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Sustainable Mulches for Aphid-Free Environment – SMAFE
By 2030, the world's population is expected to reach around 9 billion required to devise new advances in areas such as energy, transport and mainly food production. In fact, in line with the ethical demands of our times, the Sustainable Development Goals of the United Nations (UN) as well as the Eur
Advanced design PrActice for New aero engine Developments and bearing Optimization undeR Extreme conditions – PANDORE
To achieve the objectives set by Europe regarding carbon neutrality, all aircraft engine manufacturers have started seeking original engine architectures that allow them to reach these goals. Several directions for development have been considered which all aim at improving performances in terms of
Compression and Alignment for Efficient Machine Learning – CALME
The increasing availability of massive datasets presents a number of challenges for machine learning (ML), with two key issues standing out: the high dimensionality of the data and the difficulty of obtaining high-quality labelled data. This project aims to develop ML methods that require moderat
Probing interstitial fLUid hoMEostasis with an Organ on Chip platform to investigate solute transport in tissues – PLUME_2
Tissue homeostasis depends on the coordinated functions of blood and lymphatic vessels, along with connective tissues, to regulate the absorption and drainage of nutrients, gases, hormones, and cellular waste. While the Starling principle has long served as a model for solute transport, the dynamics
Dynamic Glycosylated Polymers as Potential Antibacterials – GlycoDyn
WHO has established a list of pathogens (ESKAPE) displaying antimicrobial resistance. Among them, Pseudomonas aeruginosa (PA) is a bacterium involved in multiple infections and is lethal for patients with cystic fibrosis. Bacteria bind to host cells through protein-carbohydrate interactions. Lectins
XAI for Black-Box Models Using Logic-Based Formal Methods and Combinatorial Optimization – FORM-XAI
The FORM-XAI project addresses the growing need for interpretability in the field of artificial intelligence (AI), particularly in critical sectors such as healthcare, finance, and transportation. Complex models, such as deep neural networks, while effective, raise concerns about their opacity, ther
Physics-informed reduced-order modeling for digital twins of sustainable combustion systems – PROMCOM
In the current energy transition scenario, energy-intensive industries and long-range transportation sectors remain heavily reliant on the combustion of fossil fuels. Thus, renewable and alternative fuels, such as hydrogen, ammonia, and biofuels, are vital for achieving carbon neutrality in these di
Youth and Logistics Integration in the 15-Minute City – INCLUCity+
The 15-minute city (15mC) promotes walkable, mixed-use neighbourhoods that prioritize accessibility, local services, and human-centric urban design to reduce car-dependency and foster more sustainable, inclusive, active and liveable cities. However, much of the research on 15mC overlooks the unique
Quantum and ensemble control in small times – QUEST
A variety of physically relevant quantum systems, whose evolution is governed by bilinear Schrödinger PDEs, are known to be controllable in large time. Nevertheless, there are examples which are controllable in large time, but not in small times. This obstruction happens e.g. in the presence of sub-
Cobotic AppLication for handover and Load transport – CALL
TThe CALL project aims to realize human-robot interactions in an industrial task. Specifically, it involves generating handovers of an object between a human subject and a robotic system, followed by collaboratively transporting this object. A first step will involve studying the biomechanical behav
