Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Potable Water Reuse from Treated Wastewater: A Strategic Literature-Based Assessment for the City of Mirabel

The City of Mirabel is studying new ways to provide safe drinking water for its growing population. This project will look at examples from around the world where treated wastewater is made clean enough to drink. The goal is to determine the best options for Mirabel’s needs so the City can plan future water supplies that protect both people and the environment.

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Faculty Supervisor:

Hubert Cabana

Student:

Partner:

Ville de Mirabel

Discipline:

Engineering

Sector:

Public administration

University:

Université de Sherbrooke

Program:

Business Strategy Internship

Observing Interactions Between Pacific Harbour Seals (Phoca vitulina richardii) and Recreational Fish Cleaning Practices throughout Greater Victoria

This project is designed to provide a baseline dataset for fish processing stations on Southern Vancouver Island. From this dataset, researchers aim to identify broad-scale trends in nearshore marine systems and identify future research needs. Main objectives of the project include monitoring both seal behaviour and fish waste subsidies near these recreational fish processing stations in order to assess the nearshore ecological impacts of fish carcasses and waste products. To achieve these objectives, fish carcass consumption by seals, daily seal activities, fish processing methods, vessel traffic, and raw estimates of carcass matter entering the water are documented in this project. Expected outcomes of the project include an improved understanding of seal feeding preferences, developing a baseline for subsidy patterns in recreational fisheries, enhancing knowledge about human-mammal interactions, and producing recommendations for ongoing research needs in these understudied and highly developed nearshore marine systems.

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Faculty Supervisor:

Francis Juanes

Student:

Partner:

Wildlife Conservation Society Canada

Discipline:

Life Sciences

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Reward Circuit Neuromodulation for Motor Recovery After Spinal Cord Injury

Spinal cord injuries often cause lifelong motor deficits, with limited recovery from current therapies. This project explores a new approach: using deep brain stimulation of the brain’s reward circuits to encourage and reinforce natural movements during rehabilitation. In the rat model of spinal cord injury, we aim to boost both immediate motor performance and long-term recovery. The research will lay the groundwork for future therapies that could significantly improve mobility and quality of life for people living with paralysis.

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Faculty Supervisor:

Marco Bonizzato

Student:

Partner:

Université de Strasbourg

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

GenAI-Counselor: An AI-Powered Genetic Counseling Assistant for Genetic Report Interpretation and Patient Guidance

GenAI-Counselor is an AI-powered genetic counseling assistant developed by Ebovir Biotechnologie Inc. to bridge the gap between complex genetic test results and patient understanding. By combining domain-specific knowledge bases (e.g., ACMG, ClinVar, GeneReviews), report parsing, personalized patient modeling, retrieval-augmented generation (RAG), and large language models (LLMs), the system delivers clear, clinically grounded explanations of genetic findings. This innovation empowers patients to make informed health decisions, supports clinicians with scalable interpretation tools, and enhances accessibility to genetic counseling—especially in underserved areas. The project also contributes to Canada’s digital health leadership while training interdisciplinary talent in AI, bioinformatics, and health-tech innovation.

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Faculty Supervisor:

Yuhong Yan

Student:

Partner:

ebovir biotechnologie inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Business Strategy Internship

Automatisation intelligente de la production de croquis de localisation pour les infrastructures gazières à partir de données historiques et d’annotations assistées par l’IA

Énergir est une entreprise québécoise spécialisée dans la distribution d’énergie, principalement du gaz naturel. Elle développe également des solutions en énergies renouvelables comme le biométhane, l’électricité et le solaire. Engagée vers la carboneutralité, elle accompagne ses clients dans la transition énergétique.
Énergir reçoit environ 50 000 demandes de localisation par année via le système Info Excavation. Pour chaque demande, l’organisation doit fournir un croquis indiquant la distance (« côte ») entre les actifs gaziers souterrains et des repères visibles (points durs : bornes fontaines, regards d’égout, entrées d’immeubles, trottoirs, etc.). Or, ce flux repose encore largement sur des « croquis PDF non numérisés » ainsi que sur une table d’annotations (‘SIGnet’) stockée dans ArcGIS Enterprise 10.9.1, où les éléments de dessins sont encodés en JSON. La génération manuelle des côtes mobilise plusieurs personnes et comporte un risque élevé d’erreurs susceptibles de compromettre la sécurité publique. La masse de données historiques est cependant un terreau idéal pour une approche automatisées par intelligence artificielle (IA) et de vision par ordinateur visant l’automatisation du processus. Le projet répond donc à un double enjeu : (1) réduire le temps et le coût de traitement des demandes, et (2) renforcer la fiabilité des plans délivrés aux entrepreneurs, afin d’atténuer les risques de bris d’actifs et d’accidents. La résolution du problème requiert des compétences avancées en géomatique, en traitement d’images de type « croquis », en apprentissage profond pour la détection d’objets, ainsi qu’en conception de flux SIG interopérables.

