The description of solid state systems form an intractable many-body problem as every particle is pushed and pulled due to Coulomb’s law by the other particles. It is almost impossible to directly describe every particle in a macroscopic system (with 10^24 particles). A clever solution involves simplifying the many-body problem into a problem of hypothetical […]

For decades, dentistry relied on manual processes to create restorations and appliances—methods that are prone to human error, inconsistency, and lengthy production times. 3D printing of dental resins is a transformative technology that is changing how restorations and prostheses are made. 3D printing can integrate with intraoral scanners and CAD/CAM systems to create end-to-end digital […]

This project address the so-called Quantum Marginal Problem from a mathematical, physics and computational perspective. It develops the mathematical theory of optimal transport adapt to quantum states in order to make fundamental advances in physical aspects and computational algorithms solving the quantum marginal problem.

Ce projet de recherche explore l’influence des relations d’attachement sur le développement émotionnel et comportemental des enfants présentant des vulnérabilités développementales. En identifiant les profils d’attachement de ces enfants et en les comparant à ceux d’enfants au développement typique, nous chercherons à comprendre comment ces dynamiques affectent leur adaptation psychosociale. Nous examinerons également l’impact des […]

This project focuses on advancing computational methods for predicting ionization potentials (IPs) and electron affinities (EAs) of organic molecules, with a specific application to organic solar cells (OSCs). By leveraging Koopmans’ theorem within the orbital-optimized pair-coupled cluster doubles (oo-pCCD) framework, the project aims to efficiently compute these key electronic properties without costly gradient calculations. A […]

The main focus of this project is to explore the use of drama and theatre techniques in organizational and management contexts to support transformational learning and enhance professional practice. Through case studies from different cultural backgrounds, the research will examine how applied theatre, as an embodied exploration, facilitates the transformation of organizational knowledge from tacit […]

This project aims to understand how two major Chinese technology companies, Haier and Xiaomi, use digital tools such as the Internet of Things (IoT) and artificial intelligence (AI) to expand their smart home products in Europe. The intern will study how these technologies improve daily life by making homes more efficient, comfortable, and secure, and […]

This project aims to enhance the surface durability of aluminum components used in industries such as aerospace, defense, automotive, and renewable energy, while maintaining aluminum’s lightweight and corrosion-resistant qualities. The research will employ a cost-effective coating method, low-pressure cold spray, to apply aluminum–alumina composite coatings, followed by friction stir processing to further improve their quality. […]

Women have a two-fold risk of developing Alzheimer’s Disease (AD) compared to men, though the cause of this risk remains largely unclear. Several studies have proposed female-specific risk factors (such as menopause) and modifiable risk factors (such as circadian disturbance), that could contribute to the exacerbation of AD pathology and symptoms through inflammatory mechanisms in […]

This project aims to improve the delivery of omega-3 oils—nutrients that readily degrade during digestion, by developing soft liquid–liquid capsules that protect these oils as they pass through the gastrointestinal tract. Initial formulation and testing will be conducted at the University of Waterloo, where capsules will be created to achieve high stability and controlled release. […]

The Nechako River in Prince George, British Columbia, suffers from eroding riverbanks and contaminated sediments left behind by past industrial activities. This project will investigate whether treatment wetlands, which are engineered ecosystems that use plants and natural processes to clean water and stabilize soil, could help address both problems at once. The student will use […]

Deep learning systems can predict properties of chemical substances but do so in a purely mathematical way. As a consequence, the user does not get any feedback on what are the essential properties a chemical must have to exhibit a certain property. This hampers getting any insight in to the relationship between molecular structure and […]