Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Thermal Breaks in Balcony Slabs for Energy Efficient Buildings

The project aims to enhance energy efficiency of buildings by studying thermal break devices at the connection between balcony slabs and floor slab. The intern will design and build floor assembly incorporating the design with the help of the indutry partner. This assembly will be tested at Queen’s niversity to examine the strength and stability of this desiign. Results will be of great value to the precast concrete industry as thermal breaks are currently not being introduced in precast structures.

Voir la description complète du projet
Superviseur du corps professoral :

Amir Fam

Étudiant :

Partenaire :

Canadian Precast Concrete Institute

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

Queen's University

Programme :

Accelerate

Supporting Cultivated Meat Innovation through Cell Banking: Alberta Bovine Cells and More

This project aims to develop a bovine cell bank using Alberta beef to support the production of cultivated meat, a sustainable alternative to traditional meat farming. Instead of raising and slaughtering animals, cultivated meat is created by growing muscle and fat cells in a laboratory, providing real meat with a smaller environmental footprint. The research will focus on isolating and characterizing specific cell types and developing stable cell lines that can be used repeatedly in cultivated meat production.
By establishing a standardized and scalable bovine cell banking system, this project will create a reliable source of high-quality cells for researchers and companies developing cultivated beef products. The results of this research will help build a foundation for future advancements in cellular agriculture, contributing to a more sustainable and innovative approach to meat production that can help feed a growing global population while reducing the impact on natural resources.

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Superviseur du corps professoral :

Ning Xiang

Étudiant :

Partenaire :

New Harvest

Discipline :

Life Sciences

Secteur :

Other services (except public administration)

Université :

University of Alberta

Programme :

Accelerate

De la douleur expérimentale à la douleur chronique : comprendre les synergies musculaires et les stratégies de mouvement.

Le présent projet de recherche vise à étudier comment la douleur affecte les stratégies musculaires et les mouvements lors de la marche et d’autres activités physiques, telles que le mouvement de squat. Les stagiaires impliqués utiliseront des outils innovants pour analyser les synergies musculaires et les caractéristiques du mouvement (Optitrack et GoPro pour l’estimation de la pose développée à l’UdeS ; plateforme de force pour l’analyse cinétique). Le projet se déroulera en deux phases : la première portera sur des personnes participantes en bonne santé exposés à une douleur expérimentale, tandis que la seconde se concentrera sur des patients souffrant de douleurs cliniques au genou. Les résultats pourraient aider à améliorer les traitements de réadaptation et à mieux comprendre les mécanismes liés à la douleur et au mouvement, ce qui pourrait mener à des avancées dans la réadaptation physique et la gestion de la douleur chronique. Il contribuera également à former de futurs chercheurs spécialisés dans ce domaine, en plus de renforcer les collaborations entre les laboratoires canadiens et français.

Voir la description complète du projet
Superviseur du corps professoral :

Guillaume Léonard

Étudiant :

Partenaire :

Université de Picardie Jules Verne

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

Advancing Health Outcomes through Data-Driven Analytics

Nova Scotia Health (NSH) is advancing healthcare by enhancing data management, optimizing decision-making, and improving patient care. This project addresses challenges such as administrative burdens, fragmented data systems, and limited predictive capabilities by implementing advanced data solutions for real-time insights, standardized data management, and predictive healthcare analytics. Through an agile, feedback-driven approach, these innovations will reduce workload, improve efficiency, and support proactive patient care. Aligned with NSH’s innovation strategy, this initiative aims to create a more data-driven, patient-centered healthcare system, setting a model for broader transformation in Canada.