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Faculty Supervisor:

Mickaël Germain

Student:

Partner:

Énergir

Discipline:

Computer science

Sector:

Mining; Transportation and warehousing; Utilities; Wholesale trade

University:

Université de Sherbrooke

Program:

Accelerate

Interface Optimisée BERTA pour la Simulation des Réseaux Électriques

Les systèmes de simulation en temps réel sont essentiels pour valider la stabilité des réseaux de production et transport d’électricité et la contribution de l’équipement de production électrique à la stablité de tension, de puissance et de fréquence (alternateurs, régulateurs de vitesse, régulateurs de tension et stabilisateurs de puissance). Or, l’interface actuelle utilisée par l’entreprise BERTA & Langevin pour opérer les simulations en temps réel est obsolète, peu fiable et inadaptée à ces besoins spécifiques. Le projet de recherche vise à concevoir une nouvelle interface mieux adaptée aux besoins.

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Faculty Supervisor:

Alexandre Robichaud

Student:

Partner:

BERTA & Langevin Ltée

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Chicoutimi

Program:

Accelerate

ERP System Rollout and Optimization at Mekapisk Enviroblu

This project will support the final implementation phase of an ERP (Enterprise Resource Planning) system at Mekapisk EnviroBlu Inc, a growing Indigenous-owned company based in Newfoundland and Labrador. Building on earlier research and development efforts, this phase will focus on optimizing system workflows and enabling future integrations such as EDI (Electronic Data Interchange), which will help automate transactions with major clients and partners. The project will improve internal coordination between sales, inventory, procurement, and finance, ensuring more accurate data and smoother business operations. The expected benefit is improved scalability, better resource management, and stronger digital infrastructure to support the company’s expansion and long-term competitiveness.

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Faculty Supervisor:

Craig Thomson

Student:

Partner:

Mekapisk EnviroBlu

Discipline:

Business

Sector:

Manufacturing

University:

College of the North Atlantic

Program:

Business Strategy Internship

High-precision geochronology of Precambrian ash layers in the Nama Group, Namibia

The late Ediacaran marks a critical interval in Earth’s history, as it witnessed significant global transformations in the climate system and variations in ocean chemistry. These profound changes affected the evolution and distribution of early animal life. The crisis of Ediacaran fauna likely favored the appearance of the first shelly fossils, considered the prelude to one of the most spectacular diversifications of animals, the Cambrian explosion. Due to the absence of precise temporal constraints, the link between the biosphere and climate changes during the late Ediacaran remains debated.
This project aims to fill this gap by providing new high-precision temporal constraints for the deposition of the sediments of the Nama Group in southern Namibia, one of the few localities worldwide preserving evidence of late Ediacaran biota. To achieve this goal, volcanic ash layers found within the sedimentary strata of the Nama Basin and sampled in the past two years will be dated using high-precision zircon U-Pb geochronology.
Participating institutions will benefit from the proposed project. The data we expect to produce are potentially of great interest and will be included scientific papers and presented at several scientific conferences in 2026, bringing international visibility to UQAM/Geotop and the University of Geneva.

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Faculty Supervisor:

Joshua Davies

Student:

Partner:

University of Geneva

Discipline:

Earth science

Sector:

Education

University:

Université du Québec à Montréal

Program:

Globalink Research Award

Electrophysiological Effects of Physiological Antibodies and Autoantibodies on Neuronal Function

This project is a continuation of my doctoral research, which investigates how IgG antibodies interact with neurons in various neuropathological conditions. So far, we’ve observed that IgGs can be internalized by neurons in models of spinal cord injury, stroke, and neuropsychiatric lupus (NPSLE). The next critical step is to understand the physiological consequences of this internalization. This project will explore how IgGs—both normal and autoimmune—affect neuronal activity using electrophysiological techniques. This includes measuring changes in spontaneous activity (such as resting potential and firing rate) and evoked responses (like input/output curves and synaptic currents) in primary cultures of cortical, dorsal root ganglion (DRG), and trigeminal ganglion (TG) neurons. These experiments will help determine whether IgGs disrupt neuronal signaling and could reveal shared mechanisms across CNS disorders. As disruptions to the brain’s immune barriers are increasingly implicated in conditions ranging from traumatic injury to mood disorders, understanding how antibodies interact with the CNS is essential. By uncovering these mechanisms, the project may help identify new therapeutic targets and contribute to better treatment strategies.

