Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Assessing the effect of CO2-induced degradation on wellbore integrity in CO2 storage reservoirs in Lloydminster

Carbon capture and storage (CCS) is essential in achieving the Paris Agreement’s objectives, reducing emissions and meeting Canada’s Net-Zero target by 2050. To this end, shallow depleted heavy oil reservoirs in Saskatchewan and Alberta provide a good opportunity for large scale CO2 sequestration projects. This research focuses on assessing the potential of CO2 storage in the Lloydminster post-CHOPS reservoirs by examining the factors that affect long term wellbore integrity for safe CO2 storage in Waseca and Deadwood formations. This objective will be achieved through a combination of lab experiments, well log data and numerical simulations.

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Faculty Supervisor:

Saman Azadbakht;Alireza Nouri

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Outil d’aide à la décision pour la conception d’un réseau logistique régional mutualisé, efficient et éco-responsable des denrées alimentaires dans les Laurentides

Le chantier transport durable des denrées – volet sécurité alimentaire a été ciblé comme une priorité régionale et le Carrefour bioalimentaire Laurentides a coordonné l’élaboration d’un plan de transport durable ainsi que sa mise en oeuvre. À la suite de nombreuses consultations regroupant les partenaires, le plan de transport durable a permis de se doter d’un portrait et d’élaborer des solutions collectives pour une optimisation durable du transport, de la logistique et de la manutention des denrées alimentaires de qualité pour les clientèles en situation de vulnérabilité dans les Laurentides. Une des recommandations du plan de transport consistait à : ‘’Créer une entreprise d’économie sociale en transport bioalimentaire régional ou octroi de ce rôle à un organisme existant.’’ Le CBL souhaite maintenant se doter d’un portrait de la logistique et du transport des entreprises bioalimentaires de la région des Laurentides afin d’élaborer des modèles de mutualisation permettant de diminuer les ressources en lien avec les services de transport et logistique autant pour les entreprises bioalimentaires que les organismes oeuvrant en sécurité alimentaire.

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Faculty Supervisor:

Ana María Anaya-Arenas;Janosch Ortmann;Yasmina Maïzi;Hani Zbib

Student:

Partner:

Carrefour bioalimentaire Laurentides

Discipline:

Mathematics

Sector:

Agriculture

University:

Université du Québec à Montréal

Program:

Accelerate

Advanced Precision Medicine in Radiation Oncology: Identifying Predictive Markers of Treatment Response

Half of all cancer patients receive radiotherapy, and of this group 15% will develop a tissue injury, or side effect, from the treatment. At present, however, there are no reliable methods for predicting a patient’s response to radiation therapy. We have studied mice with different genetic make ups and determined that there are certain genes which affect the mouse response to radiation. We propose to test whether the human versions of these same genes influence a person’s response to radiation by reviewing the radiation reactions of BC Cancer patients who previously consented to participate. We will not know any patient identities, but we will study their specific genes and determine whether knowing these tells us about their radiation reaction.

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Faculty Supervisor:

Christina Haston

Student:

Partner:

BC Cancer

Discipline:

Life Sciences

Sector:

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

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Structural engineering of non-covalently fused-ring electron acceptors for high performance organic solar cells.

Considering the continually growing energy demands and concerns about climate change due to anthropogenic CO2 generated from fossil fuels, there has been a global endeavor to transition towards low-carbon renewable energy sources, particularly photovoltaic technologies. Organic solar cells (OSCs) are ideal candidates for low-cost PV technologies thanks to the possibility of large-scale device fabrication by solution printing or coating techniques. Though OSCs cells have achieved remarkable progress in the last few decades, stability, efficiency, and cost issues hinder their commercialization. We will address this issue by developing materials called “non-fused ring electron acceptors” which have shown great promise as OSC materials and are potentially more cost effective than current materials. Thus, this research will benefit the community and the partner organization by advancing organic photovoltaic technologies toward commercialization.

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Faculty Supervisor:

Dmitrii Perepichka

Student:

Partner:

1-Material Inc

Discipline:

Physics

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Apprentissage en continu de modèles prédictifs à partir de données d’électrocardiogrammes

Les électrocardiogrammes (ECG) jouent un rôle majeur dans le diagnostic d’anomalies du rythme cardiaque. Cependant, la quantité de données produites pour suivre des patients sur de longues durées devient intraitable. Heureusement, l’apprentissage automatique (ML) a été appliqué avec succès sur des tâches comme la détection de battements et la classification de type de battements. Suivant l’approche ML conventionnelle, des modèles sont entraînés sur des données pré-collectées et ne sont plus mis à jour après leur déploiement. Ce projet vise à développer des stratégies permettant de poursuivre l’apprentissage des modèles avec des données récoltées en déploiement. Des indicateurs permettant d’évaluer l’équité seront également développés pour caractériser la performance des modèles sur les différentes sous-populations composant les données de manière à assurer une évolution des modèles bénéfique à tous. Les systèmes résultants seront livrés au partenaire en vue d’être intégrés à leur architecture ML.

