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

Improvements for automatic pushback generation

The project aims to improve recently developed algorithms by our research team for the automatic definition of pushbacks in open pit mining that meet complex geometric constraints. Three specific objectives are pursued: a) include an approximate sequencing of blocks within a phase to enable a better discounting of the block values; b) enable to include varying geometric slope constraints according to the direction considered and c) provide, when possible, pushbacks formed of a single continuous ensemble of blocks. The project should provide an evolved prototype which performance will be compared to the current commercial product of the partner-company (CAE-mining). The company will then be able to integrate this new tool into its own commercial software.

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Faculty Supervisor:

Denis Marcotte

Student:

Xiaoyu Bai

Partner:

CAE Inc.

Discipline:

Engineering - civil

Sector:

Aerospace and defense

University:

Program:

Accelerate

Development and testing of crops demonstrating improved biomass hydrolysis for biofuel production

Biobased products, mostly derived from plant biomass, have the potential to improve the sustainability of Canada’s natural resources and environmental quality while competing economically. Plant biomass, composed primarily of cell walls and modification of cell wall properties has the potential to improve biomass conversion to biobased products such as biofuels. Progress towards achieving this goal is currently impeded by a lack of knowledge of how cell walls are assembled and how their structure affects the processing of biomass. The scope of the proposed research is to identify new varieties of crops (rice, wheat, corn and switchgrass) having improved plant biomass properties. These will be identified using a multipronged approach that utilizes state of the art plant molecular biology techniques and a novel screening method.

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Faculty Supervisor:

Marcus Samuel

Student:

Huasong (Waltsen) Xu

Partner:

Frontier Agri-Science Inc.

Discipline:

Biochemistry / Molecular biology

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Vehicle Model Emission Factor Enhancements

Vehicle emissions make up a significant amount of air pollution in urban environments. Planners and engineers use numerical models to estimate and predict how much pollution is generated from cars, however these models typically rely on the assumption that all traffic flows smoothly and without interruptions. Real lifedriving varies greatly based on time of day, proximity to different land uses, how different drivers operate their vehicles, and the type of traffic controls in place. This project will prepare factors to improve the accuracy of vehicle emission models based on road features and how drivers operate their vehicles. The same data will also be used to evaluate how traffic conditions impact regional air quality by comparing historical satellite data with traffic volume and congestion.

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Faculty Supervisor:

Bahram Gharabaghi

Student:

Brian Freeman

Partner:

Lakes Environmental Software

Discipline:

Engineering

Sector:

Environmental industry

University:

University of Guelph

Program:

Accelerate

Employer Demand-Driven Training (EDDT) Programs for Youth Employment

The proposed research project will research and evaluate the impact of Employer Demand-Driven Training (EDDT) programs undertaken in 5 pilot sites in Ontario. As a strategy, ‘demand-driven’ means putting businesses at the centre of workforce training development and using their workforce needs and challenges as the starting point to design effective programs. In this way, training is directly relevant to market demand. The intern will be involved in the assessment of the extent to which EDDT programs are effective and will implement the knowledge acquired from a systematic research methodology and timeline to understand the value proposition EDDT programs offer the current and next generations of youth and employers, who in conjunction define the future of the Canadian employment landscape. This project will benefit First Work as it will contribute to the organization’s institutional capacity to provide relevant and impactful programs to their stakeholders in Ontario which can serve as a model for further phases of EDDT programs and for training centres in other provinces.

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Faculty Supervisor:

Wendy Cukier

Student:

Ken Dunning

Partner:

Ontario Association of Youth Employment Centres

Discipline:

Political science

Sector:

Management of companies and enterprises

University:

Ryerson University

Program:

Accelerate

Organic sorbent and nanotechnology-assisted bioremediation of industrial effluents

Highly toxic organic and inorganic chemicals result from various industrial operations have been identified in surface and ground waters in very small concentrations, making their removal difficult. In partnership with Lorax Systems Inc., the objective of this research is to
develop a novel, biologically-based material for the treatment of industrially relevant wastewater streams, exploring not only the water treatment aspects but also the post-processing of the biomaterial for recycling within other processes. The outcome of this research will be the commercialization of an advanced water purification technology by Lorax Systems Inc. For the intern, this research will provide technical and analytical resources that would otherwise be unavailable, fostering the completion of a PhD, and a career in biomaterial science and water treatment systems.

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Faculty Supervisor:

Adam Donaldson

Student:

Aaron Outhwaite

Partner:

Lorax Systems Inc.

Discipline:

Engineering

Sector:

Oil and gas

University:

Dalhousie University

Program:

Accelerate

Active ingredients and key antioxidants in natural skincare products

Intern will be determining active ingredients in Iceberg mist which is a toner based on iceberg water. Several tests will be conducted to determine the antioxidant potential of this product. The partner organization will be able to make a claim on the product using the information based on this project which will help in marketing and sales. Intern will also study antioxidant enzyme activities as well as antioxidant metabolites in other botanical samples including some specific berries and their leaves. Chaga and Birch sap will also be studied for their antioxidant potential. This study will help the partner organization to develop new products based in the results of the project. Overall, the partner organization will be able to improve existing products, develop new product and market their products based on the information obtained from this project.

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Faculty Supervisor:

Andrei Igamberdiev

Student:

Poorva Vyas

Partner:

I.C. Spa Products Inc.

