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

Adapting methods for assessing the impacts of innovation support programs for application to Canada’s clean energy innovation ecosystem

This research project is being undertaken in partnership with The Evidence Network Inc. It will extend the company’s scientifically-based method of assessing the impact of innovation support programs to the clean energy innovation sector. To keep this kind of assessment method scientifically sound requires customization for each particular industry. The established methods have been widely applied in the IT and medical fields, but not yet in the energy sector. When assessing success in a new sector, it is critical to account for differences in program goals, stakeholders, and the nature of the sector – as this project will do. As Canada increases it commitment to clean energy innovation, this project will help The Evidence Network extend its services to this sector and contribute to making our clean energy innovation support programs more effective.

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Faculty Supervisor:

Jatin Nathwani

Student:

Yonatan Strauch

Partner:

Evidence Network Inc

Discipline:

Environmental sciences

Sector:

Management of companies and enterprises

University:

University of Waterloo

Program:

Accelerate

Development and validation of a tool for the measurement of hearing aid sound quality

Hearing aids are now fully digital, advanced signal processors. Studies show that the sound quality of today’s hearing aids is important, and may impact how a hearing aid user enjoys music. Few tools are available for clinicians to measure hearing aid sound quality in daily practice. In this project, we will develop and implement a tool for this purpose.

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Faculty Supervisor:

Susan Scollie

Student:

Jonathan Vaisberg

Partner:

Audioscan

Discipline:

Medicine

Sector:

Medical devices

University:

Western University

Program:

Accelerate

Software Framework for Smart Building Energy Audits

With more and more buildings being controlled by automation systems, one would expect their energy performance to be optimised. This is not the case however. Buildings can still go out of tune, and building operators can become overwhelmed by the alarms sounding from the automation systems, not knowing how to prioritize them. SES consulting is well poised to provide a “human in the loop” performance analysis service, leveraging their expert knowledge and the data from the building automation system. For this project, SES plans to field-test the open source platform Volttron in a client building. On top of testing the core functionality of Volttron, the intern will build an analysis layer and a visualization layer to realize the infrastructure of the whole system. The partner will benefit by gaining an automatic data processing system, which will be used to decrease the energy consumption for commercial and institutional buildings. This project will help reduce our impact on the living environment.

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Faculty Supervisor:

Arrvindh Shriraman

Student:

Han Bao

Partner:

SES Consulting Inc

Discipline:

Computer science

Sector:

Digital media

University:

Simon Fraser University

Program:

Accelerate

Prediction of user intentions based on video captured interaction

User intention prediction of event data, collected during the business process, has become an important topic in Web Analysis and Business Intelligence. Commercial organizations have realized its importance for providing cost-effective opportunities to improve their decision-making in digital marketing strategies. We aim to develop and implement a statistical prediction model to make the prediction of user intention, using the retroactive video tracking data, while the anonymous customer navigates on the website.

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Faculty Supervisor:

Andrea Lodi

Student:

Farnoush Farhadi

Partner:

iPerceptions

Discipline:

Mathematics

Sector:

Digital media

University:

Program:

Accelerate

Modern tools for selecting disease-resistance traits in honey bees

Over the past six and a half years we have developed a way to measure disease resistance in honey bees using a molecular diagnostic approach, similar to the tests done every day in hospital laboratories. We have then used this method to selectively breed bees that are, indeed, more resistant to disease. This is akin to the selective breeding humans have practiced for millennia on all our agricultural crops and livestock, only using modern tools. It is not genetically modifying bees. Now that we have shown this works under controlled conditions, this project will work with BC-based bee breeders to implement this approach to selective breeding in their own operations. The result will be bees that are more naturally resistant to diseases and pests, including the varroa mite, the most important cause of bee die-offs world-wide. This will ultimately help to make beekeeping in BC and Canada more profitable, provide more bees for critical pollination activities and generally reduce the use of chemicals in the hive.

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Faculty Supervisor:

Leonard Foster

Student:

Elise Abi Khalil

Partner:

Canadian Honey Council

Discipline:

Biochemistry / Molecular biology

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

Rail Bulb Replacement

The scope of this project is to develop a modern Railway signaling system using LED technology to replace the old system employing incandescent bulb. We propose a novel design and control to avoid using low-lifetime components as the existing commercial systems. The current and voltage monitoring functionalities are added to detect exactly which LED that fault occurs, it helps to maintain system and easily adjust light intensity efficiently. As a result, the designed system will have high efficiency, high input electrical quality and high reliability to ensure continuous operation without disturbance. This research is a gold key for GE Lighting to remain the leader in their railway signaling market.

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Faculty Supervisor:

Handy Fortin Blanchette

Student:

Tung Ngoc Nguyen

Partner:

GE Lighting Solutions

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Program:

Accelerate

Mushroom Harvesting System

Automatic harvesting of mushroom produce is a promising opportunity for mushroom growers to increase their revenues. This increased revenue will be obtained through savings in human labour as well as the expected increase in yield and quality due to the consistency of automated solutions compared to manual ones. Automated harvesting solutions do already exist for many other crops such as apple, lime and tomatoes. However, the development of an automated harvesting solution for mushroom is much more challenging in which a commercial system still does not exist. The current project aims at developing an intelligent computer-based Decision Support System (DSS) that will make decisions on which mushroom to pick and when, based on vision data captured in real time. The partner organization would eventually benefit from this project by having a reliable Decision Support System for automated mushroom harvesting that will lead to a higher mushroom yield than what could be obtained by an average manual harvester.

