Innovative Projects Realized

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

31132 Completed Projects

2940
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5159
BC
837
MB
685
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882
SK
9291
ON
9695
QC
97
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601
NB
1161
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Projects by Category

Group theory of interferometric amplitudes in the limit of very many particles

Partial distinguishability is now recognized as important in quantum technologies because it directly controls the structure of multi-particle quantum interference, which underpins the advantage of many photonic platforms for computing, sensing, and communication. In realistic devices, photons (or other identical particles) are never perfectly identical: residual differences in time of arrival, spectrum, polarization, or spatial mode introduce partial distinguishability, turning ideal coherent interference into a mixture of interfering and non-interfering processes. This affects gate fidelities in linear-optical quantum computing, limits precision in interferometric metrology, and determines whether tasks such as boson sampling remain classically intractable. Crucially, recent work has shown that partial distinguishability is not merely a source of experimental “noise” but a quantifiable resource parameter that can be modelled, measured, and sometimes mitigated or even exploited. This project is about understanding and controlling partial distinguishability so it can be used for applications such as benchmarking quantum advantage, designing scalable photon sources and interferometers, and defining realistic performance thresholds for near-term quantum technologies.

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Faculty Supervisor:

Hubert de Guise

Student:

Partner:

Universidad de los Andes

Discipline:

Physics

Sector:

Quantum Science

University:

Lakehead University

Program:

Globalink Research Award

Prédiction spatiale de l’indice de biodiversité potentielle en forêt boréale mixte par télédétection

Les vieilles forêts jouent un rôle central dans le maintien de la biodiversité et des fonctions écologiques forestières, mais leur prise en compte dans l’aménagement forestier demeure limitée par des outils de diagnostic reposant principalement sur des seuils d’âge et des proportions de forêts résiduelles. Cette approche ne permet pas d’évaluer adéquatement la qualité écologique des peuplements, qui continuent d’évoluer bien au-delà des seuils actuellement utilisés. À ces limites s’ajoutent des contraintes opérationnelles majeures, l’étendue des territoires forestiers québécois rendant difficile la réalisation d’inventaires écologiques détaillés à grande échelle. Dans ce contexte, l’Indice de Biodiversité Potentielle (IBP), développé en Europe, constitue une approche prometteuse pour une évaluation rapide et standardisée de la biodiversité forestière à partir d’attributs structuraux, compositionnels et environnementaux. Toutefois, cet indicateur doit être adapté aux forêts boréales mixtes et appuyé par des outils de prédiction spatiale. Ce projet vise à adapter l’IBP au contexte boréal québécois et à développer des modèles prédictifs fondés sur des données LiDAR aéroportées afin d’estimer la biodiversité potentielle à grande échelle. En combinant inventaires terrain et télédétection, il ambitionne de fournir de nouveaux outils opérationnels pour améliorer l’évaluation et la conservation des vieilles forêts dans une perspective d’aménagement forestier durable.

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Faculty Supervisor:

Maxence Martin

Student:

Partner:

Université Grenoble Alpes

Discipline:

Life Sciences

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Hardware/Software Co-Design and FPGA Prototyping of NIST Post-Quantum Cryptography (PQC) Algorithms

This project explores how post-quantum cryptography (PQC) algorithms can be efficiently implemented on hardware platforms to prepare for future quantum-safe security needs. As new NIST-standardized PQC algorithms replace older encryption methods that are vulnerable to quantum attacks, designers face challenges due to higher computation and memory demands. The project will study a representative PQC algorithm and build an FPGA prototype that combines software and hardware acceleration for its most performance-critical components. By comparing software-only implementations with hardware designs created using both high-level synthesis and traditional hardware design methods, the project will identify practical trade-offs in speed, resource usage, and design effort. Participating institutions benefit from reusable FPGA prototypes, clear experimental data, and concrete design guidance that can support future research, education, and real-world deployment of quantum-resistant security in embedded and edge computing systems.

