Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Computational and Experimental Evaluation of Leading-Edge Droops for Performance Enhancement of Wind Turbine Rotors

Wind power is becoming an important source of clean electricity. However, wind turbines operating at low wind conditions suffer from reduced efficiency and reduced electricity generation. Leading-edge droops are small extensions added to the front of the blade that can potentially improve the turbine efficiency under low wind speeds. The Mitacs project will investigate how aviation-inspired leading edge droops affect the aerodynamic characteristics of wind turbine blades. The research will use computer simulations to evaluate the effect of droops on the performance of various wind turbine families and to optimize the droop geometry for a selected family. The findings from the computer simulations will be compared to field measurements of droops added to a small-scale wind turbine.

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Faculty Supervisor:

Joshua Brinkerhoff

Student:

Partner:

Harrison Blade Solutions

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

New Catalysts and Chemical Processes for the Pharmaceutical Industry

Synthetic chemistry is used to assemble the small organic molecules that comprise many of the important consumer products used by society every day. Such fine chemicals are used to assemble drugs, agrochemicals, electronics, materials, dyes, etc.. Metal catalysts are part of the arsenal that the synthetic chemist uses to make such prized small molecules and Total Synthesis Ltd. (TSL), the sponsor of this research, is a globally recognized leader in catalyst invention and sales. The interns on this project will work in the company lab to develop methods to prepare palladium-based catalysts at various scales and to evaluate these catalysts in new chemical transformations being invented in the academic lab. TO BE CONT’D

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Faculty Supervisor:

Jeffrey Manthorpe

Student:

Partner:

Total Synthesis Ltd

Discipline:

Physics

Sector:

Manufacturing

University:

Carleton University

Program:

Accelerate

Revitalizing Indigenous traditional management of salmon – evaluating risk, opportunities and needs for re-emergence of traditional terminal fisheries

First Nations have fished for salmon in British Columbia for more than 10,000 years. Traditionally, many First Nations fisheries were conducted using weirs – fences constructed in the river – or stone fish traps, and these traditional technologies were used for thousands of years to manage and harvest salmon. However, with the arrival of commercial fishing in British Columbia, these traditional technologies were banned under the Fisheries Act, and salmon fishing is now primarily conducted in marine waters, targeting hundreds of co-migrating populations. With declines in abundance of many wild salmon stocks, conservation concerns for at-risk populations has led to reductions in fishing opportunity in First Nations subsistence, commercial, and sport fisheries. Our project will provide scientific analysis and data collection to support the Heiltsuk Nation as they work to rebuild a traditional terminal fishery for salmon in the Kunsoot River. TO BE CONT’D

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Faculty Supervisor:

Natalie Ban

Student:

Partner:

Qqs Projects Society;Pacific Salmon Foundation

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration); Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Development of biological models for Near Infrared measurements

Spinal cord injuries and other pathologies of the spinal column represent a large cause of disabilities or deaths and significantly affect the quality of life of the individuals affected. To reduce the risk of further injury during spinal surgery and to support diagnostic and treatment, there is a need for a non-invasive real time monitoring system which can assess the health of the spinal cord.
The objective of the research project is to monitor the functional state of the spinal cord by spectroscopy in the visible and near infrared, by utilizing a telecommunicating implant. Performing multiphysical modeling and analysis of the luminous flux passing through the spinal cord in altering configurations is desired. There is an interest in using near infrared (NIR) spectroscopy methods to detect fibrosis. TO BE CONT’D

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Faculty Supervisor:

Maud Gorbet

Student:

Partner:

Sorbonne Université

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology; Oil and Gas

University:

University of Waterloo

Program:

Globalink Research Award

Improving Receipt Classification Through Text Processing

10sheet is a third party software company aimed at providing easy bookkeeping to client companies. One of the steps in bookkeeping is classifying receipts based on their content. Without relying on a human bookkeeper, 10sheet uses a classification algorithm to build an automatic classifier for this purpose. However, such a classifier needs to have a high performance to be trusted with real world tasks. In this project, an investigation will be conducted of various methods of preprocessing the input text used in building the classifier and the classification algorithms to identify solutions and enhancements that have the potential to boost the current performance of the automatic classifier for receipts. Then the chosen methods out of the proposed ones for will be prototyped and evaluated for inclusion in, and advancement of, the company’s system.

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Faculty Supervisor:

Oliver Schulte

Student:

Partner:

10sheet Services Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Low Data Drug Discovery

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly when faced with a new drug-discovery or drug optimization objectives. The trained models will be used for the purposes of predicting molecular properties of new drugs and generating novel molecules with high likelihood of satisfying certain properties. The multi-objective nature of designing new molecules satisfying competing objectives will be approached using techniques from Reinforcement Learning.

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Faculty Supervisor:

Yoshua Bengio

Student:

Partner:

Valence Discovery Inc

Discipline:

Computer science

Sector:

Pharmaceuticals; Technology; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Accelerate

Palaeobiota of the mid-Cretaceous Burmese amber

Amber from Myanmar, or Burmese amber, is considered to be one of the most important deposits for studying mid-Cretaceous terrestrial biodiversity (99 million-years ago). Amber preserves specimens in three-dimensions with soft tissues, internal organs and integumentary structures. Vertebrate specimens in amber have proven valuable for studying various aspects of the anatomy, evolution and diversification of taxa. Specimens that are particularly small and delicate are usually not preserved in the fossil record, whereas amber frequently fossilizes such specimens. This project involves the study of Enantiornithes, a very successful and diverse lineage of small-bodied primitive birds, and lizards in Burmese amber. Detailed studies will involve photomicroscopy, scientific illustration, taxonomic and anatomical descriptions, systematic works (classification), and the utilization of imaging and chemical mapping techniques based on X-ray and fluorescence. The results will be published in peer-reviewed journals. If additional time is available, the project will include the study of insect specimens of major scientific interest, belonging to new species or higher-level taxa.

