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

Femmes du Nord. Une histoire des Jamésiennes

De la colonisation du nord de l’Abitibi pendant la crise des années 1930, à la fondation de camps de prospecteurs dans un des derniers Klondike, jusqu’à la création de villes de compagnies modèles, l’histoire de la Baie-James est à l’image de son territoire : diversifié. L’histoire de cette région-ressource aussi grande que l’Allemagne a principalement été étudiée sous l’angle des industries qui ont forgées son développement. Cette manière d’étudier le territoire passe toutefois sous silence la place des femmes dans le développement de ses communautés. Femmes du Nord est le premier projet de recherche à s’intéresser à l’histoire des Jamésiennes et à reconstituer la place de celles-ci dans le développement de nos communautés nordiques.

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Faculty Supervisor:

François-Olivier Dorais

Student:

Partner:

Société d’histoire de la Baie-James

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Effects of Photochemical Aging on Wildfire Smoke and Traffic-Related Air Pollution Exposures on Human Lungs: Translational Science Through Collaboration and Partnership

Air pollution is composed of gases and Particulate Matter. Wood Smoke (WS) and Traffic-Related Air Pollution (TRAP) are the two most common sources of air pollution. Air pollutants arising from WS and TRAP differ chemically. Additionally, they undergo chemical changes due to atmospheric processes, such as photochemical aging. The role of the chemical composition of air pollutants in governing mechanisms (oxidative stress and inflammation) that may translate into inflammatory lung diseases, such as COPD, asthma, etc., is not understood well. We will investigate how exposure of human lung cells to fresh and photochemically aged TRAP, WS, and TRAP+WS affects the respiratory system. This will help improve our understanding of the underlying mechanisms, which can be translated into therapy and policy initiatives. The study will contribute to the Legacy for Airway Health’s goal to improve the respiratory health of Canadians through improved knowledge mobilization, which could be translated accordingly into improved air quality standards, cost-benefit analyses for policy and funding changes, air quality health index development, etc.

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Faculty Supervisor:

Christopher Carlsten

Student:

Partner:

Legacy for Airway Health

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

Eastern Whip-poor-will landscape use and migratory tracking

The primary goals of our project are to fill critical knowledge gaps directly identified in the Federal Recovery Strategy for the Eastern Whip-poor-will regarding habitat use, prey availability, migratory paths and strategies, and overwintering sites in Southern Ontario, and to inform landowners about the presence of Eastern Whip-poor-will on their properties to support on-the-ground stewardship initiatives.

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Faculty Supervisor:

Liam McGuire

Student:

Partner:

Birds Canada (ON)

Discipline:

Life Sciences

Sector:

Agriculture; Arts, entertainment and recreation; Other services (except public administration); Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Machine Learning based Combustion Control for Zero Carbon fuels

The Canadian Net-Zero Emissions Accountability Act targets net-zero greenhouse gas (GHG) emissions by 2050 with similar commitments around the globe. In the short-term, emissions from heavy-duty internal combustion engines (ICEs) that dominate the power generation in freight transportation industry can either be reduced or eliminated with zero-carbon fuels such as Hydrogen / Ammonia. One solution is the implementation of advanced combustion and optimal control strategies for the best performance and lifespan of the ICE. Model predictive control (MPC) is one of the most promising control strategies for handling these highly constrained nonlinear systems. The research will focus on integrating machine learning (ML) for the model and controller to discover state of the art control methods to optimize energy conversion in
mobile applications. The student will have the opportunity to gain experience in machine learning, MPC and experimental engine testing during their stay at the University of Alberta.

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Faculty Supervisor:

David Gordon

Student:

Partner:

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Schéma conceptuel et conception d’environnements immersifs appliqués en contexte de loisir pour l’inclusion des personnes autistes

Ce projet vise à améliorer la participation sociale des enfants autistes et de leur famille en utilisant des activités de loisir immersives basées sur la réalité virtuelle (RV), en particulier dans un environnement de type CAVE. Actuellement, les enfants autistes rencontrent des obstacles à la participation sociale en raison de divers facteurs, tels que des environnements inconfortables et des malentendus liés à leurs caractéristiques personnelles. Le projet propose d’utiliser la RV pour créer des activités inclusives qui tiennent compte des besoins et des forces des personnes autistes, favorisant ainsi leur participation sociale et leur bien-être. Le projet a trois objectifs principaux. Tout d’abord, élaborer un schéma conceptuel novateur en classifiant les activités de loisir préférées des enfants autistes, en mettant l’accent sur le type de jeu, les compétences développées et le niveau d’interaction. Ensuite, développer un scénario de jeu spécialement conçu pour encourager des interactions fortes entre les utilisateurs, adapté aux divers intérêts et niveaux de fonctionnement des enfants autistes. Enfin, expérimenter le jeu dans des organismes partenaires. Le projet contribue à la formation du stagiaire et s’inscrit dans une initiative plus large visant à renforcer l’inclusion sociale des enfants autistes au Canada en utilisant la RV.

