Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Classification of human activities and detection of behavioral anomalies using thermopile sensor and machine learning

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification and classification of human activities, including fall detection. It will also help in uncovering patterns in daily activities of an individual and in identification of deviations from the usual behavior. This will be attained using machine learning and data mining techniques. The effort will improve sensor’s capability and its applicability in providing a comprehensive aide to aging in place.

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Faculty Supervisor:

Student:

Partner:

Home Except Inc

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

Saint Mary's University

Program:

Accelerate

Cold plasma therapy as adjuvant to radiotherapy for breast cancer treatment

The goal of this research is to improve breast cancer local control and reduce treatment side effects by demonstrating that a new cold plasma technology, which generates locally specific reactive oxygen species, has an additive positive treatment impact when combined with conventional radiotherapy. This project has the potential to enable a Canadian technology, to become an adjuvant for radiotherapy. This project will perform the preclinical trials required to provide the fist evidences that this technology has the potential to become a clinically relevant tool when used in conjunction with radiotherapy.

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Faculty Supervisor:

Sylvain Coulombe

Student:

Jean-Sébastien Boisvert

Partner:

Instadesign Dev

Discipline:

Engineering - chemical / biological

Sector:

Life sciences

University:

Université de Montréal

Program:

Accelerate

Salmonella biofilm forming ability on Reusable Plastic Crates: Risk of transfer of contamination to fresh product

Reusable plastic crates (RPC’s) are being adopted by the food industry due to the perceived benefits of reduced waste (i.e. paper board), economics and sustainability. However, by reusing crates there is a possibility of distributing contamination from one user to the next if the RPC’s are not sanitized after leaving retailer. Evidence collected over the last 3 years has highlighted that RPC’s delivered to growers/packers can have high microbial load through improper sanitation. However, the actual risk of pathogens, like Salmonella, persisting on crates and contaminating fresh produce remains unknown. The proposed work will establish the extent of food safety risks of Salmonella being present on RPC’s used to pack fresh produce (cucumber and tomatoes) and the efficacy of current sanitizing methods to inactivate the pathogen.  Understanding the risk posed by RPC’s will enable interventions to be put in place to enhance food safety of fresh produce.

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Faculty Supervisor:

Student:

Partner:

Paper and Paperboard Packaging Environmental Council

Discipline:

Food science

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Certifiable Fly-By-Wire Robust Control Laws for Flexible Civil Transport Aircraft : Structured H-Infinity Synthesis

New generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire controller. This requires control law design that take into account the flexible dynamics. Robust control techniques have been investigated over the past 20 years for this purpose. They result in highly complex black box dynamical controller with a large number of states. It requires strong efforts to simplify the controller. This causes major challenges for industrial application and certification. Consequently, Canadian civil transport aircraft industry remained unconvinced that robust controller synthesis technique can lead to efficient and certifiable control law. However, most of industry concerns seem to be alleviated by the recent progresses at theoretical and tool levels. This project investigates if the new method can truly result in a certifiable control law for flexible civil transport aircraft by applying it to the tuning of certifiable control law considering a real flexible aircraft model.

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Faculty Supervisor:

Student:

Partner:

Bombardier Inc.

Discipline:

Engineering - computer / electrical

Sector:

Aerospace and defense

University:

École Polytechnique de Montréal

Program:

Accelerate

Phased array inspection of large size forged steel blocks

The objective of this project is to integrate ultrasonic imaging into nondestructive inspection process performed in industrial settings on large size steel blocks. Indeed, Fink Steel is specialised in manufacturing large size forged steel and need to warrant the quality of each part before shipping using ultrasounds. This imaging method based on the same principle as echography is commonly used for numerous industrial applications. However, the large dimensions involved in this project require new transducer design. Based on his previous material studies and simulations, the intern will validate his work by performing measurements on calibration blocks and actual blocks with the final designed phased array transducer. These results will be exploited in order to confirm the imaging probe capabilities and implement a defect database.

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Faculty Supervisor:

Student:

Partner:

Finkl Steel - Sorel

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Exploring the drivers of innovation diffusion for Ontario hazelnuts

Hazelnuts are a new crop being explored in Ontario by Ferrero Canada with the potential to reach significant acreage (10,000 hectares). Hazelnuts currently only occupy less than 300 acres in Ontario and this project will investigate how hazelnuts can transition from a niche product to achieve major adoption in Ontario’s farming community. Interviews will be conducted with farmers who have already planted hazelnuts and with those who have not planted hazelnuts to understand the factors influencing Ontario farmers’ adoption of this crop.  The data collected will be analyzed and used to produce a report providing recommendations for Ferrero Canada to improve and guide their efforts in promoting this crop.

