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

Developing Climate Action Policy Exemplars for School Districts of British Columbia

Climate change is a significant challenge we’re facing today, affecting ecosystems, economies, and societies globally. In Canada, there’s a strong push to achieve net-zero emissions by 2050, with British Columbia leading the charge through initiatives like CleanBC, aiming to reduce greenhouse gas emissions by 40% by 2030. In order to support these goals, the British Columbia School Trustees Association (BCSTA) is collaborating with relevant ministries to develop a strategy for a 50% reduction in emissions. This involves investigating how school districts across BC are addressing climate action and creating exemplars to help improve climate efforts in schools. The project includes three objectives: first, to assess existing climate action policies in BC school boards; second, to develop practical examples based on successful approaches identified during the research; and third, to benchmark climate action exemplars with climate action champions. These exemplars will cover various strategies, policies, and programs tailored to different types of school districts. By adopting these examples, BC school districts can enhance their efforts to tackle climate change.

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Superviseur du corps professoral :

Rajeev Ruparathna

Étudiant :

Partenaire :

British Columbia School Trustees Association

Discipline :

Engineering

Secteur :

Education

Université :

University of Windsor

Programme :

Accelerate

Lignin-Sourced Radical Initiators towards Visible-Light-Promoted cycloaddition reactions

This research initiative focuses on the development of sustainable and eco-friendly methods for harnessing natural resources, particularly wood, to produce valuable chemical compounds with applications in materials, pharmaceuticals, and agriculture. Through a collaborative effort involving experts from Canada and Italy, we aim to pioneer chemical reactions that leverage visible light and wood-derived compounds as catalysts to efficiently transform substrates into high-value products. This innovative approach not only addresses the pressing need for sustainable resource management but also mitigates potential health and environmental risks associated with traditional chemical processes. The project’s emphasis on green chemistry principles aligns with global efforts to reduce the environmental footprint of chemical industries. By working at the intersection of chemistry and sustainability, this research contributes to advancing eco-friendly practices and strengthening Canada’s position as a leader in innovative and environmentally conscious chemistry.

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Superviseur du corps professoral :

Shawn Collins

Étudiant :

Partenaire :

University of Parma

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Health and Related Sciences & Technology; Environmental Science and Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

Measurement of carrier mobility and lifetime in blocking layers of a-Se X-ray detectors

The amorphous selenium (a-Se) based active matrix flat-panel imager (AMFPI) has demonstrated promising performance in breast imaging, exhibiting high image quality and dynamic range. However, sensitivity variation due to previous x-ray exposures, known as ghosting, is a common phenomenon in direct conversion detectors, which can lead to the incorrect interpretation of breast images for diagnosis and screening. The trapped charge carriers in the multi-layer a-Se detector are believed to be responsible for this ghosting phenomenon. In this project, the charge carrier lifetime in the different layers of the detector will be investigated and its effects on the ghosting phenomenon of the AMFPI will be determined.

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Superviseur du corps professoral :

M. Zahangir Kabir

Étudiant :

Partenaire :

Analogic Canada Corporation

Discipline :

Physics

Secteur :

Wholesale trade

Université :

Concordia University

Programme :

Accelerate

Development of an industrial process for colour removal of plasticizers

The projects consist to apply commercially known colour removal technology to a used plasticizers blend produce in Tarkett vinyl sheet flooring plant. Using a continuous packed bed column, the intern will screen the performance and efficiency of several colour and metals removal resins. Following the colour removal experiments, the effect of adding the treated material in Tarkett formulation will be evaluated through different quality control tests developed by the company. In the instance that economically relevant results are obtained, a unit design will have to be carried out.

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Superviseur du corps professoral :

Milan Maric

Étudiant :

Partenaire :

Tarkett

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McGill University

Programme :

Accelerate

Analyzing the effects of wearable ring scanners on sustainability and ergonomics in warehouse operations

This project aims to evaluate the effectiveness of a wearable ring scanner in improving environmental, economic, and social sustainability specifically in a warehouse setting. By addressing these objectives, this research aims to provide valuable insights into the suitability and sustainability of the ring scanner as a potential means of enhancing warehouse operations. A life cycle assessment, activity-based cost analysis, and comfort rating scale will be used as research methods. The results of this research will immediately benefit the Canadian warehouse and distribution industries and its relevant stakeholders (e.g., policy makers, marketers and sustainability practitioners) in Canada.

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Superviseur du corps professoral :

Jay Jonghun Park

Étudiant :

Partenaire :

Lotwork Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Abnormality Detection Using Variational Autoencoder: An Application in Banking System

This internship project focuses on Variational Autoencoders (VAEs) for the precise identification of fraudulent activities within the banking sector, notably on check fraud detection. The literature shows that VAEs are very powerful in extracting principal features and components of a given dataset. This project meticulously outlines a comprehensive methodology where VAE is utilized for analyzing check images and extracting critical features such as signature styles, printed patterns, and unique identifiers to transform complex, high-dimensional data into an encoded, simplified representation. This project proposes an innovative integration of machine learning techniques to address challenges in financial fraud detection. By utilizing VAEs, we aim to extract and decode complex patterns, optimizing the detection of anomalies in the banking system. The methodology involves the application of VAEs for feature extraction from high-dimensional data, subsequently clustering these features to identify irregularities and predict long-term performance. The project leverages publicly available datasets, such as RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) and NIST Special Database 19, for checks to refine models capable of handling diverse scenarios.

