Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Analyse et conception d’un circuit d’extraction des caractéristiques dynamiques des transistors SiC et GaN avec optimisation des éléments parasites

Les technologies à semi-conducteurs de puissance évoluent rapidement. Ces technologies se retrouvent dans différentes applications telles l’aéronautique et le transport terrestre. Elles permettent d’obtenir des rendements élevés et permettent de minimiser le poids des divers composants des convertisseurs d’énergie. Toutefois, afin d’optimiser les bénéfices apportés par ces nouvelles technologies, il est important de bien comprendre leur mécanisme de fonctionnement et particulièrement lorsqu’ils commutent (change d’état.) Ce projet de recherche a pour objectif de développer un module permettant l’extraction des grandeurs liées à ce changement d’état. Ces résultats expérimentaux permettront une quantification directe des grandeurs en plus de permettre de valider des nouvelles méthodes analytiques développées dans des travaux précédents. Le succès de ce projet de recherche permettra à l’entreprise impliquée de mieux comprendre ces nouvelles technologies et de rendre ses choix technologiques en la matière mieux appuyés.

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Faculty Supervisor:

Handy Fortin-Blanchette

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Design and Construction of a Low-Cost, High Step-Up, High Isolation AC/DC Converter

This work will develop a high voltage power supply that is lower cost than currently available systems and has the unique feature of being electrically isolated from the input, meaning that multiple supplies can be stacked to increase the output voltage. This work will be used for fusion research but may find many uses in other renewable systems.

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Faculty Supervisor:

Steve McGarry

Student:

Partner:

Soleinium Corp

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Development of Porous Rubber Pavement for the Canadian Climate

Porous Rubber Pavement (PRP) is a new type of permeable pavement in North America. It consists of stone aggregates, crumb rubber from recycled tires, and polyurethane as a binder. Due to a higher percentage of air voids (27% to 29%) and flexible nature, it offers extensive environmental and safety benefits, including improved stormwater management, reduced skid resistance, hydroplaning and greater potential for road traffic noise reduction. In the North American context, this material is currently used for low traffic roads and pedestrian walkways as a surface material. Because of the recent initiation, the performance, and the material properties of PRPs are not fully quantified yet. The main objective of this study is to explore the material properties and improve its performance in the Canadian climate as a pavement surface material for low trafficked areas. Working through this new type of porous paving provides substantial benefits for the partner, which will be realized through an extensive study within the project period. And that will be achieved through delivering a guideline helps the partners to optimize their raw materials and optimize their designs and selection.

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Faculty Supervisor:

Susan L. Tighe

Student:

Partner:

J.D. Roth Enterprises Inc

Discipline:

Engineering

Sector:

Transportation (excluding aerospace); Construction; Sustainability & the Environment

University:

University of Waterloo

Program:

Accelerate

Solution of Complementarity Problems Arisingfrom Rigid Body Dynamics Simulations

Modeling and simulation of realistic motion is one of the important topics in mechanical
engineering and related areas. Such simulations become much more challenging when rigid
body dynamics with frictional contacts appears. The total number of contact points is very
important and is a key element to determine the difficulty level of the simulation, meaning that
if the number of contact points increases, the simulation becomes too difficult or even
impossible. In this project, we would like to develop algorithms by which we can do the
simulation for large number of contact points. The partner organization, CMLabs Simulations
Inc., will greatly benefit from this project. The proposed work is of direct relevance to their
current work that will open possibilities to broaden the applications of CMLabs’ software.

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Faculty Supervisor:

Jozsef Kovecses

Student:

Partner:

CMLabs

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Efficacy and mechanism of action of CB1R inverse agonists for enhancing insulin secretion and for preventing metabolic stress and cytokine-induced ?-cell death in human islets

Inversago and the Prentki Laboratory at CR-CHUM will collaborate to evaluate new generation Cannabinoid-1 receptor (CB1) blockers for the treatment and/or prevention of type-1 and type-2 diabetes. Previous generations of CB1 blockers have shown their promise in treating several features of the metabolic syndrome, including obesity, type-2 diabetes and liver diseases. However, they were plagued with important psychiatric adverse effects which eventually caused the termination of all development and commercial efforts. Inversago’s drug candidates have shown high potency towards the same target (CB1 receptors) but are not providing brain exposure, and therefore should not provoke psychiatric side effects.
Recent research in the field of Type-1 diabetes has suggested that CB1 receptors located in pancreatic beta cells could be linked to improved insulin production and secretion, as well as beta-cell proliferation. As such, it is of interest to evaluate Inversago’s candidates in the research laboratory of the diabetes world expert Prof. Marc Prentki to evaluate their potential to treat type-1 diabetes.

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Faculty Supervisor:

Marc Prentki;S.R. Murthy Madiraju

Student:

Partner:

Inversago Pharma

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Improving Craft Brewing through Optimization of Yeast Function

Beer has been brewed since the dawn of civilization and is composed of only 4 simple ingredients: hops, water, toasted barley (called malt) and yeast. Yeast are the factories that convert chemicals in the starting materials to ethanol and flavors. Not all yeast are the same; over the millennia selection of specific yeast strains for specific brewing purposes has force the yeast to ‘evolve’ changing their genetic composition. For example, yeast used to make ales have a different genetic composition to those used to make lagers. But how does this change in genetic composition lead to such vastly different beers? The aim of this project is to use new technologies in both genetic analyses and chemical classification to identify how the genes in specific yeast strains are able to generate different beers. Our aim is to further ‘train’ yeast to better use their genetic material and make them more efficient at producing specific chemicals/flavors. Brewers make the selection of the appropriate malt and yeast based on previous experience; however, this can lead to problems when trying new brews, using new materials, or troubleshooting.

