Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Effects of plant mix, restoration year, and management regime of urban meadows on plant-pollinator network size, structure, and diversity

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant mix, restoration age, and management regime to improve TRCA best practices for future projects. The intern will conduct timed bee surveys at the Meadoway at sites 1-5 years post restoration and on specific flowers. Bees will be identified to species level and used to develop a synoptic collection for the Meadoway. The plant-pollinator network properties will allow the intern to rank plants present in the Meadoway based on attractiveness and value to wild bees. This information will be available to TRCA for their ongoing projects and management practices that target biodiversity conservation in public spaces.

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Faculty Supervisor:

J. Scott MacIvor

Student:

Partner:

Toronto and Region Conservation Authority (Vaughan, ON)

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Public administration

University:

University of Toronto

Program:

Accelerate

outil innovant, supportant l’amélioration continuelle, sur le plancher des opérations dans le domaine médical et hospitalier

Ce projet, réalisé en collaboration avec Polytechnique et la société FLEXGROUPS. Le projet MITACS, vise la production d’un outil pour supporter et favoriser les démarches type Kaizen dans les organisations. Il propose de mettre en oeuvre une démarche outillée permettant une gestion simplifiée en utilisant les technologies modernes, de collecte de données (capteurs), d’enregistrements ergonomiques (tablettes tactiles) et de traitement automatisé (production de synthèses pour la direction) et mise à disposition multi-médias (sms, e-book, tablettes, internet). L’objectif de ce projet est de développer cette plateforme, de la tester en environnement de laboratoire pour pouvoir ensuite la proposer aux structures hospitalières comme support à l’amélioration continuelle au sein de leurs départements. Il vise également la levée du verrou de l’implication des personnels, notamment par la remontée automatique d’alertes liés à des capteurs positionnés dans l’environnement de travail.

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Faculty Supervisor:

Samuel-Jean Bassetto

Student:

Partner:

Flex Group

Discipline:

Engineering

Sector:

Commercial Services

University:

École Polytechnique de Montréal

Program:

Accelerate

Calcul d’indicateurs en lien avec le modèle de complexité économique

MCD inc est une entreprise qui supporte les différentes régions du Québec en soulevant des opportunités d’affaires actuelles et futures pour les entreprises de production de biens. Elle contribue ainsi à la planification stratégique pour l’augmentation de la richesse des régions. Environ 25% des MRC du Québec utilise ses services pour le développement économique de leurs territoires, et MCD inc. est en discussion avec d’autres provinces canadiennes pour le déploiement de sa solution partout à travers le Canada. L’objectif du stage est d’améliorer l’outil de décision et conseil de MCD inc. sur les opportunités d’affaires et de marchés des biens produits, mais aussi d’élargir l’activité de MDC inc. vers l’identification des opportunités d’affaires et de marchés des produits verts (l’économie verte). Ceci permettra MCD inc. de renforcer sa contribution non seulement à l’augmentation de la richesse des régions, mais aussi à contribuer à l’amélioration de la qualité de l’environnement.

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Faculty Supervisor:

Jie He

Student:

Partner:

LinkkiSolution

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Assessing the relationship between tick abundance on pastures and on cattle, and the risk ticks represent to cattle and livestock workers

The two most common tick species in Manitoba are the American dog tick and the blacklegged tick. American dog ticks can infect cattle with a bacterium that causes bovine anaplasmosis, a blood-borne disease that can severely affect animal health and production. Blacklegged ticks can transmit several tick-borne infections like Lyme disease, granulocytic anaplasmosis, and babesiosis to humans and horses. Blacklegged ticks are a relatively recent addition to the Manitoba tick fauna, and there is no information on the importance of their relationship with cattle in the Prairies. Also, the relationship between the abundance of ticks in a pasture and the number of ticks infesting the animals is not well established. We propose to sample pastures and animals to define the relationship between habitat and exposure of livestock and workers to two species of ticks and help us evaluate the health and economic risks associated with ticks on pastures.

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Faculty Supervisor:

Kateryn Rochon

Student:

Partner:

Manitoba Cattle Producers Association

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Manitoba

Program:

Accelerate

Research an intelligent framework for conversational AI software with the ability of financial advisors’ market insight

From simple transactions to complex investment strategies and wealth management, the customers want instant, intelligent answers to their questions, comprehensive financial knowledge education, and connection to a financial advisor on social media. To provide enhanced user experiences, we are researching an intelligent framework for conversational AI software with the ability to deliver financial advisors’ market insight. Furthermore, an AI Robo financial advisor that is robust enough to communicate and smart enough to facilitate customers with the financial knowledge, decent enough with portfolio management model, and extensible enough to meet new financial market development. The company sponsoring this project aims to evaluate different frameworks and find a quality machine learning model that produces an effective outcome.