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Faculty Supervisor:

William de Paula Ferreira

Student:

Partner:

École nationale supérieure d’électronique, informatique, télécommunications, mathématique et mécanique de Bordeaux

Discipline:

Computer science

Sector:

Technology; Education; Health and Related Sciences & Technology

University:

École de technologie supérieure

Program:

Globalink Research Award

Decoding Political Messaging to Working-Class Voters In Canada

This research project, “Decoding Political Messaging to Working-Class Voters In Canada,” is interested in understanding how the three major Canadian political talk to working-class voters. We will be looking at what the Liberals, Conservatives, and New Democrats say about important topics like jobs, climate change, and healthcare. By exploring and analyzing their party platforms from 2003 to 2021, we want to understand the similarities, differences, and significance of what and how they are communication to working-class Canadians. This study is valuable because it can offer practical recommendations for communicators, policymakers, and leaders to do a better job of reaching everyday Canadians. The partner organization, Resonant Strategic, will gain useful information and tips on connecting with working-class citizens, making their messages clear, and tackling issues that matter to everyone in Canada.

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Faculty Supervisor:

Feodor Snagovsky

Student:

Partner:

Resonant Strategic Inc.

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Mechanical Design and Power Drive Improvements for Moovee’s One-seater Prototype

An emerging concept in urban transportation systems is utilization of small electric vehicles that meet the demands for enclosed personal mobility. These types of vehicles are generally small and lightweight but require much less space than more conventional vehicles such as the Smart Car. Furthermore, the vehicle is all battery electric. Recent developments have utilized innovative in-wheel electric motors mounted on carbon fiber platforms. In such systems, each wheel unit contains a drive motor enabled with regenerative braking, steering, and suspension, all digitally controlled by a computer. The in-wheel motor concept enables maneuvers such as spinning on the wheel’s own axis, moving sideways into parallel parking spaces, and lane changes while facing straight ahead. Furthermore, the vehicle is foldable, resulting in smaller space requirements when parked. The folding mechanism also allows for safety in crash scenarios. The above features make the vehicle ideal for crowded cities with limited spaces. The proposed activity involves improvements in power drive and mechanism design for the Moovee’s Insectra vehicle and their proof-of-concept demonstration.

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Faculty Supervisor:

Mehrdad Moallem

Student:

Partner:

Moovee Innovation Inc

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

Simon Fraser University

Program:

Accelerate

Machine learning based classification of protein states from lipid fingerprints

This project is dedicated to unveiling how proteins within cell membranes adapt to their surroundings, particularly the lipid environment. Employing computer simulations and machine learning (ML), we focus on RAS signaling proteins and Mga2 transcription factors. RAS proteins, crucial for cell growth and division, are anchored to the cellular membrane and often exhibit mutations in cancer patients. Conversely, the Mga2 dimer, a transmembrane protein, plays a role in regulating the synthesis of unsaturated fatty acids. Through simulations of one of the proteins, RAS-RAF complex or Mga2, in diverse lipid environments, we collect data to train ML models, aiming to predict distinct protein states in varied lipid mixtures. Additionally, we explore if different protein states trigger shifts in the lipid environment. At the Centre for Molecular Simulations at the University of Calgary, our expertise lies in leveraging computer simulations to investigate lipid-protein interactions. Integrating ML with our studies opens new avenues for exploring lipid redistribution in cellular membranes and its impact on protein dynamics. Simultaneously, the Lawrence Livermore National Laboratory will benefit from an extended protocol for more complex systems, expanding its application to other proteins and using other lipid parameters.

