Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Information-based Public Transport Control Strategy Study Under Pandemic Situation

Health and safety are key concerns during the current public health crisis to individuals who rely on public transit. To lessen the risk of those individuals, the research aims to develop an information-based control strategy using real-time travel information as a meaningful non-pharmaceutical intervention strategy in the public transportation sector. To achieve this goal, the proposed research has four distinct but related parts that contribute to a safer and resilient public transportation system. First, this research will measure the risk level of infection. Second, the research will explore how information and travel recommendations change the traveler’s choice. Third, we will develop a realistic design of a real-time framework to control the target level of density by providing real-time travel information. Finally, we will take an integrated, user-centered approach based on advanced gamification design techniques to increase transit user’s compliance rate with the travel recommendation. The proposed models can assist in developing the effectiveness of continuing various policies to minimize the spreading of COVID-19.

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Faculty Supervisor:

Yong Hoon Kim

Student:

Partner:

University of Seoul

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Public Service, Policy, and Governance

University:

University of Windsor

Program:

Globalink Research Award

Integrated Circuit Architectures for Photonic Computing

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in areas such as medical diagnosis, telecommunications, and high-performance and scientific computing. However, interfacing electronics are still required, at a minimum to control the photonic devices. This project researchers the microelectronic integrated circuits required to interface to photonic neural networks for computing. In collaboration with industry partners, the objective is to co-design the combined electronic/photonic neural network.

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Faculty Supervisor:

Tony Chan Carusone

Student:

Partner:

Huawei Technologies Canada Co Ltd (Markham, ON)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Eye tracking and ECG as flight crew workload indicators in a training context

Pilots are responsible for the safe operations of airplanes in complex environments. Therefore, is it essential that pilots receive high quality training. High quality training is dependent on instructor’s ability to provide constructive feedback and help pilots perform to the best of their abilities. The recent development of portable biometric sensors, such as the Apple Watch, open up a realm of possibilities for creating tools for instructors to provide quality feedback to pilot candidates. This partnership, between Keplr Intelligence and Concodia Vision Labs aims to combine the power of artificial intelligence with that of cognitive science to develop a tool which would enable instructors to better understand pilot candidates’ performance in the fast-paced, high-risk environment of flight training. This is expected to contribute to increasing flight safety and the quality of pilot training, all while strengthening Montreal’s position as a leader in aviation and artificial intelligence.

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Faculty Supervisor:

Aaron Johnson

Student:

Partner:

Keplr Intelligence

Discipline:

Sociology

Sector:

Education

University:

Concordia University

Program:

Accelerate

Developing Novel Biosensors for Remote Detection of Cardiac Arrest

When a citizen collapses from sudden cardiac arrest (SCA), it must be recognized before anyone can call 9-1-1 or bystanders can start cardiopulmonary resuscitation (CPR). In more than 75% of all SCAs, no one is there to witness the event, and resultant survival is near 0%. To address delays in detecting SCA and administering CPR, this project aims to develop wearable sensors to identify SCA and automatically call 9-1-1 with global positioning system (GPS) co-ordinates. Death from SCA is a significant and unrecognized epidemic in Canada affecting over 20,000 people annually. Immediate recognition of SCAs would have the potential to impact thousands of individuals and their families in Canada every year. This project is strategically aligned with the goals of our partner organization, CHÉOS,’ contributes to training the next generation of researchers and working cooperatively with other health research organizations, including those at the University of British Columbia and beyond, to develop and carry out research strategies that impact the health and wellbeing of Canadians.

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Faculty Supervisor:

Brian Grunau;Babak Shadgan;Calvin Kuo

Student:

Partner:

Providence Health Care

Discipline:

Engineering

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Improving technology for identifying environmental microplastics with machine learning

The average human consumes a credit card worth of plastic every week as a result of environmental microplastics. The tools and technology that are currently used to analyze chemical compound structures to identify polymer types in microplastics research are not well-calibrated for field-specific use. Raman spectroscopy data from microplastics samples is imperfect. Furthermore, plastics that have been weathered by environmental factors offer even less analytic certainty. Various environmental factors further skew the spectroscopy data. Machine learning tools and techniques can allow us to better calibrate the research tools for certainty in microplastics analysis.
This research study will not only improve our knowledge of microplastics spectroscopy data broadly, but also break new ground into understanding chemical compounds of plastics that have been weathered by various environmental processes. The significance of this project is to strive for a measurably improved predictive capacity of Raman spectroscopy data to help classify polymer types through an applied machine learning process.

