Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

The landscape ecology of parasites and prey: habitat selection of Californiabighorn sheep (Ovis canadensis california) in the Okanagan Valley underexposure to Psoroptes ovis mite infestation.

In the Okanagan Valley of British Columbia, California bighorn sheep (Ovis canadensis california) populations have declined by 60% since 2011, likely due to a new mite infestation, Psoroptes ovis. These mites cause hearing loss and impaired awareness in wild sheep, possibly increasing their vulnerability to predation by cougars (Felis concolour). To assess this risk, data from GPS-collared bighorn sheep between 2014 and 2019 will be compared, in collaboration with the Government of British Columbia. Bighorn sheep are separated by highways, towns, and lakes, preventing transmission of mites from the east to the west side of the valley. Individual sheep survival, population growth and habitat use will be compared to infection status. An Agent Based Model (ABM) of movement-infection will explore the effects of landscape change on disease risk. This research will help wildlife managers understand sheep mortality and disease transmission, critical for conserving sheep populations in the future.

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Faculty Supervisor:

Adam Ford

Student:

Sultana Majid

Partner:

Wild Sheep Society of BC

Discipline:

Biology

Sector:

Environmental industry

University:

Program:

Accelerate

An Evaluation of Exercise Referral Schemes in Healthcare.

Greater physical activity and exercise is associated with better overall health and a reduced risk of many chronic conditions, but most of the Canadian population is insufficiently active. Physicians reach a large proportion of the population but experience barriers such as of time that prevent them from providing tailored exercise advice, as such they are interested in referring their patients to qualified exercise professionals or community exercise programs. Our proposed project aims to review the effectiveness of these exercise referral schemes to improve patient focused outcomes (i.e., physical activity levels, blood pressure, etc). The anticipated results of the present study may lead to more initiatives aimed at increasing the availability of community exercise programs and exercise professionals to support physical activity promotion in primary care.

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Faculty Supervisor:

Derek Kimmerly

Student:

Myles O'Brien

Partner:

Canadian Society for Exercise Physiology

Discipline:

Human physical performance and recreation

Sector:

Medical devices

University:

Program:

Accelerate

A Big Data Analysis Framework for MBFC Manufacturing

The Mercedes-Benz Fuel Cell Division (MBFC) in Burnaby, Canada develops and runs the manufacturing processes required for the assembly of Fuel Cell Stacks prototypes. MBFC uses the Manufacturing Execution System (MES) to collect and analyse data from the manufacturing lines to the database system. However, because the size of the collected data is very large, MBFC is not able to detect certain fuel cell defects in a timely manner and sometimes not at all. This Mitacs project aims to develop and evaluate a big data mechanism that improves the predictive power and reduces the time taken to search MBFC’s data and detect failures in the manufacturing process in a real-time fashion.

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Faculty Supervisor:

Irfan Al-Anbagi

Student:

Mahsa Azizi

Partner:

Mercedes-Benz Fuel Cell

Discipline:

Computer science

Sector:

Energy

University:

Program:

Accelerate

Detection of suspicious and/or abnormal real-time events from textual live data feeds

Social media and other real-time messaging applications represent valuable sources of real-time information that remain untapped by many service operators. The project is aimed at developing methodology for detecting suspicious and/or abnormal real-time events from textual live data feeds, based on predictive and/or anomaly detection algorithms applied to time series and text features.
TRT Canada is therefore interested in developing algorithms that will be able to recognize such events based on similarities with past events in order to address the mentioned scenario.
The research consists of evaluating some of the state-of-the-art methods in textual analytics in text stream processing and neural network techniques, such as deep learning and convolutional neural network. The experiments are designed to measure effectiveness of these methods at detecting anomalies and new events, event classification, and identification of event features, such as actors, locations, and time characteristics.

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Faculty Supervisor:

Stan Matwin

Student:

Gashin Ghazizadeh

Partner:

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Better predictions of employee events II

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence of data points. The results will enable improved Machine learning predictions related to employee events.

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Faculty Supervisor:

Leonid Chindelevitch

Student:

Hooman Zabeti

Partner:

Visier Solutions Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Next-generation antibody drug for immuno-oncology treatment: anti-TIM3 antibody development

Unprecedented advances have been made in the treatment of cancer through the use of antibody against immune checkpoints, priming immune system instead of targeting cancer, with approval of several antibodies for multiple cancer types. However, so far we are merely seeing the tip of the iceberg because responses to this form of therapy are not universal. Next-generation antibody drug is needed. TIM-3 negatively regulates immune system and is one of the next generation targets. We have generated 13 clones of TIM-3 antibodies, potentially can be anti-tumor drug. Here, a serial of experiments in biochemical, cellular, and animal models experiments are proposed. Evolution of this understanding will ultimately help guide treatment strategies to enhance therapeutic responses.