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Faculty Supervisor:

Christopher Somers;Ryan McKellar

Student:

Partner:

China University of Geosciences (Beijing)

Discipline:

Life Sciences

Sector:

Education

University:

University of Regina

Program:

Globalink Research Award

Optimizing Transfer Learning using Bidirectional Encoder Representations from Transformers

Natural language processing (NLP) is a branch of artificial intelligence that focuses on teaching computers how to analyze and understand human languages. The objective of this project is to develop advanced machine learning techniques to extract sentiment from text. We want to improve the current industry standards for sentiment analysis by leveraging the latest results from academic research. In particular, one of the techniques we will focus on is called Bidirectional Encoder Representations from Transformers (BERT). BERT is a technique that allows computers to learn more meaningful representation of language. By using techniques such as BERT, the company wants to teach computers how to better extract sentiment from text and use it to deliver superior service to customers.

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Faculty Supervisor:

Yoshua Bengio

Student:

Partner:

Keatext - DUPLICATE

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université de Montréal

Program:

Accelerate

Le parcours alimentation de la navette autonome de la Petite Bourgogne

Le quartier de la Petite Bourgogne, à Montréal, connait des problèmes d’insécurité alimentaire. Les habitants n’ont pas accès à des denrées alimentaires saines, abordables et en quantité suffisante à proximité de leur logement. Le quartier est considéré comme un désert alimentaire dans lequel les épiceries sont absentes ou à grande distance des résidences. Un accès difficile à l’alimentation entraine des conséquences avérées sur la santé physique et psychique des résidents. Le projet pilote du Quartier de l’Innovation consiste à mettre en place une navette autonome dans le quartier pour connecter les habitants aux commerces alimentaires sains et abordables. La recherche consiste à définir le « parcours alimentaire » de cette navette, puis d’en mesurer la pertinence auprès des usagers. La recherche permettra de poser les bases de diffusion de ce système novateur dans les déserts alimentaires procurant de l’insécurité à ses résidents.

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Faculty Supervisor:

Ugo Lachapelle

Student:

Partner:

Société du Quartier de l’innovation de Montréal

Discipline:

Sociology

Sector:

Administrative and support, waste management and remediation services

University:

Université du Québec à Montréal

Program:

Accelerate

Arctic-Nesting Bird Monitoring and the Impacts of Mining Disturbances

Agnico Eagle Mines Ltd. has proposed the Whale Tail Project, approximately 130km North of Baker Lake, NU. The project includes the construction a dyke within Whale Tail Lake that will divert water from the proposed mining pit into the surrounding lakes and tributaries, resulting in flooding that will elevate the water levels by 4 m above current levels over two years, causing approximately 157 ha of tundra to become flooded during the time of birds’ nest initiation. The Migratory Birds Convention Act (1994) prohibits the harm of migratory birds and the disturbance or destruction of nests and eggs. The research project intends to explore mitigation options for the proposed flooding during the construction of the Whale Tail Pit and to assess the degree of risk posed to migratory birds by mining-induced flooding during the nesting period. The study looks to determine the impact of mining-induced flooding on nest loss, success and dispersal of arctic-nesting birds, by outlining the timing and distribution of bird behaviour relative to the timing and distribution of the flooding. The study TO BE CON’T

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Faculty Supervisor:

Erica Nol

Student:

Partner:

Agnico-Eagle Mines (NU)

Discipline:

Life Sciences

Sector:

Mining

University:

Trent University

Program:

Accelerate

Modeling and Analysis of Multi-Constituent Systems with Long Range Interaction

Energy-driven pattern formation induced by competing short and long range interaction in multi-species systems is pervasive in the natural world. The phenomenon of self-organization during pattern formation is quite common, and encountered in a variety of fields, such as biological systems like animal coats and skin pigmentation, and physics. As an example, we cite the block copolymers, whose remarkable ability of self-assembling ordered structures at nanoscale can be exploited to create materials with desired mechanical, optical, electrical, ionic, and magnetic properties.This project investigates complex, and previously intractable, geometric structures in physical systems of three or more constituents, by computational and analytic approaches, in order to deepen and broaden research on inhibitory systems, which is currently limited to simpler structures and almost exclusively to binary systems. This project will solve important questions, such as navigating the energy landscape of ternary systems, predicting the phase diagram of quaternary systems and identifying parameters in multi-constituent systems. Geometric structures like Hopf links, double and triple bubbles, minimal surfaces, surfaces of constant mean curvature, and Willmore surfaces, have been studied by geometers and topologists for their intrinsic beauty, leading to the deep and diverse mathematical theories […]

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Faculty Supervisor:

Stanley Alama;Lia Bronsard

Student:

Partner:

Columbia University

Discipline:

Mathematics

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

Management, host pathogenicity, and rapid identification of Magnaporthe poae, causal agent of summer patch on annual bluegrass and Kentucky bluegrass turf

This project is designed to determine best management practices for a devastating disease of turfgrass that is currently controlled primarily by multiple fungicide applications. By assessing appropriate cultural practices aimed at reducing disease development it is our hope that we can reduce fungicide applications for this disease. In addition, the development of a rapid and simple diagnostic tool would greatly benefit turfgrass managers (our partner organization) and also allow for more timely fungicide applications, again reducing the overall amount of chemicals used in Ontario to reduce the effects of this disease.

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Faculty Supervisor:

Katerina Jordan

Student:

Partner:

Victoria Park East Golf Club

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation

University:

University of Guelph

Program:

Accelerate

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