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Domain Adaptation for Neural Data Integration – DANDI
Developing machine learning methods suitable for data-limited systems is a core concern of artificial intelligence (AI) for health which typically suffers from sparse data. One promising approach is to leverage related data-rich systems through transfer learning; for example, by pre-training models
Analytics for Learning with Machines – ALMA
ALMA (Analytics for Learning with Machines) will create a foundation for understanding, supporting, and evaluating collaboration quality between learners and Large Language Models (LLMs) in higher education. As generative Artificial Intelligence permeates learning practices, future professionals nee
Automatic Sail: AI-Driven Optimization for Sustainable Maritime Navigation and Wind-Assisted Propulsion – AutoSail
Shipping accounts for 2.9% of global CO2 emissions, with a potential increase of 44% by 2050. To address this issue, wind-assisted propulsion solutions like Norsepower's rotor sails and Michelin's inflatable sails are being explored. However, there is limited research on real-time adaptive control s
Integrating Perspectives: Standpoint Logic for Knowledge Representation – SPaRK
Artificial intelligence initiatives like the semantic web enable the linking of machine-readable data from various sources and the exploitation of knowledge representation (KR) artefacts, such as ontologies and knowledge graphs, to support advanced automated reasoning tasks. Coupled with the vast am
Resilient multimodal transport management with shared autonomous electric vehicles under disruptions – RAISE
Natural disasters, technological failures, and human-caused accidents frequently disrupt public transport lines and infrastructure. This may result in shutdowns of public transport services and shift of travel demand to road networks. Without effective emergency response strategies, urban traffic sy
Optimal MR Protocol for the monitoring of SVD patients at Low mAgnetic field – OPLA
Low-magnetic-field MRI imagers are attracting increasing interest due to reduced purchase and maintenance costs, a minimized carbon footprint, and reduced space requirements. However, two issues limit their expansion: low signal-to-noise ratio (SNR) and unconventional contrasts. Thus, these systems
Small-scale modelling of water quality evolution to anticipate potential impacts on biocide treatment discharges in the context of climate change – Biocide-WATCH
The Biocide-WATCH project addresses the impact of global warming (GW) on water quality, focusing on how these modifications will affect the formation of disinfection by-products (DBPs). The climatic changes, combined with human activities, intensify eutrophication, degrade water quality, and enhance
Intelligent cell agents: decoding multicellular morphogenesis through inverse physical modeling & AI – CellAgents
This project aims to uncover how animal cells self-organize into complex structures through innovative inverse modeling and AI-based approaches. Focusing on early embryos and 3D engineered tissues, our research integrates physical modeling, machine learning, and computer vision to reverse-engineer d
Control Allocation with Passivity for DC Microgrids – CASIMIR
The CASIMIR project is aimed at addressing critical challenges in the energy transition, particularly in the context of distributed energy production and storage using direct current (DC) microgrids. With renewable energy sources like solar and wind becoming more prevalent, traditional alternating c
Increasing Sustainability through Tolerance Allocation and Quality Control Strategies in high Precision Manufacturing - Application on Hydrogen Valves – H2-TACTICS
EU-Sustainable Products Regulation based on new Eco-design Directive aims to substantially enhance circularity, energy efficiency, and overall environmental sustainability of products sold within the EU. Integrating environmental considerations into every phase of the product lifecycle plays a cruci
