Projets novateurs réalisés

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

29 670 projets achevés

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4990
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801
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663
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825
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95
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568
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Projets par catégorie

Ecological risk assessment of tire wear particles in water bodies in Interior British Columbia

Microplastic pollution is becoming an emerging environmental issue in developed countries. The tire wearing particles (TWP) have also been categorized as microplastic pollution. TWP size range from a few nanometers to several hundred micrometers and are emitted into the environment. Tire industry is now inclined towards increasing knowledge of TWP origin, mechanism, transmission, and fate in the environment along with their impacts on receiving water bodies. This study aims to identify commonly occurring TWPs and investigate their characteristics, exposure mechanism, and toxicities followed by ERA, to evaluate the impacts on aquatic environment. The project will facilitate in generating a reliable knowledgebase on physicochemical properties, fate and transport, and toxicities of TWP. This project will also increase awareness in identifying the knowledge gaps to perform more comprehensive studies on TWP impacts.

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Superviseur du corps professoral :

Rehan Sadiq;Kasun Hewage

Étudiant :

Partenaire :

Kal Tire

Discipline :

Engineering

Secteur :

Retail trade

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Unsupervised Anomaly detection using Deep Learning

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on 2D images to a 3D context, studying labeling performance as the dataset size grows. If successful, this work will assert the usefulness of DCNNs to provide a general modeling framework to integrate imaging with other clinical patient data into a predictive system that could help support clinical decisions and ultimately improve patient care.
The proposed research project fits within the partner’s scientific roadmap, which is to develop deep learning models suitable to processing clinical data that arises in a sequential fashion at the patient level (longitudinal data), wherein the set of available clinical modalities can be highly variable (heteromodality). The industrial partner has an existing team of full-time researchers dedicated to studying these questions; the intern will attack complementary questions with the help of the team.

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Superviseur du corps professoral :

Pascal Vincent

Étudiant :

Partenaire :

Imagia

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; Biotechnology

Université :

Université de Montréal

Programme :

Accelerate

Electric mobility in Canada: public discourse in British Columbia, Ontario, and Quebec

The overall objective for this project is to support the research of one master’s student who will help advance the research related to the social discourse of sustainable transportation and climate policy in Canada. In this field, START, in the School of Resource and Environmental Management at SFU, is one of the leading research teams in the country and Navius Research Incorporated is the leading Canadian consulting firm, providing support to governments and other stakeholders in the development and assessment of climate policy. The project focuses on assessing ZEV policy discourse in British Columbia, Ontario, and Quebec by analyzing newspaper coverage and data from a climate policy survey. This research aims to generate a better understanding of the narrative related to the introduction and implementation of zero-emission vehicles and their policy in unique Canadian regions. Comparing results from these three leading provinces will shed light on contrasting policy pathways and regional differences in the socio-politico acceptance of low-carbon technologies.

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Superviseur du corps professoral :

Jonn Axsen;Shane Gunster

Étudiant :

Partenaire :

Navius Research

Discipline :

Sociology

Secteur :

Transportation (excluding aerospace); Clean Technology; Sustainability & the Environment

Université :

Simon Fraser University

Programme :

Accelerate

Investigation of cybersecurity issues in using electric vehicle fleets with battery exchange infrastructure

Sustainable public transfer systems are getting a lot of attention, and many organizations are transforming their fleets into systems that rely on alternative fuels; the Electric Vehicle (EV) being most popular. The environmental, geopolitical and financial advantages of EV vehicles are well studied; however, security of these systems is not given full attention. The most common method of recharging EVs is to use exchange or recharge stations. Main components of a charging station include the main computing board, communication equipment connected to a central unit, RFID readers, and other electrical and power electronic components. Essentially, a computer is placed on the street, with potential access to the Grid and central infrastructure of the city. This research will investigate weak security points in hardware and electronic components that can provide adversaries with possible access to the primary network, and proposes a few alternative methods to be applied.

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Superviseur du corps professoral :

Mitra Mirhassani

Étudiant :

Partenaire :

Canadian Urban Transit Research and Innovation Consortium (ON)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

University of Windsor

Programme :

Accelerate

Advancing municipal natural asset management in engineering practice and beyond

Canadian local governments are seeking new strategies to deliver their core services in more financially and environmentally sustainable ways, including turning to infrastructure asset management as a key tool to manage infrastructure. Municipalities are increasingly recognizing that natural assets such as aquifers, forests, streams and foreshores can provide equivalent or better services to many engineered assets. Municipal natural asset management offers a sustainable solution to the multifaceted problems of supplying municipal services in the face of aging infrastructure, urban growth, and declining budgets. As this approach is being implemented in a growing number of Canadian municipalities, it is important to monitor results and outcomes in a rigorous manner to facilitate widespread adoption of municipal natural asset management. This project will address this by developing a framework for monitoring as well as result tracking, and report to stakeholders and the public on what is happening in key local governments with which MNAI is involved.

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Superviseur du corps professoral :

Susan Nesbit

Étudiant :

Partenaire :

Municipal Natural Assets Initiative

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Determining an effective management strategy for invasive exotic cattails (Typha spp.) in the Fraser River Estuary

Invasive species represent a major threat to global biodiversity, and are projected to increase in impact as globalization promotes the continued introduction of novel species. Proactive research that investigates the ecological, social, and economic threat of novel species prior to or early in their establishment is therefore critical to effective conservation planning. For our research we will be investigating the threat of cattails (Typha spp.) in the Fraser River Estuary (FRE). These species are problematic to wetlands throughout North America, and appear to be relatively recent arrivals to the FRE, as indicated by their limited distribution and lack of historical data. This investigation will include (1) identifying their current distributions using remote sensing, (2) predicting their long-term distributions through modelling, and (3) determining cost-effective removal methods using an eradication experiment. Results will inform conservation decisions and promote an appropriate and effective response to this species in the fragile and globally-significant FRE.

