Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Discovery of microbial enzymes for biodegradation of plastic polymers

In an effort to reach zero waste in Canada by 2030, this work is dedicated to the discovery of microbes with enzymatic capabilities to biodegrade plastic. A library of microbes (bacteria and fungi) isolated from a range of marine environments will be screened for unique and novel plastic biodegrading activities. Preferred microbes will be selected for continued study and to develop novel enzymatic methods for depolymerization of plastic. The objective is to create a fully circular plastic economy where plastic waste can be recycled without a loss in quality and valorized into new products. The academic partner (UPEI), potential start-up (MultiGenZyme), and local economy (PEI) could all benefit from this technological advancement, but the true value lies in the positive environmental impact of reducing plastic pollution.

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Superviseur du corps professoral :

Russell G. Kerr

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Clean Technology; Life Sciences (not health); Sustainability & the Environment

Université :

University of Prince Edward Island

Programme :

Accelerate

Formalisation d’arguments de sécurité

Le présent projet appartient au domaine de la représentation des connaissances et constitue un premier pas vers le développement d’outils informatiques en support au développement de dossiers de sécurité et d’audits de conformité reliés à la sécurité des TI. Il porte plus particulièrement sur la représentation formelle d’interprétations de requis de conformité reliés à la sécurité des TI dans des contextes vulnérables aux cyberattaques. Un tel environnement technologique permettrait, entre autres, de présenter les résultats d’analyses et d’audits de façon plus claire et uniforme, de formaliser des méthodologies liées aux audits et de faciliter la communication entre les différents acteurs du monde de la sécurité.

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Superviseur du corps professoral :

Jules Desharnais

Étudiant :

Partenaire :

Groupe de développement ICRTECH inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Research on the Impacts of Automated Speed Enforcement (ASE) in Rwanda to Develop a Guide for African Countries (GRSF CFP FY21)

The proposed consultancy services are going to conduct research related to the introduction of Automated Speed Enforcement (ASE) tools in a low-income African country (based on the Rwandan case study). Quantifying the effect of installing enforcement cameras on the number of damages, injuries, fatality collisions, and traffic offenses like speeding, crossing red lights, and talking with phones can be captured in this study. In other words, the safety of areas with installed camera can be evaluated by comparing them to control sites with no installed camera. Furthermore, this project aims to consider the evaluation of characteristics surrounding collisions like causes of accidents, time and date of collisions, etc. Also, changes in the trend and seasonality of collisions due to installing enforcement cameras can be known over time in different districts of Rwanda. This research intervention will result in broadly transferable guidelines for deployment in other low- and middle-income countries.

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Superviseur du corps professoral :

Martin Lavallière

Étudiant :

Partenaire :

Traffic Injury Research Foundation

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Biodegradable, Sustainable Novel Lab Products

The special characteristics of plastics have led to them taking an essential role in society. Unfortunately, plastic consumption, production and disposal significantly impact the community. The failure of research labs to better understand the actual costs of lab plastic wastes has led to poor management of plastic materials and growing social, ecological and economic costs for countries. BioLabMate will design the novel formulation from seaweed to make the research lab plastic more eco-friendly and biodegradable. The sustainable use of seaweed-derived biopolymers is crucial to replace plasticizers with biodegradable materials and thus preserve the environment. BioLabMate” is highly focused on creating biodegradable lab products for research laboratories.

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Superviseur du corps professoral :

Lesley Anne James

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Environmental Science and Technology; Clean Technology; Sustainability & the Environment

Université :

Memorial University of Newfoundland

Programme :

Accelerate

National Marketing Project Manager

PSR Canada is a grassroots volunteer professional organization that provides education to practitioners in the field of mental health and addiction. Using its Competencies of Practice for Canadian Recovery-Oriented Psychosocial Rehabilitation Practitioners, a document compiled through the Scientific Committee of the organization, it offers a national certification program for people who want to demonstrate their skills in practising recovery-oriented services. While PSR Canada has developed a quality certification program detailing mental health recovery strategies and educational practices, it has so far struggled to market itself to achieve its mission to create wide-felt societal good. By leveraging the intern’s business and marketing expertise, PSR Canada would be able to maximize its opportunities with national partners such as the Mental Health Commission of Canada and other national organizations dedicated to mental health and addiction issues. The organization would also be able to better communicate its value proposition to its target market, increasing its certification and resources’ reach to help more people along their wellness journey.

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Superviseur du corps professoral :

Sandy Staples

Étudiant :

Partenaire :

Psychosocial Rehabilitation (PSR) Canada

Discipline :

Business

Secteur :

Education; Information and Communications Technology; Social Innovation

Université :

Queen's University

Programme :

Business Strategy Internship

DEI Intern via Mitacs/Queens Program

The internship will be to develop a hiring framework for Liberty Mutual Canada, grounded in academic research and best practices to mitigate implicit bias.

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Superviseur du corps professoral :

Sandy Staples

Étudiant :

Partenaire :

Liberty Mutual Canada

Discipline :

Business

Secteur :

Finance and Insurance

Université :

Queen's University

Programme :

Business Strategy Internship

L2M MITACS – Improving the Storage Stability of Research Grade Proteins using Super- Hydrophilic Sponges

The proposed research project seeks to explore the application of foam-like inserts to improve the shelf life of commonly used proteins. Many commercial proteins are used in a variety of applications such as food production, pharmaceuticals, and scientific research. These proteins must be stored at sub-zero temperatures as they are prone to degradation at higher temperatures. Protein degradation during storage and transportation results in significant losses to the industries where these proteins are used. Our solution is to use foam-like inserts to stabilize these commercially-relevant proteins. We propose to develop a variety of prototypes and to test them on proteins used in academic research labs. The benefits to the partner organization would be in kickstarting the successful launch of a potentially profitable technology.

