual from the motor component of the information processing. It will test (2) the predictions that can be made according to the sensory integration hypothesis to test whether the observed effects reflect stimulus energy accumulation rather than a cognitive bias and will probe (3) whether the TME emerges from general principles governing time perception.
Operads, Calculus and Homotopy theory methods in Topology – OCHoTop
This proposal addresses problems of topology, in the field of fundamental mathematics. The general purpose of our project is to develop applications of operads (an algebraic device) for the definition of invariants associated to links, manifolds and stratified spaces (classical objects of topology).
Opinion dynamics in social networks in presence of multiple decision-makers – NICETWEET
In the NICETWEET project, we develop a new methodology to address an important and generic problem that appears in economics,telecommunications, energy markets, and politics. Several decision-makers (DMs) are in competition for propagating ideas or selling goods, services, etc. to a large number of agents who are connected through a physical or digital social network (SN). The agents are thus under the influence of their neighbors in the SN graph, but also under the influence of the DMs.
Optical coherence tomography for REtinal Organoid imaging – OREO
Retinitis pigmentosa (RP) is a group of inherited neurodegenerative diseases that result in selective cell death of photoreceptors. <br />Human induced pluripotent stem (iPS) cell technology generates retinal organoids for disease modeling purposes, and cell-based rescue or replacement strategies. <br />High resolution imaging tools are essential to perform to monitor bioproduction of these cell cultures and to validate disease models and therapeutic solutions.
Optical sensors for air quality monitoring (gaz NO2, O3) – CAPTAIN
Air pollution is the leading environmental cause of mortality. This worrying situation is not improving at the moment, since the emission levels of the main pollutants (nitrogen oxides NOx, ozone O3, volatile organic compounds VOCs and small particles SP) remain stable in the majority of major European cities. Beyond the environmental consequences reducing and monitoring air pollution is a real public health issue. Considering this serious conclusion it appears imperative to ensure a continuous measurement of the presence of these pollutants in ambient air in order to be able to implement means of remediation and methods of treatment, destruction or trapping of the effluent gases.
Optimiser l'entraînement mental pour atteindre l'or olympique, approche psycho-physiologique innovantes de la performance en escrime
avec les objectifs fixés dans le rapport de l’année 2021, la deuxième année du projet TrainYourBrain a été
Optimising the use of discretionary salt – SalEtMieux
Reducing sodium intake has been identified as an efficient lever to prevent noncommunicable diseases. Key sources of sodium include manufactured food products but also discretionary salt, namely salt added by consumers during the preparation and cooking of meals and at the table when seasoning. However, discretionary salt has been largely neglected so far, in spite of the fact that it deserves to be considered to pursue the sodium intake reduction.
Optimization framework for desirable and sustainable complex systems – OSCAR
Optimization Method for affordable and sustainable systems
Optimization of Urban Synchromodal Systems – OPUSS
Last mile delivery concerns the last stage of a transport system, from wholesale transport to the delivery to final customers. Because of its synchromodal aspect (several modes of transport subject to synchronization constraints), it is the nightmare of logisticians, especially in urban areas. This project aims at designing advanced optimization algorithms to plan transports in such synchromodal networks.
Optimization-based forward musculoskeletal simulation of pathological gait – OMEGA
In this project, we propose to investigate the conception and the use of forward simulators to predict pathological gaits. Challenges lie in the conception of a simulator capable to accurately replicate a given gait, capable to predict the evolution of the gait according to the change in the subject condition, and to analyze and validate gaits obtained from the simulator.
