Innovative Projects Realized

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

30156 Completed Projects

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Projects by Category

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

Development of a knowledgebase to enable streamlined analysis and interpretation of NGS data from pediatric leukemia cohorts

Twenty years ago, the first human genome was sequenced at a cost of 3 billion dollars. Today, this can be done in a day at a cost of approximately $1000. Despite this drastic reduction, the promise of personalized medicine, to customize therapy for each patient, has not yet been realized through next generation sequencing (NGS). While sequencing is becoming a commodity, the data analysis remains a significant challenge. Streamline Genomics addresses these challenges by providing clinicians with a powerful and user-friendly analysis platform. The goal of this project is to improve this platform to allow doctors to interact with a simple, intuitive, interface that leverages the wealth of cancer genomics information available, allowing them to rapidly access the most relevant results of their clinical genomic sequencing. TO BE CONT’D

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Faculty Supervisor:

François Dragon

Student:

Partner:

Streamline Genomics

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Étude pour éliminer des impuretés spécifiques dans les procédés de purification du te

Au moyen de procédés pyrométallurgiques, 5N Plus purifie des matériaux pour diverses applications électroniques. La présente recherche a pour but d’étudier la possibilité d’éliminer certaines impuretés venant des creusets, outils ou matières premières utilisés dans nos procédés de purification (distillation ou fusion zonale) ou nos procédés de mise en forme (creuset, lame de scie, tranche).
On recherche donc des matériaux de remplacement, des méthodes de purification ou des revêtements pouvant être intégrés dans nos procédés. Les départements ciblés produisent du Cd, Zn ou Te à une pureté au-delà du 99.999%. C’est-à-dire que l’on recherche à éliminer des niveaux de contaminants (notamment le Fe, Ni, Co, Cr, S, Cl, entre autres) à des niveaux aussi faibles que l’ordre du ppb atomique. TO BE CONT’D

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Faculty Supervisor:

Jean-Philippe Harvey

Student:

Partner:

5N Plus Inc

Discipline:

Engineering

Sector:

Manufacturing; Mining

University:

Polytechnique Montréal

Program:

Accelerate

Requirements for emulating inertia with voltage-source converters

The research in this proposal examines the growing concern of frequency swings in modern power systems. With the increasing penetration of generation from renewable resources, the share of conventional modes of generation will be diluted and as a result the system’s natural ability to maintain its frequency is diminished. Advanced converter systems may be able to help; however, their ability to do so is limited by several factors such as converter topology and device ratings, among other things. The objective of this research is to quantify these limitations using mathematical modeling and detailed computer simulations, and prepare for development of advanced mitigating solutions.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

TransGrid Solutions

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Prédiction de maladies génétiques à partir des forêts aléatoires et régressions logistiques

Le projet consistera a développer des modèles prédictifs utilisant les données de tests médicaux de patients. Quatre algorithmes en utilisant les méthodes de régression logistique et de forêt aléatoire seront utilisés prédire le diabète, l’hémoglobinopathies, le beta thalassémie, le niveau élevé de LDL-C. Les algorithmes permettront de classer divers résultats et d’en déduire un recommandation textuelle transmise au médecin. En cas de besoin, le patient sera encouragé à passer des tests médicaux supplémentaires pour valider l’hypothèse du modèle.
Le défi de recherche sera centré sur l’analyse exploratoire d’un vaste jeu données afin de sélectionner les variables explicatives pertinentes. De plus, les modèles proposés devront limiter les faux positifs afin de limiter des recommandations inutiles, tout en maximisant la sensitivité afin de justifier leur mise en production. Évidemment, ces outils pourront ultimement donner plus d’information au patient, sans pour autant augmenter leur nombre de tests.

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Faculty Supervisor:

Aurélie Labbe

Student:

Partner:

Biron Groupe Santé Inc

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

HEC Montréal

Program:

Accelerate

Development and application of molecular tools to assess the acute and chronic impacts of petroleum hydrocarbons on birds

The Northern Gateway Pipeline and similar projects propose to transport oil from Alberta to tidewater terminals in British Columbia and eastern Canada. Accidental release of petroleum distillates and related by-products would have consequences on the marine ecosystem. To evaluate spill implications for seabirds, we propose to develop and apply molecular tools to assess toxicological and health endpoints in selected seabird monitoring species, using a combination of laboratory and field research. This study will inform regulators about baseline molecular responses in seabirds to current levels of petroleum hydrocarbons in proposed shipping channels and to those anticipated in the unlikelihood of a spill. Results from this study will provide insight into the toxicology of oil in seabirds, will advance our ability to evaluate a change in the health of seabirds due to a spill and will enable our partner organization as they conduct risk assessments for proposed oil transportation.

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Faculty Supervisor:

John Edward Elliott

Student:

Partner:

Northern Gateway Pipelines

Discipline:

Life Sciences

Sector:

Mining

University:

Simon Fraser University

Program:

Accelerate

Defining and Improving Accuracy, Precision, and Minimum Detection Levels, of Truck-based Gas Leak Surveys

Canada has set a goal to reduce methane emissions in the upstream oil and gas sector by 45%. An updated regulation, proposed to implement on January 1st, 2020, will require triannual leak inspections of upstream infrastructure. Traditional leak inspection methods have a high cost per inspection and require unfeasible man-hours in the field. Alternative LDAR method Emissions Attribution via Computational Techniques (ExACT), is a currently accepted truck-based leak inspection technology that can inspect hundreds of pieces of infrastructure daily, over large areas. The objective of this research is to improve the accuracy, precision, and minimum detection levels of the ExACT leak inspection technology. Improving these metrics will solidify ExACT as a leading LDAR alternative and provide industry with a realistic LDAR tool to implement their emissions reduction plan. This research will combine existing real-world data, controlled experiments, and computational analysis to verify current ExACT parameters and develop opportunities within ExACT to improve product quality and efficiency. Improving the quality and efficiency of inspection technologies like ExACT will bring Canada closer to a feasible methane emissions reduction plan and allow industry to lead the way.

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Faculty Supervisor:

David Risk

Student:

Partner:

Altus Geomatics

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

St. Francis Xavier University

Program:

Accelerate

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