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Flexibility of Nested Models for the Energy Efficiency of Large-Scale Membrane Bioreactors – FlexMIEE
The FlexMIEE project addresses critical challenges in the optimization of large-scale Membrane Bioreactors (MBRs), with a strong focus on reducing energy consumption while adhering to the environmental constraints imposed on modern wastewater treatment plants (WWTPs). A key challenge in MBR modeling
Mobility Assistance for Visually impaired People through Collaborative Acoustic Positioning – MAPV
The Mobility Assistance for Visually Impaired People through Collaborative Acoustic Positioning (MAPV) project aims to improve the mobility and independence of visually impaired people (VIP) by providing an accurate, infrastructure-free, and privacy-focused positioning framework. Over 2.2 billion pe
Introduce Standards and Methods for Replication of Social Interaction Quality Research in Affective Computing – INSPIRE-bis
The emulation of human-like social interaction is a significant focus of recent developments in Affective Computing. Crucial to this aspect is the employment of Socially Interactive Agents (SIAs) designed to assist us in our daily lives. Users' acceptance of SIAs is enhanced when the technology is d
Probabilistic and infinite dimensional control via optimization and kernels – PIVOINE
This project aims to control systems with high model complexity, emerging from physics (PDEs) or from uncertainty quantification (stochastic processes), or both. Motivation: A common denominator to the environmental crisis and the aritificial intelligence (AI) revolution lies in the need for safel
PICNICS: PoInt Cloud compressioN for human perceptIon and maChine viSion – PICNICS
The main objective of the PICNICS project is to build an efficient end-to-end compression scheme dedicated to static and dynamic 3D point clouds, for both machine and human vision tasks. It will rely on the most recent artificial intelligence techniques to propose powerful solutions to the challenge
Large Language Model Agent for Mobility Reasoning and Synthesis – MobAgent
The proliferation of time-stamped and geo-tagged human mobility data from sources has immense potential for applications in transportation planning, travel behavior analysis, disease monitoring, and intelligent urban management. However, releasing large-scale mobility datasets for public use is hind
Design and development of an Artificial Intelligence-based decision support system for predicting air quality and determining the health risks of particulate matter – IARISQ
Air pollution and atmospheric particles are major public health issues. The health impact of these particles is well-established, but uncertainties remain regarding the role of their physicochemical characteristics. In this context, the IARISQ project aims to study, design, and develop a decision su
Life Trajectories: Semantic Enrichment and Statistical Exploration – TRAVERSEES
Biographical surveys, which are based on the collection by questionnaire of the events that mark the life course of individuals, have gradually established themselves in the social sciences and humanities as a methodological approach for explaining behaviour within populations on the basis of the in
Fair access for all to a low-carbon electricity Grid unlocked by Artificial Intelligence – FairGrid-AI
Clean, small-scale distributed energy resources (DER) (e.g., solar panels, energy storage, electric vehicles, etc.), that use or produce low-carbon emissions electricity, are expected to play a paramount role in helping society on the path towards carbon neutrality. Recent research shows inequitable
QUANTum mechAnicS for prediction and arTificial Intelligence for early thermal runaway deteCtion and mitigation – QUANTASTiC
Thermal runaway remains a significant safety risk in the chemical industry, accounting for nearly 25% of accidents. The QUANTASTIC project aims to develop multifactorial kinetic models essential for identifying risks and optimizing chemical processes. It also seeks to innovate early detection by com
