Projets novateurs réalisés

La laïcité de l’État comme lien civil : conditions et limites

Mon projet de recherche vise, d’une part, à définir la place du religieux dans la genèse du lien social (philosophie fondamentale), d’autre part, à fournir un ensemble de recommandations pratiques dont l’objet essentiel est la laïcité de l’État (philosophie pratique). Ce séjour de recherche au Brésil aura pour but, sous la supervision de M. Bignotto, spécialiste reconnu de l’histoire des idées politiques, la rédaction du premier chapitre de ma thèse dans lequel j’analyserai différentes conceptions philosophiques des rapports entre religion et société, analyse dont l’enjeu pratique est de dégager un modèle cohérent de laïcité de l’État adapté aux enjeux multiculturels du Canada contemporain. Un effort important de traduction des concepts philosophiques en recommandations politiques sera fait à l’issue de cette recherche fondamentale en histoire des idées.

Purification of Single Wall Carbon Nanotubes produced by thermal plasma

Raymor Industries, a Canadian high-tech company, is at the forefront of producing advanced materials that are vital for the next-generation technologies of the Clean Tech sector. The main materials they produce are single-walled carbon nanotubes (SWCNTs) and graphene, which can be used in sustainable electronics, energy storage, and medicine. However, to fully realize their potential, they need to be purified and separated from impurities. Raymor’s subsidiary, NanoIntegris Technologies, is a world-leading supplier of high purity, semiconducting, and metallic SWCNTs, but they need to optimize their purification process to maintain their competitive edge. Through this collaborative project with Prof. Richard Martel’s laboratory, an internationally recognized leader in the field of carbon nanotube electronics, the optimal purification protocol that enables the production of high-quality CNTs and graphene via the thermal plasma process will be established. The completion of this project will provide the best possible materials that can help transform the Clean Tech sector and create a more sustainable future.

Development of computational methods for heart surgery planning.

3D modeling is crucial for effective left ventricular assist device (LVAD) implantation by providing surgeons with precise, personalized visualizations of the patient’s heart anatomy. The proposed technology will allows for detailed preoperative planning, optimizing the placement of the LVAD within the left ventricle. The accuracy and individualized approach afforded by 3D modeling will contribute to improved surgical outcomes.

Impact de la sécheresse sur le niveau piézométrique des eaux souterraines de l’hydrosystème du Drâa (Maroc) et l’étude de la concentration en éléments en relation avec la présence des mines abandonnées

Au Maroc, la disponibilité en eau douce constitue un défi majeur, tel le cas dans la région de l’Oued Draa (sud du Maroc), une région dépendante des eaux souterraines pour l’irrigation, l’eau potable et d’autres usages. La sécheresse météorologique, la surexploitation et la pollution menacent cette ressource essentielle. Pour évaluer la résilience et la vulnérabilité de l’hydrosystème du Draa, une méthodologie est proposée. Des mesures régulières du niveau piézométrique, l’utilisation d’indices de télédétection, et une modélisation hydrogéologique via l’intelligence artificielle seront employées. Des échantillons d’eau et de sédiments seront analysés, incluant la détection de métaux lourds, sulfates, nitrates, chlorures, isotopes, et bactéries indicatrices. Une base de données SIG sera établie pour diagnostiquer les aléas hydrologiques et climatiques, en produisant des cartes de risques confrontées à la réalité terrain. L’objectif final est pouvoir faire une gestion intégrée des ressources hydriques Ce projet s’inscrit dans une démarche collaborative qui a été récemment concrétisée par la soumission d’un projet conjoint au Ministère des Relations internationales et Francophonie. En effet, des liens entre nos équipes ont été initiés il y a environ 6 ans dans le cadre de cours de terrain dans le sud du Maroc, offerts aux étudiants du Québec- Maroc.

