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

Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers Year Two

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to analyze huge amounts of data. Using classical approaches to train machine learning algorithms for some classes of algorithms is either very slow, requiring a lot of computing resources, or inefficient. Quantum computers are promising candidates to deal with computationally difficult problems, which makes development and study of quantum algorithms inevitable. I propose two promising machine learning algorithms that can be developed by drawing on the expertise 1QB Information Technologies has in the development of such algorithms for adiabatic quantum computers, which will speed up the training process in the current version of adiabatic quantum computers, developed by D-Wave Systems Inc.

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Faculty Supervisor:

Mark Schmidt

Student:

Hamed Karimi

Partner:

1QB Information Technologies Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of British Columbia

Program:

Elevate

Création d’un modèle d’attribution des campagnes marketing en ligne

Il arrive fréquemment que les consommateurs visitent un site web plusieurs fois avant d’y effectuer une transaction et que ces visites sur le site soit générées par différentes sources (publicité, médias sociaux, favoris, courriel). Cette situation occasionne un sérieux dilemme, celui de l’attribution du crédit de la conversion (i.e., transaction sur un site).  Doit-on l’associer à la dernière source de visite ou bien a la première? 50%, 50%? La diviser équitablement sur toute
les sources de visites? Ou bien procéder à un forage de données afin de déterminer la contribution de chaque intervenant dans la réalisation de l’objectif prédéfinit notamment la création d’un compte, donner son c-çourriel, demander une soumission voire signer un contrat, ou acheter un produit. L’objectif du projet serait de répondre aux questions précédentes, avec des méthodes quantitatives et ainsi produire des modèles d’attribution représentant la réalité plutôt que d’utiliser les modèles de base tel que suggérés par Google Analytique. Les résultats attendus de ce projet est de créer des modèles qui décrivent le mieux l’attribution de conversion selon les types de campagne marketing, adaptés au contexte d’affaires de Desjardins Assurances Générales.

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Faculty Supervisor:

Marc Fredette

Student:

Badr Terrab

Partner:

Desjardins Groupe d'assurances générales

Discipline:

Business

Sector:

Finance, insurance and business

University:

HEC Montréal

Program:

Accelerate

Genomic and metabolomic approaches to improving new economically important traits in pigs

Consumers are increasingly interested in how their pork is raised especially in terms of welfare (the five freedoms) and the use of antibiotics (in relation to antimicrobial resistance). This project will focus on pig behavioural traits such as aggressiveness, tail biting and social interaction and seek to develop new tools to allow these traits to be included within selection programs.

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Faculty Supervisor:

Graham Plastow

Student:

Elda Dervishi

Partner:

Topigs Norsvin

Discipline:

Food science

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Amplifying the Developmental Impact of the Ernest C. Manning Youth Innovation Awards: An Evidence-Based Design for the First Canadian Youth Innovator Mentorship Network

By studying the key features of these top achieving youth innovators, we will gather evidence via research to learn more about what drives them, what supports they need and how mentors (anywhere) can be engaged well to support them. The result of the project will be an organization and process design for the development of the first (online) Canadian youth mentorship network aimed at connecting youth to important people, expertise, knowledge and institutions. There is too little research and support for our high-achieving young Canadian innovators. This project answers that need by extending from a rewards program into a youth development network, with cognisance that there is a network of Adult Innovation Award winners that could, with careful design, be further developed by the Foundation to mentor youth innovators.

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Faculty Supervisor:

Eugene Kowch

Student:

Hyacinth Schaeffer

Partner:

Ernest C. Manning Awards Foundation

Discipline:

Education

Sector:

Management of companies and enterprises

University:

University of Calgary

Program:

Accelerate

Stabilization of Gravel Roads

Unpaved gravel roads throughout rural and northern Manitoba and across Canada are made from poorly bound aggregate materials. Consequently they quickly deteriorate to loose, rough and dangerous road conditions. They generate choking and noxious dust clouds when dry, and quickly lose strength and degrade to mucky and rutted conditions when wet. The goal of this project is to provide a low cost and sustainable solution by mixing the aggregate with high amounts of reactive clays and environmentally safe organic catalysts. This turns the clays into a cement-like binding agent that results in high-density packing and strongly bonded road surfaces that require little maintenance. The process will eliminate noxious dust clouds and the need for toxic road stabilizers like the chloride salts currently in use. Roads built with this process can be constructed from low cost locally derived materials, using standard road equipment.