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Faculty Supervisor:

Peter Tieleman

Student:

Partner:

University of Utah

Discipline:

Life Sciences

Sector:

Artificial Intelligence; Life Sciences (not health); Pharmaceuticals

University:

University of Calgary

Program:

Globalink Research Award

Effects of rotational grazing implementation at the Thunder Bay Community Pasture on soil and forage health

This project is about creating dynamic maps of cattle movement over pasture foraging patches that will be characterized by forage plant composition, cover, and nutrition and takes place at the Thunder Bay Community Pasture (TBCP). The project is intended to test how the costs of implementing rotational grazing on the TBCP can be minimized by working with principles of cow-calf pair cohesion to manage the placement of “leader” cows in paddocks, and to make recommendations on how average summer daily gains for the cattle on the pasture can be increased along with increasing soil health, forage plant diversity and pasture utilization. The results will be matched to Ontario’s pasture utilization targets, which are currently being defined by OMAFRA, the Ontario Ministry of Agriculture, Food and Rural Affairs.

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Faculty Supervisor:

Brian McLaren

Student:

Partner:

Huazhong Agriculture University

Discipline:

Life Sciences

Sector:

Agriculture and Food; Natural Resources

University:

Lakehead University

Program:

Globalink Research Award

How does the prefrontal cortex respond to various obstacle avoidance tasks

The proposed project will look at participant’s brain activity while completing a stone-stepping task. Brain activity will be measured through EEG while the stone-stepping task will be projected through the Motek C-Mill treadmill. The research goal is to synchronize the data from a motor event occurring on the treadmill to cortical brain activity. The participants will be asked to complete a Stroop stone stepping task, where a green stone means to step on the stone, while a red stone means to avoid it. By Synchronizing the cortical activity to a motor decision-making task allows researchers to answer a fundamental question of what is occurring in the brain during various motor tasks. Wilfrid Laurier University will benefit from this partnership by strengthening an existing connection between Dr. Michael Cinelli and Dr. Mark Hollands, who were colleagues at the University of Waterloo. This connection will strengthen Wilfrid Laurier and Liverpool John Moores by creating an opportunity for future research and knowledge translation. Liverpool John Moores University will benefit from the partnership by having a dedicated intern understanding the nuances of the Motek C-Mill treadmill as this equipment is new to Dr. Mark Hollands’ laboratory.

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Faculty Supervisor:

Michael Cinelli

Student:

Partner:

Liverpool John Moores University

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Health and Related Sciences & Technology

University:

Wilfrid Laurier University

Program:

Globalink Research Award

Study Cluster melting by enhancing Parallel Tempering Monte Carlo Simulation with Gaussian Software Interface through GPU Acceleration for Efficient Energy Calculation

This project aims to simulate the melting of clusters that are important in the field of nanotechnology and catalysis. We will improve the computational efficiency of Parallel Tempering Monte Carlo (PTMC) simulations by integrating GPU capabilities and interfacing with Gaussian software for energy calculations. The project is an essential part of a Ph.D. thesis that aims to speed up simulations. It will involve developing compatible codes for various GPU architectures and establishing a connection between PTMC simulations and Gaussian software. This will expand the research capabilities in nanoscience, allowing for a deeper understanding of cluster melting. The project will benefit the participating institutions in Toronto and Berlin by building expertise in high-performance computing and nanotechnology, This knowledge will advance scientific research and equip future scientists and students with valuable skills in utilizing cutting-edge computational tools and methodologies.

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Faculty Supervisor:

Rene Fournier

Student:

Partner:

ZUSE Institute Berlin

Discipline:

Physics

Sector:

Nanotechnology; Artificial Intelligence; Quantum Science

University:

York University

Program:

Globalink Research Award

New spin cross-over complexes for quantum calculations

Most computers and materials work on scales such that quantum effects can be comfortably ignored. But as we aim to make computers ever smaller, quantum effects will cause difficulties; however, they also provide opportunities. Spin-crossover (SCO) materials are molecules that can “Flip” between two states: either high or low spin binary states, making them essentially the miniaturization goal for electronics. These molecules do not exist in a vacuum, but rather in crystals. When molecules crystallize they can do so in several different ways, called polymorphs that affect the space around the individual molecules and this can make a molecule either show or fail to show SCO activity. It’s hard to make molecules, and to have it then fail to crystallize in a polymorph that is conducive to SCO behaviour would be unfortunate. It is really hard to predict the polymorph that a compound will make; however, it might be possible to do so with a large enough dataset and modern machine learning tools. In this project we are looking to build this model with the help of an international intern so that we can move towards building highly miniaturized logic gates and perhaps eventually, very, very small computers.

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Faculty Supervisor:

John Trant

Student:

Partner:

University of Tabriz

Discipline:

Physics

Sector:

Quantum Science; Technology; Artificial Intelligence

University:

University of Windsor

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.