Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

An Automatic Approach to Transfer Function Tuning Using Reinforcement Learning

Optimizing an interaction to achieve the highest possible performance is desirable for many applications. For instance, even minor improvements in the mapping between a computer mouse’s movement and a cursor on a screen can significantly enhance comfort and usability. Similarly, better mapping an operator’s joystick inputs to crane movements could boost productivity. Both examples emphasize the importance of finding an ideal transfer function (i.e., the mapping between human input and system output). However, while we have the affordance of relying on several decades of tuning when using the transfer function of touchpads and mice, we do not have this convenience when it comes to novel interaction techniques. Correspondingly, we need approaches to automatically determine the ideal transfer function to create the most performant interactive systems possible. We propose using reinforcement learning (RL) to identify optimal input-output mappings for novel inputs. Our approach will first explore familiar devices like touchpads and mice before extending to emerging inputs like electromyography. This work will be supported by a collaboration between a French research lab specializing in transfer functions and a Canadian lab focused on machine learning. Together, we aim to advance the automation of transfer function tuning, creating more efficient and accessible systems.

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Faculty Supervisor:

Scott Bateman

Student:

Partner:

Université de Lille

Discipline:

Engineering

Sector:

Artificial Intelligence

University:

University of New Brunswick

Program:

Globalink Research Award

Dépôt de couches minces nanocomposites TiO2/Fe2O3 par procédé hybride PECVD/injection de solution

Les couches minces nanocomposites (i.e. formées de nanoparticules incluses dans une matrice) sont attractives du fait de leurs propriétés multifonctionnelles. Une approche pour obtenir des matériaux Nanocomposites Multifonctionnels Contrôlés consiste à injecter une solution colloïdale (ici oxyde de fer) dans un plasma (précurseur de TiO2) de manière à obtenir, en une seule étape et sans manipulation directe des nanoparticules, une couche mince nanocomposite. L’application visée concerne la photo-oxydation de molécules-tests pour la dépollution de l’air et de l’eau : en effet, le but de ce projet est de préparer des couches minces nanocomposites possédant des nanoparticules d’oxyde permettant un rendement photocatalytique supérieur aux couches minces de TiO2 seul (sans nanoparticules). Les couches minces seront fabriquées par deux processus différents (pression atmosphérique et basse pression) et leurs structures et fonctionnalités seront caractérisées dans les deux laboratoires (nantais et montréalais).

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Faculty Supervisor:

Luc Stafford

Student:

Partner:

Nantes Université

Discipline:

Physics

Sector:

Sustainability & the Environment; Nanotechnology

University:

Université de Montréal

Program:

Globalink Research Award

Caractérisation par imagerie rapide d’un plasma d’onde de surface sous l’influence d’injection pulsée de gaz

Les procédés plasmas assistés par des injections d’aérosols sont commun pour effectuer du dépôt de revêtement fonctionnel, le mode pulsé permettant au plasma de retourner à l’équilibre est par ailleurs préférable au mode continue. Les plasmas d’onde de surface sont reconnus comme étant particulièrement stables et faciles à mettre en place. Cependant, ce mode d’injection semble rompre la stabilité de la décharge. Les injections pulsées d’aérosols dans un plasma d’onde de surface n’étant que très peu documentée, une étude de caractérisation de la décharge dans de telles conditions est alors nécessaire. L’imagerie rapide est un outil de diagnostic permettant d’analyser l’intensité lumineuse du plasma à partir d’image de ce dernier et ainsi de remonter a ses propriétés fondamentales.

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Faculty Supervisor:

Luc Stafford

Student:

Partner:

Université de Toulouse

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Étude de l’effet mémoire d’une décharge à barrière diélectrique dans l’air à la pression atmosphérique

Les décharges à barrière diélectrique diffuses ont un intérêt en industrie pour faire du traitement de surface par exemple. Cependant, ce régime de décharge dépend de nombreux paramètres (gaz, fréquence d’excitation, tension appliquée…) et peut être compliqué à obtenir. Obtenu dans un premier temps dans les gaz noble, ou encore l’azote, il a été montré plus récemment qu’il était possible de l’obtenir dans des gaz moléculaires comme l’air. Quelque soit le gaz utilisé, on distingue l’effet mémoire. En effet, avant d’obtenir la décharge diffuse, on observe un autre régime de décharge appelé le régime filamentaire. Cet effet mémoire est dépendant des électrons germes. Ces électrons sont des électrons présents juste avant la décharge suivante et permettant d’obtenir la décharge diffuse. Dans l’air, les mécanisme permettant d’obtenir ces électrons germes sont mal connus. Ce travail repose donc sur l’étude des mécanismes de surface et/ou de volume permettant l’effet mémoire dans l’air.

