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
BC
801
MB
663
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825
SK
8841
ON
9197
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95
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568
NB
1088
NS

Projects by Category

NBMC Intercultural and Anti-Racism Skills Toolkit – Research and Development Project

The New Brunswick Multicultural Council is the developer and coordinator for the Creating Inclusive Workplaces and Communities training program, and this organization is in the process of developing an anti-racism training program. The main objective of this effort is to provide participating employers, government departments, community service organizations, and non-for-profit groups with the skills, attitudes, and perspectives necessary to cultivate racial and cultural equity and inclusion, and to do so in ways that are specific to their organizations and institutional structures.
In this project, in collaboration with STU, NBMC will supervise a Mitacs intern to create Intercultural Skills and Anti-Racism Skills toolkits. The toolkits will serve as hubs of resources for the assessment, development, implementation, and evaluation of inclusivity programs. The resources provided in these toolkits will take the forms of references (PDFs, videos, books, websites), tools (surveys, checklists) and training events (e-learning sessions). These toolkits will enable training programs by giving the participants practical ways to
? identify existing barriers;
? develop and implement strategies to overcome those barriers;
? create paths for inclusion and racial equity;
? evaluate and revise programs for enabling inclusion and equity.

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Faculty Supervisor:

Gül Çali?kan

Student:

Partner:

New Brunswick Multicultural Council

Discipline:

Sociology

Sector:

Public administration

University:

St. Thomas University

Program:

Accelerate

Optimization of Graphical User Interface for the Digital Pathology Workstation

The workflow of pathologists will soon be revolutionized with the introduction of digital pathology allowing pathologists to view tissue samples as a digital image on a computer workstation. Such a conversion from traditional microscopy will bring many benefits to the pathologist’s workflow aiming to boost significant efficiency as well as ergonomic benefits. However, much work needs to be done to bring such a technology to the clinical setting in the hospital. One significant problem is gaining the acceptance of pathologists to adopting new technology. A core challenge to the problem is the effective design of a user interface to optimize the digital pathology workflow. The work proposed for the current research project aims to develop an intuitive user interface that will be readily accepted by pathologists.

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Faculty Supervisor:

Karl Zabjek

Student:

Partner:

Huron Digital Pathology

Discipline:

Life Sciences

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Developing Alternative Career Decision-Support Tool for Internationally Educated Health Professionals

Internationally Educated Health Professionals (IEHPs), are those who completed their health professional degree (e.g., nursing, MD, etc.) from outside Canada. Many of the IEHPs, however, cannot integrate into their ideal career i.e., nurse, physician, etc. and remain underemployed in non-skilled jobs. The low rate of success in obtaining their respective career in Canada leaves no choice but to explore alternative career options. A lack of information and strategic support, lack of job counseling and coaching opportunities for IEHPs further obstruct their pursuit of alternative careers. To address the issues to the integration of IEHPs through alternative careers we propose this project to develop a decision-support tool for IEHPs to facilitate their pursuit of alternative career. The tool will suggest a short-list of jobs filtering from estimated 150-200 potential alternative jobs to an IEHP based on their personal preference and constraints, transferable skills, and the job requirements by the employers.

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Faculty Supervisor:

Tanvir Turin Chowdhury

Student:

Partner:

Alberta International Medical Graduates Association

Discipline:

Sociology

Sector:

Education

University:

University of Calgary

Program:

Accelerate

Acceptabilité, utilisabilité et efficacité de robot de télé-présence pour atténuer les effets de l’isolement social chez les personnes âgées

Les mesures barrières recommandées par la santé publique pour limiter la propagation de la COVID-19 impliquent confinement et distanciation sociale; ce qui accentue l’isolement et la sédentarité des personnes âgées. En situation de confinement, les personnes âgées sont isolées et déconnectées de leurs liens sociaux habituels. Cet isolement social a un impact important sur la participation sociale et la qualité de vie des aînés. Ce projet vise à (1) évaluer l’acceptabilité et l’utilisabilité de robot de télé-présence et (2) étudier l’efficacité potentielle de l’utilisation de telles technologies pour limiter les effets de l’isolement chez les personnes âgées. Ce projet sera mené en partenariat avec l’entreprise Alaviva et avec la collaboration de trois résidences pour aînés (RPA) de la région de Québec-Capitale nationale. Des personnes âgées volontaires, recrutées au sein de ces RPA avec l’aide des coordonnateurs de loisir, participeront à différentes expérimentations visant à documenter les avantages et les limites de l’utilisation de robots de télé-présence, ainsi que les facilitateurs et les potentielles barrières à leur implantation dans les RPA au Québec, en période de pandémie et bien au-delà.

