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

Business Models in Emerging Digital Platform Markets

The small business sector plays a critical role in stimulating economic development. In the last two decades, the Internet of
Things (IoT) has attracted significant investments by diversifying entrant firms like Amazon and Netflix, and startups like Airbnb and Spotify to bundle resources, including generic technology and market assets from different markets, to design and deliver products/services over technology platforms (Brynjolfsson & McAfee, 2012). However, Canadian business owners are making very slow progress in adapting to such a digital platform ecosystem. According to Statistics Canada (2013), only 13% of Canadian businesses were selling online, while Canadian Internet Registration Authority (CIRA, 2015) Internet Factbook reported that over 40% of small businesses did not have a website presence. TO BE CONT’D

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Faculty Supervisor:

Pek-Hooi Soh

Student:

Partner:

Indian Institute of Technology Kharagpur

Discipline:

Business

Sector:

Education

University:

Simon Fraser University

Program:

Globalink Research Award

Motion fields with deep reinforcement learning for real-time character animation

Character motion in games and animations often have high requirements of realism, aesthetics, and interactivity. For instance, in soccer simulation games, users control the players to move in different directions and perform actions such as passing and shooting. Modern data-driven approaches like motion fields provide convenient ways to synthesizing natural motions from a given database of motion capture data. In this work, we look to improve motion fields by leveraging deep reinforcement learning. The benefit to the partner organization is the development of a new technology that can potentially improve the quality of their entertainment products as well as gaining expertise in these upcoming technologies.

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Faculty Supervisor:

Michiel van de Panne

Student:

Partner:

Electronic Arts Canada (Burnaby, BC)

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

Development of a new comprehensive simulation tool for helicopter design – The CORAL consortium

Designing a new helicopter is a very complex task that demands the collaboration of many disciplines of aerospace engineering. Nowadays, noise impact has also become crucial as restrictive environmental noise impact certification issues are being enforced by the certification authorities to the manufacturers. This project will be concerned with the integration of all these disciplines into a single computational simulation tool to predict a new helicopter performance. The project will be carried out in collaboration with international partners. A new consortium named CORAL (Comprehensive Rotorcraft Analyses Lab) was formed. CORAL will involve international partners in Germany, Italy, Greece and Canada under the coordination and financial support of Kopter Germany GmbH – the R&D responsible body of the Kopter Group based in Switzerland and an emerging helicopter manufacturer. TO BE CONT’D

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Faculty Supervisor:

Fred Nitzsche

Student:

Partner:

Kopter Germany GmbH

Discipline:

Engineering

Sector:

Manufacturing

University:

Carleton University

Program:

Accelerate

Enhanced Model Suitability Analysis in Catastrophe Modelling through an Improved Understanding of the Seismic Hazard in Western Canada

One of the most destructive natural disasters that Canada could experience is a major earthquake affecting a highly-populated area. A 2013 study commissioned by the Insurance Bureau of Canada estimated that a magnitude 9.0 earthquake in British Columbia, and a magnitude 7.1 earthquake in the Quebec City-Montreal-Ottawa corridor would result in financial losses of almost $75 billion and $61 billion, respectively. These earthquake impacts are estimated with catastrophe modelling software, which express mathematically the fundamental physical characteristics of catastrophic events, such as earthquakes. In order for catastrophe models to accurately estimate the impacts of earthquakes, accurate seismic hazard characterization is essential. A first step in adequate seismic hazard characterization is identifying all possible seismic sources in a region, and their corresponding seismic rates (i.e. the frequency with which earthquakes above a certain magnitude occur at each source). TO BE CONT’D

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Faculty Supervisor:

Carlos Molina Hutt

Student:

Partner:

Guy Carpenter & Company LLC

Discipline:

Engineering

Sector:

Finance and Insurance

University:

The University of British Columbia

Program:

Accelerate

Mathematical modelling of Reversible Solid Oxide Fuel Cells (RSOFCs) for the conversion of CO2 and H2O to syngas

SeeO2 energy and the Birss group (UCalgary) have developed world-leading catalysts for RSOFC systems with promising performance for the production of syngas and power from H2O/CO2 feeds. Today, the company is aiming to scale-up this technology and move towards commercialization by building larger cells, up to 5 x 5 cm2 (16 cm2 electrode area). However, the process of scaling-up RSOFCs presents many challenges in understanding the effects of fabrication and operation parameters on the cell performance at larger scale. Therefore, developing a mathematical model for the system presents an opportunity to understand and interpret complex results while supporting the development of pathways for optimization, design parameters and decreasing experimental work that generates significant delays and costs. This project aims to develop a mathematical model of the RSOFC system capable of predicting the cell performance under changing operation conditions and design parameters. TO BE CONT’D

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Faculty Supervisor:

Venkataraman Thangadurai;Viola Birss

Student:

Partner:

SeeO2 Energy

Discipline:

Engineering

Sector:

Energy and Utilities; Clean Technology; Natural Gas

University:

University of Calgary

Program:

Accelerate

Développement de nouvelles structures en béton avec fibres synthétiques de pneus usés armé de barres en matériaux composites de polymère renforcé de fibres (PRF)

Au cours de la dernière décennie, les barres en matériaux composites de polymère renforcé de fibres (PRF) ont été utilisées avec succès comme renforcement principal pour les structures en béton telles que les ponts, les dalles de stationnement, les réservoirs d’eau, les tunnels et les structures marines. Ces ouvrages ont démontré de bonnes performances et une bonne durabilité. Les performances des ouvrages en béton armé de PRF peuvent être améliorées en incorporant des fibres dans le béton. Les fibres d’acier et de polypropylène sont les plus couramment utilisées pour améliorer les performances du béton. Le présent projet de recherche propose le développement de nouvelles structures telles que les dalles de ponts, les pieux préfabriqués, les dormants en béton avec fibres synthétiques de pneus usés armés de matériaux composites de polymère renforcé de fibres (PRF). TO BE CONT’D

