Innovative Projects Realized

L2M – Market Validation and Human Factors Strategy for an Edge AI-Based Care Platform

This project focuses on validating the real-world use and integration of an advanced, AI-enabled platform designed to improve prenatal care through early detection of conditions such as gestational diabetes and preeclampsia. Rather than simply testing technical performance, the project places strong emphasis on human factors engineering and understanding how healthcare professionals interact with new technology in busy clinical settings. By working directly with obstetricians, nurses, and clinic staff, the project will assess usability, workflow compatibility, and overall clinician experience. This user-centered approach will identify potential barriers to adoption, streamline training and implementation strategies, and ensure that the platform supports rather than disrupts existing care routines. Insights gained will help create evidence-based recommendations for effective integration into prenatal care and potentially other healthcare areas in the future. Ultimately, this work aims to empower clinicians with tools that are intuitive, reliable, and seamlessly fit into their daily practices, supporting better patient outcomes and more efficient care delivery.

L2M – Advancing the Commercial Potential of a Novel Simulation Tool for Thoracic Surgery Training

This project will support the commercialization of a new medical training tool designed to help doctors learn how to perform technically complex procedures for cancer staging and diagnosis. The partner organization, University Health Network, has developed a realistic 3D-printed simulation model that enables trainees to safely practice this procedure outside the operating room. Unlike current training tools, this model is affordable, portable, and highly customizable to different learning levels. With the prototype already developed and tested, the next step is to determine how to implement this innovation in hospitals and training programs. Through this internship, the intern will conduct market research, speak with potential users, and develop a strategic roadmap to help launch the product. This work will provide the partner organization with the information it needs to grow the business, scale manufacturing, expand its impact, and make advanced surgical training more accessible worldwide.

L2M Validation / Qc Automne 2025 / Production de composites thermoplastiques avancés par pultrusion

Typiquement, les matériaux utilisés dans les composites ne sont pas recyclables. Lorsqu’une pièce est brisée ou qu’elle atteint sa fin de vie, elle peut être brulée afin de récupérer les fibres de renforts, mais plus souvent les pièces se dirigent directement vers un site d’enfouissement. Nous travaillons depuis environ 10 ans sur une méthode de production et des matériaux alternatifs plus résistants, pouvant être retravaillés et même recyclés. Cette technologie est la pultrusion de composite thermoplastique, elle permet la production de pièces en composite haute qualité de manière automatisée.
Les pièces créées par notre technologie peuvent être reformées en les chauffant, elles peuvent être utilisées comme renfort en surmoulage et peuvent même être soudées ensemble. Cette capacité de notre matière à être retravaillé nous permet aussi de la réparer dans le cas d’un bris mineur ou de la recycler entièrement lorsque la pièce atteint sa fin de vie.
Notre technologie permet de remplacer des procédés existant par une nouvelle alternative évitant les sites d’enfouissement comme solution de fin de vie, mais elle ouvre aussi de nouvelles portes. De tout nouveaux produits peuvent être élaborés avec les options de mise en forme uniques à notre technologie.

L2M – Developing Machine Learning Models to Accelerate our In-Vivo Creatinine and Potassium Biosensor Development

Many people with heart failure are not prescribed the full set of guideline-directed medical therapies (GDMT), which can shorten their lifespan and reduce quality of life. One major reason is the difficulty and inconvenience of regularly checking potassium and creatinine levels, which are needed to safely adjust these medications. To address this, we are developing the first on-demand system to measure potassium and creatinine, making it possible to optimize GDMT in weeks instead of years.

A key challenge we encountered is interference in electrochemical sensors: when other compounds in biological fluids create signals that interfere with accurate detection of the target molecule. Traditionally, solving this requires slow and labor-intensive trial-and-error testing of electrode materials in the lab. This delays development and limits how quickly new sensors can be brought to use.

Our solution is to use existing data and electrochemical knowledge to train machine learning models that can predict potential interferents and recommend better sensor designs before lab testing. This approach transforms biosensor development into a faster, data-driven process and could significantly accelerate the creation of reliable, clinically useful sensors.

Mixed Methods in Indigenous Health Research: Colombia, Canada & the Caribbean

In 2020, there were 19.3 million new cancer cases and 9.9 million related deaths, with 70% occurring in low- and middle-income countries. In Latin America, cancer remains a leading cause of mortality, with cases projected to rise from 4 million in 2020 to 6 million by 2040. Indigenous populations are among the most affected; in 2016, the Colombian Ministry of Health identified cancer as the fourth leading cause of death in Indigenous communities. However, Colombia lacks clinical guidelines tailored to Indigenous perspectives, as well as consistent epidemiological data to inform policy and intervention strategies. Dr. Angela Zambrano’s thesis examines how Indigenous health practices and beliefs interact or conflict with the traditional biomedical care model. Dr. Zambrano will carry out a comparative analysis of Indigenous health research in Indigenous populations in the Caribbean Island of Dominica, northern Quebec, and Colombia and employ epidemiological methods to calculate health disparities. This will inform a reflection and research protocol to support the development of future studies in Indigenous communities, notably in the Caribbean and Latin American regions, to support the development of intercultural cancer prevention, treatment, and care policies.

Artefacts of Disaster Memory: Architecture for Remembering and Forgetting Disasters

This research project investigates how disaster memorial spaces such as museums, monuments, and preserved sites contribute to collective memory and public engagement in different cultural contexts. Focusing on case studies in Japan and drawing comparisons with prior research in Türkiye, the project examines how spatial design, narrative construction, and visitor interaction shape societal understandings of disaster and recovery. Through fieldwork and interviews conducted in Japan, the project will generate original data and comparative insights that enhance academic knowledge on commemorative practices and disaster resilience. The collaboration will strengthen ties between the participating institutions by fostering international research exchange and supporting ongoing interdisciplinary initiatives in urban planning, memory studies, and disaster recovery.

