Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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801
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Projects by Category

Design and Development of a Scalable Modular System: Independent Development, User Validation, and Automated Expansion

Dhiyati Inc. is a prominent Canadian education consultancy in Toronto, that connects students with over 300 diploma and certification programs from private career colleges across Ontario. By leveraging its extensive network, Dhiyati plays a vital role in bridging the gap between education and employment, ensuring students acquire the skills necessary for success in the Canadian workforce.
To support their ongoing expansion strategy, Dhiyati is planning to build an automated, independent, scalable, and modular platform focused on iterative content generation. This platform is intended to enhance operational flexibility, streamline workflows, and drive innovation in content creation [1,2].
As part of its strategic move towards an innovative, automated content delivery platform, Dhiyati is collaborating with WIMTACH-CEDA to develop a prototype for automated module generation. This initiative focuses on building scalable, stand-alone modules that support iterative development and continuous improvement through user feedback [3]. By doing so, it lays the foundation for a flexible and future-ready platform that can adapt to evolving educational and workforce needs. The solution is expected to streamline development processes, reduce operational costs [4,5], and significantly improve the platform’s agility in delivering educational content, career counseling, and job matching services—thereby contributing to enhanced workforce readiness across Canada.

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Faculty Supervisor:

Tenzin Jinpa

Student:

Partner:

Dhiyati Inc.

Discipline:

Computer science

Sector:

Education; Retail trade

University:

Centennial College of Applied Arts and Technology

Program:

Accelerate

L2M – Osteoprobe: A handheld medical device probe for the intraoperative assessment of bone cancer to avoid cancer relapse

Our project aims to develop Osteoprobe, a smart medical device that helps doctors identify cancerous bone tissue instantly during surgery. It uses light and electrical signals to tell the difference between healthy and cancerous bone, providing quick and accurate results without the need for extra tests. This will help surgeons make better decisions, remove only what’s necessary, and reduce the chances of cancer coming back. For our partner organization, Osteoprobe offers a new, cost-effective technology that can improve surgical outcomes, make bone cancer treatment more precise, and bring a valuable innovation to the healthcare market.

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Faculty Supervisor:

Ahmed Aoude

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Research Institute of the McGill University Health Centre

Program:

Business Strategy Internship

Education in the field; using behavioral wildlife research to inform the interpretive program of an eco-tourism operation

Knight Inlet Lodge is an eco-tourism resort specializing in grizzly bear viewing, and caters to both national and
international clients. The business requires research to improve their interpretive program by informing guide
naturalists on the function of observed bear behaviour. Research is required to: 1) assess the relatedness and
movements patterns of regularly observed bears, 2) assess the use of bear scent marking trees in the surrounding
estuary, 3) assess how local food availability (salmon) affects the social behaviour of bears. Non-invasively derived
DNA from bear fur will identify individuals and allow for the assessment of relatedness between bears. Capturing
scent marking with remote cameras will allow for the analysis of the behaviour, and assessment of how it is influenced
by food availability. Including this knowledge within the interpretive program will allow Knight Inlet Lodge to offer
clients a noval market niche and high-quality wildlife experience.

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Faculty Supervisor:

Chris Darimont

Student:

Partner:

Knight Inlet Grizzly Tours Ltd

Discipline:

Life Sciences

Sector:

Accommodation and food services; Arts, entertainment and recreation

University:

University of Victoria

Program:

Elevate

Exploration des méthodes d’analyse sans contact pour l’indentification des contaminants hivernaux en contexte aéroportuaire

Dans un contexte hivernale de plus en plus changeant, il devient primordial de se doter de méthodes de détection efficaces. Ce projet vise à développer et valider des méthodes de détection des contaminants dans les produits de dégivrage aéroportuaires afin d’optimiser leur efficacité et réduire leur impact environnemental. En combinant des approches analytiques avancées et des techniques de caractérisation des matériaux, il permettra d’identifier les contaminant et les concentration de produits chimiques. Le travail sera mené en collaboration avec l’Université Gustave Eiffel et les Aéroports de Paris et Montréal. Les résultats contribueront à l’amélioration des standards industriels et aux pratiques opérationnelles en conditions hivernales. Une publication scientifique et des recommandations pour la normalisation seront produites.

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Faculty Supervisor:

Jean-Denis Brassard

Student:

Partner:

EPF

Discipline:

Engineering

Sector:

Education

University:

Université du Québec à Chicoutimi

Program:

Globalink Research Award

Distributed Quantum Compiling

softwareQ develops open-source software tools for quantum computing, focusing on fault-tolerant architectures and distributed quantum systems. The organization collaborates with companies like nuQuantum, a hardware company building quantum interconnects for distributed quantum networks. A key challenge for softwareQ is bridging the gap between theoretical proposals (e.g., semi-hyperbolic Floquet codes) and real-world hardware constraints from platforms like nuQuantum’s atom-based systems. Current models oversimplify hardware limitations, risking inaccurate conclusions about error correcting code viability.
This project addresses this gap by modeling hardware-specific APIs and testing error-correction workflows under realistic constraints. Success will enable softwareQ to (1) provide community-wide software solutions for distributed quantum error correction, (2) validate nuQuantum’s hardware compatibility with cutting-edge codes. Anticipated benefits include accelerated adoption of fault-tolerant quantum computing schemes in the distributed setting and direct support for nuQuantum’s roadmap.

