Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Expanded Assessment of Climate Change-induced Geohazards for Ice-clad Canadian Volcanoes and Mountains

In Canada’s mountains, climate change is leading to the retreat of glaciers, permafrost thawing and accelerated snowmelt. These factors contribute to a significant increase in slope stability hazards and the risk of landslides, placing numerous communities and critical infrastructure at risk. Volcanoes are particularly vulnerable as they are commonly hydrothermally altered and weakened, thereby compounding the effects of climate change and further increasing the associated risk of collapse. Municipal, regional, provincial and federal agencies recognize the critical importance of effectively monitoring unstable slopes on ice-clad volcanoes and mountains in order to more effectively mitigate and respond to these potentially catastrophic hazards. By coupling satellite-based Earth Observation data with ground-based geological and geotechnical information, this project will continue to help TRE Altamira develop a framework for a semi-automatic satellite monitoring service to monitor ice-clad volcanoes and mountains within the Garibaldi Volcanic Belt and ore broadly throughout the Pacific Northwest.

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Faculty Supervisor:

Glyn Williams-Jones;Douglas Stead;Brent Ward

Student:

Partner:

TRE Altamira Inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Powering Transactive Energy Markets using Smart Contracts in an Integrated IoT-Blockchain Platform

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through electrical vehicle batteries), and consume energy. We will investigate various energy-related use cases and assess their relevance for Hydro-Quebec, as well as determine the added value of using a blockchain solution. We will then build a prototype, using open source blockchain software, to realize a studied use case using smart contracts. We will integrate our blockchain platform with the transactive energy platform developed by UQTR. Finally, we will evaluate our integrated IoT-Blockchain platform, in order to assess the challenge gaps surrounding the current systems, and further identify further research opportunities to improve the applicability and reliability of blockchain technology.

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Faculty Supervisor:

Kaiwen Zhang

Student:

Partner:

Hydro-Quebec (Shawinigan, QC);Hydro-Quebec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Multi-sensor object detection and localization for inspection robots

Hydro-Québec faces numerous challenges to inspect and maintain its infrastructures. Robotics used for infrastructure inspection can lead valuable gains in efficiency. However, large-scale adoption of inspection robots requires higher autonomy levels, like the capacity to autonomously inspect specific assets. AI-based object detection and localization is a key capability to complete autonomous inspections with robots. This project is about leveraging inspection capabilities of inspection robots with deep learning techniques.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Hydro-Quebec (Varennes, QC)

Discipline:

Computer science

Sector:

Utilities

University:

Université de Montréal

Program:

Accelerate

Heterogeneous Knowledge Graph Representation and Learning for Career Path Recommendation

This project is about better understanding talents and managers to help them reach their professional goals. For professionals, it might be about growing their career, getting their dream job, or finding the most efficient way of getting it. For managers, it might be about discovering interesting talents to join their team, or finding the most efficient talent set to carry out their project. To do so, we build a large knowledge graph based on several ontologies describing skills, roles knowledge and abilities. We then use deep learning approaches to identify entities of interest in CVs, infer users’ skills and recommend career moves. As such, our work contributes to the company’s vision of fostering professional growth by assisting organizations of all sizes through their process of digital transformatio

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Faculty Supervisor:

Amal Zouaq

Student:

Partner:

Conova AI

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Characterizing anti-inflammatory properties of medicinal mushrooms

Medicinal mushrooms possess compounds with beneficial properties, including anti-microbial, anti-tumoral, and anti-inflammatory, which support their role and application in current healthcare practices. In this proposal, we will measure the impact and role of extracts from medicinal mushrooms provided by Wake Network Inc. to identify how immune cells and an animal model change their response to a biological challenge in the presence of the extracted compounds. We aim to identify opportunities to use medicinal mushrooms to positively regulate the host inflammatory response to an adverse environment, supporting the application of the mushrooms produced by Wake Network Inc. as natural therapeutic options. The information gained from this study will permit the tailoring of medical treatments with mushroom extracts, depending on the status of the host, and inform the mechanistic changes within the host upon treatment.

