Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Intelligence artificielle appliquée dans l’industrie du bois

La forêt est une ressource importante pour le Québec et le Canada. Des entreprises d’ici produisent les machines et outils nécessaires à la transformation du bois. Les moulins à scie modernes sont déjà hautement informatisés afin d’optimiser la valeur de la ressource sylvestre, mais il y a place à l’amélioration. Ce projet de recherche développe des outils d’apprentissage supervisé, une forme d’intelligence artificielle, afin de permettre aux machines d’être plus efficaces en devenant plus intelligente. Des modèles apprenant des erreurs passées pourront ainsi être intégrés aux machines afin d’ajuster leurs opérations. Certains défis doivent toutefois être relevés, par exemple, de bien gérer les erreurs de mesures présentes dans les données historique qui servent à l’apprentissage des modèles.

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Faculty Supervisor:

Jean-François Plante;Robert Platt

Student:

Partner:

FPInnovations (Québec, QC)

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

HEC Montréal; McGill University Health Center

Program:

Accelerate

Coalition and Spin-off for Frequent-flyer program

I intend to study the two trends in the industry of airlines: coalition and spin-off; I want to find out how the implementation of one affects the practice of the other as well as how they inform the airlines’ strategic decisions to maximize profit for the long term. To map out the relationship and interaction between the two trends, I plan to develop a conceptual model to simulate how the two trends can evolve for an indefinite period of time with the help of dynamic programming. After the development of the model, I would like to validate the model with the dataset that can be obtained from the labs at the Miami Business School. The trends of coalition and spin-off are expected to facilitate the realization of the operation goals of the airlines, depending on their internal resources and their interaction with the commercial partners.

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Faculty Supervisor:

Changmin Jiang

Student:

Partner:

University of Miami

Discipline:

Business

Sector:

Education

University:

University of Manitoba

Program:

Globalink Research Award

Designing Student Success: Building a Mobile Application to Improve Student Retention and Persistence

Ipse offers self-help to students transitioning to college or university to achieve their goals in a way that suits their personality. It uses machine-learning and crowdsourcing to recommend action plans to the students. The proposed research in collaboration with Ipse is aimed at furthering our understanding of personality traits and identification of suitable action plans based on those traits. Specifically we will survey a target population to identify common student traits and the associated action plans. We will propose advanced machine learning techniques to recommend an action plan based on a student’s personality. We will also explore various visualisation approaches to improve student participation. The research will allow Ipse to further develop/improve their product that would ultimately result in an engaged student population.

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Faculty Supervisor:

Yasushi Akiyama;Steven Smith;Pawan Lingras

Student:

Partner:

Ipse Media

Discipline:

Computer science

Sector:

Education; Information and cultural industries

University:

Saint Mary's University

Program:

Accelerate

Collaborative task completed by two small humanoid robots in a cluttered environment using real time stabilisation and 3D motion planning

In general, humanoid robots are more apt than other mobile robots to move in environments made for humans, their models. As such, they are better suited to be used in emergency situations caused by natural disasters happening in urban environments.
Developing collaborative systems would reduce the cost of robotic solutions, as less expensive robots could be used without reducing the overall performance.
The project aims to develop control algorithms allowing two humanoid robots to move objects in a cluttered environment. A previous project showed that it is possible for two humanoid robots using 2D motion planning to travel in a cluttered environment. Another previous project showed it is possible to move objects in a stable way by using a controller based on simplified physics models. The goal is to continue these projects and develop a real time stabilizer to improve the individual stability of the robots. It is also desired to improve the motion planning by achieving it in three dimensions instead of two. These improvements should allow motion otherwise impossible when planned in two dimensions, as done previously, as well as improve the overall performance of the system.

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Faculty Supervisor:

Wael Suleiman

Student:

Partner:

University of Tsukuba

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Predicting Risk of Aggressive Responsive Behaviours among People Suffering from Dementia using Natural Language Processing (NLP) and Machine Learning (ML).

Patients with dementia will eventually experience significant loss of cognitive function. Many will have difficulty properly communicating life’s challenges and instead become agitated, resulting in verbal or physical aggression. Monitoring the risk of a resident harming themselves or others due to aggressive behavior is a priority within a long-term care facility where dementia is present. Caregivers at Shannex regularly record resident health and behaviour using computing systems. Each of these systems digitally record information either as structured data or unstructured text, providing an on-going log of each resident’s patient history. The objective of this project is to use natural language processing (NLP) and machine learning (ML) techniques to develop models that can predict the probability of a resident exhibiting aggressive behaviours that may harm themselves or others within the next week.

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Faculty Supervisor:

Daniel Silver

Student:

Partner:

Shannex Inc

Discipline:

Computer science

Sector:

Information and Communications Technology; Health and Related Sciences & Technology; Other

University:

Acadia University

Program:

Accelerate

Conception des infrastructures de transport sur pergélisol instable

Les forces armees canadiennes sont appelees a consolider leur presence eta intensifier leurs operations dans le Nord canadien. La plupart de ces operations requierent des infrastructures (batiments, chemins et pistes d’atterrissage) et une grande capacite de mobilite terrestre. Les environnements pergelisoles qui caracterisent une grande proportion du territoire nordique Canadien sont potentiellement tres instables et constituent une grande source d’incertitude pour le deploiement d’infrastructures et pour Ia realisation d’operations terrestres. Le projet propose porte sur le developpement de principes et de methodes pour Ia conception, Ia construction et l’entretien d’infrastructures de transport en milieux pergelisoles dans un contexte de changements climatiques. Le present projet pour sur les problematiques de mobilite sur terrain nature! et de deploiement d’infrastructures temporaires ou permanentes pour les operations de Ia defense nationale sur pergelisol sensible dans le Nord canadien.

