Innovative Projects Realized

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

30156 Completed Projects

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812
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Projects by Category

Cellulose Nanocrystals Reinforced Nitrile Butadiene Rubber (NBR) nanocomposite dipped products: Processing and Structural Properties

The research project will develop processes for the fabrication of latex rubber films containing cellulose nanocrystals (CNCs) as reinforcement to enhance the physical properties of the films. Similarly, improving the compatibility between the latex rubber and the CNCs will be investigated which is expected to significantly improve the physical properties of the films, resulting in the possibility of using thinner films. Benefits to the partner organization will be the added value of CNCs especially to the rubber industry which will generate more market and revenue.

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Faculty Supervisor:

Tiz Mekonnen

Student:

Partner:

CelluForce Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Automated detection of vegetation in proximity to distribution electric network

Tree contact with distribution lines is a leading cause of electric power outages for utilities in North America. Nova Scotia Power Inc. (NSPI) operates over 26,000 km of distribution lines. NSPI subscribes to a condition based asset management approach to mitigating vegetation that has the potential to threaten reliability of the distribution network. Currently, understanding the condition of the system in the context of vegetation proximity to conductor is an ocular exercise that is subjective in nature and lacks conformity. The key question intended to be addressed is how technology can optimize the collection of information regarding the location of utility structures and vegetation condition through remote sensing technology. To address this need, we will look at advancements in remote sensing technology to see if sensors available using photogrammetry and/or LiDAR can be rapidly deployed on utility fleet vehicles to aid in deriving asset condition.

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Faculty Supervisor:

Tim Webster

Student:

Partner:

Nova Scotia Power

Discipline:

Physics

Sector:

Utilities

University:

Nova Scotia Community College

Program:

Accelerate

Middle ear optical coherence tomography imaging system

This project will develop a microscope to allow ear surgeons to non-invasively see through the ear drum and into the middle ear. 250,000 ear surgeries are conducted annually in the US, but currently ear surgeons do not have a good diagnostic tool for imaging the middle ear non-invasively. For many forms of conductive hearing loss, conclusive diagnosis is only achieved in the operating room once the eardrum is cut open. Our imaging system uses optical coherence tomography, a safe, non-invasive imaging method that produces depth-resolved images of the ear and measure the response of ear structures to sound. This last feature allows clinicians to pinpoint the site of fixations or discontinuities that cause conductive hearing loss. The aim of this work is to answer the question: Can middle ear optical coherence tomography improve middle ear diagnostics and generate better treatment outcomes for patients suffering from conductive hearing loss

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Faculty Supervisor:

Geoff Maksym;Jeremy Brown

Student:

Partner:

Audioptics Medical Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Using chemokines to enhance DC-based cell therapy

Immune therapies for cancer are in their early stages and require further investigation to improve their function. Chemokines and their receptors are responsible for directing white blood cells to various parts of the body. Because they are so important in controlling the immune response, they make ideal targets for therapy. To exploit this, we aim to use these receptors to identify cells that are ready to migrate and investigate the effect these cells have on tumour growth We expect that the cells which are more suited to moving to lymph nodes will be better at inducing an immune response capable of controlling tumour growth. Therefore, we suggest that using these cells as a therapy will result in smaller tumours. These tumours will also contain an increased number of white blood cells which are better equipped for killing the cancer cells.

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Faculty Supervisor:

Michael JH Ratcliffe

Student:

Partner:

University of Glasgow

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Deep Portfolio Model

Portfolio management is a well-known multi-factor optimization problem, which involves historical price data, macroeconomic data and market indicators. Many researches have been conducted to find optimal portfolio allocation using machine learning. However, some limitations still exist, such as incorporating multiple factors into a single model, the robustness for encountering economic events, and potential bias by using historical data. The objective of the project is to develop an adaptive portfolio selection method to achieve the desired objectives (e.g. risk minimization, return maximization, index tracking) based on deep learning. The procedures include: Investigate the current limitations and identify their causes; Propose solutions to the limitations through literature review and empirical experiments; Implement the solutions into the portfolio selection model; Achieve more desirable results than the current ones. The improved method would be able to assist in automating portfolio management and be adaptive to a diversity of objectives and different types of data.

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Faculty Supervisor:

Deepa Kundur

Student:

Partner:

Osaka University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Deep learning-based Vision Inspection

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a new inspection system. Through the internship, the student will gain much hands-on experience with deep learning, the company will be able to commercialize the research result.

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Faculty Supervisor:

Jiannan Wang

Student:

Partner:

DaoAI Robotics Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Labo Climat Montréal

Le Labo Climat Montréal est un projet de recherche qui accompagne la Ville de Montréal et Ouranos dans le redéveloppement urbain du quartier Lachine Est. Son objectif est de développer de nouvelles pratiques de planification de projets urbains qui prennent en compte l’adaptation aux changements climatiques. Pour cela, les stagiaires participeront aux nombreuses tâches du projet. Tout d’abord, documenter et analyser les pratiques de planification en place pour comprendre les enjeux et contraintes actuels. Puis, faire participer de nouveaux acteurs au processus de planification de Lachine Est pour expérimenter de nouvelles façons de faire. Enfin, rédiger un rapport final documentant l’ensemble de la démarche pour améliorer la coordination entre acteurs et les pratiques de planification de l’arrondissement et de la Ville de Montréal en ce qui a trait à l’adaptation aux changements climatiques.