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Faculty Supervisor:

Student:

Partner:

Ferrero Canada

Discipline:

Business

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Evaluating the performance of starch and flour ingredients using Rapid Visco Analyzer 4800 at high heating temperatures

In this project, the intern will have the opportunity to work in Perten Instruments Canada and Carbohydrate Chemistry and Utilization Laboratory at the University of Saskatchewan to use the latest model of one instrument (Rapid Visco Analyzer 4800; developed by Perten Instruments) to evaluate the functionality of starch and flour ingredients. The new instrument has the capability to heat starch/flour slurry up to 140°C, which is a significant improvement from previous models as they can only reach a heating temperature of 95°C. This unique feature will enable food ingredient and processing companies to evaluate the performance of starch and flour ingredients during high temperature food processing, such as in the manufacture of canned, extruded, and dairy products. The research will generate new knowledge that will be useful for the food industry to utilize this new instrument to better identify ingredients for the preparation of high-quality food products.

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Faculty Supervisor:

Student:

Partner:

Perten Instruments Canada

Discipline:

Food science

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Deep Hashing and Clustering for Deduplication

Identifying and removing duplicated records by leveraging state-of-the-art AI and machine learning techniques (deep neural networks) from co-op banks’ customer databases, such as the one within the partner organization, Desjardins, will help the banks pay out the appropriate share of dividends to their customers.

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Faculty Supervisor:

Student:

Partner:

Mouvement des caisses Desjardins

Discipline:

Library and museum studies

Sector:

Finance, insurance and business

University:

McGill University

Program:

Accelerate

Evaluating the Societal Effects of Participatory Processes

Over the past 5 years, Suncor Energy has invested in the Energy Futures Lab, the Engineering Change Lab, the Getting to Maybe social innovation program, the Suncor Energy Foundation Gathering, and most recently, the Turtle Island Institute. All of these initiatives are designed to transform whole systems in rapidly changing environments in partnership with diverse groups of partners, particularly Indigenous communities. As Suncor is itself deeply embedded in the changing energy environment, these investments hold the potential to transform the funding organization alongside the system. How can we assess if, and how, this transformation is taking place? How can we aggregate the impact of multiple parallel projects? The goal of this study is to answer these questions by capturing the effects of Suncor’s social innovation investments across a range of partners. 

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Faculty Supervisor:

Student:

Partner:

Suncor Energy Inc.

Discipline:

Environmental sciences

Sector:

Environmental industry

University:

University of British Columbia

Program:

Accelerate

Assessing habitat-dependent variation in distribution and abundance of aquatic Invertebrates in Alberta wetlands

This study examines the effect of human footprint and habitat characteristics on aquatic invertebrate abundance and distribution among wetlands across the province of Alberta. This study will contribute to ABMI’s work which aims to monitor species and their habitats to support decision-making about the protection and restoration of provincial biodiversity.
More specifically, the research will: 1) focus on differentiating the effects of different wetland types and different natural and human created habitats on the distribution of aquatic invertebrates; 2) incorporate the effect of spatial scale in assessing aquatic invertebrate diversity. The three main scales are water characteristics, habitats immediately around the water and catchment characteristics; and 3) addresses the relationships for each natural region, or for two broad areas i.e., forested area vs non-forested area i.e., prairie/parkland/dry mixed wood.

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Faculty Supervisor:

Jan Ciborowski

Student:

Martin Jeanmougin

Partner:

Alberta Biodiversity Monitoring Institute

Discipline:

Biology

Sector:

Natural resources

University:

Program:

Accelerate

Determination of Genomic Markers to Conduct Parentage, Differentiate Wood and Plains Bison Sub-species, and Measure Cattle Introgression in Canadian Bison

The Canadian bison industry is currently facing the issue of increasing production to meet increasing demand for bison products in a sustainable manner that improves the competitiveness and profitability of the industry. Bison retailers are currently being shorted product orders in excess of 25% on a regular basis, and demand for bison meat will only grow with the implementation of CETA and removal of the existing 20% tariff. This project will use whole genome sequence data to identify the genetic markers (SNPs, indels, variants) that will allow the Canadian bison industry to accurately and cost effectively verify parentage, differentiate wood and plains bison sub-species, and measure cattle introgression. TO BE CONT’D

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Faculty Supervisor:

Paul Stothard

Student:

Tianfu Yang

Partner:

Delta Genomics

Discipline:

Food science

Sector:

Forestry

University:

Program:

Accelerate

Atomic Layer Deposition Tool – Testing and Process Development – Year two

Currently, no Canadian-based companies are involved in the manufacturing of state-of-the-art research tools for atomic layer deposition (ALD). Angstrom Engineering is a leading manufacturer of similar technologies – physical vapour deposition and chemical vapour deposition – and have identified an opportunity to produce the first ALD research tool manufactured entirely in Canada. ALD is a vapour phase technique that offers sequential, self-limiting surface reactions to deposit thin films with exceptional control over thickness and composition, as well as conformality and uniformity. The demand for ALD is primarily driven by fast emerging sophisticated technological demonstrations in materials science and engineering, nanotechnology, microelectronics, displays, storage devices and bio-integrated electronics. The development of this cutting-edge manufacturing equipment will further advance the growth and opportunities in this field, especially in the uncapitalized emerging markets (i.e. Asia and Latin America). TO BE CONT’D

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Faculty Supervisor:

Sean Barry

Student:

Akhil Vohra

Partner:

Angstrom Engineering Inc.

Discipline:

Chemistry

Sector:

Nanotechnologies

University:

Program:

Elevate

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