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Faculty Supervisor:

Brahim Benmokrane

Student:

Partner:

Ani-mat Inc.;Sym-Tech Béton Préfabriqué Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Development of Chitin Nano-whiskers Epoxy Nanocomposites for High Mechanical Performance and Structural Applications

Chitin is a vastly available resource in the form of waste from the fishing industry in Canada and worldwide. BOCO Bio-Nanotechnologies has currently the infrastructure in place for scalable extraction of CNWs (Chitin nano-whiskers) from crab shells. CNWs are crystalline regions of chitin, possessing high strength, stiffness and aspect ratio, making them ideal for reinforcement of polymer matrices. A significant market opportunity for BOCO is to incorporate CNWs in epoxy matrices to develop epoxy nanocomposite resins with high fracture toughness and mechanical properties. However, CNWs are significantly more hydrophilic as compared with epoxy resins, creating a challenge for incorporation. The objective of this project is the develop processing techniques for incorporation of CNWs within the epoxy matrix followed by a parametric evaluation of the effect of CNWs on the fracture, mechanical and thermal properties of the epoxy resins. TO BE CONT’D

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Faculty Supervisor:

Hani Naguib

Student:

Partner:

BOCO Technology Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Replanification dynamique des traitements de radiothérapie

La compagnie Elekta est spécialisée dans le développement d’équipements et de logiciels dédiées aux traitements en radiothérapie pour les centres de traitement de cancer comme celui à Laval (Centre Intégré de Cancérologie de Laval). Les traitements sont administrés par des équipements appelés accélérateurs linéaires qui projettent pendant une durée définie des rayons sur la région cancéreuse. Pour un patient donné, les traitements doivent être journalier et les reports ou annulations de ces derniers mettent en péril le succès de la thérapie.
L’allocation des traitements à ces machines reste complexe car de nombreuses contraintes opérationnelles sont à considérer et chaque patient possèdent des besoins différents pour la configuration des accélérateurs linéaires. En raison des bris d’équipement ou des changement dans l’état de santé des patients, des ajustements dans la planification des traitements, récurrents et effectués de manière manuelle, perturbent les cycles de traitement. TO BE CONT’D

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Faculty Supervisor:

Louis-Martin Rousseau

Student:

Partner:

Elekta

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Augmented decision making capabilities for innovation management and continuous improvement by organizations

In this project, our goal is to set up a framework of data collection to support user profiling which could be used to identify influential users in decision-making. The profile will be built based on the information of individual users obtained by collecting user activities in rewarding challenges that encourage employees, customers and partners to participate. In order to derive the profile, natural language processing tools are applied to extract useful information. After the user profile is obtained, we will conduct profile analysis which obtains user decision-making weight index, that is, the larger the index, the greater weight will be assigned to the individual in future decisions. In addition to the decision-making weight index, user interest can be extracted, such that subsequent services could be targeted on those influencers to increase efficiency.

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Faculty Supervisor:

Linglong Kong

Student:

Partner:

Output Services Inc

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Accelerate

A Customized CAD Tool for Automated CNC Program Code Generation

To develop parts from an initial design to the final product is a very tedious process in the mold manufacturing industry. Computer Numerical Control (CNC) plays a major role in the mold manufacturing industry to create products in a fast and efficient manner. The goal of this project is to automate the CAD to CNC program code generation. A customized CAD tool will be developed that reads a three-dimensional (3D) CAD file specification for a part, and automatically synthesize optimized G-code that will be used to program the CNC machine to manufacture the given part. There will be no manual intervention involved in G-code generation. The generated automated system will speed up the G-code generation task which is currently being done manually. TO BE CONT’D

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Faculty Supervisor:

Mohammed Khalid

Student:

Partner:

Concours Mold Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

A Snow Water Equivalence Estimation Prediction (SWEEP) System to Improve Hydrologic Forecasts in British Columbia

The mountains of British Columbia store vast, but varying, amounts of water in winter snowpacks. Accurate estimates of snow water equivalent (SWE) in these mountains are critical for hydroelectric power generation and flood forecasting, but the current observation network is often insufficient. Working with both industry and academic partners, Mitacs interns will use airborne laser measurements of snow depth, satellite-based observations of snow cover, and ground-based snowpack measurements to reduce errors in river forecasting. Knowledge and methods generated by this work will aid reservoir operation across British Columbia.

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Faculty Supervisor:

Brian Menounos;Joseph Shea

Student:

Partner:

BC Hydro (Burnaby, BC)

Discipline:

Earth science

Sector:

Utilities

University:

University of Northern British Columbia

Program:

Accelerate

Property Testing of Linear Threshold Functions

Inferring underlying properties of a dataset is a fundamental task in the fields of learning, statistics, and data analysis. In recent years, the amount of data which we have access to and would like to analyze continues to grow at an astronomical rate. Algorithms that were previously considered efficient for learning properties of the data are no longer feasible in this domain, and in many cases it is even prohibitively expensive to look through the entire data-set. This motivates the study of property testers, highly-efficient algorithms for determining whether a set of data satisfies a desired property, or is far from any data-set satisfying that property, while observing only a small portion of the data.
This work continues the study of property-testing of linear threshold functions (LTFs), a fundamental class of functions for learning theory, optimization, and computational complexity. TO BE CONT’D

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Faculty Supervisor:

Toniann Pitassi

Student:

Partner:

National Institute of Informatics

Discipline:

Computer science

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

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