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Faculty Supervisor:

Jennifer Geddes-McAlister;Bryan Crawford

Student:

Partner:

Wake Network Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph; University of New Brunswick

Program:

Accelerate

Mass spectrometry for multiplexed highthroughput analysis of large molecules

Whether it is for research, development or diagnostics, life sciences typically require the quantitation and characterization of samples with assays that classically measure molecules one at a time. Considering that the development and execution of such assays are time consuming and requires considerable investment, the uses of multiplexed analysis would be highly advantageous. Mass spectrometry is a technology that allows multiplexing, but requires highly specialized knowledge in order to achieve the desired results. It is not new that large molecules, mostly proteins, are being analyzed by mass spectrometry. However it remains limited to literate users due to the complexity of the task. Using state-of-the-art instrumentation, this project aims to develop highly standardized approach with simplified data analysis to break barriers that limit the use of mass spectrometry for large molecules analysis.

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Faculty Supervisor:

Klaus Klarskov

Student:

Partner:

PhenoSwitch Biosciences Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Research in Support of New Orthotropic Steel Bridge Deck Provisions for CSA S6:25

Orthotropic bridge deck is lightweight steel deck, typically fabricated by welding “ribs” to the underside of a flat steel plate. The potential benefits of these deck systems are compelling. For example, from 1991 to 1993, the deteriorating deck on the Champlain Bridge was replaced with orthotropic steel deck panels weighing 25% less than the original reinforced concrete deck. The reduced self-weight enabled the bridge to continue to operate despite increasing live loads and deterioration of the superstructure for another two decades. In the last code cycle, provisions in CSA S6 for orthotropic bridge deck design were replaced with a reference to the American AASHTO Bridge Specification, on the basis the Canadian provisions were no longer up-to-date. On this basis, the goals of this project will be to: 1) conduct an in-depth review of the state-of-knowledge on steel orthotropic deck design; 2) perform preliminary structural analyses on a broad range of deck spans and configurations, to test the implementation of the current design approach; and 3) produce two reports, each including a summary of findings, and identified areas of improvement for future editions of CSA S6 and future research.

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Faculty Supervisor:

Scott Walbridge;Bruno Massicotte

Student:

Partner:

CSA Group

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Multiplexed quantitative proteomics approaches to characterize residual host cell protein impurities in biopharmaceutical processing

Many drugs, such as those made of antibodies, are produced using cells from bacteria and other organisms. Companies such as BioVectra use this approach to produce antibody drugs efficiently and cost-effectively. At the end of the production process, residue such as protein from the “host” cells (called host cell proteins, or HCPs) must be removed from the antibody. Although methods are currently available to test for HCPs, they do not fully identify all those present. Furthermore, how drug production processes effect what HCPs are present is not known. Here, interns will undertake a project using new methods to determine the amount and types of specific HCPs in left behind in antibody drugs produced in bacteria. These methods will also be used to compare different ways of producing antibody drugs that may limit HCPs. In the end, the application of this approach will allow BioVectra to produce the safest and most efficacious drugs possible for public use.

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Faculty Supervisor:

J. Patrick Murphy

Student:

Partner:

BIOVECTRA Inc.

Discipline:

Physics

Sector:

Pharmaceuticals; Biotechnology; Life Sciences (not health)

University:

University of Prince Edward Island

Program:

Accelerate

Valorisation des plastiques usés par voie de composites formulés avec de la biomasse résiduelle

L’usage excessif des plastiques à l’échelle mondiale engendre de grands défis liés au control de la pollution, particulièrement dans les océans, mais aussi au niveau de l’empreinte carbonique de leur production. Dans le contexte de crise sanitaire actuel due à la COVID-19, les équipements de protection personnel sont nécessaires et leurs utilisation, obligatoire, a augmenté de manière exponentielle. Les déchets engendrés par ces équipements à usage uniques ne sont toutefois pas encore recyclables, et leur disposition est réduite à l’enfouissement ou à l’incinération. Ce projet se penche sur la valorisation de ces déchets pour la production de carburants durables. Les produits issus de la valorisation doivent avoir une formulation finale ajustée certifié durable (certification ISCC).

