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

SB Quantum

This internship will help SBQuantum move from an innovative scientific idea to a commercial venture. It supports a Canadian SME and Canada’s execution of quantum expertise as SBQuantum are a part of Canada’s nascent quantum industry. However, for this industry to be successful we need the help of business experts in order to navigate the many challenges start-ups face. This will support Canada as the home of quantum excellence and allow us to identify local use cases to keep the IP in Canada. Additionally, several of our applications are in mining so this internship will help us identify how to turn a novel technology into a solution increasing safety and efficiency in that industry.

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Faculty Supervisor:

William Mitchell

Student:

Partner:

SB Quantum

Discipline:

Business

Sector:

Quantum Science

University:

University of Toronto

Program:

Business Strategy Internship

Goodpin – Executive Apprentice (2)

Pretty standard CURRENT STATE analysis. Then strategic planning around how our company will deliver in the new COVID reality – FUTURE STATE. Then a GAP ANALYSIS between the two, so we can understand the necessary efforts to make that transition fully. This internship will provide a efficiency in multiple key business functions, which are critical to the success of Goodpin throughout the pandemic including: integrating services with clients digitally, creating and activating digital marketing materials, building connections and making sales, operations, and administrative functions. Most importantly, this internship will provide a fresh, innovative perspective on the situation we are all facing, and produce new ideas.

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Faculty Supervisor:

Martin Halek

Student:

Partner:

Goodpin

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Business Strategy Internship

Goodpin – Executive Apprentice (1)

Pretty standard CURRENT STATE analysis. Then strategic planning around how our company will deliver in the new COVID reality – FUTURE STATE. Then a GAP ANALYSIS between the two, so we can understand the necessary efforts to make that transition fully. This internship will provide a efficiency in multiple key business functions, which are critical to the success of Goodpin throughout the pandemic including: integrating services with clients digitally, creating and activating digital marketing materials, building connections and making sales, operations, and administrative functions. Most importantly, this internship will provide a fresh, innovative perspective on the situation we are all facing, and produce new ideas.

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Faculty Supervisor:

Martin Halek

Student:

Partner:

Goodpin

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Business Strategy Internship

Natural Health Products to Manage Cancers of Dogs

More than half of Canadian households have companion animals such as dog or cat. However, cancer has become the leading cause of death in dogs. Currently, available treatments have limitations and compromise the quality of life of dogs. Adored Beast Apothecary wishes to develop unique natural health products to prevent and treat cancers of dogs. The objective of the proposed research project is to develop optimized processes to generate safe and efficacious anti-cancer natural products using a sustainably grown phytoplankton strain. The specific objectives of the project are to identify the natural compounds present in the new product, assess whether the products have antioxidant activity to prevent cancer as well as to treat cancer. The intern (a postdoctoral fellow) will examine both cancer preventive and treatment properties of the new natural health products using cultured mammalian cells. The expected result will become useful for the Adored Beast Apothecary to file a patent application, plan for experiments using animals, and progress with business development plan and commercialization.

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Faculty Supervisor:

Vasantha Rupasinghe

Student:

Partner:

Adored Beast Apothecary;Dragonfly Research Inc.

Discipline:

Life Sciences

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Le processus décisionnel dans le cadre de la détermination du statut de réfugié

es autorités compétentes pour statuer sur une requête d’asile ont pour tâche de déterminer si la personne qui demande l’asile revêt effectivement la qualité de réfugié au sens de l’article 1 A de la Convention relative au statut des réfugiés.
Le projet de recherche consiste à examiner, sur la base de décisions administratives et judiciaires, le processus décisionnel des autorités d’asile confrontées non seulement à une pénurie de preuves, mais aussi à d’importantes différences culturelles et linguistiques, et éventuellement des requérants d’asile en état de choc post-traumatique. Le but est de démontrer la méfiance générale dont font preuve les autorités vis-à-vis des demandes d’asile incomplètes et la part de subjectivité qui entre en ligne de compte dans le processus décisionnel (par exemple en fonction du vécu, de la formation et de la sensibilité du fonctionnaire), ainsi que d’évaluer le poids accordé aux différents moyens de preuve (pertinence, force probante), étant précisé que les requérants d’asile n’ont la plupart du temps pas de moyens de preuve documentaires permettant de confirmer ou d’étayer leurs déclarations, mais uniquement leurs récits.

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Faculty Supervisor:

France Houle

Student:

Partner:

Université de Lausanne

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance

University:

Université de Montréal

Program:

Globalink Research Award

Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we will work with Nutrien Ag Solutions to devise and evaluate a breeding database and associated software tools to assist and accelerate their double haploid breeding program in canola. The results of this research will include an optimized database and optimized data workflows that are developed and evaluated through formal human-computer interaction research methods.