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Faculty Supervisor:

Éric Boilard

Student:

Partner:

Université Côte d'Azur

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université Laval

Program:

Globalink Research Award

Automatisation de la réception et du traitement de la facturation

Le projet d’automatisation de la réception et du traitement de la facturation s’inscrit dans une démarche de modernisation des services publics grâce au numérique et à l’intelligence artificielle (IA). Il s’agit d’extraire automatiquement des informations clés (numéro de facture, fournisseur, montant) à partir de factures numériques ou manuscrites, puis de les intégrer dans le logiciel de gestion financière de la ville. La diversité des formats de factures complique cette extraction.
À l’heure actuelle, des outils performants de la suite Microsoft Azure et les services comme chatGPT ou Gemini sont disponibles, et pourraient être intégrés avec les systèmes de la ville pour résoudre le problème.
Le projet explore donc l’option d’une IA locale, plus simple et moins couteuse, quitte à sacrifier un peu de performance. La solution envisagée repose sur deux étapes : extraction du texte via OCR, puis identification des données pertinentes par règles ou des méthodes d’apprentissage automatique.
Le choix final devra équilibrer performance, coûts, respect de la vie privée et impact écologique. Or, il est encore rare que ces critères soient pris en compte de façon globale dans les projets d’IA publics, ce qui rend cette démarche particulièrement pertinente.

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Faculty Supervisor:

Alan Davoust

Student:

Partner:

Ville de Gatineau

Discipline:

Computer science

Sector:

Public administration; Utilities

University:

Université du Québec en Outaouais

Program:

Accelerate

Validation de capteurs non invasifs pour la surveillance de la température corporelle en milieu de travail chaud

Ce projet de recherche vise à améliorer la prévention des problèmes de santé liés au travail en milieu chaud. Les travailleurs et travailleuses de secteurs comme la construction, l’agriculture, la foresterie ou les services d’urgence sont particulièrement exposés aux vagues de chaleur, qui seront de plus en plus fréquentes avec les changements climatiques. Pour protéger ces personnes, il est essentiel de surveiller leur température corporelle afin de détecter rapidement une astreinte thermique excessive. Or, les méthodes traditionnelles sont coûteuses, invasives ou peu adaptées au terrain. De nouveaux capteurs portatifs, simples et non invasifs, offrent une solution prometteuse, mais leur validité doit encore être confirmée. Ce projet testera la validité de deux de ces capteurs, en reproduisant en laboratoire un quart de travail estival typique. Il inclura des femmes, encore peu étudiées dans ce domaine, ainsi que l’effet de la caféine, largement consommée sur les chantiers et susceptible d’influencer les résultats. Les retombées attendues sont concrètes : fournir aux employeurs et aux hygiénistes en santé et sécurité au travail des outils fiables et accessibles pour mieux protéger les travailleurs. À terme, cela contribuera à améliorer la sécurité et adapter les milieux de travail aux défis posés par la chaleur.

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Faculty Supervisor:

Thomas Deshayes

Student:

Partner:

Le Mans Université

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université de Sherbrooke

Program:

Globalink Research Award

Guidance Opportunities in Discrete Diffusion

(1) the main activities of the partner
ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition
enabled the development of AI-driven products that improve the platform’s capabilities. ServiceNow Research has made significant contributions to the field of foundation models, notably in Natural Language Processing (NLP), and has a strong presence in developing generative models for different data domains.
(2) the challenges the partner aims to solve through this project
System prompts can specify the desired behavior of agentic systems in plain English: “Be polite.”, “Be concise.”, “Ground all statements in facts that can be directly quoted from the provided context.”. Does it work? Well, it depends… Current solutions cannot even provide probability estimates for these
requirements to be satisfied, nor a clear understanding of how each such clause affects the outcome. Special instances of this general challenge come up in multimodal and code contexts: this project has a particular interest in those latter aspects.
(3) the anticipated social or economic benefits of the project for the partner organization(s)
Better counterfactual understanding and/or access to calibrated probabilities could greatly improve our service offering, enabling calculated risks, highlighting caveats when necessary, ultimately building trust with the customers and users. Such interpretability features would also improve our capacity to comply with legislation on protected status and otherwise decrease our litigation risks.

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Faculty Supervisor:

Tal Arbel

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

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.