Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Growing Healthy Bodies: The development of a healthy body score-card for Canadian children and youth Part 2

This project represents the second step in the development of a “Healthy Body Scorecard” which will allow for more
comprehensive and holistic approach to measurement and classification of health in children. This particular
project will involve a questionnaire study designed to obtain expert opinion on the development of the scorecard
as well as a focus group of experts to further guide the development of the scorecard. This project as a whole
will be of significant benefit to the Sandbox Project and McDonalds Restaurants of Canada, the industry partner
for this research. The Sandbox Project is a not for profit organization that is designed to improve the health of
Canadian children. The Sandbox Project brings together industry partners, government, academics, policy
makers and community members. The industrial partners involved include leading companies such as
McDonalds Canada, Telus, Microsoft, General Mills among others. This project directly addresses the stated
goals of the Growing Healthy Bodies group within the Sandbox…TOBECONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Amy McPherson

Étudiant :

Partenaire :

McDonalds Restaurants of Canada Ltd

Discipline :

Life Sciences

Secteur :

Retail trade

Université :

University of Toronto

Programme :

Accelerate

Data Visualization of GIS Data at Scale

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners is often not a straightforward task which often leads to obtaining permission being bypassed. Some landowners do not want hunters, but do not mind artists or photographers accessing their land. Western Heritage is building the SaskLander Platform that provides an easy to use interface for landowners and those who would seek permission to access that land. Saskatchewan Polytechnic will be working with Western Heritage to provide a scalable visualization of GIS data that offers high level detail that can be drilled down to every piece of land across multiple provinces.

Voir la description complète du projet
Superviseur du corps professoral :

Susan Blum;Terry Peckham

Étudiant :

Partenaire :

Western Heritage Services Inc.

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Saskatchewan Polytechnic

Programme :

Accelerate

Real-time surrogate safety analysis solution using Lidar technology powered by artificial intelligence

The safety of intersections, interchanges, and other traffic facilities is most often assessed by tracking and analyzing police-reported motor vehicle crashes over time. Given the infrequent and random nature of crashes, this process is slow to reveal the need for remediation of either the roadway design or the flow-control strategy. This process is also not applicable to assess the safety of roadway designs that have yet to be built or flow-control strategies that have yet to be applied in the field. In this project, we are building an automated surrogate safety analysis platform that uses real-time traffic data generated by BCT Lidar-based traffic monitoring system and converts them into safety metrics such as near-misses, time to collision, etc. These metrics will be available to the city planners using a dashboard in real-time. This project speeds up the development of BCT’s SaaS platform that generated a new stream of revenue along with its standalone sensor sale. Additionally, this analysis will automate the process that currently BCT is doing manually to generate safety reports for its customer.

Voir la description complète du projet
Superviseur du corps professoral :

Yann-Gael Gueheneuc

Étudiant :

Partenaire :

Blue City Technology

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Broken Promises: Museum Exhibit Development during the Covid-19 Pandemic

Broken Promises is the capstone output of Landscapes of Injustice, a multi-year, intersectoral project exploring the dispossession of Japanese Canadians during the 1940s. The project illustrates the violation of human and civil rights at a time of perceived insecurity; measures taken in the name of national defence; the enduring harm of mass displacement, and loss of home and property; and human resilience. The traveling exhibit is one of the major research outputs of the project. Adapting to new requirements for museums during Covid-19, this research will enable the launch of the LOI museum exhibit at the Nikkei Museum in September 2020, by developing interactive displays in line with new museum guidelines, and innovative digital resources that extend the reach of our exhibit. Working with the Nikkei National Museum, and University of Victoria, this project advances knowledge on this important history, and represents new research on museums adapting to Covid-19.

Voir la description complète du projet
Superviseur du corps professoral :

Jordan Stanger-Ross

Étudiant :

Partenaire :

Nikkei National Museum & Cultural Centre

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

University of Victoria

Programme :

Accelerate

Design and simulation of robotic assembly cell for mass timber offsite construction facility – Phase 1

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale robotic cell for mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in offsite construction facilities. For this, we plan on researching two key areas: 1) how to transfer the necessary information from BIM models (most popular software platform for building design and development) to robotic programming environments; and 2) design the necessary robotic cells, tools, and support systems to create a fully operational assembly line in a simulated environment. With both outputs, this research will provide a clear understanding on the capacity of robotic systems for mass timber building construction.

Voir la description complète du projet
Superviseur du corps professoral :

Rafiq Ahmad

Étudiant :

Partenaire :

Deformance

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Towards an Elastic and Reliable Cloud Resource Management

This work is a holistic automatic methodology for cloud resource management system, which is a corner stone to build any cloud system. Cloud players rely on this to reduce management effort and cloud running cost, by enabling dynamic service access to cloud clients with cheapest price for customer, and high revenue for cloud providers. Customer requirements must be achieved based on their service level agreement like availability of the service. Now a days with new lifestyle conditions due to the pandemic (covid19), accessing online resources and performing tasks virtually increase the demands on cloud resources and services in different levels. These requirements must be dynamically handled by cloud management system, the way to provision resources keeping safe access to data, service availability and service performance under user expectations.