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Faculty Supervisor:

Sophie L Van Neste;Sophie Duchesne;Dominic Lapointe;Sylvain Paquette;Geneviève Cloutier;Sophie L Van Neste;Michel Rochefort;Danielle Dagenais

Student:

Partner:

Ouranos Inc

Discipline:

Sociology

Sector:

Accommodation and food services; Agriculture; Professional, scientific and technical services; Public administration

University:

Université de Montréal; Université du Québec : Institut national de la recherche scientifique; Université du Québec à Montréal

Program:

Accelerate

Exploration des stratégies d’optimisation des méthodes agiles au sein d’une équipe de communication

La recherche a pour but d’observer comment l’agilité se traduit dans un contexte communicationnel. Les méthodes agiles sont souvent présentes dans le domaine des technologies de l’information (TI) avec des équipes de développeurs. Toutefois, plusieurs recherches scientifiques importantes démontrent que les méthodes agiles telles que le Scrum peuvent et devraient s’appliquer dans le domaine des communications.
C’est dans cette optique que le premier objectif de la recherche est d’observer comment l’agilité peut prendre place dans une agence de communication. Le second objectif vise à trouver des stratégies pour optimiser les méthodes agiles utilisées dans des équipes de communication.
Pour ce faire un stage sera réalisé dans une agence de communication. L’entreprise Substance servira de terrain de recherche pour les deux objectifs nommés ci-haut.
Peu de littérature scientifique existe actuellement sur l’application des méthodes agiles dans le cadre des communications. TO BE CONT’D

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Faculty Supervisor:

Marc D David

Student:

Partner:

Substance stratégie numérique

Discipline:

Sociology

Sector:

Wholesale trade

University:

Université de Sherbrooke

Program:

Accelerate

Studying Effect of Structured Electrospun GDL on Performance Of PEMFCS

Proton Membrane Exchange Fuel cells (PEMFC’s) are a promising and advantageous because of its simple structure, low maintenance, high efficiency, low operating temperature and rapid startup. It has variety of application in real world like, transportation, clean energy and use as an aviation fuel and many other possible uses. Regardless of that, there are certain engineering challenges to this technology dealing with issue like water management. water management is really crucial for performance of PEMFC’s. Our research involves study of Structured Electrospun gas diffusion layer(GDL) on an active PEM fuel cell at Montana State University (MSU), effect of temperature and pressure on GDL will also be studied. Optimum operating condition for a PEMFC’s is 60 to 80 degree Celsius but in colder regions having an ambient surrounding condition at below subzero, water freezes and blocks the pores, which hampers the proton transfer in the PEMFC. TO BE CONT’D

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Faculty Supervisor:

Lifeng Zhang

Student:

Partner:

Montana State University

Discipline:

Engineering

Sector:

Education

University:

University of Saskatchewan

Program:

Globalink Research Award

Sernova’s Cell Pouch SystemTM: next-generation preclinical development and assessment of engraftment efficiency in clinical islet transplantation

Next generation preclinical development (caspase inhibitors, stem cell evaluation) and islet metabolic engraftment efficiency in a Phase I/II clinical study of the Cell Pouch™ for islet transplantation in Type 1 diabetes. (The Cell Pouch System™ is a proprietary non-biodegradable polymer device designed by biologists, scientists and engineers which unobtrusively fits under the skin, rapidly incorporating with tissue and microvessels to form a natural environment for engraftment of islets to provide a tight feedback system allowing insulin release for glucose control in diabetics. The scalable Cell Pouch™ has undergone successful initial preclinical proof of concept testing and has been contract manufactured for small and large animal and human clinical evaluation (sentinel and full size pouches).

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Faculty Supervisor:

James Shapiro

Student:

Partner:

Sernova Corp

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Investigation into the potential of convenient EEG platforms in performing auditory attention detection

n noisy environments, normal hearing individuals demonstrate an ability to tune into a desired speaker while attenuating irrelevant background noise. Previous studies have shown that by analyzing brain wave data in the form of electroencephalography (EEG), and applying a technique called stimulus reconstruction technique, we can determine and even roughly reconstruct the attended speech. These results present an opportunity for applying the concept of deciphering auditory attention in neuroprosthetics, assistive technologies that utilize brain waves to complement the human ability. However, before such neuroprosthetics can be used in real life, there is a need to simplify the hardware of the system, such as minimizing the number of electrodes in collected neural data from a full cap configuration to a few electrodes. Changes in hardware will have implications on the system’s performance in detecting attention, and will require adjustments in programming. TO BE CONT’D

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Faculty Supervisor:

Mike Smith

Student:

Partner:

The University of Tokyo

Discipline:

Engineering

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

The REACH Project: Digital Fabrication Lab (part 5)

The Diocesan Food Bank of Guadalajara (BDA) is a Civil Society organization which has operated in the Jalisco state of Mexico since 1991. Its main function is the management and distribution of food donated by companies and individuals, which are destined to the poor families of the State of Jalisco. Jalisco is home to 8.3 million people with over 1.24 million individuals experiencing food poverty. Approximately one third of all food produced in Mexico is wasted; the equivalent of enough food to feed over 7 million individuals. The BDA is able to procure, process and redistribute over 40 tons of food to affiliated communities and civil society organizations but, owing to operational capacity, over 90% of the population continues to live in hunger. TO BE CONT’D

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Faculty Supervisor:

Joseph Wong

Student:

Partner:

ITESO, Universidad Jesuita de Guadalajara

Discipline:

Sociology

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award