Innovative Projects Realized

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

31133 Completed Projects

2940
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5159
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837
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685
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882
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9292
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9695
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97
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601
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1161
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Projects by Category

La coopération inter-organisationnelle: La bête noire de la paix africaine

Cette recherche a pour but de contribuer à la recherche sur la coopération internationale et plus précisément la coopération inter-organisationnelle dans le cadre des opérations de la paix en Afrique. Les conflits étant de plus en plus nombreux et complexes, la coopération inter-organisationnelle est devenue extrêmement sollicitée, multipliant la présence d’acteurs dans les régions affectées par des conflits, notamment en Afrique de l’Ouest. Comment en est-il que malgré la consolidation de partenariat inter-organisationnelle, l’Afrique soit toujours l’un des continents avec le plus d’instabilité? À la lumière de cette interrogation, ce travail cherche à analyser les problématiques identifiées dans les opérations de paix en Afrique, à travers la question suivante : quels sont les obstacles à la coopération inter-organisationnelle dans la gestion de conflit en Afrique?? Lorsque plusieurs organisations sont impliquées dans la gestion d’un même conflit, quels sont les éléments qui empêchent la coordination, la transparence et l’efficacité des acteurs impliqués dans les opérations de paix?

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Faculty Supervisor:

Frédéric Mérand

Student:

Partner:

Université Catholique de Louvain

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Mechanism of action of novel anti-Helicobacter pylori agents from lactic acid bacteria secretions

Helicobacter pylori (HP) colonizes chronically ~50% of the world’s population, causing gastric tissue inflammation and gastric ulcers or cancers. Lactic Acid Bacteria (LAB) have probiotic effects against HP, meaning that they help alleviate symptoms. We found that 5 LAB provided by partner Lallemand Health Solutions (LHS) produce and release molecules that inhibit the growth of HP and abrogate features essential for gastric colonization by HP. The LAB secretions also decrease HP’s ability to cause inflammation in human gastric cells. We aim at characterizing the active molecules to develop them into therapeutic agents and validate the applicability of LAB as probiotics with anti-HP effects. We also aim at understanding the mechanisms of action involved by assessing the effects on gastric cells. This work will eventually benefit ~6 million new gastric ulcers or cancers patients per year worldwide and will alleviate the economic burden of health care costs associated with these diseases.

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Faculty Supervisor:

Carole Creuzenet

Student:

Partner:

Lallemand Health Solutions Inc (Montreal, QC)

Discipline:

Life Sciences

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

Automated Assembly of Metal Frames for Home Construction using Mobile Manipulators

Using metal frames for constructing residential buildings is gaining attention in North America. They would be advantageous over wood frames because: (1) metal has a higher strength-to-weight ratio, therefore, less framing would be required, (2) metal frames are lighter in weight than wood, so easier to carry them on site, and (3) they offer better fire and moisture resistance than that in woods. However, installing the metal frames on site can be very time consuming. At RoboticMetalFrameAssembly (RMFA), they focus on partial assembly of wall frames on a manufacturing floor, before they are shipped to the construction site. Partial assembly of the frames, however, can be still very labor intensive, tiring, and unsafe. In this project, we aim to develop a digital twin of the entire manufacturing plant, and processes, in which different motion planning and control strategies will be simulated, validated, and optimized for the first time, to the best of our knowledge. These plans can be seamlessly and readily implemented in the field by the RMFA at the end of the project’s life cycle.

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Faculty Supervisor:

Kamal Gupta;Mehran Mehrandezh;Mehran Mehrandezh;Kamal Gupta

Student:

Partner:

Robotic Metal Frame Assembly

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

Simon Fraser University; University of Regina

Program:

Accelerate

Intelligent Refuse Collection Planning – Using Data to Automate the Logistics for Waste Removal in City Parks.

One of the challenges of the City of Windsor is that there is no clear indication on the fullness of the public garbage bins resulting in unwanted consumption of resources (vehicle trips, labor work, fuel costs, etc.). This project will focus on developing an environmental and economical software solution which involves adding sensors to the bins and gathering enough information so that It can be deployed in the form of a dashboard to monitor the status of the bins and help in the efficient allocation of resources. With the rising cost of using carbon-based operations, this project will not only provide a way to save money today but well into the future for the City of Windsor.