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Faculty Supervisor:

Hamid Mumin

Student:

Riley Cram

Partner:

Cypher Environmental Ltd

Discipline:

Geography / Geology / Earth science

Sector:

Alternative energy

University:

Brandon University

Program:

Accelerate

Minimum Velocity, Pressure-Balanced Flow Control in a Multi-Primary System

Modern air seeders in their simplest form involve an air supply system that receives granular product (seed and fertilizer) from a large holding tank, propels the product through several distribution lines, and delivers the product to the soil. Currently the conveying air runs faster than is usually required to reduce the risk of plugging. However, this results in wasted power in the air supply system, and also wasted inputs through either damage or misplacement. Better control of the air supply would reduce waste and increase yields. This project involves continuously monitoring the overall air seeding system, and making automatic, predictive changes to the system as needed. The system will demonstrate the benefits of controlling the distribution line pressure to make pressure equal from line to line, while also ensuring minimal power consumption in the air supply system. The technologies developed through this research will reduce risks for producers, reduce the energy consumed, and reduce the yield losses associated with the air seeder failing to properly deliver seeds to the ground.

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Faculty Supervisor:

Scott Noble

Student:

George Dodds

Partner:

CNH Canada. Ltd.

Discipline:

Engineering - mechanical

Sector:

Construction and infrastructure

University:

University of Saskatchewan

Program:

Accelerate

Photonic sensors for rapid and selective detection of bacteria in water – Year two

In recent years monitoring and protection of food and water resources became a priority of governments worldwide. Bio-hazards are potential threat for these resources thus need to be addressed both in industry and in academia. Therefore, developing an accurate, fast and cost effective technique for detection of pathogenic strains called for increased demand on the areas targeted by the fiber-optic systems. In this project we will focus on detecting trace amount of hazardous bacteria in an aqueous environment by developing a novel fiber-optic biosensor system consisting of a bio-receptor overlay (e.g. bacteriophage) to bring the selectivity to the sensor. The optical properties of the signal carried by fiber-optic will be monitored to detect the bacteria and bio-receptor binding. This project can benefit in building a biosensor system as a complementary of the protection systems that are designed and provided by our partner company.

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Faculty Supervisor:

Wojtek Bock

Student:

Yasser Chiniforooshan

Partner:

Security Protection International

Discipline:

Computer science

Sector:

Environmental industry

University:

Program:

Elevate

Structural design of aerospace composites with Hybrid Fibre Architectures

Continuous fibre (CF) aerospace preforms exhibiting excellent mechanical performance possess low formability characteristics and are confined to simple shell-like geometries with minimal curvatures. On the other hand, short fibre preforms such as randomly oriented strands (ROS) offer high formability but exhibit low mechanical performance. The manufacturing of composites involves time and huge costs. The overall research objective is to explore a tradeoff solution that integrates the formability of ROS and performance of CF by hybridizing fibre architectures while using a low cost manufacturing technique. Compression molding (CM) is a low cost manufacturing method and thermoplastics are ideal matrix systems that complement CM. Specific research objectives include determining the rules of hybridization to produce synergistic relations, experimental evaluation and numerical prediction of stiffness and strength of hybrids fabricated with CM. Expected results include a better understanding of the effects of hybridization on design performance through experiments and numerical models, and design and processing guidelines for the use of hybrids. The research would allow the manufacturing of complex shapes with composites while meeting the design performance. Further, the use of thermoplastics with CM would reduce the manufacturing time/cost and allow for the recycling of composites.

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Faculty Supervisor:

Pascal Hubert

Student:

Swaroop Bylahally Visweswaraiah

Partner:

Bell Helicopter Textron Canada Ltd.

