Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
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842
SK
8957
ON
9368
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96
PE
579
NB
1120
NS

Projects by Category

Developing Machine Learning Methods for RGB Images to Quantify Crop and Weed Populations Across Agricultural Fields

Food security is a global concern due to the ever-increasing population amid limited agricultural land resources. Farmers utilize fertilizers and herbicides to ensure consistent crop establishment. However, overuse of fertilizers and other treatments leads to negative consequences resulting in soil depletion, environmental contamination, and pollution. An effective way to reduce these toxic chemicals is to apply the optimal amount based on crop/weed distribution. Uneven crop distribution adversely impacts crop production, and it is important to identify inconsistent areas within a field. Once inconsistent regions are identified, site-specific treatments can be prescribed. Site-
specific farm management practices require high-resolution quantification of crop establishment like plant stand counting, leaf area estimation, inter-row spacing, inter-plant spacing, plants per crop row and plants per acre. Traditionally, manual scouting is performed to estimate these parameters, which is subjective, time-consuming, costly and not fully representative of the whole field. In this research proposal, we develop methods for quantifying crop establishment and biotic stress mapping using AI methods. Recently, highly accurate deep learning-based object detection methods have been developed. These methods are widely applied for non-agriculture applications like autonomous vehicles and medical imaging.

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Faculty Supervisor:

Abdul Bais

Student:

Partner:

Croptimistic Technology Inc

Discipline:

Engineering

Sector:

Agriculture; Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

ROS2 Native Robot Controller for Manufacturing

In 2017, the global market for stand-alone industrial robots reached 2.1 million units, with a value of 8-16 billion USD for installation, service, and programming. This project aims to develop a modular robotic solution for controlling robots in the manufacturing industry, utilizing the open-source Robot Operating System 2 (ROS2) framework. The goal is to create a compact, high-performance system that enables direct communication between robot actuators and the ROS2 framework, to improve automation in the manufacturing industry. This will include the development of real-time controllers that can communicate directly with motor drivers, allowing for flexible configurations and applications to custom hybrid robotic systems, such as autonomous ground vehicles with robotic arms.

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Faculty Supervisor:

Ya-Jun Pan

Student:

Partner:

Nanyang Technological University

Discipline:

Engineering

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

LIDAR à deux peignes aéroporté

L’équipe du Centre national d’études spatiales (CNES) à Toulouse a développé un concept de télédétection laser (LIDAR) aéroporté pour la détection et la quantification du dioxyde de carbone (CO2) ultimement à partir d’un satellite. Le projet est en phase initiale et un démonstrateur de laboratoire de même qu’un instrument aéroportés sont en cours de développement ou fonctionnels. Le but du stage est de mettre en application l’expertise en interférométrie à deux peignes de l’Université Laval afin d’améliorer la qualité des mesures. Il s’agit en particulier de mettre en oeuvre certaines approches de traitement du signal, en particulier de correction de phase interférométrique, dans un contexte où le chatoiement (speckle) de la tache laser est problématique.

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Faculty Supervisor:

Jérôme Genest

Student:

Partner:

Institut National des Sciences Appliquées de Toulouse

Discipline:

Engineering

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Measuring International Entrepreneurial Competency

This important research project seeks to a) engage graduate students from National Cheng Kung University (NCKU) in an
immersive entrepreneurial experience in Toronto, Canada in the fields of advanced computing, clean technologies and scientific
innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning.
Students will participate in a variety of structured entrepreneurial learning activities and will work with a variety of start-up
employers to learn about Canadian entrepreneurial innovation firsthand. The findings of this evaluation will significantly inform
future international entrepreneurial programming, which is hypothesized to lead to increased entrepreneurial activities in Canada
and by Canadian overseas.