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Faculty Supervisor:

Michal Aibin

Student:

Partner:

SPECTADROID B.C. TECHNOLOGIES

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

British Columbia Institute of Technology

Program:

Accelerate

Mapping High-Level Workflows to Low-Level Robotic Actions

We are developing a robotic platform and agent that is able to translate instructions (e.g. “bring me the newspaper”) into a series of low-level programs (moving between rooms, locating objects, interacting with objects) and executing these autonomously. Traditionally, in hierarchical reinforcement learning, tasks are executed sequentially, but we would like to focus on parallelization and parameterization of low-level skills.

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Faculty Supervisor:

Liam Paull

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université de Montréal

Program:

Accelerate

Developing new drawing techniques to create believable Black hair in 2D Animation, and its role in increasing representation of African heritage in mainstream kids media.

Through iterative design and experimentation, this research aims to overcome the technical challenge of creating an authentic and respectful representation of African American hairstyles in mainstream 2D Animation.

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Faculty Supervisor:

Glenn Sylvester;Juan Carlos Lopez de la Torre

Student:

Partner:

Atomic Cartoons

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Capilano University

Program:

Accelerate

Formation inclusion par l’art

Ce projet vise le rapprochement interculturel en utilisant l’art et l’ethnographie pour proposer une formation dont la base des informations est tirée de l’expérience et de la trajectoire des individus et des groupes dans les quartiers de Montréal. L’objectif de cette recherche est de produire une formation qui pourrait contribuer à transformer les préjugés et les stéréotypes qui empêchent l’égalité et l’inclusion de groupes racisés dans notre société. C’est pourquoi nous voulons mettre sur pied une formation destinées aux entreprises afin de sensibiliser les employés et les cadres aux problématiques de racisme dans les entreprises et aux avantages de la diversité socioculturelle. La méthodologie utilisée ici se veut inclusive en interrogeant les savoirs absents, les savoirs périphériques, le savoir des gens simples par le biais d’un vox populi. Cela nous permettra de recueillir l’opinion et l’expérience des québécoisEs sans distinction de statuts, sans discrimination de races de couleurs ou de religions.

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Faculty Supervisor:

Martin Hébert;Bob White

Student:

Partner:

P.A.A.L. Partageons le monde

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université Laval

Program:

Accelerate

Development and Prototype of Safe and High-Energy Electric Double-Layer Capacitors – Part 4

Supercapacitors are electrochemical energy storage devices that allow electricity to be stored for later use and play an essential role in utilizing intermit renewable energy. This collaborative project between Dr. Jian Liu’s group at the University of British Columbia (UBC) and Atlas Power Generation, a Vancouver-based clean tech company, will develop a high-energy, safe, and low-cost supercapacitors technology by materials and electrolyte innovation. The interns will develop thick carbon electrode and prototype and analyze pouch-cell supercapacitors at an industry-relevant scale. Atlas Power Generation will scale up the manufacturing of the developed supercapacitor technology in BC.

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Faculty Supervisor:

Jian Liu

Student:

Partner:

Atlas Power Technologies

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Automated analysis of anatomical changes occurring in brain with Posttraumatic Stress Disorder

Trauma occurs in many forms at various instances of our daily life and some subtle ones go unnoticed until sever symptoms are observed. The affects on life vary from impairments to severe incapacitation. Current diagnosis methods are based on questionairs and subjective assessment with inherent variability associated to the doctors. In this internship we will be developing an automated diagnosis framework based on MRI imaging. The frist task will lead to automated image analysis pipeline providing accurate delineation of structures in the brain and provide their pertinent measurements. The next task will develop a framework to automatically identify data as being from patients or healthy individuals. This will then incorporate the current clinical paradigms and lead into an integrated framework. This pipeline and framework will then be further integrated into the current NeuroKinetics clinical assessment protocol.

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Faculty Supervisor:

Mirza Beg

Student:

Partner:

Neurokinetics Health Services (BC) Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Simon Fraser University

Program:

Accelerate

Optimizing Culturing Techniques for Small Intestine Microbiome Samples

The SIMBA (Small Intestine MicroBiome Aspiration) capsule is an ingestible capsule designed to collect samples from the small intestine. The safety and efficacy of this device have been demonstrated in healthy volunteers. The aim of this research and development project for the intern student is to develop culturing techniques that are optimized to better characterize the bacteria population in small intestine, first using aspirate samples collected from routine clinical endoscopic procedures and then through a clinical validation study.

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Faculty Supervisor:

Kathy McCoy;Christopher Andrews

Student:

Partner:

Nimble Science Ltd.

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights about abnormal tissues. At present the MRI kidney cancer analysis is a manual process therefore, automated faster and accurate method is required to segment kidneys in MRI scans to assist radiologists. The early detection and characterization of kidney cancer is necessary for clinicians to plan the medical treatment in better way. This research study will provide partner organization the automated process for kidney tumor detection using artificial intelligence, which will eliminate the biopsy process of kidney cancer detection in real life.

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Faculty Supervisor:

Eran Ukwatta

Student:

Partner:

A.I. VALI

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

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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.