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Faculty Supervisor:

Sheela Ramanna

Student:

Partner:

Compound Connect

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Winnipeg

Program:

Accelerate

Performance de l’utilisation des fertilisants liquides organiques en condition de serre biologiques de plein sol

Le secteur de production de légumes biologiques en serre de plein sol est en essor au Québec. Afin de répondre à cette demande et si l’on veut accroître et la productivité de ces cultures et augmenter les superficies en mesure de produire 10-12 mois par année, il est impératif de combler les lacunes sérieuses en matière de nos connaissances sur l’impact des pratiques actuelles de gestion des nutriments afin d’assurer le maintien de la santé des sols et la qualité de l’environnement. L’objectif de ce projet est de 1) documenter la dynamique de l’azote (N) et du phosphore (P) en culture de serre de plein sol en fonction des pratiques culturales biologiques actuelles et de 2) Proposer et tester une méthode durable de gestion de l’N et du P. Le projet contribuera à assurer la durabilité de la ressource sol et de la production de légumes de serre de plein sol qui en plus d’être en essor constitue un moteur de la vitalité de l’économie locale dans plusieurs régions du Québec.

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Faculty Supervisor:

Jacynthe Dessureault-Rompré

Student:

Partner:

Circulus AgTech Solutions Inc.

Discipline:

Earth science

Sector:

Agriculture and Food; Sustainability & the Environment; Other

University:

Université Laval

Program:

Accelerate

Nutrient uptake and growth of vegetative and reproductive parts of thalli in Ascophyllum nodosum (Rockweed)

Ascophyllum is a perennial brown seaweed that is an important economic resource in eastern Canada in which hundreds of people are employed in the harvesting, processing and marketing of this alga. Growth of the vegetative parts of plants occurs mainly in the summer and fall, whereas growth and maturation of reproductive structures (i.e. receptacles) occurs mainly in the winter and spring. While the reproductive structure are photosynthetic, it is unclear the extent to which growth of these structures is based on nutrient uptake from the surrounding water and photosynthesis in the receptacles themselves, or if it is based on stored inorganic and organic nutrients in the vegetative thallus. The research will study these processes at the time of year when the receptacles are undergoing major growth.
This research will: (1) inform a previously unstudied aspect of the physiology and ecology of this important resource; (2) inform the potential of the species for bioremediation in coastal habitats of Nova Scotia; and (3) inform harvesting strategies based on a clearer picture of chemical composition of the plant.

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Faculty Supervisor:

David Garbary

Student:

Partner:

Incheon National University

Discipline:

Life Sciences

Sector:

Aquaculture and Fishing; Environmental Science and Technology; Life Sciences (not health)

University:

St. Francis Xavier University

Program:

Globalink Research Award

Les conséquences de la pandémie de COVID-19 sur la santé des étudiants et des employés universitaires : état de la situation et pistes de solution

En raison de la propagation mondiale de la COVID-19, le directeur général de l’OMS a décrété le 11 mars 2020 l’état de pandémie. Les populations scolaires, notamment universitaires, ont été les premières à être affectées par des fermetures d’établissement le 13 mars 2020. Des solutions d’urgence ont alors été mises en œuvre au sein des différents campus afin de permettre aux étudiants de finaliser leur trimestre d’hiver 2020. Ce passage du « présentiel » vers le « numérique » a demandé aux étudiants et aux employés de déployer des énergies considérables afin de s’adapter à cette nouvelle réalité. Ces solutions qui avaient été imaginées comme temporaires se sont depuis maintenues et diversifiées dans l’ensemble des établissements d’enseignement supérieur. C’est ainsi que des milliers d’étudiants et d’employés du réseau de l’Université du Québec (+/- 100 000 personnes) se retrouvent actuellement dans un contexte de télé étude ou de télé travail. C’est dans le but de décrire les conséquences de la pandémie de COVID-19 sur cette population universitaire et de mettre en place des solutions concrètes pour faire face aux enjeux de santé identifiés qu’est entreprise cette étude en trois volets.