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Faculty Supervisor:

Ian Stavness;Debajyoti Mondal

Student:

Partner:

Nutrien Ag Solutions (Saskatoon, SK)

Discipline:

Computer science

Sector:

Agriculture and Food; Biotechnology; Technology

University:

University of Saskatchewan

Program:

Accelerate

Efficient edge inference benchmarking for AI-driven applications

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices and sensors connected to the Internet, and data generated from these cannot be transferred and processed in geographically distant cloud data centers without incurring delays. Currently we are bringing computation closer to the edge of the network near the data source using intelligent edge devices. However, the edge devices have significant constraints on energy use, size and cost; constraints which point back to a need for effective performance analysis, which in turn requires an effective benchmark. Several benchmarks exist in the literature for evaluating performance of AI applications in edge devices. Each of these benchmarks has made unique contributions. The benchmark will reflect standard practices to help the ecosystem to choose among hardware solutions depending on their power usage constraints and inference performance requirements for efficient edge AI deployments.

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Faculty Supervisor:

Jonathan Wu

Student:

Partner:

LEI Technology Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

Indigenous peoples’ representation in the Greater Toronto Area construction industry

This research project seeks to identify and draw attention to the historical factors leading to the underrepresentation of Indigenous workers in unionized sectors of the construction industry; the problematic relationship between Indigenous workers and their non-Indigenous counterparts, employers and trade unionists; and past and present efforts to address these problems. This work will aid in thinking through the transformation of hiring practices, apprenticeship and other skills training programs, and union models of organizing and outreach to better represent Indigenous workers. I will seek to answer the questions: how many Indigenous workers are there in the construction industry in the GTA? What have their experiences been like in the workplace, apprenticeships and trade union environments? What have been the challenges and successes of the IUOE Local 793, the TCBN, and other community organizations when recruiting and/ or organizing indigenous workers? What have they learned that can be applied elsewhere?

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Faculty Supervisor:

Gilberto Fernandes

Student:

Partner:

International Union of Operating Engineers’ Local 793;Toronto Community Benefits Network

Discipline:

Sociology

Sector:

Construction and infrastructure

University:

York University

Program:

Accelerate

Temporal soft clustering for profiling and predictive analytics in elderly care homes

Nxtgen Care provides monitoring services for elderly care homes across North America. Their product provides detailed analysis in visual formats to understand the resident’s requirements and directing care in that direction. To meet this goal, voluminous data is collected from the various activities of the residents. Through this project, this data is processed and directed in a way to optimize resources for effective scheduling in a timely manner. This is done with the help of advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques. The movements of the residents will be tracked in a timely manner to understand the behaviour and scheduling the care accordingly. This project focuses on providing effective care to elderly people along with effective resource management.

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

Nxtgen Care

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

Saint Mary's University

Program:

Accelerate

Modelling and Simulation of District Energy Networks

District energy systems are specialized and sophisticated energy solutions that require detailed design and analysis. Their integration with existing utility infrastructure strengthens the resiliency and reliability of the energy services as it enables cities to achieve their energy savings targets and greenhouse gas emission targets. This research will investigate and model the use of distributed energy resources like combined cooling heat and power generators, heat pumps, thermal storage units, thermal and PV solar and waste heat to determine optimal system operation. Seven district energy systems will be developed to model business as usual, cooling only, heating only, as well as combined heating and cooling scenarios. Systems will be comprehensively analyzed used primary thermodynamic principles of mass, energy, entropy and exergy analyses. Environmental impact assessment along with techno economic evaluation will also be conducted. Overall, the primary objective of this research is to model and analyze distinct district energy systems for various applications.

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Faculty Supervisor:

Ibrahim Dincer

Student:

Partner:

Cascara Energy

Discipline:

Engineering

Sector:

Utilities

University:

University of Ontario Institute of Technology

Program:

Accelerate

Considerations for an exercise training program for women living with obesity-related infertility: a community-based feasibility study

Increased physical activity has been shown to be beneficial for people who experience infertility and obesity. However, limited research exists on exercise programs that help women improve their ability to conceive. Using the principles of exercise science, our research team will develop an exercise program for women experiencing infertility and obesity. Due to COVID-19, there has been a suspension in fertility services, highlighting the need for non-invasive treatment options that can be prescribed virtually.
Nutra Holdings Inc. is a nutritional supplement e-commerce company based in St. John’s, NL. This is an innovative partnership as the development of an exercise program for women with infertility will expand Nutra Holdings Inc. into the field of exercise prescription. In the future, this has potential for new products to include packaging exercise programs and supplements. Nutra Holding Inc. will share principles of marketing for knowledge translation from academic research to the general public.

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Faculty Supervisor:

Laurie Twells;Fabien Basset

Student:

Partner:

Nutra Holdings Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Caractérisation des systèmes d’isolation de masse et de spires des bobinages du stator des grandes machines tournantes

Ce projet a pour but d’ameliorer le controle de qualite et l’entretien des gros equipements de production d’energie electrique, soit les grands hydro-alternateurs. Une des parties problematiques de ces equipements est l’enroulement situe dans la partie fixe de la machine, soit le stator. Ce dernier est en effet soumis a des importantes contraintes electriques, mecaniques et thermiques qui peuvent avec le temps causer des bris. Ce projet developpera des outils permettant de s’assurer de la qualite de ces composantes ainsi que pour determiner leur etat pour les machines en service depuis plusieurs annees, voire plusieurs decennies. Ces outils permettront une meilleure fiabilite et une meilleure planification des operations de maintenance.

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Faculty Supervisor:

Eric David

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

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.