Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

ISR Transit

L’objectif est de chercher et évaluer des données afin d’aider à déterminer la manière dont la technologie devrait interagir avec les utilisateurs. Le but est de déterminer quel est le meilleur moyen de procéder dans un projet de ville intelligente. La recherche consiste à trouver les initiatives de villes intelligentes dans le monde entier afin de comprendre ce qui est actuellement disponible. Je serai également responsable de la collecte de diverses données issues de ces initiatives, telles que les types de capteurs utilisés, le temps de déploiement et le type de données collectées. Aussi, je devrai examiner les initiatives qui ont échoué afin de déterminer les raisons de leur échec. Finalement, je devrais présenter mes recommandations. Quelle ville est la plus intelligente au monde et comment a-t-elle atteint la première place? Quelle est la meilleure manière d’introduire l’idée d’une ville intelligente aux usagers? Comment la perception des gens peut affecter un projet de ville intelligente?

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

ISR Transit

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Business Strategy Internship

Marketing Strategy for Online Peer-to-Peer Community for Rehabilitation Health Professionals

Development of a marketing strategy for an online peer-to-peer community platform to connect rehabilitation health professionals, which will help the partner organization assess whether this is an opportunity to focus on.

Voir la description complète du projet
Superviseur du corps professoral :

Yolande Chan

Étudiant :

Partenaire :

Synergiq Solutions

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Business Strategy Internship

Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the reconstruction of molecular wavefunctions using data obtained from qubit-based quantum simulators, such as superconducting circuits or trapped ions. Such simulators have recently demonstrated the preparation of ground-state wavefunctions for simple molecules. Their measurement output can be used to train generative models, which have been shown to significantly facilitate the calculation of physical observables. Our strategy will begin by finding novel mappings from the fermionic Hamiltonians of the original molecules to qubit Hamiltonians amenable for reconstruction with two generative models:, the restricted Boltzmann machine (RBM) and the recurrent
neural network (RNN). Together with Professor Melko, the MITACS postdoc (Dmitri Iouchtchenko) will lead the research into these generative models, and develop the machine learning technology into a set of open source software libraries. In partnership with the team at Zapata led by Alejandro Perdomo-Ortiz, these libraries will be deployed as part of the Orquestra Platform.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Melko

Étudiant :

Partenaire :

Zapata Canada

Discipline :

Physics

Secteur :

Information and Communications Technology; Pharmaceuticals; Advanced Manufacturing; Quantum Science

Université :

University of Waterloo

Programme :

Elevate

Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the reconstruction of molecular wavefunctions using data obtained from qubit-based quantum simulators, such as superconducting circuits or trapped ions. Such simulators have recently demonstrated the preparation of ground-state wavefunctions for simple molecules. Their measurement output can be used to train generative models, which have been shown to significantly facilitate the calculation of physical observables. Our strategy will begin by finding novel mappings from the fermionic Hamiltonians of the original molecules to qubit Hamiltonians amenable for reconstruction with two generative models:, the restricted Boltzmann machine (RBM) and the recurrent
neural network (RNN). Together with Professor Melko, the MITACS postdoc (Dmitri Iouchtchenko) will lead the research into these generative models, and develop the machine learning technology into a set of open source software libraries. In partnership with the team at Zapata led by Alejandro Perdomo-Ortiz, these libraries will be deployed as part of the Orquestra Platform.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Melko

Étudiant :

Partenaire :

Zapata Canada

Discipline :

Physics

Secteur :

Information and Communications Technology; Pharmaceuticals; Advanced Manufacturing; Quantum Science

Université :

University of Waterloo

Programme :

Elevate

Design and simulation of low cost RadioFrequency Identification tags based uponGraphene interconnections

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the
shopping experience. Soon these lines could disappear when te ubiquitous universal product code
barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags
are intelligent barcodes that can talk to a networked system to track every product that you put in your
shopping cart. In this project, Graphene, the wonder material of the century, will be integrated into
RFID devices to increase its reliability and reduce its product cost.