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Faculty Supervisor:

Luc Stafford

Student:

Partner:

Université de Toulouse

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Proofs of Quantum Knowledge: Theory and Applications

A quantum proof of knowledge (QPoK) is a protocol in quantum computing that allows one party (the prover) to convince another party (the verifier) that they possess certain knowledge without revealing the knowledge itself. Our research proposal aims to advance the science of QPoKs by developing both theoretical foundations and practical applications. We will explore novel quantum protocols that ensure secure and efficient verification of knowledge without revealing the knowledge itself. This project will bridge the gap between abstract quantum theory and real-world applications, such as secure communication, cryptographic protocols, certified deletion, and blockchain technologies. By leveraging the unique properties of quantum mechanics, our research will contribute to the development of more robust and scalable quantum-proof systems, ultimately enhancing the security and efficiency of digital interactions in various domains.

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Faculty Supervisor:

Anne Broadbent

Student:

Partner:

Centre National de la Recherche Scientifique (CNRS)

Discipline:

Mathematics

Sector:

Quantum Science; Cyber Security

University:

University of Ottawa

Program:

Globalink Research Award

Building AbilityGPT – A GPT model to create novel biological therapeutics

Antibody therapeutics are a fast-growing class of treatments for many significant unmet medical needs. Ability biologics is a Montréal-based startup company that has significant unique proprietary data, sequences and activities for over 40 targets, for training deep-learning models, combined with laboratory facilities to create and test antibodies proposed by computer models. Ability Biologics will use the latest computer science and deep-learning technologies with our large data set to bring proposed therapeutics to reality.
The objective of this project is to explore the use of GPT pretrained-models trained on our unique data set of human antibody sequences. Then characterize the models by comparing to measured data and similar efforts from scientific literature, and eventually by synthesizing and characterizing the antibodies in our laboratories. The ability of the models to generate novel therapeutics with properties such as binding, solubility and developability will be explored as future projects.

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Faculty Supervisor:

Mathieu Blanchette

Student:

Partner:

Ability Biotherapeutics

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Artificial Intelligence

University:

McGill University

Program:

Accelerate

Expérience d’accès aux services et à l’accompagnement juridiques de migrant.e.s sans statut ou à statut précaire au Québec : une recherche-action exploratoire

Alors que la mobilité internationale atteint des niveaux sans précédent, exacerbés par les crises politiques et économiques, le visage de l’immigration se transforme. Au Canada, comme au Québec, on assiste à une augmentation sans précédents des migrant.es temporaires. Or, être migrant sur un statut temporaire peut engendrer différentes formes de précarités. Les services juridiques et communautaires jouent un rôle important dans le soutien aux personnes migrantes en situation précaire, en prodiguant des conseils et une assistance juridique. Or, les obstacles d’accès aux services juridiques et la complexité du système d’immigration renforcent la vulnérabilité de ces personnes. Dans ce cadre, l’objectif général de cette recherche-action exploratoire, en partenariat avec la Clinique Juridique Solution Justes de la Mission Communautaire Montréal, vise à documenter l’accès à la justice, aux services et conseils juridiques pour les migrant.es sans statut ou à statut très précaire au Québec, en explorant leurs besoins à ce titre, l’accès, leurs expériences d’utilisation des services et les retombées (le cas échéant). Et ce, en tenant compte des différentes sphères relatives aux conseils juridiques (immigration, droits de la famille, droits du travail, logement, droit criminel).

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Faculty Supervisor:

Marie-Jeanne Blain

Student:

Partner:

Montreal City Mission

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Montréal

Program:

Accelerate

Developing ethical training for long-term care through narrative

The project will recruit and interview staff at a number of long-term care (LTC) facilities about their experience of making difficult, ethical decisions. Materials from these interviews will be used to write a number of case studies, which participants will then discuss in focus groups. All interviews and focus groups will be recorded and transcribed. These will then be analyzed for content (what are the difficult decisions faced by LTC staff), form (how do they structure ethical issues and ethical decision making), and process (how do they reason ethically). Using the data and analysis from this part of the project we will design training materials aimed at enhancing ethical awareness, sensitivity and reasoning – eg case studies, reflective exercises, educational content – to be used as a stand-alone training module (online or available via DVD) or as part of existing ethics training. Staff will be recruited to use the materials and will be asked to complete the training module over a period of six months. They will participate in focus groups to discuss a number of case studies. These focus groups will be recorded and analyzed as per the groups above.