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Faculty Supervisor:

Yuzhuo Wang

Student:

Charlene Hoi-Broad

Partner:

Applied Biological Materials

Discipline:

Medicine

Sector:

Medical devices

University:

University of British Columbia

Program:

Accelerate

Development of new classes of bio-relevant linkers for PROTACs and other conjugates using new technologies – Year two

Les PROTACs sont de nouvelles molécules thérapeutiques ayant pour but de soigner certaines maladies grave comme les cancers. Ces composés sont des molécules linéaires constitués de trois composants principaux : une extrémité permettant de repérer la cible, une autre extrémité permettant de causer la dégradation de cette cible, et enfin un linker reliant les deux. Cette dernière partie est la moins étudié, bien qu’il ait récemment été prouvé qu’elle joue grandement sur les propriétés de la molécule finale. Le but de ce projet est de développer une petite librairie de linkers avec différentes tailles et compositions afin d’en étudier l’effet et d’ultimement développer des traitements plus efficaces en utilisant de nouvelles technologies dans le domaine de la chimie de synthèse.

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Faculty Supervisor:

André Charette

Student:

Sylvain Taillemaud

Partner:

NuChem Therapeutics

Discipline:

Chemistry

Sector:

Pharmaceuticals

University:

Université de Montréal

Program:

Elevate

Position sensitive detector density well logging tool development

In well-logging industry, gamma-ray density logging is an indispensable method to determine formations’ lithology and porosity. This research proposal under the support of Mitacs and Rimpac Advanced Technology Development Ltd. aims at developing a high-resolution density well logging tool which is expected to achieve higher precision and better vertical resolution of formation density measurement. This work is based on a previous Mitacs project. In this project, we will study the performance of this novel density logging tool in some complex geologic models.

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Faculty Supervisor:

Dugan O’Neil

Student:

Fafu Niu

Partner:

Rimpac Advanced Technology Development Ltd.

Discipline:

Physics / Astronomy

Sector:

Oil and gas

University:

Simon Fraser University

Program:

Accelerate

Data-Driven Intelligent Agents for Personalized Training on Design & Computational Thinking Skills

Computational thinking, i.e., the ability to formalize and solve problems with the assistance of computers, has become crucial in a growing range of jobs. Recent research in education has provided encouraging evidence that the development of computational thinking is the most effective when it is taught in the early childhood, and that game-based learning (GBL) technologies are extremely valuable in this context. However, children often need help when learning with GBL software. The goal of this project is to explore how to provide such help automatically and in a personalized way, which is important as personalization is a key aspect to facilitate human learning, as is it has been demonstrated by the effectiveness of one-to-one human tutoring. 

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Faculty Supervisor:

Cristina Conati

Student:

Sébastien Lallé

Partner:

UME Academy

Discipline:

Computer science

Sector:

Education

University:

University of British Columbia

Program:

Accelerate

Augmented reality immersive simulation for flight deck design and evaluation “Holodeck”

The aircraft flight deck has increased substantively in its complexity in recent years. The input systems are more complex, and the information feeds are much more detailed. In order for a pilot to interface effectively with the aircraft systems, the cockpit control functions must be laid out in an intuitive format. To do this, a trial and error approach is required, with meaningful input at each design phase.
From conceptual through to detailed design phases, the current human machine interface (HMI) design tools are not well suited for flight deck prototyping and design. The lack of validation tools and real time simulation capability using the flight deck mock-up limits the opportunity to perform early validation of HMI requirements in an operational environment. 

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Faculty Supervisor:

Jean-Marc Robert

Student:

Maryam Safi

Partner:

Bombardier Aerospace

Discipline:

Aerospace studies

Sector:

Aerospace and defense

University:

Ryerson University

Program:

Accelerate

Baseline parameters for application of human 3-D organoids as an in vitro model for studying neurotropic viral infection

Viruses that infect the brain, such as Zika virus, are a significant threat to public health in Canada since many are poorly understood, and no vaccines or antivirals exist to combat them. We are investigating the use of “mini-brain” organoids derived from human stem cells as a model to study Zika virus infection that mimics the physiology of the human brain. Here, we seek to optimize our methodology for infecting brain organoids with Zika virus. This work will form an important foundation for future research into Zika virus and other brain-targeting viruses, and will facilitate development of vaccines and antivirals to protect Canadians.

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Faculty Supervisor:

François Jean

Student:

Steven McArthur

Partner:

StemCell Technologies

Discipline:

Biology

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

Cultivating Ethos in the Tech Sector

The rapid development of technology and its ubiquitous integration with modern society has clarified for business and technology leaders the need for ethical conversations about the role technology can and should play in our lives. By interviewing primary stakeholders in the technology sector and putting their ideas in conversation with literature about the role of ethics in tech, this project will foster a critical dialogue between businesses, governments and users to overcome the ethical challenges posed by technological innovation. This research will inform the design of an interview protocol that will be conducted with chief technology and infrastructure officers at tech companies across North America. This will help inform knowledge exchange workshops conducted with tech companies at the Critical Media Lab, located at the Communitech Hub in downtown Kitchener, focusing on ethics, inclusion, and equity in the technology sector.

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Faculty Supervisor:

Marcel O’Gorman

Student:

Jason Lajoie

Partner:

Deloitte

Discipline:

Languages and linguistics

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

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