Innovative Projects Realized

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

29670 Completed Projects

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

Projects by Category

Genetic variation in 9p21, dietary patterns and cardiovascular disease risk

Cardiovascular disease is a leading cause of death in Canadians and expected to claim nearly 65 000 lives in 2015. Approximately 75% of these deaths are preventable by having a healthier lifestyle, including a better diet. Another risk factor is having a family history of heart
disease, mainly because of inherited genetic risk factors. A healthy diet is twice as effective to reduce heart disease in people with high-risk genes. The aim of this project is to find the best diet to reduce risk of heart disease in people with high-risk genes compared to others.
The partner organization, Nutrigenomix Inc., is a genetic testing company specialized in developing test kits for personalized nutrition. The company will benefit from this research by commercializing a genetic test panel specifically for cardiovascular disease risk. This test will
allow healthcare providers to offer customized diets based on their clients’ genetic risk of cardiovascular disease.

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Faculty Supervisor:

David Jenkins

Student:

Partner:

Nutrigenomix Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Développement et caractérisation de photosensibilisateurs à base de complexes de ruthénium cyclométalés par des dérivés dipyrrométhènes.

Dans un contexte où l’approvisionnement énergétique mondial du 21e siècle est un enjeu majeur, le développement de sources d’énergie renouvelables suscite l’attention croissante de la communauté scientifique et industrielle. Ce stage Accélération au sein de l’entreprise Saint-Jean Photochimie Inc. visera le développement de nouveaux photosensibilisateurs à base de dérivés dipyrrométhènes cyclométalés sur des complexes de ruthénium utilisables dans les cellules solaires à pigments photosensibles. Il s’agit d’une technologie émergente dans le domaine du photovoltaïque se démarquant par son potentiel de production industrielle à faible coût sur de larges substrats flexibles et légers. L’intégration de ces cellules solaires peut se faire dans des applications tant architecturales que mobiles. Le but du projet visera à diminuer les coûts de production industrielle en s’éloignant des dérivés porphyrines dispendieux actuellement utilisés tout en améliorant l’efficacité de conversion de l’énergie solaire en électricité. Une approche rationnelle combinant la modélisation moléculaire des
photosensibilisateurs et l’étude de la relation structure-propriété est proposée afin de permettre à la compagnie de garnir son portfolio de molécules propriétaires et lui donner un avantage concurrentiel.

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Faculty Supervisor:

Garry Shawn Hanan

Student:

Partner:

Saint-Jean Photochimie Inc

Discipline:

Physics

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Improved method of donor kidney storage at subzero temperatures

Currently, storage of donor kidneys at low temperatures is limited to 24 hours. If the storage time of donor kidneys could be extended, this would allow more opportunity to identify and prepare suitable recipients for this life-saving procedure. Our improved method of kidney storage at subzero temperatures will also allow patients at more remote locations to benefit. Our novel kidney storage solution is expected to reduce damage to donor organs and thus decrease post-transplantation damage.

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Faculty Supervisor:

Michael Adams

Student:

Partner:

Cryostasis Ltd

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Queen's University

Program:

Accelerate

Deep Learning for Action Recognition, Localization and Parsing

The goal of this project is to develop algorithms that allow machines to understand and describe actions in video. For example, we would like computers to be able to classify videos according to the actions taking place inside them , and annotate the videos according to where and when the actions take place. To tackle this problem, the student will pursue a strategy of designing and training a deep neural network, loosely inspired by the neural networks in the human brain. Deep neural networks already outperform humans on certain aspects of image understanding; the current project aims to extend this success to the domain of video understanding. Apart from the inherent scientific
interest this problem, addressing it will serve a variety of important real world applications, such as video retrieval, security and surveillance, and human-computer interaction. The work from this project will be submitted to a top-tier computer vision conference.