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Superviseur du corps professoral :

Tara Martin

Étudiant :

Partenaire :

Ducks Unlimited Canada (BC)

Discipline :

Earth science

Secteur :

Finance and Insurance; Other services (except public administration); Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Finding graph minors in the D-Wave hardware graph

D-Wave’s quantum computer is good at solving a specific type of problems known as Ising spin problems. However, in order to solve one of these spin problems, you must first solve another hard problem—embedding the spin problem on D-Wave’s quantum processor.
From the land of discrete mathematics, this embedding problem falls into a well studied branch of graph theory known as graph minors. Being that this problem is difficult in and of itself, D-Wave has developed a heuristic solution. This project’s main aim is to help improve this embedding process. This project will help improve D-Wave’s current heuristic solution as well as devise new approaches to the problem.

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Superviseur du corps professoral :

Matthew DeVos

Étudiant :

Partenaire :

D-Wave Systems Inc.

Discipline :

Mathematics

Secteur :

Technology; Quantum Science

Université :

Simon Fraser University

Programme :

Accelerate

Deep learning-based drug discovery and molecule generation

The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which are vastly different from many common, public dataset used in academic research on the aforementioned models. We would like to leverage heterogenous datasets, and learn molecule semantics representation with GAN, VAE, or other representational learning neural networks to facilitate efficient molecule generation.

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Superviseur du corps professoral :

Yoshua Bengio

Étudiant :

Partenaire :

Valence Discovery Inc

Discipline :

Computer science

Secteur :

Pharmaceuticals; Technology; Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Accelerate

A flexible non-enzymatic lactate sensor with long shelf life to detect anastomotic leaks post-surgery

Development of leaks in abdominal cavity following surgery cause acute complications that have a high mortality rate and lead to expensive corrective procedures. These leaks are mostly detected following the development of complications as currently there is no method for their early detection and hence timely intervention which can save lives is not possible. In this aspect, lactate is a crucial bio-marker that is excreted from the leak site prior to the development of a full breach and hence its monitoring will lead to early detection of such leaks. Under this project a lactate sensor will be developed that can be integrated with a catheter that has been developed by NERv technologies for monitoring of such leaks in the abdominal cavity following a surgical procedure. The developed lactate sensor will hence be a crucial component for monitoring the post-operative health of the patient and timely detection of such leaks. The development of this sensor will significantly enhance the ability of catheter made by NERv towards monitoring of such post-operative applications. The developed technology will also lead to filing of patent and hence contribute to the Canadian economy.

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Superviseur du corps professoral :

Vivek Maheshwari

Étudiant :

Partenaire :

FluidAI Medical

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology; Nanotechnology; Other

Université :

University of Waterloo

Programme :

Accelerate

Upgrading of heavy and high heteroatoms containing Hydrofaction™ Oil, to fuel blendstocks via Hydroprocessing and in-situ hydrogen production

The Project’s objective is to continue with development and optimization of the promising HTL biocrude upgrading approach that has been executed during the previous MITACS Converge/Accelerated project. The activities are going to be focus on in-situ hydrogen production to limit external cost of hydrogen and process optimization for the obtention of Jet and Marine fuel blend-stocks for transportation fuels. The main challenge in upgrading Hydrofaction™ Oil is not only oxygen removal and minimization of residue fraction (>550°C) but also elimination of phenols and maximization of in-situ hydrogen generation. The pathway of choice is the combination of hydrotreating with catalytic steam cracking/steam reforming steps. The upgraded oil should achieve low heteroatoms content, low total acid number and a maximum of 7% of residue fraction. Through the proposed Project, Dr. Pereira’s and Steeper Energy’s teams will expand expertise on upgrading biomass-derived hydrocarbons and potentially scale-up this competitive-driven process cost.

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Superviseur du corps professoral :

Pedro Pereira-Almao

Étudiant :

Partenaire :

Steeper Energy Canada Limited

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

3D Active SLAM for Mobile Mapping of the Interior of Floating Roof Fuel Tanks

Mapping of pipelines and tanks is the first step toward providing an inspection service. Until now, this has been a manual process that is very time and resource consuming. The research proposed would allow for an unmanned vehicle to map the area without the need for humans. It will result in the creation of a hardware and software platform that can be used to map an enclosed space efficiently and accurately. The approach taken will allow for upgradeability as new technology emerges. ROSEN Group is the partner organization for this group. They benefit by having a core procedure for their business automated. Without human involvement, the safety of the procedure is also improved.

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Superviseur du corps professoral :

Homayoun Najjaran

Étudiant :

Partenaire :

ROSEN

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia - Okanagan; University of Victoria

Programme :

Accelerate

First Nations Philanthropy Engagement Research Project

Post-secondary education, if community-led and projects-based, has the potential to transform education, food and housing policy, as well as build capacity locally in Brokenhead First Nation compared to two First Nations lacking road access. This partnership will explore optimal solutions to resolve development challenges through applied participatory research, community engagement, community development and the establishment of two rural Indigenous community foundations. By conducting participatory action research we will collaborate to leapfrog Indigenous development and community economic development from colonially imposed to self-determined and community-led Indigenous Foundations. Community s of programming and surveys of community foundation knowledge.

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Superviseur du corps professoral :

Shirley Thompson

Étudiant :

Partenaire :

The Winnipeg Foundation

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

University of Manitoba

Programme :

Accelerate

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