Additive manufacturing of rare earth hard magnetic materials

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and national levels and establish a robust domestic supply chain, particularly for rare earth magnets. The project stakeholders are GreenAge Materials (GreenAge), the National Research Council of Canada (NRC), and the Multi-Scale Additive Manufacturing Lab (MSAM) at the University of Waterloo.

Trust Establishment Mechanism to Isolate the Malicious Nodes in Flying Internet of Drones: From ML-Based Spectrum Fingerprinting Techniques to Honeypot Learning Attack Patterns Predicting

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with great convenience also comes great concerns about the security and privacy of our digital assets. Unfortunately, the security implications of this complexity and connectivity have mostly been overlooked, even though ignoring security could have disastrous consequences.
The attacks on embedded systems are evolving and becoming more complex and destructive. In this project, we develop a security incident response system for embedded systems designed to recover from attacks without significant interruption, dynamically selecting response actions while being lightweight in computational power, memory, and energy overhead. Furthermore, this project’s overcoming will help Thales identify the problem and associated cyber threat risks and pave the way for more efficient hardware/software solutions.

Détection et caractérisation de la désagrégation du béton par Géoradar

La désagrégation du béton est une des principales causes de dégradation des dalles des tabliers de ponts et des dalles des toits des chambres souterraines. Cette dégradation est invisible car ces dalles sont recouvertes soit d’un béton bitumineux, soit d’un remblai. Le présent projet de recherche a pour objectif d’étendre les applications de la technique du Géoradar à la détection de cette désagrégation. Il fera appel à des travaux expérimentaux en laboratoire et sur site, ainsi qu’à de la simulation numérique. Ce projet permettra à AusculTech d’offrir des services mieux adaptés aux besoins des ingénieurs. Il lui permettra aussi de se positionner en tant que leader au Canada dans le domaine de l’auscultation des dalles en béton armé par Géoradar.

Development of Fitness/Training Plans with AI/Machine Learning

Strontium loaded 3D printed scaffolds for improved bone regeneration

Strong evidence exists indicating the therapeutic potential of strontium in bone health and regeneration, and
perhaps treating metastatic bone disease. Since current standard treatments of large bone defects can still result
in poor outcomes (whether using autografts, allografts, ceramic or acrylic cements). New technologies and
advances in 3D printing with ceramics and other blended bioactive elements like strontium, may provide a new
pathway to improved treatments. There are several stable isotopes of strontium, and here we will test the impact
of scaffolds loaded with strontium on osteoblast and HUVEC adhesion, growth, viability and matrix deposition/tube
formation. Furthermore, we will apply scaffolds to a bone like microenvironment model representing a human 3D
bone-like tissue

PyLLMD – A Conversational Assistant for The World of Work Built on Interactively Programming Language Models

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Machine learning X-ray emission spectra of metal impurities in aluminum alloys

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a suitable method to characterize the properties of such dilute metallic impurities. The proposed research project will develop a novel method to investigate the properties of metal impurities in aluminum alloys, exploiting the extreme sensitivity of X-ray Spectroscopy on physical properties of dilute impurities. The development of rapid assessment method could make a significant impact on improving aluminum processing in the automobile industry in general.

Innovative Solutions for Pressure Injury Prevention through Introducing a Non- Wearable Smart System

About 8.8% of people in Canada are 65 years or older, and this number is expected to rise by 6.2% by 2036. As people get older, they become more likely to develop pressure injuries (PI) due to changes in nutrition, mobility, and skin health. In healthcare settings, patients at risk of PIs need to change positions every two hours. In Canada, around 26% of patients in all healthcare settings suffer from PIs. In Ontario alone, hospital-acquired PIs cost about $90,000 each year. While there are some products and articles about using telehealth for sleep monitoring, they can be pricey and hard to make. So, our main goal is to create a new smart technology that doesn’t need to be worn, which can detect body positions in bed and suggest when to change positions. Our system will use a special sheet on the bed mattress and a laptop to process the data and give recommendations. We want our technology to be easy to use, accurate, and affordable compared to what’s already out there.