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Superviseur du corps professoral :

Michael Zhang

Étudiant :

Partenaire :

Nova Scotia Health Authority

Discipline :

Business

Secteur :

Finance and Insurance; Health and Related Sciences and Technology; Artificial Intelligence

Université :

Saint Mary's University

Programme :

Accelerate

Agronomic effectiveness of composted phosphorus-rich sludge generated from the chemical treatment of municipal wastewater

Phosphorus-rich sludge generated from the chemical treatment of wastewater lagoons presents a significant challenge for municipalities without effective long-term sludge management strategies. This study explores the potential benefits of using composted phosphorus-rich chemical precipitated sludge as a soil amendment for agriculture. Sludge composted under controlled conditions and adequate bulking agents with the proper ratio to sludge will be applied to canola and wheat crops to compare crop health and yield against crops grown with commercial fertilizer and no fertilizer. The research will also assess the impact of the compost on soil physical properties and runoff mitigation. Results will (1) provide insights into the bioavailability of phosphorus from the composted sludge for plant uptake and (2) highlight the value of recovering phosphorus from wastewater and its sustainable reuse in agriculture, contributing to a circular economy.

Voir la description complète du projet
Superviseur du corps professoral :

Francis Zvomuya

Étudiant :

Partenaire :

Innovantage Inc

Discipline :

Earth science

Secteur :

Administrative and support, waste management and remediation services

Université :

University of Manitoba

Programme :

Accelerate

Development of reprogrammable metamaterial midsole for footwear

Athletic footwear is designed to enhance performance, comfort, and injury prevention. Current midsoles provide a level of performance that cannot be changed after fabrication, forcing a user to wear different pairs of shoes, each specialized for a given sports activity. For example, running shoes require high energy return for efficiency, whereas basketball shoes prioritize energy dissipation to reduce impact forces. Consumers are forced to purchase multiple sport-specific shoes, increasing costs and environmental waste. This project aims to develop a reprogrammable midsole using a recently introduced reprogrammable metamaterial, enabling post-manufacturing adjustments of mechanical performance for multiple sports activities and user requirements. The project will identify the most appropriate additive process for manufacturing and conduct a range of mechanical and computational testing to characterize the reprogrammability and performance of the midsole. The partner organization will gain a significant competitive advantage by accessing cutting-edge adaptive footwear technology with strong commercialization potential.

Voir la description complète du projet
Superviseur du corps professoral :

Damiano Pasini

Étudiant :

Partenaire :

CXC

Discipline :

Engineering

Secteur :

Agriculture; Professional, scientific and technical services

Université :

McGill University

Programme :

Elevate

Research and Development of a Novel Natural Health Product for Pain Relief

This project aims to characterize and standardize Relief Mx, a liquid designed for pain management. Relief Mx combines traditional Chinese medicine with modern pharmaceutical components as an alternative to steroid-based nerve block treatments. The formulation includes active ingredients extracted from four herbal medicines: Achyranthes bidentata, Scrophularia ningpoensis, Lonicera japonica (honeysuckle), and Dendrobium. This study will identify the key constituents of Relief Mx, assess their stability and solubility, and investigate its permeation across membranes in vitro to better understand its pharmaceutical properties. By establishing a clear pharmaceutical profile and evaluating its permeability and diffusion, this research will support product standardization, enhance quality control, and provide scientific validation. These findings will help the partner organization improve product consistency and credibility, facilitating broader clinical adoption and natural health product approval.

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Superviseur du corps professoral :

Neal Davies;Raimar Loebenberg

Étudiant :

Partenaire :

Neurica Scientific

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Monitoring Biogas Plants via Configurable Custom Dashboards and AI-powered Assistants

Anessa offers software solutions for different stages in the lifecycle of a biogas plant. Solutions include feasibility analysis, feedstock planning and optimization, and monitoring. This proposal focuses on improvements and advances in the areas of optimization and monitoring. As a biogas digester uses living bacteria to transform waste materials into gas and fertilizer, creating and maintaining optimal conditions even during external changes such as weather and feedstock fluctuations is key to maximizing revenue and keeping a project as profitable as possible. This research proposes two important advancements to the currently existing framework of anessa tools. Firstly, the goal is to develop a user-friendly and fully customizable dashboard system for real-time monitoring of biogas plants. Secondly, the project goal will be testing an LLM assistant integration into the dashboard system. This AI-powered component will potentially provide users with real-time insights, proactive anomaly detection and personalized guidance.