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Faculty Supervisor:

Felipe Gohring de Magalhaes

Student:

Partner:

Institut-Mines-Télécom Atlantique

Discipline:

Computer science

Sector:

Cyber Security; Quantum Science

University:

Polytechnique Montréal

Program:

Globalink Research Award

Modeling of Electrochemical Hydrogen Compression

This project aims to improve the performance of electrochemical hydrogen compressors (EHCs), which are used to recover and compress hydrogen for clean energy systems such as fuel cells. During operation, some hydrogen is lost, increasing cost and reducing efficiency. The performance of EHCs depends strongly on how hydrogen and water move through the polymer membrane at very small scales. This project addresses this limitation by developing detailed computer models that represent the membrane’s internal pore structure and simulate hydrogen and water transport under realistic conditions. Using computational techniques, the project will study how different properties affect hydrogen transport and efficiency losses. The simulation results will be compared with experimental data from the host institution to ensure accuracy and practical relevance. The findings will help identify better membrane designs and operating strategies.
The project will benefit both institutions by combining complementary expertise. The home institution at York will gain new modeling tools and computational data for ongoing research in fuel cells and energy systems, while the host institution at DHBW Mannheim will benefit from advanced modeling to better interpret experimental results. The collaboration will strengthen research ties, support joint publications, and help train highly qualified researchers in hydrogen technologies.

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Faculty Supervisor:

Cuiying Jian

Student:

Partner:

DHBW Mannheim

Discipline:

Engineering

Sector:

Energy and Utilities

University:

York University

Program:

Globalink Research Award

L2M-The development of eco-friendly and renewable bioplastic materials from agricultural and food waste streams

This project will help BioPolatis turn their 100% compostable bioplastics into a market-ready product. The intern will research potential customers, test business ideas, and develop a clear commercialization strategy. By the end of the project, BioPolatis will have actionable steps to grow their business, scale production, and enable companies to adopt sustainable packaging solutions. This supports Innovation Factory’s mission by accelerating innovation, fostering entrepreneurship, and helping bring environmentally friendly technologies to market.

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Faculty Supervisor:

Costas Tzoganakis

Student:

Partner:

Innovation Factory

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Business Strategy Internship

LoRaSat: Implementation and Evaluation of a Satellite-based LoRaWAN Network

This project will study how well LoRaWAN can work for direct communication with Low Earth Orbit (LEO) satellites to connect IoT sensors in remote “no-coverage” areas. The intern will use a simulation tool to model thousands of devices sending data to a satellite during a single pass and will measure how often messages succeed or collide. The project will also test simple improvements to reduce collisions and increase reliability, such as using time slots (Slotted ALOHA) or listening before sending (CSMA). The expected benefits are clearer limits on how many devices a satellite LoRaWAN link can support, practical guidelines to improve reliability, and stronger solutions for low-cost connectivity in remote regions for applications like environmental monitoring, infrastructure sensing, and early warning systems.

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Faculty Supervisor:

Lokman Sboui;Kim Khoa Nguyen

Student:

Partner:

École nationale d'ingénieurs de Sfax

Discipline:

Engineering

Sector:

Information and Communications Technology (ICT); Aerospace

University:

École de technologie supérieure

Program:

Globalink Research Award

Deep Learning Approach to Automatic Detection of Tool Wear in Machining Using Coolants

The project advances the development of an AI-based system for automatic cutting tool condition characterization using machine learning and machine vision. It addresses the limitations of indirect tool wear monitoring by enabling direct, image-based wear analysis both on- and off-machine, with a focus on reducing downtime and improving tool utilization. A key challenge is adapting the system to industrial environments with cooling lubricants, which requires changing camera hardware and compensating for reduced image quality through advanced image enhancement techniques. Building on a previous model that for wear segmentation and classification under dry machining conditions, the project evaluates model weighting strategies and extends the approach to lubricated processes. The dataset and predictive maintenance models are expanded and re-evaluated to improve tool life prediction beyond simple linear regression. Overall, the project aims to deliver robust data pipelines, model architectures, and preprocessing methods that support accurate wear progression analysis and practical Industry 4.0 deployment

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Faculty Supervisor:

Dan Wu

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Computer science

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Comprendre l’impact d’une sécheresse printanière sur la croissance des arbres

Les forêts jouent un rôle essentiel dans le fonctionnement des écosystèmes et dans la régulation du climat, notamment par le stockage du carbone et la gestion du cycle de l’eau. Toutefois, les changements climatiques entraînent une augmentation de la fréquence et de l’intensité des sécheresses, ce qui peut fortement affecter la croissance et la santé des arbres. Ce projet vise à mieux comprendre comment une sécheresse printanière influence la reprise de la croissance des arbres. Il s’appuie sur une expérience menée en forêt, où certaines parcelles sont soumises à une exclusion partielle de la pluie afin de simuler des conditions de sécheresse, tandis que d’autres servent de référence. La croissance des arbres sera suivie de façon hebdomadaire grâce à des observations de terrain et à des prélèvements de microcarottes de bois, permettant de décrire finement la dynamique de formation du bois au cours de la saison.
En combinant observations de terrain et analyses en laboratoire, ce projet permettra d’identifier les périodes clés où les arbres sont les plus sensibles au manque d’eau. Les résultats contribueront à améliorer notre compréhension de la résilience des forêts face aux changements climatiques et à soutenir une gestion forestière mieux adaptée aux conditions futures.