Voir la description complète du projet
Superviseur du corps professoral :

Denis Giannacopoulos

Étudiant :

Partenaire :

NanoXplore Inc

Discipline :

Engineering

Secteur :

Information and Communications Technology

Université :

McGill University

Programme :

Accelerate

Understanding the Role of Ex Situ Conservation to Enhance Public Understanding, Awareness, and Support for Biodiversity – Year two

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher and the partner organization collaborate in all four stages of the research project. This project is mutually beneficial for the researcher and the partner organization. The researcher will gain additional skills and networking opportunities as presented through the research project and the Mitacs Elevate training. This training and expertise can then be shared with the Toronto Zoo. This will be achieved through the collaborative research process, and through the workshops, webinars and training that the researcher will provide as part of the outcomes for this project. This will help ensure that the Toronto Zoo will benefit in an ongoing way from the sharing of Dr. Bueddefeld’s expertise in social science research and project design. This funding will support the production of innovative research dissemination projects such as the proposed podcast and research video – in order to share these research findings beyond traditional academic contexts.

Voir la description complète du projet
Superviseur du corps professoral :

Chris Lemieux

Étudiant :

Partenaire :

Toronto Zoo

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation; Other services (except public administration)

Université :

Wilfrid Laurier University

Programme :

Elevate

Understanding the Role of Ex Situ Conservation to Enhance Public Understanding, Awareness, and Support for Biodiversity

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher and the partner organization collaborate in all four stages of the research project. This project is mutually beneficial for the researcher and the partner organization. The researcher will gain additional skills and networking opportunities as presented through the research project and the Mitacs Elevate training. This training and expertise can then be shared with the Toronto Zoo. This will be achieved through the collaborative research process, and through the workshops, webinars and training that the researcher will provide as part of the outcomes for this project. This will help ensure that the Toronto Zoo will benefit in an ongoing way from the sharing of Dr. Bueddefeld’s expertise in social science research and project design. This funding will support the production of innovative research dissemination projects such as the proposed podcast and research video – in order to share these research findings beyond traditional academic contexts.

Voir la description complète du projet
Superviseur du corps professoral :

Chris Lemieux

Étudiant :

Partenaire :

Toronto Zoo

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation; Other services (except public administration)

Université :

Wilfrid Laurier University

Programme :

Elevate

Evaluation of the effects of pipe-soil interaction on the stress based design of buried pipelines using advanced numerical modeling – Year two

Thermal stress analysis of the buried pipeline is an integral part of pipeline design and integrity analysis. Pipeline design code (e.g. CSA Z662) provides guidance on the thermal stress analysis of restrained and unrestrained pipe sections. However, a buried pipeline bend is more likely to be partially restrained, as the pipe is free to expand longitudinally, but the expansion is restrained by the pipe-soil interaction. No clear guidance is provided in the design code for a partially restrained condition. Besides, circumferential stresses induced by thermal expansion is not considered in the design code. One of the major challenges in the thermal stress analysis of buried pipelines is modeling the soil as the engineering properties of soil depend on a wide range of factors. The complex deformation characteristics of the buried pipeline in response to the thermal expansion induced in-plane and out-of-plane bending moments are significantly affected by pipe-soil interaction. The proposed research will investigate the gaps in the design code through advanced finite element analysis. The deliverables of this project will not only help industries, e.g. Northern Crescent, to improve design and integrity assessment of buried pipelines but also the outcomes can be useful to update the design codes.

Voir la description complète du projet
Superviseur du corps professoral :

Pooneh Maghoul

Étudiant :

Partenaire :

Northern Crescent

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Elevate

Evaluation of the effects of pipe-soil interaction on the stress based design of buried pipelines using advanced numerical modeling

Thermal stress analysis of the buried pipeline is an integral part of pipeline design and integrity analysis. Pipeline design code (e.g. CSA Z662) provides guidance on the thermal stress analysis of restrained and unrestrained pipe sections. However, a buried pipeline bend is more likely to be partially restrained, as the pipe is free to expand longitudinally, but the expansion is restrained by the pipe-soil interaction. No clear guidance is provided in the design code for a partially restrained condition. Besides, circumferential stresses induced by thermal expansion is not considered in the design code. One of the major challenges in the thermal stress analysis of buried pipelines is modeling the soil as the engineering properties of soil depend on a wide range of factors. The complex deformation characteristics of the buried pipeline in response to the thermal expansion induced in-plane and out-of-plane bending moments are significantly affected by pipe-soil interaction. The proposed research will investigate the gaps in the design code through advanced finite element analysis. The deliverables of this project will not only help industries, e.g. Northern Crescent, to improve design and integrity assessment of buried pipelines but also the outcomes can be useful to update the design codes.