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Faculty Supervisor:

Kosta Derpanis

Student:

Partner:

Inria Saclay - Île-de-France Research Centre

Discipline:

Computer science

Sector:

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Asynchronous vs. Synchronous Rumor Spreading

Our intended research will be focused on rumor spreading protocols, also known as randomized broadcasting. In the randomized rumor spreading problem, the goal is to broadcast a message that is initiated at one node to all nodes in a given network, by means of nodes choosing uniformly at random a neighbor and exchanging the message with that neighbor. We can assume two models for these algorithms: a synchronous model in which nodes communicate in synchronized steps (in parallel), and an asynchronous model in which each node has an independent clock that it uses for communication. Most of the current literature focused on the synchronous model. We want to compare the performance of protocols known for these two models to see if the results that hold for the synchronous model also hold for the asynchronous model.

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Faculty Supervisor:

Philipp Woelfel

Student:

Partner:

Inria Rennes - Bretagne Atlantique Research Centre

Discipline:

Computer science

Sector:

University:

University of Calgary

Program:

Globalink Research Award

Development of High-Performance Energy-Efficient Hybrid Door Systems for the Canadian North

Reduction of energy consumption in every aspect of our daily life is considered to be the primary key to address the causes of global warming and resulting climate change. Buildings consume up to 40% of our total national energy requirement and thus increased energy efficiency of the built environment would certainly help mitigating the causes of climate change. Recent upgrades in National Energy Code for Buildings have recommended significantly higher energy efficiency and thus resulted in increasing the insulating values of walls, roofs, windows and attics. However, for many decades the energy efficiency or insulating value of the basic exterior door has been overlooked for various practical reasons such as thickness limitation, difficulties to resist airflow, etc. As a result a huge market demand has been created for high-performance energy-efficient doors. The proposed research project aims to integrate various state-of-the-art insulating materials and technologies in exterior door construction and develop high-performance energy-efficient door systems that are specifically suitable for northern Canada.

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Faculty Supervisor:

Phalguni Mukhopadhyaya

Student:

Partner:

Rab Energy Group Inc

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Victoria

Program:

Accelerate

Simulation of a Liquefied Natural Gas (LNG) processusing HYSYS

Including an abundant supply of natural gas, British Columbia will become a leading contender for liquefied natural gas (LNG) growth and export, which can support economic activity in the province for over 150 years. Simulation of LNG plants is critical since the investigation and review of critical plant design elements will significantly improve plant performance and the safety and reliability of plant operations. Furthermore, design changes can be implemented at a low cost providing significant savings during a plant’s lifetime. In addition, process simulator is required to understand actual plant transients and dynamics, to examine and verify control schemes, and to review plant procedures, to examine process upsets, including process startups and shutdowns. In this research project, the intern is focused on simulation of the BC LNG plant executed by Amec Foster Wheeler Company to provide a sustainable solution during Front End Engineering Design (FEED) of a LNG project, which respects environmental limits while fulfilling social and economical needs.

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Faculty Supervisor:

Ezra Kwok

Student:

Partner:

Amec Foster Wheeler

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

The University of British Columbia

Program:

Accelerate

Design of a self-adapting project management application

To be more competitive in the market, many companies are trying to speed up the quotation process and quote more attractive prices and have identified a need for support in the quotation process in order to reduce the quotation lead-time and ensure a higher level of accuracy in the cost estimations. In the case of CIENA, a first investment has been made for an automated price quotation system with respect to the equipment/products that are sold by the company (currently under development). However, CIENA would be interested in including the price quotation for customer projects as well, and this is a far more challenging enterprise as it not only includes equipment/products, but services (e.g., circuit, node or ring updating or replacement) and highly specialized manpower. In addition, the execution of the services depends on the quality of the customer network and the experience or expertise of its technical support or type of equipment. The objective of the research project is to design and develop a web-based quote management application in order to automate the quoting process for CIENA internal and external sales or technical engineer personnel.

