Quantum Magnetic Fingerprinting for GNSS-Denied Navigation in Urban Air Mobility: A Machine Learning Approach from Ground to Altitude

GPS works poorly in dense city environments because tall buildings block satellite signals. This project will test whether a new type of ultra-sensitive sensor—a quantum magnetometer that measures tiny changes in the Earth’s magnetic field—can help drones and future flying taxis (Urban Air Mobility) figure out where they are when GPS fails. The research team […]

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Swift analysis method to support the development of mines of critical minerals

This project focuses on the development of a method for the direct analysis of solid samples by laser ablation, which is greatly advantageous over methods requiring sample dissolution. It involves minimal sample preparation and eliminates acids and other reagents required for dissolution, thereby making it a greener method of analysis. However, because ablated solid materials […]

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Digital health assistants for Wellness and Social Isolation Support in Aging 

As Canada’s population ages, many seniors face long wait times for healthcare and increasing social isolation. This project develops a voice-activated AI companion that acts like a caring friend, checking in daily on seniors living alone. Unlike current smart speakers that only respond when asked, this system proactively starts conversations to monitor mood, provides personalized […]

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Role of Extracellular Vesicles in Linking Metabolic Dysfunction to Cardiovascular Pathology

Many reports have established a correlation between obesity and diabetes plus cardiovascular complications with the amount of a hormone in the body called adiponectin. Interestingly, the amount of adiponectin circulating in the blood decreases in obese and diabetic individuals. The precise reasons why changes in adiponectin cause diabetes and its complications remain to be determined. […]

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Blended Learning Strategy through Moodle to Improve English Vocabulary Acquisition among High School Students

This project explores how blended learning (B-learning) models can enhance bilingual education and vocabulary learning in Colombian public schools through a comparative study with Canada. While Colombia’s National Bilingualism Program promotes English proficiency, traditional grammar-based instruction and limited digital integration still hinder progress. During a 12-week research internship at the University of Saskatchewan, the intern […]

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Data-Efficient Scan-to-BIM: A Weakly Supervised Learning Framework for 3D Point Cloud Analysis in Modular Construction

This research proposal aims to automate the Scan-to-BIM Quality Control (QC) process for Modular Off-site Construction (MOC). MOC requires millimeter-level precision, but the 3D scan data (point clouds) consist of raw coordinates without semantic information like wall or floor. Using AI (3D Semantic Segmentation) to automate classification presents a Catch-22 dilemma: training the AI requires […]

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Diagnostic médical assisté par l’IA via l’intégration de l’imagerie médicale et des modèles linguistiques et visuo-linguistiques

L’intelligence artificielle joue un rôle de plus en plus important dans le domaine de la santé, notamment grâce aux grands modèles de langage capables d’analyser de vastes volumes d’information médicale. Toutefois, ces systèmes demeurent souvent difficiles à interpréter, ce qui limite leur utilisation dans des contextes sensibles. Ce projet vise à développer des outils d’intelligence […]

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ESROP + A research-oriented project to study diffusion-based LLMs

This project studies a promising alternative to current autoregressive (AR) large language models: diffusion-based large language models. It aims to make them generate high-quality text more efficiently while maintaining speed and energy efficiency. The research will focus on understanding how these models work, identifying their root limitations, and developing improved methods that balance text quality, […]

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ESROP Intelligent Robotics Development and Implementation

The ESROP Global project with the Innovative Cognitive Computing (IC2) lab aims to implement and develop prior intelligent robotic systems with a focus on effective interactive systems and artificial intelligence integration for multimodal input data. This will be achieved through a combination of diverging as a team to develop extensions of current systems and data […]

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ESROP – Global + Max Planck Institute, University of Hamburg

Laser-driven plume formation is a process relevant to fluid dynamics, laser surgery, and materials processing. In photomechanical spallation, high-intensity laser pulses rapidly deposit energy into a liquid, triggering shock waves, phase transitions, and bubble formation. Although much is known about these phenomena, significant gaps remain in understanding how Newtonian fluids (e.g., glycerol and water) behave […]

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