Voir la description complète du projet
Superviseur du corps professoral :

Georgiy Krylov

Étudiant :

Partenaire :

Anessa

Discipline :

Computer science

Secteur :

Clean Technology; Information and Communication Technology; Artificial Intelligence

Université :

University of New Brunswick

Programme :

Accelerate

A Pose-Correction Method for Intraoperative Measurements in Total Hip Surgery

During hip replacement surgery, current x-ray-based methods for guiding implant placement are often
affected by differences in patient positioning on the surgical table and movements of the hip joints, leading
to inconsistent and unreliable assessments. This research addresses part of these challenges using
advanced computer simulations to explore how various factors influence the accuracy of x-ray-based
measurements during hip replacement surgery. By developing improved techniques to create 3D models
of bones and implants from multiple x-rays taken at different angles during surgery, we aim to provide more
precise and reliable measurements to surgeon during operation. These “adjusted” measurements will
account for movements of pelvis and hip joint positions during surgery. The methods will be tested using
data from 100 simulated surgeries and compared with highly accurate 3D scans. The ultimate goal is to
integrate these advancements into existing assistive technologies, improving surgical outcomes and
reducing the risk of errors.

Voir la description complète du projet
Superviseur du corps professoral :

Ilker Hacihaliloglu

Étudiant :

Partenaire :

Torus Biomedical Solutions Inc.

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Elevate

Novel Machine Learning Visualization of Threat Analysis for Cybersecurity Operations

This project will combine graduate level research expertise with best-in-class managed detection and response security operations, to develop ‘collaborative intelligence’ oriented tooling, in order to support Security Operations Centre (SOC) personnel in rapidly assessing the threat potential of suspect command lines and similar text objects. From a recent analysis of SOC AI usage, it is evident that rapid threat analysis of obfuscated or otherwise complicated code objects is a prime opportunity to enhance SOC performance. We will leverage modern ML, AI, and visualization tools to develop innovative and highly functional SOC threat analysis tooling.

Voir la description complète du projet
Superviseur du corps professoral :

Jian Zhao

Étudiant :

Partenaire :

eSentire

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

High-resolution UAV-LiDAR Mapping for Assessing Erosion and Infrastructure Vulnerability Along the Niagara Escarpment

This project explores the critical geohazards affecting the Niagara Escarpment using advanced UAV-LiDAR technology. By mapping erosion patterns and assessing infrastructure vulnerabilities at sites like Shorthills, Wainfleet, and Balls Falls, the research aims to enhance public safety and inform conservation strategies. A key outreach component, “GeoHikes”, will engage the public through interactive 3D models and educational materials integrated into a digital hub. The project brings together experts in structural geology, fluvial geomorphology, UAV surveying, data science and science communication to deliver cutting-edge insights while promoting community awareness of the region’s unique geological heritage. This work will empower the public with tools to better understand and protect the escarpment’s natural and cultural resources.

Voir la description complète du projet
Superviseur du corps professoral :

Alexander Peace;Elli Papangelakis

Étudiant :

Partenaire :

APGO Education Foundation

Discipline :

Earth science

Secteur :

Education; Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Innovative Recycling Solutions for Transforming Plastic Waste: Advancing Acrylonitrile Butadiene Styrene (ABS) Sustainability

This project addresses the growing problem of plastic waste by developing a method to recycle waste plastics into high-quality materials. Interns will work with Polystyvert, a recycling technology provider, to create a new type of recycled ABS (rABS) plastic using waste materials. They will experiment with blending recycled SAN (rSAN) with both virgin and recycled rubbers to produce durable rABS materials. This process will involve detailed testing of the material’s properties to ensure it meets industry standards. By improving recycling methods, this project aims to reduce environmental impact, lower production costs, and support the development of sustainable materials. The expected benefit for Polystyvert is the creation of more efficient and environmentally friendly recycling processes, leading to high-quality products and a stronger position in the recycling industry.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Lee

Étudiant :

Partenaire :

Polystyvert

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

University of Toronto

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.