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Faculty Supervisor:

Valentina Buttò

Student:

Partner:

Université de Montpellier

Discipline:

Earth science

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

L2M: Closed-loop vancomycin monitoring and delivery

This project aims to advance the commercialization strategy of a closed-loop microneedle-based biosensing platform for real-time therapeutic drug monitoring. The technology integrates hydrogel microneedles with electrochemical aptamer-based sensors to continuously measure drug concentrations in interstitial fluid and enable adaptive dosing. Initially developed for vancomycin monitoring, the platform addresses critical limitations of conventional therapeutic drug monitoring, including delayed laboratory results, invasive blood sampling, and population-based dosing models that do not reflect patient-specific pharmacokinetics.

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Faculty Supervisor:

Mahla Poudineh

Student:

Partner:

Innovation Factory

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Business Strategy Internship

Shahrastani and the Ismaili Dawah: Investigating Shahrastani’s Influence By and On the Missionaries (dais) and Thoughts of the Fatimid and Nizari Periods

This research project investigates the esoteric thoughts of the 12th-century Muslim thinker, Muhammad ibn Abd al-Karim Shahrastani, focusing on how his works shaped the theological identity of the Ismaili Shii tradition. By analyzing Shahrastani’s unique use of symbolic narratives to represent spiritual authority, the study seeks to fill a significant gap in our understanding of how medieval Islamic philosophy was transmitted and preserved. A research residency at the Institute of Ismaili Studies (IIS) in London is essential to this work, as it provides direct access to the world’s primary repository of Ismaili manuscripts and allows for high-level consultation with the leading global experts on Shahrastani’s corpus, Dr. Toby Mayer and Dr. Daryoush Mohammad Poor. This project will strengthen the historic academic ties between McGill University and the IIS as well, fostering an intellectual exchange that enhances McGill’s profile in specialized Shii studies while contributing original textual analysis to the IIS’s ongoing mission to publish and interpret Ismaili intellectual heritage.

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Faculty Supervisor:

Prashant Keshavmurthy

Student:

Partner:

Institute of Ismaili Studies

Discipline:

Sociology

Sector:

Other

University:

McGill University

Program:

Globalink Research Award

An iSCAT-Based Platform for Digital Determination of Affinity Constants (DiDAC)

Modern biological research relies heavily on antibodies to detect and measure proteins, from genetics research to diagnostics and drug development. Measuring binding kinetics for antibodies is important for inferring specificity, affinity, and its mechanism of action. Existing kinetics assays are powerful, but they often require large sample volumes and provide only averaged signals, making it difficult to precisely measure how strongly and how fast molecules bind.
This project aims to develop a new “digital” assay for measuring binding kinetics at the single-molecule level. Using an optical technique called interferometric scattering microscopy (iSCAT), individual binding and unbinding events will be directly observed on functionalized glass surfaces. Rather than inferring binding strength from bulk signals, this approach counts single binding events, enabling highly sensitive measurement of affinity constants with reduced reagent consumption.
The project will first establish the feasibility of digitally tracking single binding events using well-characterized molecular pairs, then benchmark the resulting measurements against surface plasmon resonance. Finally, the method will be extended to antibody “sandwich” assays, allowing direct visualization and troubleshooting of these binding interactions that are important for assay development.
By combining single-molecule sensitivity with surface-based measurements, this work aims to create a fast, low-cost, and highly informative tool for antibody characterization.

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Faculty Supervisor:

David Juncker

Student:

Partner:

Max-Planck-Institut für die Physik des Lichts

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Infrastructures d’eau au Québec : valeurs écononomiques de la comptabilisation de l’eau résidentielle et de politiques de rattrapage

Les infrastructures d’eau au Québec sont sous-financées, tandis que la consommation par habitant y excède nettement les normes canadiennes et transatlantiques. Cette étude évalue la rentabilité du comptage résidentiel au Québec selon différents scénarios: retours d’information seuls, tarification volumétrique, ou combinaison de leviers de réduction de la demande. L’objectif de ce projet est de formuler des recommandations claires, chiffrées et actionnables dans les plus brefs délais pour les décideurs à l’échelle municipale et provinciale.

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Faculty Supervisor:

Justin Leroux

Student:

Partner:

Réseau Environnement

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.