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Faculty Supervisor:

Christopher Eskiw

Student:

Partner:

21st Street Brewery

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Saskatchewan

Program:

Accelerate

Autonomous navigation of a mobile platform in construction sites using a-priori map information to collect 3D point cloud data

In recent years, the construction industry has adopted a new management methodology called Building Information Modeling (BIM), which integrates a large amount of information from different steps in the construction process in order to guide planning and decision making. An essential part in this process is the acquisition of data directly from the construction sites and its integration into the BIM. Current methods, however, are still manual, which is time consuming, tedious and error-prone. In this context, the use of mobile robots in the construction site can automate the data collection, speeding it up and freeing human workforce to be focused on more critical tasks. This project aims at developing a navigation system that can drive a mobile robot in a construction site, creating a map of it and avoiding obstacles. This solution will help the partner organization by generating more data for the construction management, helping to reduce costs and increase productivity.

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Faculty Supervisor:

David St-Onge

Student:

Partner:

Pomerleau

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

École de technologie supérieure

Program:

Accelerate

Using Communications Theory to Enhance Indigenous Employee Recruitment and Retention on Vancouver Island

Charla Huber wants to identify how employers can better support Indigenous employees. Many companies have identified they want to increase the number of Indigenous employees, but little success has been found. Charla will receive guidance from Indigenous Elders and leaders across British Columbia to understand the differences in how Indigenous people communicate and how their cultural values impact their role as an employee. Once identified, Charla will look at standard workplace systems and organizational design such as job interviews and find ways to tweak them to be more welcoming and supportive of Indigenous and non-Indigenous employees. This research will demonstrate to employers how common practices are filtering out good employees rather than filtering them in.

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Faculty Supervisor:

Jennifer Walinga

Student:

Partner:

M’akola Development Services

Discipline:

Sociology

Sector:

Real estate and rental and leasing; Retail trade

University:

Royal Roads University

Program:

Accelerate

Making cannabinoids in microalgae factories

Algae-C is a company specialized in algal biomass production. It enables on-site production of algae for a wide variety of sectors (aquaculture, nutraceutical, cosmetic and biofuel). To date, many fuels, pharmaceuticals and cosmetic products are extracted from plants. These valuable plant natural products (PNPs) are often produced in low quantities in plants and extraction methods can be long and expensive. Thus, there is much interest in metabolic engineering for developing microbial platforms to produce specific PNPs. Microalgae are well-known systems for plant biology and metabolic engineering and are interesting and suitable hosts for the reconstitution of complex plant pathways. Algae-C wishes to translate metabolic engineering research into industrial processes. This project aims to optimized microalgae platforms for the production of valuable PNPs. This project focuses on PNPs produced by cannabis, i.e. cannabinoids. These ventures are motivated by consumer demand for products that are environmentally friendly, less expensive, and possess properties similar or superior with those generated by PNPs.

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Faculty Supervisor:

Isabel Desgagné-Penix

Student:

Partner:

Algae-C

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Spirits Market Entry

The intern will conduct market research, analysis, and ascertain feasibility of the North American Spirits and Craft Spirits market. Additionally, the intern will be tasked to create a profile for an ideal prospect, alongside compiling prospects, and developing a marketing/sales strategy beyond traditional methods to enter into the Spirits Market. The intern will work closely with the Marketing Coordinator and Marketing Manager to create content and execute a launch plan. This project will aid the organization to meet their revenue targets to offset loss of revenue as a result of COVID-19. Finding new markets that the organization can serve that are within their capabilities will ultimately help mitigate the risks associated with the expected loss in revenue.

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Faculty Supervisor:

Eric Morse

Student:

Partner:

ASL Print FX

Discipline:

Business

Sector:

Manufacturing

University:

The University of Western Ontario

Program:

Business Strategy Internship

Record Keeping on Canadian Cow-Calf Operations

This project will work to better understand record keeping adoption on Canadian farms and ranches. Farmers and ranchers use production and financial records for a number of reasons: to identify trends in production and areas for improvement; to measure financial performance at the whole-farm, business unit (animals, land, profit and cost centres) and individual animal level; and to certify that production practices meet third-party standards.
The purpose of this project is to determine the factors associated with greater rates of adoption of record keeping for these uses and the economic returns gained from using records to make decisions. These findings directly benefit BCRC’s internal record keeping project looking at developing record keeping modules and guidelines for novice, intermediate and advanced producers.

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Faculty Supervisor:

Eric Micheels;Kathy Larson

Student:

Partner:

Canadian Cattle Association

Discipline:

Business

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Validating Artificial Intelligence Algorithms for Breast Cancer Detection

While mammograms remain the best available technology for early detection of breast cancer, there are a high number of false positive mammograms and biopsies, leading to increased costs to the medical system on follow-up procedures and increased patient anxiety. This project evaluates the performance of artificial intelligence (AI) systems for breast cancer detection using about 100,000 digital mammograms from the BC Cancer Breast Screening Program. We plan to compare the predictions of the system to those made by breast screening radiologists in routine clinical practice and then compare and contrast the performance of the AI systems to that of individual radiologists. We believe this work will pave the way in using AI models to aid breast cancer detection in routine clinical care.

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Faculty Supervisor:

Rasika Rajapakshe

Student:

Partner:

Lunit inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia - Okanagan

Program:

Accelerate

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