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Faculty Supervisor:

Rozita Dara

Student:

David Wickland

Partner:

Vineland Research and Innovation Centre

Discipline:

Computer science

Sector:

Energy

University:

University of Guelph

Program:

Accelerate

NGS-based estimation of quality of selective pre-amplification of bacterial RRN operon using Phi29

Rapid identification of bacteria in blood is important for the early identification of infection and emergence of resistance to therapy. There is no wishful, fast and simple, technological solution for this quest. Some of infections are life-threatening and requires fast and focused drug treatment as soon as possible. The present approach is to use empirical therapy and wait for culture results (if positive) to modify treatment, i.e. to remove unaffected drugs and add/increase drugs which will attenuate identified pathogen. The sequence of bacterial 16S ribosomal RNA (rRNA) is strain specific and can be used for bacterial identification, thus, better guiding therapy. Current methods of sequencing are not sensitive enough to detect minimal amounts of bacterial 16S rRNA in samples containing an excess of human DNA. We developed a protocol to selectively amplify signals form any type of bacteria from blood and permit fast downstream molecular identification (using nucleic acid-based methods).

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Faculty Supervisor:

Alan Spatz

Student:

Jinchu Vijay

Partner:

eXDee Inc

Discipline:

Medicine

Sector:

Pharmaceuticals

University:

McGill University

Program:

Accelerate

Human Thermoregulation and Technical Apparel

Nature of the work: This project will assess a novel lululemon clothing ensembles during transitions between differing environments.
Anticipated Outcomes: An optimization of the design of clothing ensembles for transitions between different environments is the anticipated outcome.
Relevance: The project will provide garments for Canadians to improve their health, safety and comfort during outdoor activities. lululemon employs over 2700 people and the project will help start training new experts and to develop the best possible garments for active Canadians.
Benefits to Canada: Economic benefits to Canada include building of expertise in highly qualified personnel in the rapidly expanding technical apparel industry sector. Environmental benefits include that garments developed by lululemon are for human powered pursuits including bicycle commuting, walking, hiking etc that help reduce green-house gas emissions and global warming. Social benefits include providing improved garments to allow Canadians to stay active in aerobic activities in differing climates. Aerobic activities reduce risk of heart disease, Type II diabetes and stroke which are among the three leading causes of mortality in Canada.

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Faculty Supervisor:

Matthew White

Student:

Lauren Penko

Partner:

Lululemon Athletica

Discipline:

Kinesiology

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Multi-point shear-stress measurements on an impulsively started cylinder

Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio seeks experimental data to validate their unsteady separation codes. To this end, an intern in Dr. Joseph Hall’s Turbulence and Flow Noise Laboratory is proposing to provide unsteady shear-stress data on the surface of an accelerating cylinder

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Faculty Supervisor:

Joseph Hall

Student:

Jesse MacArthur

Partner:

Envenio Inc.

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

Formulation of Cationic Peptides by Hyperbranched Polyglycerols for the Treatment of Chronic Rhinosinusitis

Chronic rhinosinusitis is a common condition in which the cavities in the nasal channel become inflamed and swollen. This condition interferes with drainage and causes mucus to build up. Delivery of the positively charged proteins containing short chains locally to the nasal area can be used for the treatment of this problem. This proposal suggests synthesis and characterization of negatively charged polymeric systems with specific modifications to bind to these proteins and stabilize them. This study is followed by investigation of the capability of the polymeric carrier to bind to the proteins and quantification of the bound amount. It will further continue by biological assessment of the designed system on the disease condition.

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Faculty Supervisor:

Donald Brooks

Student:

Mahsa Alizadeh Noghani

Partner:

Centre for Drug Research and Development

Discipline:

Chemistry

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

CryoDrive: The effects that implementation of cryogenic engines would have on underground mining processes

Cryogenic engines, such as the Dearman engine, produce work and substantial cooling with zero emissions at the point of use, due to their liquid nitrogen ?fuel? supply. Background work has shown that technically, (power, turn down ratio, responsiveness, torque), there are few identifiable factors that would prevent this type of engine from being very effective if installed in underground mining vehicles. For the mines, one important logistical difference implied in a switch to cryogenic engines is that liquid nitrogen would need to be distributed underground, rather than diesel fuel; distribution systems supporting the mining process would have to change too. The intern will draw upon the mining expertise at MIRARCO and work with the Dearman Engine Company and Air Products Inc, to develop deeper understanding of the infrastructure required for large scale use of refrigerating cryogens underground and how the logistical arrangements may affect the safety and productivity of mining systems.

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Faculty Supervisor:

Dean Millar

Student:

Justin Sivret

Partner:

Mining Innovation, Rehabilitation and Applied Research

Discipline:

Engineering

Sector:

Mining and quarrying

University:

Laurentian University

Program:

Accelerate

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