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Faculty Supervisor:

Sodiq Shofoluwe;John Lopez

Student:

Partner:

City of Windsor

Discipline:

Business

Sector:

Public administration

University:

St. Clair College of Applied Arts and Technology

Program:

Business Strategy Internship

Strategic Supply Chain Manager – Kumar Shanu

Cyclic Materials are helping the world transition to a more environmentally responsible future by recovering rare earth elements and other valuable materials from the difficult-to-recycle products of the modern world. Helping businesses recycle, provide the market with a secure and regional supply of critical metals, and do so in an ethical, economic, and sustainable way. With the global market for magnet rare earth elements forecast to increase five-fold by 2030, establishing new sources of these critical elements will be vital to support the electrification of the economy across Canada, North America, and the world. Cyclic Materials is positioned to be a key player in developing a circular economy to support the global energy transitions.
Rare earth magnets are used in a range of devices (e.g. electric motors, wind turbines, hard drives to name a few) and many of these devices are currently recycled to capture the value of the base metals, however, no one is capturing these critical metals to recycle them back into the economy. For Cyclic Materials a strategic supply source of magnets from end-of-life devices are old electric motors.

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Faculty Supervisor:

Norah McRae

Student:

Partner:

REEcycle

Discipline:

Business

Sector:

Agriculture; Manufacturing; Professional, scientific and technical services; Transportation and warehousing

University:

University of Waterloo; York University

Program:

Business Strategy Internship

Metal Organic Frameworks (MOFs) as hypergolic additives for rocket propulsion

The space industry is growing ever larger, with many commercial solutions being actively developed. Hybrid rocket engines fulfill a need in smaller launchers, to launch small satellites. These satellites currently have to wait in queue, often for several years, in order to obtain a place on the big launchers currently available. Solutions developed locally by startup companies would enable more frequent launches of smaller payloads. A key technology that permits this is hybrid rocket engines, with lesser complexity than liquid engines, and greater performance than solid rocket boosters.
Novel fuel mixtures are currently being investigated, as greener alternatives than what is commonly used (hydrazine derivatives). Hypergolic fuels ignite spontaneously on contact with the oxidizer, and therefore further reduce engine complexity by removing the need for an ignition system. Metal Organic Frameworks (MOFs) have shown such hypergolic properties. The objective of this project is to investigate these novel hypergolic fuels and ultimately assess their viability in engine conditions.
The research done in this project will increase our understanding of Metal Organic Frameworks (MOFs) and their interaction with common oxidizers, such as white fuming nitric acid (WFNA), and green alternatives, such as hydrogen peroxide.

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Faculty Supervisor:

Etienne Robert

Student:

Partner:

ACSYNAM

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Derivation of biased bitopic ligands for class A GPCRs – an NMR approach

Our goal is to employ a host of new compounds, made by the applicant in her lab in Brazil, for drug discovery studies at the University of Toronto. Specifically, the host uses a technique called Nuclear Magnetic Resonance (NMR) to obtain signatures of drugs or ligands. These signatures can identify those compounds which bind strongly to the drug target – in this case a membrane protein belonging to an important family of membrane proteins call G Protein-Coupled Receptors (GPCRs). 30-40% of all drugs actually target GPCRs making this an important class of drug targets. The NMR used by the host PI focuses on compounds or species which are fluorinated. The associated 19F (fluorine) NMR is probably more sensitive than any other NMR approach in terms of identifying binding species. The student will perform docking experiments, learn how to implement the fragment based drug discovery methods using NMR, learn how to express and purify the membrane receptors, and test her new compounds for compatibility with the existing library and potential to modulate receptor action (ie serve as drugs).

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Faculty Supervisor:

Scott Prosser

Student:

Partner:

Universidade Estadual de Maringá

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Biotechnology; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Globalink Research Award

Développement d’un cadre d’analyse des données collectées par les organismes des arts de la scène pendant la période de COVID-19

La crise de la COVID-19 a stimulé le besoin de transformation numérique des organisations afin d’adapter leurs modèles et pratiques d’af-faires pour survivre à la pandémie. Compte tenu de la nature de la consommation directe de la plupart des offres culturelles, le secteur cultu-rel semble souffrir de la pandémie de COVID-19 plus que les autres industries. Dans cette perspective, notre projet de recherche vise à proposer une approche pour la conception et la mise en œuvre d’un cadre d’analyse des données collectées sur les publics par les organismes des arts de la scène pendant la COVID-19 en mettant l’accent sur des outils qui soutiennent la visualisation et les décisions basées sur les données. Ces outils seront développés à partir d’une analyse des différentes périodes de fermeture, ouverture et autres conditions qui ont été imposées par le gouvernement du Québec aux salles de spectacle combinées à des sources de données fournies par des partenaires de Sy-napse C qui serviront de cas d’usage.