Discipline:

Engineering - mechanical

Sector:

Advanced manufacturing

University:

McGill University

Program:

Accelerate

A study on the reliability of quantitative measures of the visual system and their correlation with change in concussion-associated symptoms

This project will determine if abnormal behavior of the visual system correlates with symptoms in patients with concussions. Our first step will be to ensure that we obtain the same values for each of 7 tests when we measure a healthy person twice within a short period of time (called reliability). Next, we will see the how changes in the seven different measures of the visual system over time correlate with changes in patients’ post-concussion symptoms over time. These are the first steps in a program that will eventually also determine how well results on the visual system tests predict quick or slow recovery, and whether they can be used to help guide treatment decisions.

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Faculty Supervisor:

Ian Shrier

Student:

Marc-Henri Asmar

Partner:

Discipline:

Medicine

Sector:

Medical devices

University:

McGill University

Program:

Accelerate

A study of the hydrogeotechnical behavior of in-pit tailings and their interaction with the contact structures

Wastes produced by mines include tailings and waste rock. Tailings are crushed rock produced by mineral extraction and are typically disposed as slurry. Waste rock is coarse material excavated to create mine openings that have no economic value. These wastes are often stored on the surface in tailings impoundments or waste rock piles and they pose important environmental and geotechnical risks. Backfilling the openings of underground mines with treated wastes has become a common practice. The disposal of wastes in open pits is less common, yet is a promising approach for integrated mine wastes management. Very little research has been conducted on the behavior of tailings disposed of “in-pit” and on their interaction with contact structures. In-pit disposal of mine wastes is underway at the partner’s site, Doyon-Westwood Mine. This is an opportunity to study important aspects of in-pit disposal that will lead to improvements in the method and an understanding of its effects on the environment. For example, waste rock could be placed in the pits as inclusions that would improve drainage and stability. Where the pit lays above underground mine openings the effects of in-pit disposal on the stability of these openings should also be evaluated.

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Faculty Supervisor:

Li Li

Student:

Pengyu Yang

Partner:

IAMGOLD Corporation

Discipline:

Engineering - civil

Sector:

Mining and quarrying

University:

Program:

Elevate

NOWCASTING: Enhancing wind power forecasts using live observational data

The intern will develop and evaluate new algorithms to improve the accuracy of short-term wind power forecast. The algorithm will be fed with near real-time data (wind speed, wind direction, air temperature, power production, turbine availability) from wind farms in order to improve the forecast over the next 24h. Once the best algorithm has been selected, the intern will then apply this new algorithm directly into WPred’s IT infrastructure and will train WPred’s scientific staff to use the algorithm. With this project, WPred will position itself as a leader in short-term wind power forecast in Canada and on the international stage, allowing its clients (wind farms, grid operators, maintenance groups) to better optimize their respective operations and increase the profitability of the wind power industry.

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Faculty Supervisor:

Roland Malhame

Student:

Olivia Beauregard-Harvey

Partner:

Wpred

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

Program:

Accelerate

Acoustically derived indicators of demersal and forage species productivity in the Strait of Georgia, and their link to the survival of juvenile salmon – Year two

With a rich acoustic dataset available in the Strait of Georgia (SoG), we propose this research to develop a series of acoustic indicators of productivity for forage (e.g. Pacific herring, mesopelagic fish, euphausiids, zooplankton and ichthyoplankton) and semi-demersal (e.g. Pacific hake and walleye pollock) species within the SoG by using robust multi-frequency techniques. Along with existing time-series of forage species catch from trawl surveys, the acoustic indicators of productivity will be investigated for potential links to marine survival of juvenile salmon in the SoG. Data and results from this study will be closely integrated with other projects sponsored by the Pacific Salmon Foundation that focus on juvenile salmon survival in the same area, serving the ultimate purpose of increasing our understanding of factors controlling the production of juvenile salmon and restoring economic benefits of Pacific salmon to local communities.

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Faculty Supervisor:

John Dower

Student:

Lu Guan

Partner:

Pacific Salmon Foundation

Discipline:

Oceanography

Sector:

Fisheries and wildlife

University:

University of Victoria

Program:

Elevate

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