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Faculty Supervisor:

Michele Mosca

Student:

Partner:

Softwareq Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Testing kinetic inductance traveling-wave parametric amplifier (KITWPAs) for quantum sensing applications

Qubic Technologies, specializes in developing advanced quantum microwave transmitters and receivers for remote sensing and telecommunications applications [1]. They leverage superconducting quantum circuits composed of Josephson junctions to enable the generation of entangled microwave signals with correlations beyond classical limits [2]. Their mission is to enable clients to acquire and transmit sensitive data with unprecedented detail, even in challenging environments.
In this research project, we aim to integrate a kinetic inductance traveling-wave parametric amplifier (KITWPAs) [3] into a quantum microwave radar system to enhance sensitivity and resolution. KITWPAs amplifiers, known for their near-quantum-limited noise performance, high saturation power and ultra-low heat dissipation, can significantly improve the detection of weak microwave signals in radar applications. By leveraging quantum materials and ultra-low-noise amplification, this study will explore the feasibility of using quantum amplifiers to detect low-reflectivity targets in simulated radar experiments in the laboratory. If successful, positive outcomes of this project will allow us to push the boundaries of quantum-enhanced sensing and will provide a step-change in sensitivity for very wide range of critical remote sensing systems in several applications including air traffic control, defense and security of compounds and airspaces, and satellite imaging to survey climate change effects.

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Faculty Supervisor:

Mathieu Juan

Student:

Partner:

Qubic Inc.

Discipline:

Physics

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Uska : Construire un Système de Suggestions Pertinentes en IA et Tourisme

Uska : Construire un Système de Suggestions Pertinentes en IA et Tourisme
Principales activités du partenaire :
Uska conçoit des outils numériques automatisant la gestion d’informations pour les entreprises touristiques d’un territoire. Ces outils facilitent la mise à jour des données touristiques sur les principales plateformes
comme Google ou Facebook mais aussi à l’Office de Tourisme ou encore dans des applications de voyage.
Problématique et avantages escomptés du projet :
Les entreprises (restaurants, hôtels, musées…) contribuent à la mise à jour de leurs informations via l’application Uska dédiée, permettant une saisie détaillée de leurs activités. Toutefois, par manque de temps,
certaines caractéristiques essentielles peuvent être oubliées, ce qui peut impacter la prise de décision des voyageurs.
Une solution envisageable est de proposer des suggestions de saisie pertinentes, adaptées aux spécificités territoriales. Par exemple :
• Pour un restaurateur en Gaspésie, suggérer le “cipaille” comme spécialité culinaire.
• Pour un hébergement dans une région propice au cyclotourisme, proposer “abri pour vélo” comme
équipement.
Certaines de ces spécificités pourraient être identifiées par l’analyse des données et validées avec des professionnels locaux.
Ce stage a pour but d’étudier ces tendances et de poser les bases d’un mécanisme de suggestions intelligentes.
Le stage s’inscrit dans un projet porté par le Ministère du Tourisme visant à déployer des applications concrètes de l’IA auprès de la filière touristique. Le mécanisme de suggestion détaillé ci-dessous doit permettre aux entreprises du tourisme d’affiner la description de leur entreprise afin d’augmenter leur attractivité sur Internet.

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Faculty Supervisor:

Christian Gagné;Audrey Durand

Student:

Partner:

Uska

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Automatisation de la Gestion des CV et des Compétences

(1) Les principales activités du partenaire
Équipe Laurence est une firme spécialisée en génie civil composée d’une équipe jeune, dynamique, à l’avant-garde des technologies et appuyée par des gens d’expérience qui ont oeuvré en collaboration avec plus de 50 villes et d’innombrables partenaires privés.
(2) Les défis que le partenaire entend résoudre grâce à ce projet
Le projet comprend deux volets majeurs, soit la gestion des CV externes (candidats potentiels) et internes (le personnel).
Le premier volet du projet consistera à automatiser la gestion des CV externes en mettant en place un système intelligent permettant d’effectuer des recherches de compétences spécifiques, de trier les candidatures en fonction des exigences des postes ouverts et de classer les profils de manière dynamique. L’IA devra être en mesure d’extraire les informations clés des CV reçus et d’enrichir une base de données consultable par le département RH.
Le second volet portera sur la gestion des CV des employés internes afin de faciliter la composition d’équipes qualifiées dans le cadre des appels d’offres publics en ingénierie civile. Ce volet impliquera l’analyse des compétences disponibles en interne, en tenant compte des diplômes, certifications et formations en cours d’emploi. La gestion du dossier de l’employé devra être intégré pour assurer une mise à jour continue des informations et permettre une sélection optimale des ressources pour chaque projet.
(3) Les avantages sociaux ou économiques escomptés du projet pour la ou les organisations partenaires L’analyse de documents textuels ou de capture OCR selon une approche basée sur des modèles génératifs (LLMs) devrait rendre les opérations de l’entreprise plus efficientes et efficaces, tout en diminuant les délais de traitement. Actuellement, le classement des CV est réalisé manuellement par l’adjointe aux ressources humaines qui examine chaque candidature reçue et l’archive dans un dossier MS Outlook partagé.