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Faculty Supervisor:

Thomas Hurtut

Student:

Partner:

Synapse C

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Improving Measurement for Near Term Quantum Computers

The ability to simulate chemistry accurately allows for significant developments in many fields such as material and drug
discovery. Unfortunately, the underlying equations that describe chemistry become exponentially harder to solve as we increase
the size of the system. This makes it impossible for us to accurately simulate useful molecules on classical computers. A potential
solution to this is quantum computing. In the near term, an algorithm called the Variational Quantum Eigensolver could be used
on quantum computers for the problem. However, one of the limiting factors of this algorithm is the time taken to measure
quantities, such as energy of a molecule, from the quantum computer. The project aims to find techniques to reduce the number
and therefore time needed to accurately measure quantities, and hence improve the speed of quantum computers. We intend to
do this through the idea of ghost Paulis. These are additional ‘operators’ that we add to what we measure, that don’t change the
value measured but reduce the number of measurements we need to accurately determine the value.

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Faculty Supervisor:

Artur Izmaylov

Student:

Partner:

University of Oxford

Discipline:

Physics

Sector:

Quantum Science

University:

University of Toronto

Program:

Globalink Research Award

Social Determinants and Quality of Life Measurement Framework for Indigenous Digital Health Systems

This research project will involve exploration, analysis and consultation for developing of a framework integrating information about social determinants of health and quality of life measures into an Indigenous Digital Health Ecosystem. The framework will include guidance for collecting, analyzing, and using social and health data to inform policy, investment, clinical, and service actions in First Nations communities. The research will leverage the work of the World Health Organization (WHO) on integrated people-centred health services and will be guided by indigenous perspectives and participatory engagement with First Nations communities and stakeholders. In so doing, the research will provide the evidence required for the partner organizations to collaborative develop a new culturally aligned digital platform(“MIS Platform”) and a suite of integrated applications that meet the unique needs of the target indigenous communities to support social determinants of health, ownership and control of data, and Nation-building.

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Faculty Supervisor:

Rick Sawatzky

Student:

Partner:

Mustimuhw Information Solutions Inc.

Discipline:

Life Sciences

Sector:

Information and cultural industries

University:

Trinity Western University

Program:

Accelerate

Beyond accuracy: robustness and generalization properties of biologically plausible learning rules

The overarching goal of my research is to investigate how the brain learns in order to develop brain-inspired learning algorithms that will reduce the computational cost for many machine learning applications. The standard learning algorithm (or learning rule) for training artificial neural networks (ANNs) can be extremely costly in terms of computation and storage, driving a search for more efficient learning algorithms. Meanwhile, the brain excels at learning patterns across multiple timescales efficiently, thereby motivating an influx of biologically motivated learning algorithms. However, the robustness and generalization properties of these learning rules are severely underexamined. Here, we aim to investigate and improve the generalization capabilities of biologically plausible learning algorithms by leveraging recent experimental neuroscience findings as well as theoretical tools from deep learning.

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Faculty Supervisor:

Guillaume Lajoie

Student:

Partner:

University of Washington

Discipline:

Computer science

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Effects of a parent intervention with a growth mindset approach on the quality of parent-child interaction

The quality of parent-child interactions is among the most important active ingredients of early language development. Many interventions, which vary in approach, content and format, focus on improving the quality of these interactions between children and their caregivers in order to promote early language development. Understanding the relationship between the characteristics of these interventions and their effects on parent-child interactions is crucial to developing effective intervention methods. The purpose of this research project is to document the effects of an intervention aimed at providing information to parents about language development using a growth mindset (i.e., sharing the idea that children’s language development is malleable and that parents can help their children’s language grow by conducting specific actions), on the quality of parent-child interaction. The results of this study have the potential to provide practitioners working with young children and their families with evidence-based knowledge to better support parents in fostering their child’s early language development.

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Faculty Supervisor:

Louise Potvin

Student:

Partner:

Harvard University

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

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.