3D-Printed CNT/rGO–PALF Aerogels for Solar Interfacial Evaporation

Access to clean water is a critical global challenge, with billions facing water scarcity or contamination. This project aims to develop a sustainable water purification system that uses solar energy to convert contaminated or salty water into clean water, offering a low-cost, off-grid solution for rural and resource-limited communities. The system will use solar-driven interfacial evaporation (SDIE) with advanced 3D-printed aerogels made from carbon nanotubes (CNT), reduced graphene oxide (rGO), and pineapple leaf fiber (PALF). These materials provide excellent sunlight absorption, strong resistance to fouling and UV damage, and a biodegradable structure.

By combining these materials in a 3D-printed design, the project will improve water evaporation efficiency and long-term stability, making the system more practical for real-world wastewater treatment. Collaboration between Universiti Tun Hussein Onn Malaysia and the University of Waterloo will strengthen research ties, share knowledge, and offer valuable training for students and researchers at both institutions. This joint work will enhance both universities’ expertise in green technology and sustainable water treatment, supporting their missions to deliver innovative solutions for clean water access and address global environmental challenges.

L’utilisation des philosophes anciens dans le Theophrastus Redivivus

Le Theophrastus Redivivus est un texte anonyme rédigé à Paris au 17ème siècle et est le premier texte ouvertement athée de l’ère chrétienne en Occident. Ce texte propose plusieurs idées qui annoncent la Modernité des Lumières, quoiqu’il soit près d’un siècle en avance. Le texte est abondamment bâti sur la littérature ancienne (sont tirés de l’Antiquité des citations, avec et sans référence, des informations, des anecdotes et des faits scientifiques). Notre projet consiste en l’étude de l’utilisation de l’Antiquité, et en particulier des philosophes, pour étudier le lien entre l’Antiquité et la Modernité naissante en France au 17ème.

Detection of of Dipole-Dipole Interactions in Rare-Earth-Ion for Applications in Quantum Computing

Quantum technologies are today at the forefront of scientific research, as they are expected to have a very strong impact in numerous fields. The primary objective in both research groups, the QPSA lab and the NPQO lab is to develop the physical building blocks necessary for quantum communication. Many different quantum systems are currently being investigated to perform computing, but each has its own strengths and drawbacks.Thus, the exploration of new quantum platforms is an ongoing research area. The aim of this project is to investigate the potential of rare-earth ions-doped crystals (REIC), an emerging platform for quantum computing. A promising REIC, praseodymium, was chosen to be investigated for its suitability in creating multi-quibit gates. We aim to detect dipole-dipole interactions between ions in praseodymium-doped nanoparticles coupled to a fiber cavity as a first step towards this goal. QPSA has with a strong expertise in fiber-integrated open-access cavity interfaces and rare-earth doped solids, while NPQO excels at hollow waveguides and phonic crystal-based cavities as well as integration of photonic crystal waveguides with solid-state emitters. The outlined project will allow for the knowledge exchange in experimental techniques and design related to solid-state quantum information platforms and photonic integration.

Superconducting quantum analog simulator for fundamental physics

This project will explore the use of quantum technologies to simulate physical systems relevant to particle physics, with a focus on neutrino behavior. The goal is to build an analog quantum simulator: a special device whose components are designed to naturally follow the dynamics of the system being studied. The platform will be superconducting circuits, which show quantum mechanical behavior when cooled to very low temperatures. The circuits to be developed will use parametric coupling, a method that enables precise and tunable interactions between their elements. The project is a collaboration between the University of Milano-Bicocca and the Wilson group at the University of Waterloo, which has long-standing experience in superconducting quantum technologies. The student will contribute to theoretical modeling, circuit design, and experimental work. This partnership will strengthen knowledge exchange between the two institutions and support the development of custom quantum devices for fundamental research.

L2M – OmniPave

OmniPave is a research-based concept from the University of Alberta that tackles this by fusing satellite radar, AI-analyzed bus-camera footage, targeted drones, and citizen reports into a real-time map that spots micro-cracks within days, before they expand into potholes. This proactive approach can shift cities toward low-cost crack sealing instead of expensive patching. However, major hurdles remain: Can these four data sources be reliably combined and visualized in near-real time? Can we demonstrate real-world cost savings that will convince municipalities and insurers? And can OmniPave link seamlessly with diverse Geographic Information System (GIS) and work-order systems? This internship will tackle these commercialization challenges head-on by: 1. Building and testing a cloud-based data pipeline and dashboard. 2. Running pilots in three snow-belt cities to collect before-and-after cost/saving data. 3. Preparing an integration guide to show municipalities how OmniPave fits into existing workflows. These activities go beyond prototype research, delivering measurable technical, economic, and integration evidence to validate OmniPave’s potential as a scalable, national solution. The project requires skills in satellite image processing, edge-AI deployment, geospatial integration, and cost-benefit analysis, expertise provided by the intern and supervisor.

Modelling the energy transition in oil and gas markets taking into account market power

This project aims to improve how we model and understand the global oil and gas market in the context of climate change. It combines detailed data from over 40,000 oil and gas assets worldwide with recent theoretical advances in understanding how market structures interact with climate policies. A key focus is on the role of market power — how the strategic behavior of major producers can influence the outcomes of climate action. The resulting simulation tool will help analyze how producers respond to environmental regulations and will make it possible to explore the redistributive impacts and potential adverse effects of different climate policy scenarios. This collaboration between McGill University and French research institutions such as the Paris School of Economics will strengthen expertise at both ends and support more effective and equitable climate decision-making, particularly in Canada.