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Faculty Supervisor:

Charles Sèbiyo Batcho

Student:

Partner:

Maelström créatif inc

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université Laval

Program:

Accelerate

Caractérisation diélectrique des sols pour le suive de la neige par radar

Une mission satellitaire lancée en collaboration par l’Agence Spatiale Canadienne et Environnement et changements climatique Canada projette d’envoyer un satellite muni d’un radar à ouverture synthétique en bande Ku en orbite dans les prochaines années. L’objectif de cette mission est d’effectuer le suivi de la neige dans l’Hémisphère nord en utilisant la télédétection radar. Le paramètre principal de la neige qui sera suivit est l’équivalente en eau, c’est-à-dire la quantité d’eau obtenue lors de la fonte d’un volume de neige. Une forte sensibilité à ce paramètre a été observé dans les données de radars en bande Ku obtenues dans des études précédentes. Par contre, le signal radar est aussi impacté par les conditions du sol sous la neige qui peuvent bruiter le signal. Le sol crée ainsi des incertitudes lors de la mesure de l’équivalent d’eau de la neige. Le projet proposé a donc pour but de développer une sonde diélectrique afin de caractériser les paramètres du sol qui pourraient impacter le signal radar en hiver. Une partie de ces mesures pourra être effectué en collaboration avec François Demontoux dans le cadre du stage proposé.

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Faculty Supervisor:

Alexandre Roy;Alexandre Langlois

Student:

Partner:

Université de Bordeaux

Discipline:

Physics

Sector:

Information and Communications Technology; Technology

University:

Université du Québec à Trois-Rivières

Program:

Globalink Research Award

Safe Unmanned Traffic Management (SafeUTM)

Unmanned Air Vehicles (UAVs) became ubiquitous in our everyday civilian lives for both recreational activities, such as sports, as well as film and photography. They have also been used in several military operations such as tactical reconnaissance. The prediction of a near future where drones will be used frequently for search and rescue, package delivery and, in larger scale urban mobility, has drawn the attention of regulatory bodies to the need of new regulations for safe Unmanned Air Traffic Management (UTM). This research proposes a set of software solutions for the safe operation of drones in urban, rural, and remote areas. The research focuses on the development of novel sense and avoid algorithms. These algorithms will be part of SafeUTM, which is a platform under development by Savinte that will create a safe operation of drone traffic in accordance with the regulations for Remotely Piloted Aircraft Systems (RPAS). The proposed solutions will enhance the safety of automatic, semi-automatic, and manual operation of drones.

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Faculty Supervisor:

Luis Rodrigues

Student:

Partner:

Savinte

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Expanded Assessment of Climate Change-induced Geohazards for Ice-clad Canadian Volcanoes and Mountains

In Canada’s mountains, climate change is leading to the retreat of glaciers, permafrost thawing and accelerated snowmelt. These factors contribute to a significant increase in slope stability hazards and the risk of landslides, placing numerous communities and critical infrastructure at risk. Volcanoes are particularly vulnerable as they are commonly hydrothermally altered and weakened, thereby compounding the effects of climate change and further increasing the associated risk of collapse. Municipal, regional, provincial and federal agencies recognize the critical importance of effectively monitoring unstable slopes on ice-clad volcanoes and mountains in order to more effectively mitigate and respond to these potentially catastrophic hazards. By coupling satellite-based Earth Observation data with ground-based geological and geotechnical information, this project will continue to help TRE Altamira develop a framework for a semi-automatic satellite monitoring service to monitor ice-clad volcanoes and mountains within the Garibaldi Volcanic Belt and ore broadly throughout the Pacific Northwest.

