Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Project Yellow Cricket: Fantasy hockey data analysis and pattern recognition

Officepools.com is a flagship product of GSL Group, acquired in 1999. The site is an online fantasy sports platform offering various sporting and entertainment events to choose from, such as football and golf, but primarily specializing in the National Hockey League (NHL).
Officepools.com has a userbase of around six hundred and fifty thousand people, with the majority of users being male aged 30 to 50 years and located in Canada. Yellow Cricket is a project that analyzes hockey data gathered from Officepools.com.
The project’s objectives are the following:
• Understand and analyze existing data and its outcome
• Analyze trends and data to predict players’ performance
• Predict hockey team’s placement in the standings at the end of season
• Understand how and where else within the business to use the analysis

View Full Project Description
Faculty Supervisor:

Jiannan Wang

Student:

Partner:

GSL Holdings

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Monitoring Vital Signs and Location for COVID-19 detection

COVID-19 has already infected more than 2.8 million people with close to 200 thousand death globally (as at 2020 April 25), while it is continuously spreading. Before a vaccine is discovered, the only way to slow down the spread and reduce the number of death is testing. Nevertheless, there is no guarantee that someone recovered will not be infected again. It is necessary to keep monitoring COVID-19 patients and contact tracking. All patients currently tested positive for COVID-19 are sent home for self-confinement. Agents of public health call them on a daily basis by phone one by one. This is increasingly complicated to do as the number of cases grows exponentially, besides the fact that the data collected is incomplete and often incorrect. We will develop a wireless monitoring device for patients who tested positive and for patients at risk like senior citizens. The device will alert health officials if the person has a sudden rise in temperature or indicators of respiratory distress. With geo-localization built into the device, we will plot a propagation network to inform who came into contact with the patient and use this as a public health agent to prevent further spread of COVID-19.

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Faculty Supervisor:

Irene Cheng;Sharmistha Bhadra

Student:

Partner:

iMD Research

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University; University of Alberta

Program:

Accelerate

A real time high performance approach to volumetric light transport

Our research consists of developing novel techniques to further improve the rendering time and quality of volumetric light transport, in special the effect of multiple scattering on path tracing. Our proposal is to explore the human perceptual system to speed up the computation using a visual perception metric. To determine which parameters are feasible of change in a way not perceptible by the human eye, the CIE metric states that two images will look similar if the Euclidian distance in the CIELAB color space is smaller than 2.3. With this threshold, we will be able to determine which parameters of our technique play a heavier role and thus balance them out to get better performance while keeping quality. These new rendering techniques may be incorporated into motion pictures, animations and games giving better visuals to participating media such as clouds, smoke and dust.

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Faculty Supervisor:

Pierre Poulin

Student:

Partner:

Universidade Federal do Rio Grande do Sul

Discipline:

Computer science

Sector:

Technology; New and Digital Media; Other

University:

Université de Montréal

Program:

Globalink Research Award

Locator/IP Separation Protocol for BCNET Services

Fundamental limitations of the current Internet architecture hinder the growth rate of the Intemet. The
LocatorllD Separation protocol enables the Intemet to grow beyond the current limils and to gain the
very much sought after scalability. This project offers the opportunity for BCNET and the educational
and research institutes supported by BCNET to connect to the testbed implemented by Cisco. This
testbed might form the core of the future Internet. The developed connection will provide the research
institutes in British Columbia with research opportunities dealing with future Internet architectures.

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Faculty Supervisor:

Ljiljana Trajkovic

Student:

Partner:

BC.NET

Discipline:

Computer science

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

State Estimation and Active Equalization of Lithium-ion Batteries for Application in Battery Management System (BMS) for Electric Vehicles

Electric vehicles (EVs) industry is a promising solution to address the oil crisis and environmental pollution. There are some challenges that limited the widespread adoption of EVs such as limited driving range, long charging time, and safety consideration. To tackle these challenges, the battery management system (BMS) in electric vehicles requires substantial improvement. For instance, accurate battery on-line state estimation in BMS, such as state of charge (SOC), state of health (SOH), and state of power (SOP) can enhance the reliability of EVs. On the other hand, internal and external conditions of cells could cause inter-cell inconsistency of variables such as operating voltage, SOC, or capacity which accelerate the aging mechanism and decrease the battery life cycle. In this research, a physics-based model will be developed to accurately estimate the battery states and efficiently and rapidly equalize the inter-cell inconsistencies to enhance the battery life cycle.

View Full Project Description
Faculty Supervisor:

Michael Fowler

Student:

Partner:

Granano Tech

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Implementing Industry 4.0: Agent-based simulation as a supporting tool for companies’ digital transformation

Industry 4.0 is the main strategy to strengthen the competitiveness of the manufacturing sector over the next years. Simulation is a key enabling technology of Industry 4.0, supporting the development of planning and exploratory models to optimize decision making, the design and operations of complex and dynamic production systems. It may also support companies to evaluate the risks, costs, implementation barriers, impact on operational performance and a roadmap toward the 4th Industrial Revolution. This project aims to investigate how to model and simulate Industry 4.0 implementation scenarios to support companies’ digital transformation using agent technology. First, a general framework will be proposed to guide researchers and practitioners to modeling and simulating Industry 4.0 scenarios. Then, proofs-of-concept will be developed in collaboration with the industrial partner to validate the framework.

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Faculty Supervisor:

Fabiano Armellini;Luis Antonio de Santa-Eulalia

Student:

Partner:

Productique Québec Inc.