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Faculty Supervisor:

Christiane Bergeron-Leclerc;Danielle Maltais

Student:

Partner:

Syndicat des professeures et professeurs de l'Université du Québec à Chicoutimi

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Field evaluation of Humic Land, a biological promoter of corn growth and the soil microbiome

Humic Land is a 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains complex organic compounds known as humic substances and a microbial consortia that can biologically promote the growth of field crops. Since corn plants that obtain a balanced nutrient supply from the soil microbiome are expected to grow larger and have faster phenological development, compared to their counterparts that have a suboptimal nutritional balance, we evaluated the agronomic performance of Humic Land on field-grown corn. Humic Land is being tested for its effectiveness as a seed priming treatment and as a soil-applied inoculant to boost corn growth in a replicated field research trial. The project will demonstrate the commercial potential of Humic Land for corn production in realistic field environments in Canada.

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Faculty Supervisor:

Joann Whalen

Student:

Partner:

Rogitex

Discipline:

Life Sciences

Sector:

Wholesale trade

University:

McGill University

Program:

Accelerate

Estimation of turbine runner blade measured strains from indirect measurements using machine learning

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units – TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies. Data from monitoring systems are little used in routine maintenance management activities, often due to lack of time and adequate and/or effective analysis methods.
Equipment maintenance is an important part of Hydro-Québec’s equipment management activities. The creation and maintenance of a surveillance system is a major investment for the company. With the development of machine learning analysis approaches, the goal is to provide operators with a clearer view of real-time asset status and predictions about their potential for use.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

Université de Montréal

Program:

Accelerate

Collagen-based composite bioink development

The continuous world innovation in the manifacturing techniques led to the development of highly precise technologies such as 3D printing. This technique has been then further improved in such a way to print biomaterials and cells, with extreme precision. It constitute a significant innovation for tissue engineering research. Collagen, the most abundant protein of the human body, is one of the most used and promising biomaterials in tissue engineering, since it provides a favorable environment for cell activities. However, it is mechanically weak, suitable for soft matrix, and for this reason 3D printing is highly challenging. The targeted strategy to overcome this drawback is to combine collagen with other biomaterials, which should act as mechanical reinforcement for the matrix, thus providing the required properties for bioprinting. The hybrid matrix must represent a favorable biological environment for embedded cells. This brings to the choice of natural-derived biomaterials as support to collagen. In this project, we propose a combination of hyaluronic acid and collagen to obtain a printable formulation. The hybrid matrix will be prepared and fully characterized for the printability, and the biological outcome.

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Faculty Supervisor:

Diego Mantovani

Student:

Partner:

AO Research Institute Davos

Discipline:

Engineering

Sector:

Advanced Manufacturing; Biotechnology; Health and Related Sciences & Technology

University:

Université Laval

Program:

Globalink Research Award

Développement d’un outil de détection des mucines oculaires pour l’amélioration de la médication en ophtalmologie

Avec l’augmentation du nombre de personnes sur Terre et du vieillissement dans le monde, les maladies oculaires deviennent des enjeux économiques et sociétaux. De nombreuses recherches sont en cours pour développer des vecteurs de médicament mucoadhésifs pour ces maladies afin d’améliorer l’administration des médicaments dans les gouttes ophtalmiques. Cependant, chaque individu possède une composition en mucine oculaire différente et certaines pathologies oculaires modifient également la muqueuse oculaire. De ce fait, le développement d’une plateforme moléculaire de dosage de mucines présentes à la surface oculaire, de manière sensible et sélective, permettrait d’améliorer efficacement le diagnostic dans certains cas et également le traitement de maladies oculaires en proposant le vecteur de médicaments le plus adapté pour chacun. L’objectif de ce travail consiste donc à proposer une plateforme de détection à base de monocouche auto-assemblées fonctionnalisée avec des nanoparticules d’or et des aptamères spécifiques des mucines à détecter par spectroscopie Raman exaltée par effet de surface (SERS).

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Faculty Supervisor:

Élodie Boisselier

Student:

Partner:

Université de Bordeaux 1

Discipline:

Physics

Sector:

Nanotechnology; Biotechnology; Health and Related Sciences & Technology

University:

Université Laval

Program:

Globalink Research Award

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