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Faculty Supervisor:

Audrey Durand

Student:

Partner:

Icentia

Discipline:

Computer science

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Building the Evaluation Capacity of the Alberta Mentoring Partnership – Part 3

The goal of the proposed research project is to assist the Alberta Mentoring Partnership (AMP) is building the
capacity of Alberta mentoring organizations to evaluate their mentoring programs using a community-driven
approach. In particular, this year, we hope to develop and implement more accessible supports that will build the
capacity of those organizations who have lower pre-existing knowledge, skills, and motivation to evaluate their
programs. We hope that by helping these organizations build their capacity to gather evidence on their
programs, they will be able to use that evidence to inform the best possible programs, practices, and policies for
supporting children, youth, and families.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Partner:

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline:

Sociology

Sector:

Education; Health and Related Sciences & Technology; Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Real-time AI-based Anomaly Detection of 5G Network Latency ** Extension with new objectives and deliverables **

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology.
This project consists in creating ML Models to perform near real-time anomaly detection of the response time (latency) of 5G cellular technology. This will enable LatenceTech’s solution to send warnings and alerts to management systems so that our customers, mobile operators, can take actions and resolve network issues. Furthermore, notifications of latency anomalies could be sent directly to connected applications (e.g. robotaxis, teleoperation of equipment, telemedicine, etc.) to warn them of current issues related to latency and allowing such application to switch to a “Safe Mode” thus preventing impacts on service quality or security.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

LatenceTech

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Birch Scientific Software Project

Birch Scientific has recently completed an innovation project on the development of digital twin software to support enhanced operations in drilling activities. The grade of software developed thus far must be polished into product form for deployment to customers. This project includes significant software quality assurance(QA) work, developing deployment processes and gathering of customer requirements.

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Faculty Supervisor:

Karteek Popuri

Student:

Partner:

Birch Scientific

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

SSE_GAGNE-NUMANA-VU – Analyse des politiques publiques en lien avec les technologies émergentes

Numana souhaite innover en terme de modèles de politiques publiques en soutien aux talents et au développement des entreprises québécoises des technologies émergentes. L’objectif est d’analyser les politiques qui permettront l’élaboration de recommandations qui seraient soumise aux instances politiques et publiques.

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Faculty Supervisor:

Jean-François Gagné;Frédéric Mérand

Student:

Partner:

Numana

Discipline:

Sociology

Sector:

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

University:

Université de Montréal

Program:

Business Strategy Internship

ML enhanced magnetic noise modeling for quantum magnetometry

Magnetic field sensing is intrinsically sensitive to its environment. In this project, we are developing compensation tools to mitigate against different types of magnetic noise to enhance the accuracy of a quantum magnetometer and of a platform including multiple magnetometers. Data will be collected at various magnetic characterization facilities to inform a ML based correction algorithm to cancel for hard, soft and temperature effects. The results will be directly applied to magnetic survey equipment on ground, air and eventually space to build accurate magnetic maps. Such tools will enhance geological interpretations in mining, refine the accuracy of the World Magnetic Model and ease magnetic sensing deployment across platforms, while enhancing the performance of a diamond based sensor.

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Faculty Supervisor:

Foutse Khomh

Student:

Partner:

SB Quantum

Discipline:

Engineering

Sector:

Aerospace; Environmental Science and Technology; Mining; Quantum Science

University:

Polytechnique Montréal

Program:

Accelerate

Document Clustering: Assigning the Appropriate Research Area(s) to Incoming Project Proposals

There is an Elite graduate program at the University of Toronto’s Department of Computer Science called Master of Applied Science in Computing (MScAC).
During this program students spend 8 months taking graduate courses and 8 months at their applied research internship at multinational research labs and startups, which send their project proposals for program approval. The MScAC business development team wants to know to which categories those projects belong. So the first part of the research is to automatically assign the appropriate research area(s) to incoming research projects without human effort.
Each internship has an industrial supervisor and an academic supervisor. The problem here is there are a lot of professors at the University of Toronto with different research interests. Finding a suitable supervisor whose research interests match the theme of the research project the student is working on can be a time-consuming task.

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Faculty Supervisor:

Annie Lee

Student:

Partner:

Ivan Franko National University of Lviv

Discipline:

Computer science

Sector:

Artificial Intelligence; Education; Technology

University:

University of Toronto

Program:

Globalink Research Award

Développement d’un système THz automatisé de contrôle de la qualité

Aujourd’hui, le processus actuel de contrôle de la qualité dans les industries alimentaires et de l’électronique imprimée ne répond pas parfaitement aux besoins des industriels. Le plastique, à titre d’exemple, est un contaminant qui est très nuisible et complexe à détecter pour les industriels du secteur alimentaire avec les technologies actuelles.
Au cours des deux dernières années, des avancées majeures dans le développement d’émetteurs et de récepteurs Terahertz (THz) ont permis d’envisager la production d’appareils de contrôle THz à des coûts acceptables. Ainsi, le projet mené conjointement par IRIDIS Technologies et TRAQC vise à la création d’une nouvelle solution d’inspection basée sur les ondes électromagnétiques de fréquences THz qui viendrait répondre aux problématiques de contrôle de qualité sectoriel non solutionnées à ce jour.

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Faculty Supervisor:

François Blanchard

Student:

Partner:

Iridis Technologies inc;TRAQC

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

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.