Voir la description complète du projet
Superviseur du corps professoral :

Anjali Agarwal

Étudiant :

Partenaire :

Cistech Limited

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Evaluation of terminal complement cascade inhibitors using in vitro and in vivo models of age-related macular degeneration and in Alzheimer’s Disease

Age-related macular degeneration (AMD) is a leading cause of blindness that is estimated to affect over 6 million people globally. There are currently no approved treatments for dry AMD, the most common form of the disease. Various lines of inquiry suggest that dysregulation of a part of the innate immune system called complement plays a key role in the progression of AMD. This research project aims to (a) further explore the underlying causes of the disease, and (b) evaluate potential treatments in pre-clinical studies. Interns will conduct laboratory experiments using model systems and investigational drugs. Research results will help guide the partner organization’s drug development program.

Voir la description complète du projet
Superviseur du corps professoral :

Joanne Matsubara

Étudiant :

Partenaire :

Paragon Ventures

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Accelerated development of a recombinant protein vaccine against COVID-19 by integrating the SARS-CoV-2 S-protein antigen with a new delivery system

The objective of this proposal is to develop a new candidate recombinant protein vaccine for the new coronavirus disease 2019 (COVID-19) based on a novel protein delivery and adjuvant technology, iPDT. If successful, this research will advance another COVID-19 vaccine candidate(s) to the pipeline toward clinical use. The causative agent of COVID-19 is SARS coronavirus (CoV)-2. The spike (S) protein of CoV protrudes from and covers the surface of virus particles and interacts with host cell to initiate infection. We will test if the S protein derivatives induce protective antibody responses when delivered in conjunction with iPTD. In prior studies, we observed that a protein modified by iPTD elicited an earlier and stronger antibody response in mice compared to the commonly used adjuvant, alum. We are expecting that the SARS-CoV-2 S protein with iPTD delivery system can be adopted as a strategy to quickly generate a vaccine for COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Masahiro Niikura

Étudiant :

Partenaire :

iProgen Biotech Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Validation of the Rootd App for Reducing Anxiety and Panic Attacks

During the COVID-19 pandemic, it’s become quite apparent that mental health needs to be prioritized. Due to the demands of social isolation, getting adequate mental health support can be difficult. However, the mobile application Rootd provides a low-cost and large-scale solution to this problem, as it can help the average person deal with increased anxiety and panic attacks. In this proposed work, we will undertake a scientific validation of the Rootd app through the use of methods from psychology and neuroscience. That is, we will track participants anxiety levels and panic attacks rates as user use the app. As well, we will collect people’s brain waves as they go through an 8-week cycle of using the app to provide further objective measures of the app’s effectiveness. We hope that this work will provide one possible solution to the mental health crisis that arose following COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Olave Krigolson

Étudiant :

Partenaire :

Rootd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

How can hormone monitoring can improve women’s health?

Eli Health is developing a novel biosensing device to monitor sex hormones in saliva and a mobile application that leverages machine learning to interpret them. The mission of the organization is to enable women to take control of their health across their lives. It will first commercialize the device for fertility and contraception applications. In collaboration with Seasy Huang and academic supervisor Dr. Charlotte Usselman, this research explores other use cases where of hormone monitoring can have a positive impact on women’s health.

Voir la description complète du projet
Superviseur du corps professoral :

Charlotte Usselman

Étudiant :

Partenaire :

Eli Health

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

AI-enhanced Automated and Large-scale Real Estate Valuation

House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have an accurate property value assessment model. Then, a spatial-temporal prediction model based on deep learning is designed for future house price forecasting. The intern involved in this project encounters a real-world project with plenty of practical instructive experiences. Additionally, he can attain a priceless experience of working on industry research. The partnering academic institutions will gain valuable insight into new and accurate house price modeling and prediction, which is one of the most trending real estate problems.

Voir la description complète du projet
Superviseur du corps professoral :

Zheng Liu

Étudiant :

Partenaire :

Offerland

Discipline :

Engineering

Secteur :

Information and cultural industries; Real estate and rental and leasing

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Identifying Dominant Anaerobic Microorganismsfor Degradation of Benzene

Contamination of soils and groundwater with gasoline often results in the development of anaerobic
zones. Benzene is particularly persistent under anaerobic conditions even in the enhanced anaerobic
biodegradation (EAB) process. Degradation of benzene has been demonstrated under nitratereducing
condition, and sulphate-reducing condition. However, information of dominant indigenous
species within the microorganisms for degrading benzene is still limited. In order to identify the target
bacteria, a novel approach is required, which requires less biomass and provides direct evidence for
benzene incorporation. Enrichment of benzene-degrading microorganisms with [13C] benzene and
nutrients implementation is a prerequisite for target bacteria identification. Dominant bacteria identities
will be revealed by pyrosequencing. Benzene incorporation by the isolated bacteria will be
demonstrated by SR-FTIR spectromicroscopy analysis of [13C] benzene. In this manner it is believed
to provide direct evidence for benzene incorporation by dominant indigenous bacteria, and furnish
useful information about their structure, function, and dynamics….

Voir la description complète du projet
Superviseur du corps professoral :

Jian Peng

Étudiant :

Partenaire :

Stantec Consulting (Saskatoon, SK)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.