Projets novateurs réalisés

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

30156 projets achevés

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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Synthesis of Cell-Permeable Copper Chelators for Detecting, Sensing, and Therapy

For this new international collaboration we plan to develop cell-permeable metal binding agents as therapeutics to treat Wilson’s disease. Wilson’s disease is a genetic disorder that results in the build-up of excess copper in the liver, leading to significant toxicity. By drawing on the expertise of the research teams in Canada and Brazil we plan to synthesize new agents that selectively target excess Cu in the liver, and then test the effectiveness of these compounds in a cell model of the disease. Our eventual goal is to develop drug candidates that effect the removal and normalization of copper levels in the liver.

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Superviseur du corps professoral :

Tim Storr

Étudiant :

Partenaire :

Universidade Federal de Minas Gerais

Discipline :

Physics

Secteur :

Education

Université :

Simon Fraser University

Programme :

Globalink Research Award

Designing a Novel Plastic Feeding System for Eco-Friendly Pavement (Phase 1)

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Superviseur du corps professoral :

Pouria Tavakkoli

Étudiant :

Partenaire :

Last20 Inc.

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

Lambton College of Applied Arts and Technology

Programme :

Accelerate

HandCOMM: AI Solution for Crane & Workers’ Safety

The construction industry heavily relies on mobile cranes for the off-site modular construction, emphasizing safety in operations. Despite standardized hand signals, inadequate and interrupted communications between mobile crane signalmen on the ground and crane operators pose significant risks of accidents, especially during blind lifts or lifts in severe weather. This research project aims to develop a prototype addressing communication problems between crane operators and signalmen in mobile crane operations by designing robust embedded systems in the glove and helmet and a live data receiver module. These embedded systems, equipped with flex sensors, Inertial Measurement Units (IMUs), cameras, and data transfer capabilities, enhance the recognition of hand gestures and facilitate real-time data transmission between modules. Two techniques, sensors-based and computer vision (CV) based approaches, are used to recognize hand gestures, which allow cross-validated and precise identification of hand signals. The crane operator’s cabin’s data receiver incorporates auditory and visual modalities to convey the information. The application of the prototype is expected to improve on-site communication efficiency and safety during blind lifts of crane operations. The anticipated outcomes have the potential to revolutionize communication protocols in the construction industry, ensuring safer and more efficient practices.

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Superviseur du corps professoral :

Xinming Li;Jie Han

Étudiant :

Partenaire :

SensiImage Technologies Ltd.

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Alberta

Programme :

Accelerate

Leveraging Machine Learning in Scalability of Precision Agriculture and Variable Rate Technologies

This project aims to enhance smart farming by improving the scalability and accuracy of two commercial products, SWAT CAM and SWAT MAPS, owned by Croptimistic Technologies Inc. These products are used for precision mapping on over three million acres of land across four countries. The project will utilize machine learning to identify crop parameters such as plant count and row counts, which can improve future agronomic recommendations. Additionally, it will enhance the accuracy of electrical conductivity (EC) maps by detecting and correcting erroneous data, often compromised by external factors. This initiative promises to extend the knowledge base in agricultural technology and machine learning applications, aligning with the interests of both the academic community and industry partners.

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Superviseur du corps professoral :

Aitazaz Farooque

Étudiant :

Partenaire :

Croptimistic Technology Inc

Discipline :

Engineering

Secteur :

Agriculture; Professional, scientific and technical services

Université :

University of Prince Edward Island

Programme :

Accelerate

Digital Trust Test Bench

Digital Trust Test Bench (DTT) is a quality assurance tool for digital credentials, allowing governments and organizations to test digital credentials to ensure compatibility with other platforms.
The cloud-based platform enables interoperability testing among technology components and solutions within the digital trust ecosystem. DTT is designed to be an all-in-one platform for digital trust ecosystem participants to achieve and maintain interoperability through early and continuous testing, regardless of their role, process, or technology.
Currently, DTT enables the testing of digital wallets against the Hyperledger Aries Agent Test Harness without requiring the user to have software development or DevOps expertise. The user experience consists of three key steps: test configuration, test execution, and report generation.
IDLab continuously engages the community to extend and improve upon the capabilities of the platform to meet user needs. This project focuses on two desired outcomes: 1) Increase the value and benefits for users by establishing the second iteration of the user experience, and 2) Expand the scope of supported testing scenarios by establishing a standardized integration approach for test subjects and test modules with the platform.
Interns will leverage Design Thinking to explore the research problem and find potential ways to achieve the desired outcomes.

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Superviseur du corps professoral :

Oliver Schneider;Nafiseh Kahani

Étudiant :

Partenaire :

DTLab

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Carleton University; University of Waterloo

Programme :

Accelerate

Studying Cancer and SARS-CoV-2 Co-Infection with Molecular Imaging

Positron emission tomography (PET) is a common cancer imaging technique where FDG, a radioactive substance, is used to identify cancer in the body. FDG is preferentially taken up by cancer cells and creates distinct signals that are detected by the PET scanner. A limitation of FDG-PET is that FDG is not specific to cancer. Other diseases, including COVID, can cause higher uptake of FDG by cells and create confounding signals during PET. To mitigate the risk of cancer misdiagnosis in patients infected with COVID, we will investigate to what extent SARS-CoV-2 infection interferes with cancer diagnosis. Animal models of breast cancer and SARS-CoV-2 will be used for studying FDG-PET imaging features. Breast cancer is one of the most prominent cancers among women. Our study will help proper diagnosis of breast cancer in patients at the IWK Health Centre, the largest women’s and children’s hospital in Atlantic Canada.

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Superviseur du corps professoral :

Jeanette Boudreau

Étudiant :

Partenaire :

IWK Health Centre

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Dalhousie University

Programme :

Accelerate

Deep Semi-supervised Fraud Detection in Derivatives Market

In the previous projects with TMX some unsupervised techniques have been explored to detect anomalies in trading for the derivative market. All have their pros and cons but they all have provided promising results. The first objective of this collaboration with TMX is to treat all these techniques that have been explored in previous projects; contrast them and integrate them in order to develop an improved pipeline for anomaly detection. The second goal is to add the use of labeled data to this pipeline. TMX disposes of a large set of labeled manipulative examples which will be very useful to develop a semi-supervised methodology.

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Superviseur du corps professoral :

Manuel Morales

Étudiant :

Partenaire :

Bourse de Montréal

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

Université de Montréal

Programme :

Accelerate

Alberta Parent Survey: Perspectives on Early Learning and Care

The Edmonton Council for Early Learning and Care, the Muttart Foundation, the Community-
University Partnership for the Study of Children, Youth and Families, and the United Way Capital Region partnered to survey Alberta parents/guardians about their early learning and child care
arrangements from May to July 2022. Data were collected from 1,479 parents. A series of reports on the survey findings rooted in the five principles of the Multilateral Early Learning and Child Care Framework (quality, inclusion, affordability, flexibility, and accessibility). The Mitacs intern involved in
this project will complete quantitative data analyses, manage survey data, and engage in knowledge mobilization activities. As a result, the work of the intern will provide the Edmonton Council for Early Learning and Care with valuable knowledge and materials as they work to inform policy and practice
in the early learning and care sector.

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Superviseur du corps professoral :

Rebecca Gokiert;Mackenzie Martin

Étudiant :

Partenaire :

EndPovertyEdmonton

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Alberta

Programme :

Accelerate

Neurophysiological AI models for training of public safety officers under high stress and mental load

Psychological stress could be an important indicator of comfort with a task, particularly for training in safety-critical
fields such as public safety. Continuous stress monitoring emerges as a valuable tool for improving and
individualizing training, offering instructors a more comprehensive understanding of each student’s overall task
comfort and enabling timely interventions based on stress levels at specific moments. SensorHub is a multimodal
human state monitoring platform developed by Thales, which includes stress and mental workload modeling in
near real-time. The objective of this internship is to develop and validate models based on the data collected with
a specific population (public safety officers as they are under high stress and mental workload) who have
undergone resilience training that is known to affect physiological signals.

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Superviseur du corps professoral :

Tiago H Falk

Étudiant :

Partenaire :

Thales Recherche et Technologie

Discipline :

Engineering

Secteur :

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Development, and In vitro and In vivo evaluation of thermoresponsive bioreductively-activated nanotheranostics

Cancer management continues to be a global problem (WHO report 2022) – mainly because cancerous solid tumors (found in more than 40% patients, and in all types of cancer) become metastatic, therapy resistant and poor-responding to conventional chemo-/radiotherapy due to a condition called hypoxia (tissue with low levels of oxygen). Due to poor tumor vasculature, drug delivery is severely compromised, and therapeutically-effective doses are not available in tumor. To date, there is no drug to kill hypoxic tumors.
Our partner WWiKY Biosciences Inc. is actively working on providing clinical solution for such cancers. This project, partly supported by them, pursues the anti-cancer evaluations of a drug DOTA-TPZ, developed by WWiKY Biosciences Inc., that in collaboration with Dr. Narain, will be transformed to a nanodrug to facilitate its delivery selectively in cancer cells, thus minimal toxicity to healthy cells. DOTA-TPZ drug is highly innovative since ‘the same drug’ is designed with features that it can offer both cancer imaging and therapy (cancer killing), i.e., a precision medicine approach for yet untreatable cancers. Besides health benefits, this development offers is a serious IP and a yet untapped market opportunity for this product. Further, WWiKY Biosciences Inc. partnership with biomedical engineering opens the door for a highly innovative nanotheranostic i.e., both imaging + therapeutic, solution for cancer management.

Voir la description complète du projet
Superviseur du corps professoral :

Ravin Narain

Étudiant :

Partenaire :

WWiKY BioSciences Inc.

Discipline :

Engineering

Secteur :

Manufacturing; Wholesale trade

Université :

University of Alberta

Programme :

Accelerate

Protecting human knowledge and cultural heritage in the age of AI: Risks and affordances of AI use within research universities, libraries and archives

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Voir la description complète du projet
Superviseur du corps professoral :

Paolo Granata

Étudiant :

Partenaire :

Centre for International Governance Innovation

Discipline :

Sociology

Secteur :

Education; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Optimization and Scale Up of the Production Process for msDNA Product

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Voir la description complète du projet
Superviseur du corps professoral :

Rob Nicol

Étudiant :

Partenaire :

Mediphage Bioceuticals Inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Lambton College of Applied Arts and Technology

Programme :

Accelerate

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