Discipline:

Engineering

Sector:

Advanced Manufacturing; Information and Communications Technology; Artificial Intelligence

University:

Polytechnique Montréal

Program:

Accelerate

Gate Driver Development for E-mode GaN Power HEMT

Crosslight Inc. is a leading provider of technology CAD tools for the design and simulation of semiconductor devices. They are also developing innovative gallium nitride (GaN) HEMT which is considered as one of the next generation materials for power electronics. Because of the material properties of GaN are different from the traditional silicon semiconductor devices, GaN offers superior advantages as power transistors, including low conduction loss, low switching loss, and high switching frequency. These benefits can both increase the system efficiency of power converters and decrease the passive component cost and the PCB size. However, there are some challenges existing in GaN power HEMTs as their gate structures are more prone to breakdown when compared to silicon transistors. Therefore, it is necessary to design a gate driver for GaN HEMT with the appropriate output voltage. This work could assist the market expansion of GaN power HEMTs by offering simple gate driving solutions.

View Full Project Description
Faculty Supervisor:

Wai Tung Ng

Student:

Partner:

Crosslight Software Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Causes and Methods of Reducing Dilution at the Seabee Mine

Open stope mining is one of the most commonly used mining methods in Canada because of the strong
rock types of the Canadian shield, high production rates and the high extraction ratios associated with
this mining method. However, dilution associated with this mining method can add significant costs to
mining. This research looks at factors that may especially influence the dilution associated with
narrow veined orebodies. These factors include:
? induced stress changes,
? blast damage
? undercutting
Induced stress changes may weaken the rock mass prior to mining and blast damage as well as
undercutting could play a factor in stope dilution. It is difficult to obtain good blast fragmentation in
narrow vein mining, without using a high explosive concentration. These factors will be coupled with
established empirical design methods for assessing stope performance.
Through quantifying the above design parameters, this study aims to improve the prediction of open
stope dilution for narrow veined orebodies.

View Full Project Description
Faculty Supervisor:

Doug Milne

Student:

Partner:

Claude Resources Inc

Discipline:

Engineering

Sector:

University:

University of Saskatchewan

Program:

Accelerate

Politiques de rétention du personnel en milieu rural

En milieu rural, plusieurs PME ne peuvent se développer à leur plein potentiel car elles peinent à embaucher une main-d’œuvre qualifiée et engagée. Compte du contexte actuel de pandémie qui invite l’ensemble des travailleurs à revoir et à se recentrer sur leurs besoins personnels et professionnels, les PME doivent plus que jamais être à l’écoute de leurs employés pour favoriser leur satisfaction et engagement au gré du temps. La présente recherche propose d’examiner les déterminants organisationnels du fonctionnement au travail et intention de demeurer en emploi des employés d’entreprises manufacturières en milieu rural. Plus spécifiquement, les pratiques de leadership, les mesures organisationnelles et les pratiques de gestion seront examinées en relation avec l’image organisationnelle (indicateur d’attraction), de même que la motivation, l’engagement, la satisfaction (indicateurs de rétention du personnel) et l’intention de quitter des employés (indicateur de roulement du personnel).

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Faculty Supervisor:

Stéphanie Austin

Student:

Partner:

Maxi-Drain;Excavation Alain Lemay;L4 Construction

Discipline:

Business

Sector:

Construction and infrastructure; Manufacturing

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

DREAMLAND; Mobile

Le projet DREAMLAND; Mobile a pour objectif d’améliorer considérablement la qualité des soins hospitaliers promulgués aux grands brûlés lors des séances d’hydrothérapie et transformer une expérience hospitalière à priori négative, voir traumatisante, en une expérience ludique et positive, tant pour l’enfant que pour la famille qui l’accompagne.
Dans le cadre des MITACS, les stagiaires travaillerons à l’optimisation du jeu vidéo en réalité virtuelle DREAMLAND pour les séances de traitement d’hydrothérapie destinées aux enfants grands brulés. Cette expérience en réalité virtuelle est adaptée aux jeunes de 5 à 17 ans et est utilisée comme outil de distraction. Il permet de remplacer ou cohabiter avec la médicamentation analgésique aux effets fréquemment délétères, ceci afin de la réduire, voire même dans certains contextes l’éliminer complètement. Le game design de DREAMLAND a été précisément conçu afin d’optimiser le niveau d’engagement et d’immersion du jeune patient.

View Full Project Description
Faculty Supervisor:

Cathy Vézina;Sylvie Le May

Student:

Partner:

Paperplane Therapeutics inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal; Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Interpretable dimensionality reduction of multivariate time series data using LSTM based autoencoders

Data collection over time is a common practice in many large organizations- including financial institutions and health care providers- often with the goal of using this data to predict future challenges and opportunities. While this data may contain valuable information, it is often unstructured, coming from different sources and recorded at different times. This lack of structure makes extracting useful information difficult, as most standard statistical and machine learning tools are designed to work with data in a fixed structure. This project will develop a framework for automatically learning a fixed length representation composed of interpretable features from unstructured data collected over time, which requires minimal intervention by human experts. The efficacy of the framework will be evaluated by learning representations for electronic health records, created by the Synthea simulator.

View Full Project Description
Faculty Supervisor:

Ting Hu;Yuanzhu Chen

Student:

Partner:

NASDAQ Canada Inc

Discipline:

Computer science

Sector:

Finance and Insurance; Health and Related Sciences & Technology; Information and Communications Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

Short Text Similarity Calculation and Related Question Recommendation in Customer Service Chatbots

We build up chatbots for commercial companies to serve their needs, such as customer services. Within the whole chatbot building platform, there is one core component which is the short text similarity calculation component. We would like to improve our calculation capability for matching similar questions, as well as recommend related questions for the customers while they are chatting with the customer service agents.

View Full Project Description
Faculty Supervisor:

Animesh Garg

Student:

Partner:

RSVP Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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