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Superviseur du corps professoral :

Jahrul Alam;Kevin Pope

Étudiant :

Partenaire :

NASDAQ Canada Inc

Discipline :

Mathematics

Secteur :

Finance and Insurance; Artificial Intelligence

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Boosting Interpretability and Reducing Resource Demands of Machine Learning Models using Tensor Networks

The rapid recent rise in the use of machine learning (ML) tools in business and everyday life has introduced both opportunities and new challenges. While powerful, large-scale ML models come with massive energy demands, as well as output that is hard to predict or interpret. This project will focus on the application of tensor networks (TNs), a rich family of models and methods originating in quantum physics and applied mathematics, to alleviate these issues within state-of-the-art ML models.

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Superviseur du corps professoral :

Guillaume Rabusseau

Étudiant :

Partenaire :

Zapata Canada

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

McGill University; Université de Montréal

Programme :

Accelerate

Mathematical and Computational Techniques for Cytotoxicity

The study of toxicity is to investigate the adverse effects of chemical and physical agents on living organisms and biological systems, and it is an important topic in the health and environmental sciences. In recent years, Alberta researchers has made great progress and contribution towards developing an innovative toxicity profiling program, and tremendous data sets have been obtained through numerous experimental studies. The present MITACS Accelerate Cluster project will present two new approaches based on the mathematical and computational techniques to extract important information and features from the available cytotoxicity data sets. The internship trainees participated in present MITACS project not only gaining research experience by studying and solving real problems, but more importantly, they are also making valuable contributions of knowledge and technology transfer from academia to industry, health and environmental sectors in Alberta and Canada.

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Superviseur du corps professoral :

Yau Shu Wong

Étudiant :

Partenaire :

Dr. Stephan Gabos Health Consulting

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Stage en recyclage du verre

Ce projet se concentre sur la valorisation et le recyclage du verre. Suite à une prise de conscience généralisée de l’impact environnemental des procédés actuels de refonte du verre, l’exploration de nouvelles sources d’énergies vertes (telles que les torches plasma) pour substituer l’utilisation de combustibles fossiles devient un enjeu de première importance. Actuellement, les emballages de verre préalablement triés subissent un processus de broyage produisant du calcin qui est par la suite fondu dans des fours de fort tonnage. Ce verre fondu est ensuite soufflé afin de produire de nouvelles bouteilles, présentant des propriétés mécaniques et optiques similaires à celles obtenues à partir de l’utilisation de matières premières vierges. Les fours actuels de refonte du verre utilisent des combustibles fossiles ce qui contribue de manière significative aux émissions de gaz à effet de serre liées à ce type d’emballage. Le projet vise donc à explorer de nouvelles technologies électrifiées substituant l’utilisation conventionnelles des combustibles fossiles. Cette recherche comprend l’identification des réductions potentielles des émissions de gaz à effet de serre et l’évaluation des coûts d’installation de ces technologies innovantes.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Philippe Harvey

Étudiant :

Partenaire :

École polytechnique fédérale de Lausanne

Discipline :

Engineering

Secteur :

Education

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Improving Commodities Forecasts with Machine Learning

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

Voir la description complète du projet
Superviseur du corps professoral :

Arvind Gupta;Huaxiong Huang

Étudiant :

Partenaire :

Balyasny Asset Management (Canada) ULC

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

University of Toronto

Programme :

Accelerate

Improving retrieval-augmented generation for user engagement

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

Voir la description complète du projet
Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

Boson AI

Discipline :

Computer science

Secteur :

Education; Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Using Carbon Control and Micronized Sulfur Technologies to reduce greenhouse gas emissions from fertilizer applications and to enhance soil nutrient availability

Sulvaris is a pioneer in developing carbon control technology (CCT) and micronized sulphur technology (MST). Fertilizers developed using those technologies provide carbon, nitrogen and sulfur, increasing crop yields and soil fertility. Further studies are needed to optimize formulations for the CCT and MST products, especially their efficacy in reducing greenhouse gas (GHG) emissions. The main objective of this study is to assess the performance of new CCT and MST products in soil carbon and nitrogen mineralization and GHG emissions (CO2 and N2O) as compared to the application of ammonium sulfate and urea. The laboratory incubation experiments will involve the systematic collection and analysis of gas and soil samples at regular intervals. These analyses aim to provide crucial insights into the effectiveness of the products in mitigating GHG emissions and enhancing soil fertility.

Voir la description complète du projet
Superviseur du corps professoral :

Scott Chang

Étudiant :

Partenaire :

Sulvaris Inc

Discipline :

Earth science

Secteur :

Agriculture; Manufacturing

Université :

University of Alberta

Programme :

Accelerate

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