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Faculty Supervisor:

Andrea Duncan

Student:

Partner:

National Cheng Kung University

Discipline:

Computer science

Sector:

Technology; Education

University:

University of Toronto

Program:

Globalink Research Award

Enhancing the Explainability of Temporal Financial Data

Deep Learning has seen great success in recent years in application to high-dimensional data. In the advent of increased computability, the increase in accuracy of Deep Learning has surpassed traditional statistical methods. Consequently, the complexity of Deep Learning methods are not interpretable (black-box); therefore, are often dismissed in high-risk domains such as health care and finance. Explainable Artificial Intelligence (XAI) aims to increase the interpretability of black-box models through explanations. In finance, forecasting is important for both the researchers and policymakers in financial economics, but the development of XAI for time-series models is limited and often the XAI methods do not take into account the aspect of time in explanations. Therefore, we propose to develop and implement a variant of the deep learning explainer Integrated Gradients to produce explanations for temporal data.

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Faculty Supervisor:

Hsuan Fu

Student:

Partner:

Swansea University

Discipline:

Computer science

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

Building a Data Fluent Canadian Cultural Sector

21st century Canada requires a data fluent arts and culture sector. The cultural sectors and their funders must mobilize data to understand the impact and value of their efforts in Canada and abroad, and to improve these efforts. Building a Data Fluent Canadian Cultural Sector will identify existing data collection efforts in Canada, describe data types, collection methods and standards. It will establish who is currently undertaking cultural analytics research and what data they are collecting and producing, connect these researchers, and their data with efforts to build a common database, and encourage their use of such a database with the intention of coordinating significant and ongoing research. We will create a plan for an integrated database of cultural data and researchers; and create a prototype.

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Faculty Supervisor:

Sara Diamond

Student:

Partner:

Synapse C

Discipline:

Sociology

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Ontario College of Art & Design University

Program:

Accelerate

Understanding the Baseline and Changes in Canada’s Blue Economy Workforce

Canada is launching a new plan for its oceans, titled the “Blue Economy”, which is focused on economic development that will benefit Canadians equitably and protect the environment. This project is focused on understanding a baseline of who is part of Canada’s ocean industries, and create a monitoring tool to see if diverse Canadians benefit as the Blue Economy plan is implemented. Importantly, Blue Economy plans aim to aid in the economic benefits towards Indigenous people, and this research is focused on understanding how Blue Economy plans can best promote the wellbeing of Canada’s Indigenous people. The partner organization has a mandate to promote a diverse workforce in Canada’s ocean economy, and this research program would directly help the organization achieve that my understanding baseline characteristics and monitoring change.

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Faculty Supervisor:

Gerald Singh

Student:

Partner:

Pisces Research Project Management Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Création d’un pôle métavers dans l’incubateur

Cette étude analyse la manière dont les incubateurs et accélérateurs d’entreprises (AIE) dans une industrie très émergente construisent leur légitimité pour attirer les entrepreneurs et des acteurs importants de l’écosystème entrepreneurial dans leurs programmes. Nous étudierons ce phénomène à travers le cas de l’incubateur Digihub qui lance un pôle de créativité et métavers dans son programme. DigiHub Shawinigan est un organisme à but non lucratif créé en 2014 dans le but de favoriser l’innovation et le développement d’entreprises et de projets liés au numérique. L’étude se fera sous la forme d’une recherche collaborative et un étudiant travaillera étroitement avec le Digihub dans le cadre d’une observation participative.

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Faculty Supervisor:

Octave Niamié;Fabiano Armellini

Student:

Partner:

DigiHub Shawinigan

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

Validation of the Canadian psychosocial rehabilitation competency document: A Delphi Study

Psychosocial rehabilitation follows the philosophy of “recovery-orientated practice”, centered around the idea of
maximizing wellbeing even while experiencing symptoms of mental illness. Psychosocial Rehabilitation (PSR)
Canada is the only organization with a competency document aimed to promote, standardize, and improve the
delivery of PSR in Canada. This document was last reviewed in 2017 and benefits from continuous validation to
reflect the changing sociocultural context of Canada. A validated competency document with clear criteria for good
quality PSR will encourage more mental healthcare providers to adopt this practice, ultimately benefitting all
Canadians who access health care. PSR Canada will also benefit from the growth and recognition of their services
by more stakeholders in the country. This study will use a Delphi design, which incorporates extensive input into
the final document from stakeholders across the country through interviews, focus groups, and surveys.

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Faculty Supervisor:

Shu-Ping Chen

Student:

Partner:

Psychosocial Rehabilitation (PSR) Canada

Discipline:

Sociology

Sector:

Education

University:

University of Alberta

Program:

Accelerate

The Phone Oximeter, a Simple Mobile Device to Screen for Sleep Apnea in Children Year Two

The high prevalence of obstructive sleep apnea (OSA) poses a serious threat to the healthy growth and development of many children. The lack of oxygen during sleep can lead to daytime sleepiness, growth failure, behavioural problems and developmental delay. Polysomnography (PSG), the gold standard to diagnose OSA is high in cost, requires a well-equipped sleep laboratory and overnight stay. The Phone Oximeter, is a mobile device that integrates a pulse oximeter with a cell phone. In addition to the blood oxygen saturation (SpO2), it provides a signal of changes in blood volume. The aim of this project is to develop an apnea-screening tool using the Phone Oximeter’s signals, to identify children with significant OSA, who would need a full PSG study, reducing waiting lists and costs. This portable, in-home device will cause less sleep disturbance, facilitate more natural sleep patterns, and provide the ability to monitor patients over multiple nights.

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Faculty Supervisor:

Guy Dumont

Student:

Partner:

LionsGate Technologies Inc

Discipline:

Engineering

Sector:

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

University:

The University of British Columbia

Program:

Elevate

Recherche sur la maturité technologique 4.0 des PME du SLSJ

Cette recherche vise à bâtir un outil d’auto-audit 4.0 accessible, gratuit, disponible en ligne qui servira de base consultative pour des organismes ayant à faire de la promotion-conseil auprès des PME du virage numérique. La recherche permettra de :
? Outiller l’Axe numérique de la mission de la SADC du Haut-Saguenay et ses conseillers
? Démocratiser l’audit 4.0 pour la PME locale (vs processus coûteux d’audit du MEI IQ);
? Diagnostiquer les PME et éduquer les entrepreneurs sur le s stades de leur virage numérique, avec des
recommandations tangibles grâce aux degrés de maturité 4.0 générés par l’outil
? Doter l es partenaires (Promotion Saguenay, SADC du Haut-Saguenay, SADC du Fjord, SADC Lac-Saint-Jean-Ouest, SADC Maria-Chapdelaine) d’informations stratégiques en matière de virage numérique et d’industrie 4.0 à niveau régional et national auprès des instances politiques et de leur conseil
d’administration
Le projet aura pour valeur-ajoutée de créer une base de données quantitative régionale, évolutive, permettant de situer les PME sur une échelle de maturité technologique 4.0, proportionnelle à leur réalité locale.

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Faculty Supervisor:

Myriam Ertz

Student:

Partner:

Promotion Saguenay Inc;SADC du Haut-Saguenay;SADC du Fjord;SADC Lac-Saint-Jean Ouest;SADC Maria-Chapdelaine

Discipline:

Business

Sector:

Other services (except public administration)

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Implementation of parallel and artificial intelligence techniques to solve power systems in a faster and more efficient way

Nowadays, the electrical systems have thousands of nodes. To simulate this kind of systems electromagnetic transient programs (EMTP) are often used. One of the widely used commercial programs available is PSCAD, which can simulate large networks. However, these kinds of systems could impose an important computational burden, and use a considerable amount of time to be simulated. In this sense, the propose of this research is to implement and search for alternatives to accelerate the simulations of power systems, especially in PSCAD. To attain this objective, in the first part of the research different parallel computing techniques will be implemented, and if possible, improved. Later on, artificial intelligence algorithms will be used to find optimal simplified network equivalents of large systems, aiming to accelerate the simulations even further.

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Faculty Supervisor:

Aniruddha Ani Gole

Student:

Partner:

Manitoba Hydro International Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Elevate

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