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Faculty Supervisor:

Guy Dore

Student:

Partner:

SNC-Lavalin Group Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Illuminating Substrate-Recognizing Mechanisms in the Haemophilus influenzae Immunoglobulin A1 Protease

Immunoglobulin A1 proteases (IgAPs) are biological catalysts (enzymes) produced by many pathogens of the human respiratory tract. Their ability to infect these tissues heavily relies on IgAPs, so much so that those unable to produce a functional enzyme are unable to cause disease. As blocking IgAP activity theoretically halts the infection process, IgAPs are a worthwhile target for drug-developing research aimed at finding new respiratory infection treatments. If successful, these new therapeutics will provide a much-needed alternative to traditional antibiotics, especially important considering the foreseeable consequences of antibiotic-resistant bacteria. Unfortunately, this is still in the distant future. Scientists currently do not fully understand the mechanisms guiding IgAP function, information needed to increase the chances of developing a successful clinical drug. I will bridge this gap by using cryogenic electron microscopy to illuminate molecular interactions between a specific IgAP and the molecule it naturally acts on. This will provide atomic-level information that will guide future research on new treatment options against respiratory infections.

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Faculty Supervisor:

Todd Holyoak

Student:

Partner:

University of Colorado Denver

Discipline:

Life Sciences

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

Play for Reality: Conveying Sustainability Challenges Through Game Mechanics

Several Ontario regions have agreed to reduce their carbon emissions by 80% by 2050. However, many of these cities don’t actually have a plan for how they’ll reach this noble but challenging goal. In response, the Waterloo Global Science Initiative (WGSI) (in partnership with several Waterloo Region collaborators) has created a prototype board game called Energize: its goal is to draw attention to the challenges and the solutions of how a city can reduce carbon emissions.

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Faculty Supervisor:

Neil Randall

Student:

Partner:

Waterloo Global Science Initiative

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Evaluating Team Unbreakable: A learn-to-run program for adolescent mental health

Given the rise in adolescent mental health concerns, Canadian secondary schools are increasingly focused on implementing programs aimed at improving mental resilience in students. One such program is Team Unbreakable, a 10-week, learn-to-run program that is based on four theoretically driven program components: goal-oriented, group-structured, within the school context, and physical activity based. This program has been implemented in 117 schools, with nearly 10,000 students participating over the last five years across southern Ontario. Unfortunately, this program has yet to be evaluated. The present collaboration proposes a research study to explore the effectiveness and acceptability of this program. Students will be asked to complete a self-report questionnaire on key outcome indicators and participate in semi-structured interviews to discuss their program experiences. The findings from this evaluation will guide the growth and development of this program as Team Unbreakable goes through critical structural changes.

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Faculty Supervisor:

Catherine Sabiston

Student:

Partner:

Team Unbreakable

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Toronto

Program:

Accelerate

Modeling of the Wear Performance of Carbide-Based Overlays and Coatings

Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those modifications through experimentation, trial-and-error, and microstructural analysis. This proposed research project has been designed with a view to developing advanced modelling solutions that will result in a priori prediction of wear and erosion behavior of select overlay and coating systems. By developing such solutions in collaboration with the partner organization, InnoTech Alberta, the applicants expect that the partner organization will be able to select and test the performance of appropriate overlay and coatings materials without incurring significant costs and will be able to deploy suitable overlay and coating solutions efficiently into the stream of commerce.

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Faculty Supervisor:

André McDonald;James Hogan

Student:

Partner:

InnoTech Alberta

Discipline:

Engineering

Sector:

Advanced Manufacturing; Energy and Utilities; Oil and Gas

University:

University of Alberta

Program:

Accelerate

Experimental and numerical study of PEM electrolysis

The proposed project aims to understand and optimized the performance of hydrogen production from renewable energy sources using PEM electrolysis cell. Experimental study of PEM electrolysis cells will be conducted at the University of Tokyo along with numerical simulation. Three-dimensional numerical model using ANSYS Fluent Electrolysis module will be developed. Fluid flow, heat and mass transfer as well as electrochemistry inside the PEM electrolysis cell will be quantified and validated. Effect of various design and operating parameters will be evaluated to arrive at the most optimum condition. This research will contribute on the efficiency improvement of PEM electrolysis cells for hydrogen production from renewable energy.

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Faculty Supervisor:

Agus Sasmito

Student:

Partner:

The University of Tokyo

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Micro-structural characterization of hydrothermal phyllosilicates associated with precious metals

Hydrothermal gold deposits contribute a noteworthy fraction of the world’s gold endowment. These deposits are characterized by the widespread occurrence of hydrothermal alteration formed during the interaction of hydrothermal fluids with the wall rocks, which induces important mineralogical and geochemical changes to the original rock.
The main objective of this research is the detail characterization of hydrothermal minerals in close spatial and genetic relation to precious metals (gold and silver) in various hydrothermal gold occurrences on the island of Newfoundland (Canada). Such an objective will be achieved by integrating an innovative combination of state-of-the-art analytical techniques and mineral modelling at Texas Tech University. Analytical techniques include X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). XRD will provide information on the crystal structure and mineralogy of the samples, while SEM will allow observations on the surface topography and morphology of studied minerals.
The outcome data will be a crucial part of my PhD research, since it will give valuable information on the processes related to the occurrence of gold and silver in Newfoundland.

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Faculty Supervisor:

Graham Layne

Student:

Partner:

Texas Tech University

Discipline:

Earth science

Sector:

Education

University:

Memorial University of Newfoundland

Program:

Globalink Research Award

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