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Faculty Supervisor:

Inès Esma Achouri;Nicolas Abatzoglou

Student:

Partner:

CRB Innovation;MGA environnement

Discipline:

Engineering

Sector:

Agriculture; Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Efficient Cutting for Haptic Surgery Simulation using Hybrid Deformation Models

This research project aims to expand Symgery’s line of surgical training products by simulating cutting and tearing of physical models in real-time. Cutting and tearing of simulated models typically requires additional computational overhead due to post-processing of the volumetric mesh. However, our approach will render the process to be more efficient by using a hybrid model that combines continuum FEM models with mass-spring systems within a position based dynamics (PBD) framework. Implementation on a GPU and multi-core CPU will further improve performance.

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Faculty Supervisor:

Sheldon Andrews

Student:

Partner:

Symgery Inc

Discipline:

Computer science

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Évaluation de l’implantation et des effets du programme Soutien aux Comportements Positifs en milieu résidentiel adulte (SCP-RA)

Notre projet vise à développer et évaluer un programme de soutien au comportement positif spécifique à un milieu résidentiel adulte (SCP-RA) hébergeant des personnes ayant un trouble du spectre de l’autisme et des besoins modérés de soutien. Ce programme vise à créer un environnement positif, harmonieux, organisé et prévisible en favorisant les comportements prosociaux et en diminuant les comportements perturbateurs.
La formation au programme SCP-RA sera destinée à tous les employés de la résidence. Notre approche de formation prend en compte les caractéristiques du personnel dans ce type de milieu et les enjeux propres à la formation en milieu de travail. L’approche d’implantation du programme SCP-RA visera la pérennité du programme en mettant la direction de la résidence au coeur du projet et la cohérence du SCP-RA avec les valeurs du milieu.
Nous évaluerons l’implantation du programme puis ses effets sur le personnel, les résidents et les parents des résidents.

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Faculty Supervisor:

Malena Argumedes Charles;Marie-Michèle Dufour;Marie-Michèle Dufour;Valérie Martin

Student:

Partner:

Fondation Véro & Louis

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université de Montréal; Université de Sherbrooke

Program:

Accelerate

Assessment of Physiological Vibration Acceleration (Phybrata) Sensor in Diagnosis of Multiple Sclerosis – Year two

Globally, Canada has the highest prevalence of Multiple Sclerosis (MS). Diagnosis relies on magnetic resonance imaging (MRI) to monitor lesion development over time in the brain, spinal cord, and optic nerve. Despite its wide utility, MRI is not easily accessible. MRI requires a designated medical facility and expertise? is expensive, and needs to be done repeatedly to diagnose MS.
Early diagnosis and intervention are crucial to minimize the progression and severity of impairments in MS patients. This project will assess the PROTXX “phybrata” wearable neurophysiological sensor as an easier-to-use, lower cost, and more widely accessible solution that has the potential to revolutionize the diagnosis and monitoring of MS. Clinical applications of the phybrata sensor already encompass concussions, stroke, invasive neurosurgeries, Parkinson’s disease, and elderly frailty. Preliminary work using the PROTXX sensor for remote monitoring of MS patients has also indicated potential broader diagnostic utility. The current study will be the first to thoroughly investigate the potential of digital biomarkers derived from phybrata sensor signals to determine lesion locations in MS patients.

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Faculty Supervisor:

Jodie Gawryluk

Student:

Partner:

PROTXX;Neursantys

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Elevate

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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.