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Faculty Supervisor:

Christian Gagné;Luc Lamontagne

Student:

Partner:

Équipe Laurence

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Displacement = Dis(Empowerment)?: Trade Liberalization and Mexico’s Indigenous Migrants

Through semi-structured interviews with current Mexican indigenous migrant men and women and extended family members, my dissertation inquiry focuses on how indigenous peoples – men and women – in Mexico have experienced (and continue to experience) the transition from subsistence to commercial agriculture. The core objective of my doctoral research is to bridge the existing gap in development and feminist literatures around understanding the impacts of “development tools”, such as trade liberalization on already marginalized peoples, particularly on multiple fronts (i.e., gender and race). Accounting for this generational difference in this project is intended to provide contrast in terms of experiences before and after the trade liberalization of Mexico’s agricultural industry, and the increased need to participate in migrant labour therein. I anticipate that pre-existing social and economic inequalities tied to gender and racial/ethnic status has intensified during the transition from subsistence to commercial agriculture since trade liberalization. I expect to find that migration has functioned, not only as a source of much-needed income for communities facing increasing poverty in their home communities, but has also resulted in tensions originating from competing social and economic needs within the family and in the community at large.

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Faculty Supervisor:

Elaine Weiner

Student:

Partner:

Colegio de Sonora

Discipline:

Sociology

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Unravelling electron and ion transport in graphene-protected silicon anodes

Lithium-ion batteries with silicon anodes have garnered significant attention due to their exceptional theoretical specific capacity of approximately 3,590 mAh/g at room temperature—nearly ten times that of conventional graphite anodes (~372 mAh/g). However, the practical application of silicon anodes faces challenges such as significant volume expansion during lithiation, solid-electrolyte interphase (SEI) formation, and capacity fading over multiple cycles.
My project focuses on engineering a stable, high-silicon-content anode to enhance the energy density of Li-ion batteries. The work will begin with investigating SEI growth on protected silicon in both liquid and solid-state electrolytes. Additionally, I aim to understand the ion transport mechanisms between solid-state electrolytes and electrodes. This will be followed by designing suitable solid-state electrolytes for all-solid-state Li-ion batteries with high-silicon-content anodes. The insights gained will contribute to the development of improved Li-silicon batteries.

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Faculty Supervisor:

Michael Pope

Student:

Partner:

Universität Duisburg-Essen

Discipline:

Engineering

Sector:

Green/Alternative Energy; Nanotechnology

University:

University of Waterloo

Program:

Globalink Research Award

A hybrid data-driven quantum approach to expedite molecular wavefunction calculations

Recent studies in quantum computing have demonstrated that the localized unitary Jastrow (LUCJ) ansatz, a promising electronic structure method capable of running on near-term quantum hardware, can surpass exact solutions on classical hardware by using quantum-centric supercomputing. However, scalable and efficient methods for initializing the LUCJ ansatz remain underexplored in current research. We propose a hybrid classical-quantum algorithm that incorporates a data-driven coupled-cluster (DDCC) approach to initialize the LUCJ ansatz, with the aim of significantly reducing computational overhead while preserving chemical accuracy. This approach leverages the speed of machine learning to expedite molecular wavefunction calculations for larger molecular systems, making it a viable candidate for near-term quantum advantage in electronic structure problems.

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Faculty Supervisor:

Hans-Arno Jacobsen

Student:

Partner:

University of Exeter

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Developing Magnetic Field Maps to Enable the Effective Use of Quantum Magnetometers as a Supplement to Conventional Sensors

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable quantum sensors are under different conditions such as time of day or weather. The project also includes developing a 3D digital twin system that integrates GPS and magnetic field data for real-time visualization and analysis. A user interface will be designed to support navigation, monitoring, and decision-making in GPS-challenged areas. By combining quantum sensing, sensor fusion, and intuitive digital tools, this project aims to improve the accuracy and resilience of urban localization systems for use in applications like drones, autonomous vehicles, and public safety operations.

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Faculty Supervisor:

Ajmery Sultana

Student:

Partner:

Hanseo University

Discipline:

Computer science

Sector:

Automotive; Quantum Science; Information and Communications Technology

University:

Algoma University

Program:

Globalink Research Award

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