Discipline:

Biology

Sector:

Consumer goods

University:

Memorial University of Newfoundland

Program:

Accelerate

Incorporation of Algonquin Traditional Ecological Values into Sustainable Forest Management for Ecosystem Service Benefits

Throughout Canada, modern forestry practices have introduced rapid changes in Aboriginal livelihoods and natural ecosystems. This proposal is an effort to conserve and promote Algonquin traditional ecological values (TEV) within modern forest management practices with the objective of initiating new ‘social contracts’ and economies in co-existence. The research takes place in the context of recent sustainable forest development and climate change legislation in the Province of Quebec. My objective is to include TEV in future annual allowable cut calculations to help reverse the tide of Algonquin cultural loss within Quebec forests. Results will see Anishnabek Outfitting Inc. map and monitor high TEV forest areas so that they can be incorporated into forest conservation zones that help to retain cultural, eco-system service, and climate change benefits. The work supports evolving environmental, economic, climate, and social objectives of forest management, Forest Stewardship Certification (FSC), and Aboriginal rights.

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Faculty Supervisor:

Jay Malcolm

Student:

Rosanne Van Schie

Partner:

Anishnabek Outfitting

Discipline:

Forestry

Sector:

Sports and recreation

University:

University of Toronto

Program:

Accelerate

Leveraging unlabelled, off-task data to improve ASR for low-resource languages based on the transferability of acoustic features learned by deep neural networks

Deep neural networks (DNNs) for automatic speech recognition (ASR) require large amounts of labelled data, which can be difficult and expensive to collect. However, recent research has shown that some features learned by DNNs are highly transferable to other tasks and datasets. Here we propose to design a multi-lingual training procedure to leverage large amounts of off-task data based on the transferability of acoustic features learned by DNNs. Our primary goal is to improve ASR for low-resource languages. Several networks will be trained on different languages and the transferability of learned features will be assessed by substituting layers across networks. Our training procedure will reserve the limited labelled data primarily for learning the features that cannot be learned from other datasets. This project will contribute to the intern’s ongoing PhD work on the nature of auditory representations for natural sound and improve Nuance’s existing ASR systems.

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Faculty Supervisor:

Yoshua Bengio

Student:

Jessica Thompson

Partner:

Nuance Communications Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Apelinergic system as a promising target for myocardialdysfunction and shock

Cardiovascular disease and sepsis are two of the biggest public health problems in North America. Increasing evidence further suggests they are linked. Recent studies in human healthy volunteers and in chronic heart failure patients have highlighted the apelin system as a potential target for drug development. We therefore propose to fully validate pre-clinically the potential of apelin as a new target for cardiovascular disease and septic shock. By participating in cutting-edge research, the partner organization will gain further competitive advantage in the cardiovascular pharmacology market, and the joint publications will also increase the visibility of the company.

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Faculty Supervisor:

Mannix Auger-Messier

Student:

Alexandre Murza

Partner:

IPS Therapeutique

Discipline:

Pharmacy / Pharmacology

Sector:

Pharmaceuticals

University:

Program:

Accelerate

Gait analysis and training in older adults using Microsoft Kinect.

Falling is a significant risk to older adults with approximately 30% of those over 65 years at risk of falling. Advances in portable motion sensor technology such as the Microsoft Kinect have recently been used to detect basic measures of human walking gait. The objective of this internship is to determine the gait measures acquired with the Kinect version 2 sensor which are the most characteristic of fallers and assist in the development of an interactive software for assessment and training of gait and balance in older adults. The overarching aim of this internship is to work collaboratively with Jintronix and the Motion and Mobility Rehabilitation Laboratory to develop a Kinect-based system that will provide balance and gait assessment as well as intervention modules all aimed at reducing the incidence of falls in the older adult population. This work will provide a platform for expansion into other clinical populations.

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Faculty Supervisor:

Marc Klimstra

Student:

Drew Commandeur

Partner:

Jintronix

Discipline:

Physics / Astronomy

Sector:

Medical devices

University:

University of Victoria

Program:

Accelerate

Congestion Prediction in Energy Networks Using Machine Learning

Energy networks are often very complex which results in highly unpredictable congestion patterns in the physical constraints of the network. Most efforts to model congestion in energy networks are made on toy problems. Here, the objective is to model and predict congestion in a real physical energy network using automated machine learning systems, in particular deep neural networks. Physical properties of the network will also be properly modelled. The proposed method is expected to predict congestion with higher accuracy than the existing methods used by the partner organization. The intern will learn how to apply his knowledge in deep neural networks to a real-world complex problem.

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Faculty Supervisor:

Sue Becker

Student:

Rory Finnegan

Partner:

Invenia Technical Computing

Discipline:

Psychology

Sector:

Information and communications technologies

University:

McMaster University

Program:

Accelerate

Assessing the impacts of fisheries, hydroelectric infrastructure, and temperature on Gates Creek sockeye salmon migration

The annual return of sockeye salmon to the Fraser River is a vital part of British Columbia’s environment, economy, and First Nations heritage. However, sockeye salmon can face numerous challenges during their migration including fisheries, warm water temperatures, and dams. Recent population declines in sockeye salmon have prompted concerns over the challenges salmon face during their migration and studies are needed to determine how the these challenges combine to affect salmon. In partnership with St’át’imc Eco Resources, interns from the University of British Columbia will study how one population of Fraser River sockeye salmon – Gates Creek sockeye – are affected by fisheries encounters in the lower Fraser River, warming water temperatures, and migration past hydroelectric dams on their home stream, the Seton River. Results of this project will inform fisheries management and dam operations to benefit salmon while providing economic benefits to the community served by St’át’imc Eco Resources.

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Faculty Supervisor:

Scott Hinch

Student:

Collin Middleton

Partner:

Discipline:

Forestry

Sector:

Natural resources

University:

University of British Columbia

Program:

Accelerate

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