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Exploring the potential of Optimal Transport for Monte Carlo methods in Medical physics – ExOTics
This project focuses on the integration of the optimal transport (OT) method into Monte Carlo (MC) simulations in medical physics, with a particular emphasis on dosimetry, which calculates the dose distribution in the patient. MC simulations are commonly used in this field, but they are notoriously
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
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
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
Generalizing Wasserstein Barycenters to discretize gradient flows – BARYFLOW
Wasserstein barycenters are a powerful tool for analyzing complex data represented by probability measures. They enable the interpolation of different types of objects, such as images, texts, or distributions of physical quantities, while taking into account their global geometric structure. However
Multi-omic and multi-modal MRI signatures to unravel the role of glymphatic pathways in cerebral small vessel disease – Multi-SVD-glyph
Cerebral small vessel disease (cSVD) is a heterogeneous group of pathologies affecting small blood vessels of the brain, and a leading cause of stroke and dementia. Numerous genetic risk loci have been identified for several magnetic resonance imaging (MRI) markers of cSVD, especially white matter h
CO2 guided cardiopulmonary resuscitation – CPR-CO2
Cardiac arrest is estimated to be the third leading cause of death in the United States with a survival rate around 10%. Cardiopulmonary resuscitation (CPR) refers to the management of cardiac arrest patients. Aside the absolute priority to consider defibrillation to restore spontaneous circulation,
DYNAMIC Activation of Magnesium-Based ComposiTes for Hydrogen Storage – ADyCT
Hydrogen is a key issue for renewable energies. The solid-state storage of hydrogen in the form of metallic hydrides offers numerous advantages, including safety, in comparison with cryogenic liquid and compressed gas possibilities. Magnesium, an abundant and relatively cheap metal, reacts with hydr
Domain Adaptation on Time Series – DATeS
Machine learning models generally assume that training and test data are identically distributed. However, this assumption often breaks down in real-world applications due to shifting data distributions over time and across contexts. Domain Adaptation **(DA)** tackles this challenge by allowing mode
DYe-Sensitized p-type Photocathodes with Optimized transport and panchromatic absorption properties for solar Water-splitting – DYSPOW
Among the emerging technologies allowing the production of hydrogen directly from solar light, dye-sensitized photoelectrochemical cells appeared to be a very promising technology. However, in spite of some encouraging results reported over the past years, there is still a strong need of fundamental