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Faculty Supervisor:

Glyn Williams-Jones;Douglas Stead;Brent Ward

Student:

Partner:

TRE Altamira Inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Powering Transactive Energy Markets using Smart Contracts in an Integrated IoT-Blockchain Platform

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through electrical vehicle batteries), and consume energy. We will investigate various energy-related use cases and assess their relevance for Hydro-Quebec, as well as determine the added value of using a blockchain solution. We will then build a prototype, using open source blockchain software, to realize a studied use case using smart contracts. We will integrate our blockchain platform with the transactive energy platform developed by UQTR. Finally, we will evaluate our integrated IoT-Blockchain platform, in order to assess the challenge gaps surrounding the current systems, and further identify further research opportunities to improve the applicability and reliability of blockchain technology.

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Faculty Supervisor:

Kaiwen Zhang

Student:

Partner:

Hydro-Quebec (Shawinigan, QC);Hydro-Quebec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Multi-sensor object detection and localization for inspection robots

Hydro-Québec faces numerous challenges to inspect and maintain its infrastructures. Robotics used for infrastructure inspection can lead valuable gains in efficiency. However, large-scale adoption of inspection robots requires higher autonomy levels, like the capacity to autonomously inspect specific assets. AI-based object detection and localization is a key capability to complete autonomous inspections with robots. This project is about leveraging inspection capabilities of inspection robots with deep learning techniques.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Hydro-Quebec (Varennes, QC)

Discipline:

Computer science

Sector:

Utilities

University:

Université de Montréal

Program:

Accelerate

Heterogeneous Knowledge Graph Representation and Learning for Career Path Recommendation

This project is about better understanding talents and managers to help them reach their professional goals. For professionals, it might be about growing their career, getting their dream job, or finding the most efficient way of getting it. For managers, it might be about discovering interesting talents to join their team, or finding the most efficient talent set to carry out their project. To do so, we build a large knowledge graph based on several ontologies describing skills, roles knowledge and abilities. We then use deep learning approaches to identify entities of interest in CVs, infer users’ skills and recommend career moves. As such, our work contributes to the company’s vision of fostering professional growth by assisting organizations of all sizes through their process of digital transformatio

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Faculty Supervisor:

Amal Zouaq

Student:

Partner:

Conova AI

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Characterizing anti-inflammatory properties of medicinal mushrooms

Medicinal mushrooms possess compounds with beneficial properties, including anti-microbial, anti-tumoral, and anti-inflammatory, which support their role and application in current healthcare practices. In this proposal, we will measure the impact and role of extracts from medicinal mushrooms provided by Wake Network Inc. to identify how immune cells and an animal model change their response to a biological challenge in the presence of the extracted compounds. We aim to identify opportunities to use medicinal mushrooms to positively regulate the host inflammatory response to an adverse environment, supporting the application of the mushrooms produced by Wake Network Inc. as natural therapeutic options. The information gained from this study will permit the tailoring of medical treatments with mushroom extracts, depending on the status of the host, and inform the mechanistic changes within the host upon treatment.

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Faculty Supervisor:

Jennifer Geddes-McAlister;Bryan Crawford

Student:

Partner:

Wake Network Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Guelph; University of New Brunswick

Program:

Accelerate

Mass spectrometry for multiplexed highthroughput analysis of large molecules

Whether it is for research, development or diagnostics, life sciences typically require the quantitation and characterization of samples with assays that classically measure molecules one at a time. Considering that the development and execution of such assays are time consuming and requires considerable investment, the uses of multiplexed analysis would be highly advantageous. Mass spectrometry is a technology that allows multiplexing, but requires highly specialized knowledge in order to achieve the desired results. It is not new that large molecules, mostly proteins, are being analyzed by mass spectrometry. However it remains limited to literate users due to the complexity of the task. Using state-of-the-art instrumentation, this project aims to develop highly standardized approach with simplified data analysis to break barriers that limit the use of mass spectrometry for large molecules analysis.

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Faculty Supervisor:

Klaus Klarskov

Student:

Partner:

PhenoSwitch Biosciences Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

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