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Faculty Supervisor:

Brigitte Jaumard

Student:

Partner:

Ciena Corporation (St-Laurent, QC)

Discipline:

Engineering

Sector:

Information and Communications Technology

University:

Concordia University

Program:

Accelerate

PACTA: Automated text mining and analysis of business contracts

PACTA is a cutting edge SaaS contract management and analysis product designed for SMBs that proactively manages and tracks business contracts and obligations, thereby minimizing business risk and saving up to 9% of the bottom line. The objective for the full-time 8-month internship, in partnership with Dr. Lingras at SMU and Mitacs is to identify and implement automated text mining technologies and processes as well as analysis and testing tools into a business critical environment. The intern will gain first-hand experience working in an entrepreneurial environment and play a key part in product development, analysis and commercial application of cutting edge research.

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

PACTA Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Saint Mary's University

Program:

Accelerate

Nonlinear Frequency Response Analysis for Fuel Cell Diagnostics

In order to enhance the capabilities of fuel cell test stations, a new tool for fuel cell diagnostics based on nonlinear frequency response analysis (NFRA) will be developed. NFRA applies a perturbation of the operating current and measures the voltage response of the cell. By varying the frequency of the perturbation, processes with different dynamics (i.e. fast or slow processes) are excited and can be probed individually. From this frequency response, the state of the cell can be determined. Of foremost interest in this project is the reactant transport in the catalyst layer, which limits the performance of the cell at high currents. The reactant transport can be hindered by product water that accumulates in the catalyst and gas diffusion layer. Our aim is to find out whether NFRA can be used to distinguish and quantify the transport losses in those layers. This would enable a targeted development of these important fuel cell components.

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Faculty Supervisor:

Michael Eikerling

Student:

Partner:

Greenlight Innovation

Discipline:

Physics

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Strategic asset allocation from a Canadian investment perspective

The project – Strategic Asset Allocation from a Canadian Investment Perspective – will focus on the efficient allocation design for a Canadian investor. This will be achieved throughforecasting of long-term (5-10 years) expected returns of Canadian fixed income and equities, as well as US and global equities. The forecasts mostly rely on economic/fundamental analysis such as the projections of inflation, GDP growth, dividend yield, etc. There is extensive literature discussing whether the method of simple long term historical average can beat more sophisticated methods such as regression, building block and sum of parts. Empirical evidence will be collected and compared by the intern to study which method is more effective in terms of efficient asset allocation from the perspective of a Canadian investor. The research will enhance the asset allocation process at Highstreet Asset Management, the partner, and benefit their clients. Furthermore, this research can contribute to the overall understanding of Canadian capital markets and how differently they may behave in the future from the past, especially with regard to the potential impacts of global economic factors.

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Faculty Supervisor:

Lars Stentoft

Student:

Partner:

Highstreet Asset Management

Discipline:

Sociology

Sector:

Finance and Insurance

University:

Western University

Program:

Accelerate

Étude De La Composition De La Personnalité Des Équipes Et Des Processus Favorisant L’efficacité Des Équipes De Direction

Cette recherche contribue à l’avancement des connaissances théoriques et pratiques sur les profils de personnalités, les processus des équipes de direction ainsi que sur l’efficacité et la performance des équipes de direction. Pour ce faire, le Système d’évaluation Pathfinder sera utilisé dans le but d’extraire les profils comportementaux des membres d’une équipe de direction. Le recours au Système d’évaluation Pathfinder permet ainsi à Optimum Talent inc., de se démarquer de ses compétiteurs en adoptant une approche centrée sur les données intelligentes lors des interventions auprès des équipes de direction. Également, ce projet de recherche bonifie l’offre de service d’Optimum Talent inc. auprès des organisations clientes en préconisant une démarche empirique basée sur les plus récentes données théoriques recueillies auprès des équipes de direction.

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Faculty Supervisor:

André Savoie

Student:

Partner:

Optimum Talent Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

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