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Superviseur du corps professoral :

Marya Ahmed

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Nanotechnology; Biotechnology

Université :

University of Prince Edward Island

Programme :

Accelerate

Modelling wind farm induction using high/low fidelity tools

Today’s wind energy prediction procedures ignore the flow deceleration, also known as blockage, caused by the wind farm on the
approaching wind, resulting in a power overprediction bias that pervades the entire farm. Numerical large eddy simulations (LES)
of wind farms immersed in atmospheric boundary layers (ABL) will be used to study the phenomenon and derive a fastengineering
blockage model, capable of estimating blockage effects as a function of wind farm properties, ABL thermal stability
and complex terrain morphology. Such model will be coupled with a reduced order turbine wake model to predict the entire wind
farm flow. Besides, accurately capturing gravity waves using LES is not straightforward, as gravity waves physics involves spatial
scales much greater than the size of the wind farm or of the turbulence scales. Consequently, the project also aims at defining
standards and producing benchmarks for such computationally intense simulations.

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Superviseur du corps professoral :

Joshua Brinkerhoff

Étudiant :

Partenaire :

Delft University of Technology

Discipline :

Engineering

Secteur :

Education

Université :

The University of British Columbia - Okanagan

Programme :

Globalink Research Award

Creating AR computer vision applications for children’s toys

The objective of this project is to explore the uses of Augmented Reality (AR), a technology that superimposes computer-generated animations, on a mobile user’s view of the real world, in the context of children’s gaming applications. These applications will allow children to experience a game as being directly tied to reality. Specifically, using for example an electronic tablet such as the iPad, children will interact with real world toys through the addition of virtual layers presenting various digital contents such as images or animations. It is therefore required to create a computer vision application that can detect in real-time 3D objects in a reliable way, from any point of view and at different scales. Once detected, the system will estimate the position of the camera with respect to the object and then will be able to place virtual content attached to the detected object.

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Superviseur du corps professoral :

Robert Laganiere

Étudiant :

Partenaire :

HabitatSeven Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

Sound insulation performance of an innovative mass timber floor system

Acoustic comfort in all types of buildings is essential to our daily life and work. Mass timber buildings provide us
the solution to construct green buildings with much less carbon footprints compared with concrete and steel
buildings. This project will investigate the sound insulation performance of an innovative mass timber floor system
through experimental testing. The outcomes from this research will provide data to assist designers both
sustainable and quiet wood buildings that everyone can enjoy living and working in.

Voir la description complète du projet
Superviseur du corps professoral :

Jianhui Zhou

Étudiant :

Partenaire :

Intelligent City, Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Slope Movement Prediction of Open-pit Mine Using Machine Learning and Field Data

In BC open pit porphyry mines, pit wall deformation rate has been closely monitored to evaluate the stability of open pits and determine proper operational response. This research aims to improve our understanding towards the deformation behaviours of pit walls considering both the slope characteristics and external influence factors. The project will collect a large dataset of pit wall displacements measured by robotic total stations and slope stability radars in Gibraltar mine as well as targeted pit walls’ geological conditions (e.g. rock type/strength) and operation parameters (e.g. blasting parameters, mining equipment/rate, and groundwater). By incorporating a machine learning method with a slope deformation function, a prediction model will be developed to predict the displacement of open pit walls subjected to external factors, and mostly importantly, identify their deformation stage for proper mine operation responses.

Voir la description complète du projet
Superviseur du corps professoral :

Wenbo Zheng

Étudiant :

Partenaire :

Taseko | Gibraltar Mines Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

University of Northern British Columbia

Programme :

Accelerate

Testing, modeling, and simulation of a clean technology for converting forest residues to syngas and renewable natural gas

This proposed project will support our ongoing efforts in developing a novel two-stage fluidized bed gasifier for converting low-cost biomass residues to renewable natural gas in British Columbia to help the BC industry to meet the 2030 decarbonization target. Specifically, we will test and validate a new design of gasification reactor for producing low-tar syngas, verify a bauxite residue (f.k.a., red mud) derived catalyst for the removal of tar from gasification syngas to yield clean syngas, and evaluate and improve the commercial methanation catalyst for converting clean syngas to biomethane. The clean syngas can be directly used for displacing natural gas for industrial lime kiln operations, and the biomethane can be blended into the existing natural gas lines to lower the natural gas carbon content. Over the past 4 years, we have commissioned a pilot plant at UBC. In the proposed project we will carry out extensive tests to validate the new technology by generate performance data and develop a model to assist the scale-up, design and demonstration/commercialization of this new renewable energy technology using abundantly available forest residues in BC.

Voir la description complète du projet
Superviseur du corps professoral :

Xiaotao Tony Bi;Naoko Ellis;Kevin Smith

Étudiant :

Partenaire :

FortisBC Energy Inc

Discipline :

Earth science

Secteur :

Utilities

Université :

The University of British Columbia

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.