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Faculty Supervisor:

Clive Baldwin

Student:

Partner:

Shannex;Nashwaak Villa;Loch Lomond Villa

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

St. Thomas University

Program:

Accelerate

Planning paired-watershed scale biomass boiler ash utilization trials to support bioenergy waste diversion, forest regeneration, and aquatic ecosystem health

Wood ash is the residual from biomass boilers at forest products mills and stand alone energy facilities. In Canada, residual ash is often landfilled, which can be costly and pose environmental risks. However, considering that the components of the ash are derived primarily from soils and trees, and there is increasing interest to return wood ash from bioenergy facilities to managed forest soils. Ongoing work has largely shown that this can be beneficial, or at least not detrimental, to forest productivity and soil biodiversity across a range of forest and soil types across Canada. However there are gaps in understanding 1) how widespread ash utilization may affect wetland and aquatic components of forested landscapes, forestry operations research related to ash hauling and spreading, and 3) if biomass boiler ash can be used at high application rates to reclaim logging roads. This internship project will identify paired watersheds for subsequent ash addition (and control) amendments in NW Ontario forests where the Partner is the Sustainable Forest Licensee. Lab experiments where ash is added to water saturated soils and sediments and to road substrates will be conducted. This will ultimately help guide sustainable bioenergy production, waste management, and forest nutrient management.

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Faculty Supervisor:

Nathan Basiliko

Student:

Partner:

Produits forestiers Résolu (QC)

Discipline:

Earth science

Sector:

Agriculture; Manufacturing

University:

Lakehead University

Program:

Accelerate

The potential of LCA models to assess the carbon intensity of fuel fractions produced after coprocessing biogenic feedstocks at Parkland’s refinery

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel fractions. The work will assess how the biogenic feedstock used (e.g., 5-30%) and varying the hydrogen integration pathway might impact the overall and specific CI of the fuels and maximize gained carbon credit. The work will also assess how the overall CI of refinery operations might be reduced as well as reducing the CI of the final fuels.

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Faculty Supervisor:

Jack Saddler

Student:

Partner:

Parkland Burnaby Refinery

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Elevate

Development of a effective energy management system for hybrid renewable energy systems

As global demand for clean energy rises, hybrid renewable energy systems (HRESs) integrating solar, wind, and energy storage offer opportunities to reduce reliance on fossil fuels. However, the operation and management of HRESs remain a significant challenge due to the inherent variability of renewable resources, technological limitations, and the complex interaction among system components. Therefore, this project involves the development of an Energy Management System (EMS) designed to maximise the efficiency and reliability of HRESs. Utilising the Model Predictive Control (MPC) technique, the proposed EMS performs energy allocation based on power-following principles, with the aim of providing technical and financial feasibility metrics for holistic decision-making. The novel contributions of this work are the consideration of asset degradation and inclusion of both heating and electrical components in the system. As EMS research is a critical emerging field, this project fosters an ongoing research collaboration between the University of British Columbia and University of Technology Sydney. This partnership aims to drive positive social, economic, and industrial impact by accelerating the adoption of HRESs.

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Faculty Supervisor:

Christine Chen

Student:

Partner:

University of Technology Sydney

Discipline:

Engineering

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Bruit des gouttes impactant les structures : vers une preuve de concept d’un pluviomètre dynamique

Quand une goutte d’eau tombe sur une structure, elle produit du bruit. On veut se concentrer dans ce stage sur les signaux sonores liées produits lors de l’impact de gouttes sur la structure solide, et l’extraction d’informations pertinentes concernant la force d’impact de la goutte. L’objectif spécifique est de déterminer si, en partant d’une mesure acoustique du rayonnement d’une plaque soumise à des impacts de gouttes, il est possible de remonter à la force d’impact de cette goutte. Remonter à la force d’impact permet de formuler des hypothèses sur sa taille, et pour plusieurs impacts, la quantité de liquide correspondant. Ceci permettrait de réaliser une évaluation du volume d’eau tombé sur une structure au cours du temps, et constituerait une preuve de concept pour un pluviomètre dynamique basé sur l’analyse de signaux acoustiques.

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Faculty Supervisor:

Olivier Robin

Student:

Partner:

Le Mans Université

Discipline:

Engineering

Sector:

Sustainability & the Environment; Technology; Environmental Science and Technology

University:

Université de Sherbrooke

Program:

Globalink Research Award

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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.