Projets novateurs réalisés

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

31 132 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

The Annual Canadian School Survey

Public education is the starting point for building a prosperous, inclusive, entrepreneurial, and equitable society in Canada. However, education systems in Canada are compartmentalized from one another with little shareable data to help understand differences, promote cross-jurisdictional learning, or develop Canada-wide strategies to support change. People for Education and the Centre for Leading Research in Education at Wilfrid Laurier University are partnering to help tackle these data gaps by developing the Annual Canadian School Survey. This survey will ask principals across Canada about the vital resources they have in schools to understand how programming, supports, and learning opportunities are distributed in K-12 schools across Canada. Using this evidence, we hope policymakers will be able to communicate across provincial and territorial borders to begin to build a pan-Canadian education strategy to prepare students for the future.

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Superviseur du corps professoral :

Kelly Gallagher-Mackay

Étudiant :

Partenaire :

People for Education

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Wilfrid Laurier University

Programme :

Elevate

Evaluating the impact of future housing development in the City of Vernon by modeling Greenhouse gas (GHG) emissions

The City of Vernon’s Climate Action Plan (CAP) aligns with British Columbia’s CleanBC Roadmap 2030, aiming for significant GHG reductions by the year 2050. With an expected population increase of 20,000 by 2045, Vernon’s updated Housing Action Plan (HAP) must analyze the GHG impacts of new housing developments to meet CAP targets while balancing affordability. This research aims to develop a framework to assess GHG emissions from future housing developments in Vernon using a life cycle thinking approach. The objectives include conducting a literature review, mapping future scenarios, evaluating environmental and financial impacts, and providing a comparative analysis to guide sustainable and affordable housing development. The methodology involves a comprehensive literature review, scenario development, environmental impact analysis using life cycle assessment (LCA), and a comparative evaluation of different development scenarios. This research will inform Vernon’s strategic planning to mitigate climate change impacts, advance the BC Step Code commitments, and create resilient communities.

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Superviseur du corps professoral :

Rehan Sadiq;Kasun Hewage

Étudiant :

Partenaire :

The City of Vernon

Discipline :

Engineering

Secteur :

Public administration

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Study of the Anxiolytic and Antinociceptive Signaling Pathways of Minor Cannabinoids with Development of Novel Cannabis Products

Cannabigerol (CBG) and Cannabichromene (CBC), like tetrahydrocannabinol (THC) and cannabidiol (CBD), are chemical compounds called cannabinoids that are traditionally found in cannabis plants. Prior research has shown that these compounds display pain-relieving and anti-anxiety properties. However, the mechanisms of how these effects happen are unknown. This project, in collaboration with Westleaf Labs LP, will examine how CBG and CBC behave in cell culture and animal models at various receptors to characterize how CBG and CBC relieve pain and anxiety. This knowledge will inform the development of cannabis products containing CBG and CBC.

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Superviseur du corps professoral :

Robert Laprairie

Étudiant :

Partenaire :

Westleaf Labs LP

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Saskatchewan

Programme :

Accelerate

Examining the Impact of Peer Mentors on Individuals Transitioning to Adult Eating Disorder Treatment

Many young people slip through gaps in care and do not access the eating disorder treatment they need as adults. The purpose of this study is to assess a program that uses peer mentors to help guide youth during their transition from youth into adult eating disorder care. Peer mentors have lived experience with EDs, are often less intimidating and more cost effective than clinicians, and are trained to help youth become more independent, identify goals / barriers to transition, and develop problem solving skills. The main goal of the study is to understand whether this peer mentor program is judged as suitable and satisfying by youth (aged 16-24 years), their carers (e.g., parents, guardians), and peer mentors. Data will be collected through self-report questionnaires and one-on-one interviews to understand if/how the program is helpful to youth and to learn what youth, carers, and peer mentors think of the program and transitions in ED care. This information will help determine if adjustments needed to improve the program for future use and if they program can be used on a larger scale.

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Superviseur du corps professoral :

Aaron Keshen

Étudiant :

Partenaire :

Nova Scotia Health

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services; Public administration

Université :

Dalhousie University

Programme :

Accelerate

The effects of vibratory stimulation on static and dynamic balance control: interactions between stimulation type, location and balance ability

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

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Superviseur du corps professoral :

Mark Carpenter

Étudiant :

Partenaire :

Lululemon

Discipline :

Life Sciences

Secteur :

Manufacturing; Retail trade

Université :

The University of British Columbia

Programme :

Accelerate

Improved Synthesis of [18F]-4-Fluorohomoleucine (FHL) for Imaging of Multiple Myeloma

Positron emission tomography (PET) imaging is an imaging technique used for the early detection of tumors and metastases, and plays an important role in diagnosis, staging, and treatment planning. PET imaging relies on radiotracers (molecules with a radioisotope attached) that selectively accumulate in tumors and can be detected by a PET scanner. Thus, the discovery of new radiotracers can enable improved imaging and diagnoses of cancer. We have discovered a radiotracer called 18F-FHL, which relies on the radioisotope fluorine-18 (18F), and have demonstrated its utility in imaging cancer in various preclinical models. Here, we plan to improve the production method for 18F-FHL such that it can be used globally and at lower doses. Additionally, we will develop a streamlined purification process that will enable translation to clinical studies.

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Superviseur du corps professoral :

Robert Britton;Daniel Leznoff

Étudiant :

Partenaire :

Centre for Probe Development and Commercialization

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Retail trade

Université :

Simon Fraser University

Programme :

Accelerate

Biotech R&D statistical analysis using Generative AI for business expansion

Scispot is an innovative company dedicated to revolutionizing the biotech industry through the integration of advanced scientific tools and technologies. Scispot is backed by Y Combinator, Velocity, OBIO, OCI, and CDL. Our mission is to enable every biotech lab to streamline their operations, enhance productivity, and accelerate scientific discoveries.