Voir la description complète du projet
Superviseur du corps professoral :

Pooneh Maghoul

Étudiant :

Partenaire :

Northern Crescent

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Elevate

Next generation content development andmanagement

As a globally recognized credit service provider, DBRS plans to implement a new project
called next generation content development and management. DBRS expects to expand its current
online service offering to the users by launching a series of mobile apps with sophisticated analytical
tools.
The advent of these applications will fundamentally create an interactive environment which
allows users to dictate the way the information will be utilized. DBRS (partner organization) will test
the market appetite for these new products and determining what commercial model will work best for
DBRS and the user community. These applications will further enable DBRS to fulfill its promise of
providing “insight beyond the rating” and expand the rating business globally.

Voir la description complète du projet
Superviseur du corps professoral :

Melanie Cao

Étudiant :

Partenaire :

Dominion Bond Rating Service Ltd

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

York University

Programme :

Accelerate

Measuring Charity Impact Value Using Social Return on Investment: The Value of Implementing Experiential Sustainable Development Goal Learning into Children’s Activities

Scouts Canada is adapting programing to align more closely with the United Nations Sustainable Development Goals (SDGs). This research project will measure the amount of change in SDG awareness and behaviours of the participants and volunteers of the program. These outcomes will be monetized into a Social Return on Investment that compares the value of the outcomes to the input costs.
All organizations around the globe are being called to help achieve the global SDG targets. Through this research project, Scouts Canada will obtain: a better understanding of if new SDG programming achieves desired outcomes and what activities contribute most to achieving the outcomes; financial valuation estimates of the outcomes; comparisons of the financial valuations of outcomes to the input costs in a summary SROI metric; and measures that inform scouting parents and funders of scout programs.

Voir la description complète du projet
Superviseur du corps professoral :

Irene Herremans

Étudiant :

Partenaire :

Scouts Canada

Discipline :

Business

Secteur :

Education

Université :

University of Calgary

Programme :

Accelerate

Fast Catalytic Pyrolysis of Sewage Sludge for Producing High-Grade Bio-Oil and Effective Sorbent for Capturing Emerging Contaminants – Year two

Large amounts of sewage sludge (SS) have been generated yearly by municipal wastewater treatment plants (WWPs), which entail huge operational expenses and advanced treatments, and the final disposal of biosolids in agricultural applications is reduced because of the potential environmental risks (e.g., heavy metals and emerging contaminants) associated with biosolids applications. The increased use of certain medications (e.g., antibiotics, disinfectants) and personal care products (e.g., sanitizers, soaps) caused by the COVID-19 pandemic, will certainly increase the concentration of emerging contaminants in wastewater. Converting SS to effective sorbent and improving the quality of bio-oil, the by-product of the process, achieving environmental sustainability. This proposed research focuses on our novel integrated approach to co-produce effective sorbent (sludge-based activated carbon “SBAC”) and high-quality bio-oil through catalytic fast pyrolysis of sewage sludge. The cost-effectiveness and environmental impacts of the integrated system will be assessed through life cycle assessment (LCA) and life cycle costing (LCC) analyses. Effectiveness of SBACs will be tested using wastewater and stormwater. Immediate benefit is to enhance the quality of urban water impacted by the pandemic COVID-19. This work has significant contribution in protecting our environment and reduce the dependence on fossil fuels by utilizing bio-oil from this process.

Voir la description complète du projet
Superviseur du corps professoral :

Loretta Li

Étudiant :

Partenaire :

Kerr Wood Leidal Associates Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

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