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Superviseur du corps professoral :

Moe Fadaee

Étudiant :

Partenaire :

Scispot

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

George Brown College of Applied Arts and Technology

Programme :

Business Strategy Internship

Enhancing Heat Treatment Processes through Machine Learning

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining reliable furnace operation data, designing advanced AI-based anomaly detection systems, implementing real-time analysis of furnace operations, and predicting the quality of heat-treated products. By addressing these objectives, the project seeks to improve furnace performance, reduce downtime and maintenance costs, and optimize heat treatment processes. The integration of precise control and monitoring through advanced sensor networks and AI-driven solutions aims to enhance the mechanical, physical, and chemical properties of alloy steels. Ultimately, this project will lead to more efficient furnace operations, higher quality products, and reduced environmental impact.

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Superviseur du corps professoral :

Bijan Raahemi

Étudiant :

Partenaire :

Nitrex H.T. Inc

Discipline :

Computer science

Secteur :

Manufacturing

Université :

University of Ottawa

Programme :

Accelerate

Finding blood biomarkers to inform local inflammation in coronary artery disease

As an anti-inflammatory drug has been recently approved to prevent heart attacks in heart disease patients, specific blood tests are needed to guide the application of such drugs. There is currently no blood test to identify patients who may benefit from this drug. This project aims to evaluate the accuracy of a current clinical blood test and find blood tests that more accurately reveal local inflammation in the heart. By studying the inflammation pathways in the heart and its associated markers in the blood, we hope to identify blood tests that could accurately guide clinical decision-making. Through this project, the partner organization will gain new opportunities to collaborate with another research centre, and gain visibility in academic and professional conferences, which could attract further collaborations.

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Superviseur du corps professoral :

Ying Wang

Étudiant :

Partenaire :

PROOF Centre of Excellence

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Enhanced Wireless Power Transfer via Multisource Thermophotovoltaic Systems

The objective of this research project is to design, fabricate and test a prototype wireless power transmission system that uses a thermophotovoltaic (TPV) system to receive the power beam. By using a TPV system as the receiver (instead of a photovoltaic cell) the electromagnetic radiation can have almost any wavelength. This opens a broad range of radiation that can be used to enhance power beaming applications. For example, by using radiation with wavelengths in the atmospheric window (the range of wavelengths from about 8-10 um wherein radiation is highly transmissive in the atmosphere) power can be beamed to a TPV receiver with minimal losses. Furthermore, the performance of TPV systems can be increased by enabling them to be powered by multiple sources. The goal of this research is to design and test TPV systems that are powered by two sources, wherein one of the sources is an object at high temperature and the other source is beamed power. The industrial partner will play an active role in the design and development of multisource TPV systems capable of functioning as receivers in wireless power transfer applications and will have a competitive advantage to market TPV receivers on a global scale.

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Superviseur du corps professoral :

Paul O'Brien

Étudiant :

Partenaire :

Columbiad Launch Services

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

York University

Programme :

Accelerate

Metabolomic profile of pulmonary neuroendocrine neoplasms

This research project aims to develop an innovative blood test for earlier detection of an important subtype of lung tumors, known as neuroendocrine neoplasms (NENs). Unfortunately, these tumors are too often diagnosed late and are difficult to treat. Our approach is to exploit a specific characteristic of neoplasms: tumor cells adapt the way they generate and use energy. By analyzing chemical substances called metabolites in the blood, we hope to create a test that would enable these tumors to be diagnosed more quickly and accurately. Biomark Diagnostics Inc. provides measurement of the concentrations of these metabolites in patients’ blood using an innovative physical technology called Luxon ion source®. By identifying biomarkers, patients could then be diagnosed earlier and receive treatment, which could improve their quality of life, prognosis and chances of recovery. This project offers the opportunity to contribute to important medical advances in the detection and treatment of NENs, which could lead to better therapeutic options for patients.

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Superviseur du corps professoral :

Philippe Joubert;Venkata Manem

Étudiant :

Partenaire :

Biomark Diagnostic Solutions Inc

Discipline :

Life Sciences

Secteur :

Health and Related Sciences and Technology; Technology; Artificial Intelligence

Université :

Université Laval

Programme :

Accelerate

Development of Autonomy for Log-loading Machines in Canadian Mill Yards

The timber-harvesting and processing industries anticipate that the use of robotics and AI technologies will increase
productivity, safety and job satisfaction of machine operators to help address the shrinking labor force. We have engaged
with our partner, FPInnovations, on research to increase the autonomy of log-loading machines with the goal to demonstrate
the technology on machines operating in the mill yard. We will focus our research and development on three relevant
problems, of direct relevance to different aspects of log-loading operations. In the first project, we will investigate the use of
vision and inertial sensors on the crane of the machine to determine the position of the crane’s grapple and to measure the
crane’s joint angles. In our second project, we will develop localization and mapping solutions to allow the machine to
position itself relative to the infeed deck of the mill and to build a map of the infeed deck area in order to increase the
machine’s situational awareness. In the third project, we will work towards an integrated planning and control framework for
efficient unloading of logs from large piles in mill-yard storage areas. To validate the developed algorithms, we will employ
the physical Crane test-bed available at FPInnovatrions, as well as, state-of-the-art simulation tools.

Voir la description complète du projet
Superviseur du corps professoral :

Inna Sharf

Étudiant :

Partenaire :

FPInnovations (Pointe-Claire, QC)

Discipline :

Engineering

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate