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

Artificial photosynthesis: red-light absorbing metal complexes for hydrogen evolution

Molecular artificial photosynthesis is a promising solution to achieve independence of finite fossil fuels and provide an environmental and climate-benign energy supply. In this context, molecular hydrogen is a powerful fuel and consequently the development of molecular photocatalytic systems for the hydrogen evolution reaction (HER), half-reaction of the water-splitting process, is one of the great challenges for the scientific community. The HER’s photocatalytic activities are generally studied on a three-component system, consisting of a photosensitizer, a sacrificial electron-donor and a proton-reduction catalyst; in this regard, the project is focused on the photosensitizer. Recently, the Hanan group developed a Ru-photosensitizer that exhibits greater efficiency compared to what has been reported in literature. To enhance the photocatalytic performance of the HER system, the project is dedicated on the steric and electronic optimization of the Ru-photosensitizer. The goal is to develop an improved photosensitizer that can then be linked to the Co-catalyst subunit, resulting in a more efficient supramolecular system.

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Superviseur du corps professoral :

Garry S. Hanan

Étudiant :

Partenaire :

University of Messina

Discipline :

Physics

Secteur :

Sustainability & the Environment; Green/Alternative Energy; Natural Resources

Université :

Université de Montréal

Programme :

Globalink Research Award

Agnostic benchmarking through Quantum Amplitude Estimation

Quantum technology is advancing rapidly, particularly Noisy Intermediate Scale Quantum (NISQ) systems. With their increasing accessibility and industry interest, there’s a need to measure their performance, especially in the presence of non-Markovian noise. Currently, error correction methods are in development, and information on Quantum Processing Unit (QPU) performance is scarce. Our research addresses this by exploring “agnostic benchmarking.” We assess various quantum hardware platforms using a specialized technique. We focus on the Quantum Amplitude Estimation (QAE) algorithm, relevant in finance. By testing it on different quantum hardware, we track indicators like Kullback-Leibler divergence and Grover iteration fidelity as complexity grows, facilitating fair comparisons. We also study how different hardware affects QAE performance, providing insights into circuit design’s influence. Our goal is to develop benchmarking techniques for informed decisions on quantum hardware and algorithm deployment.

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Superviseur du corps professoral :

Roman Krems;Olivia Di Matteo

Étudiant :

Partenaire :

Resonance Alliance

Discipline :

Physics

Secteur :

Information and cultural industries

Université :

The University of British Columbia

Programme :

Accelerate

Differential Splicing and Processing of mRNA Resulting From Pharmacological Perturbation of CLK Activity

The Takeda Pharmaceutical Company has recently developed a new drug to reduce the level of RNA processing that takes place within a cell. This project will look at the molecular effects of this drug at different doses in order to obtain an understanding of how cellular biology changes when RNA processing is suppressed with increasing intensity. Analysis undertaken during this internship will also provide BCCA | BCCRC and Takeda with detailed information regarding the activity and effectiveness of their drug. The resulting knowledge obtained will be useful in the development of future therapies that target RNA processing

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Superviseur du corps professoral :

Sohrab Shah

Étudiant :

Partenaire :

Takeda Pharmaceuticals North America Inc (Oakville, ON);BC Cancer Agency

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Examining the current state of live-in intensive treatment programs in Ontario for pregnant and parenting transitional aged youth and their children

The Ontario Association of Young Parent Agencies (OAYPA), via Abonia Centre, requested a study to examine 1) available treatment programs available to pregnant and parenting transition aged youth (TAY) and their children, in Ontario; 2) demographics of TAY who access these programs; 3) literature on promising practices for treatment programs for TAY. This study will highlight strengths, challenges, opportunities, and recommendations for LIT and day programs across Ontario to best serve TAY and their children. The study includes: 1) a rapid review of literature; 2) a study involving surveys and interviews with TAY program staff at treatment programs; and 3) a detailed environmental scan of all LIT and day programs for TAY and their children, across Ontario.

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Superviseur du corps professoral :

Melody Morton Ninomiya

Étudiant :

Partenaire :

Abiona Centre for Infant and Early Mental Health

Discipline :

Sociology

Secteur :

Public administration

Université :

Wilfrid Laurier University

Programme :

Accelerate

Developing Correlative Microscopy Workflows in Metallurgy

Understanding the performance of metals is related to its structure at many different length scales, from the atomic level all the way up to the macro-sized object. Being able to knit these length scales together for their chemistry, microstructure and defect structure is critical to deisgning new parts for high performance applications, sch as power generation and aerospace. Correlative microscopy uses multiple techniques to image the same material at different length scales but knitting all of this information together is not straightfowarded. In this project, we will work on developing correlative microscopy techniques and workflows related to metallurgical applications.

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Superviseur du corps professoral :

Nabil Bassim

Étudiant :

Partenaire :

Fibics Incorporated

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Assessing the Impacts of Preparation Techniques on the Properties and Performance of Fuel Cell Catalysts

Hydrogen fuel cell technology plays an important role in reducing our reliance on fossil fuels, helping to meet Canada’s Sustainable Development Goals. Fuel cell performance largely relies on the composition of its catalyst layers, which contain carbon supported nanocatalysts and an ion-conducting polymer. The catalyst layer facilitates generation of electricity from the combination of hydrogen and oxygen gases. This project will use many complementary techniques to expand our understanding of key interactions between the ion-conducting polymer and other components of the catalyst layer. Of particular importance is its influence on the performance and, possibly, poisoning of the catalyst. A series of ion-conducting polymers of interest to the partner organization will be evaluated through comprehensive studies. The outcomes of this work will guide the design of materials and methods for the scale-up production of catalyst layers (e.g., roll-to-roll processes) for manufacturing fuel cells in a manner that saves time and resources.

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Superviseur du corps professoral :

Byron Gates

Étudiant :

Partenaire :

Unilia

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Intégration de matériaux 2D sur wafer de silicium

La découverte récente de matériaux bi-dimensionnels (2D) possédant une structure stable a révolutionné la physique de la matière condensée. Ils permettent d’obtenir un confinement des porteurs et une réduction ultime des tailles des composants microeélectroniques. L’exemple le plus connu est le graphène qui est composé d’une couche monoatomique d’atomes de carbone d’hybridation sp2 « flottant » sur un substrat, stabilisé par le couplage anharmonique entre les modes de flexion et de tension, induisant une corrugation intrinsèque de la couche. Le GR possède des propriétés remarquables : une structure de bande en cône de Dirac et une mobilité des porteurs inégalée.
L’objectif de ce projet est de démontrer l’intégration de GR monocristallin homogène sur les substrats de silicium sur isolant (SOI) qui ont récemment remplacé les plaquettes en silicium massif comme substrats conventionnels de la microélectronique.
Durant le stage, l’étudiant étudiera l’épitaxie de GR sur un substrat de germanium, puis sur cette couche tampon de Ge sur SOI pour permettre son intégration dans les composants microélectroniques. Les propriétés physiques des différentes couches seront étudiées par microscopie en champ proche, microscopie électronique, analyses de surface. Les systèmes réalisés seront évalués au regard de leurs caractéristiques opto-électroniques.

Voir la description complète du projet
Superviseur du corps professoral :

Abderraouf Boucherif

Étudiant :

Partenaire :

Aix-Marseille Université

Discipline :

Physics

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

What Makes TikTok Tic? A Comparative Study of Social Interaction Models Across Platforms

This project will investigate the impact of TikTok’s emergence as a platform characterized by de-contextualized, algorithm-driven content. Understanding the distinctions between TikTok’s design principles and those of other platforms is essential for comprehending their influence on user interactions, from constructive engagement to polarization. The research will employ agent-based models of opinion dynamics, calibrated using data from platforms like Twitter, Reddit, and TikTok, leveraging advances in optimization techniques. It will also utilize language models for precise multi-target opinion prediction. The project aims to create a robust simulation environment, offering insights into social behavior and serving as a testing ground for constructive platform interventions, ultimately enhancing our understanding of digital interaction dynamics and fostering healthier online communities. This will help both institutions understand how social platforms shape our social behaviour, and help to improve public policy for digital communications.

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Superviseur du corps professoral :

Derek Ruths

Étudiant :

Partenaire :

Technical University of Munich

Discipline :

Computer science

Secteur :

Artificial Intelligence; New and Digital Media; Public Service, Policy, and Governance

Université :

McGill University

Programme :

Globalink Research Award

Black Women in STEM Entrepreneurship in the Prairies

STEM programs grew after 2018 in Canada, but only a fraction of graduates worked in a STEM field (CFI, 2022). Less women enter the STEM field and even less in the field are Black women who face challenges finding employment in the industry, leading to a small number pursuing STEM careers, including those STEM careers built around entrepreneurship. Since there is limited understanding of the challenges and opportunities for Black women entrepreneurship in STEM fields in the Prairies and more broadly in Canada, this project aims to provide a better understanding of the opportunities and challenges facing Black women STEM graduates’ access to Entrepreneurship roles in Canada.

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Superviseur du corps professoral :

Natacha Louis;Shirley Anne Tate

Étudiant :

Partenaire :

Black Canadian Women in Action

Discipline :

Sociology

Secteur :

Administrative and support, waste management and remediation services

Université :

University of Alberta

Programme :

Accelerate

L2M – SilicoLabs

SilicoLabs’ software revolutionizes psychology/neuroscience research by harnessing XR to create real-world simulations. Researchers import their 3D models, video, audio, images and creating dynamic interactions between them and the participant – all without writing a single line of code! Researchers determine which variables they want to track (e.g., number of times an object is picked up) and how they want to deliver the simulation. Using the variable system, simulations not only capture comprehensive behavioural data but also seamlessly integrate biosensor information, such as brain waves via EEG. The resulting datasets hold immense value, as they can be analysed using machine learning techniques, uncovering patterns and predicting human behaviour. Further, AI agents can be trained on these datasets and tested within the same simulations, closely emulating human cognition (Sun et al, 2022).

Voir la description complète du projet
Superviseur du corps professoral :

Joseph Ferenbok

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Artificial Intelligence; Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Business Strategy Internship

Ylid functionalization of carbon suboxide

This project deals with chemical reactions between carbon suboxide and strong carbon-based bases. Carbon suboxide is the bigger relative of carbon dioxide with two more carbon atoms between the outer oxygen atoms which makes it much more reactive. The reactivities of carbon monoxide to common organic molecules have been reported mid-to-end of last century. The reactivity exploration compared to carbon dioxide however is still very poor. Therefore the utilization of carbon suboxide is still very limited. In this project, we will synthesize carbon suboxide and react it with two types of compounds: Metalated ylids and ketenyl anions, whichof both can be classified as nucleophiles with negatively charged carbons. We will isolate adducts between the gaseous molecule and strong carbon nucleophiles and thereby enrich the explored chemical space. Ideally we hope to isolate unique organic molecules that can be used as building blocks for further functionalization such as drug design.

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Superviseur du corps professoral :

Jason Masuda

Étudiant :

Partenaire :

Ruhr-Universität Bochum

Discipline :

Physics

Secteur :

Education

Université :

Saint Mary's University

Programme :

Globalink Research Award

Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a sophisticated motion capture system. Generalization can be achieved by injecting noise into the data and forcing the learning algorithm to extract the relevant signal. We propose to devise and implement a diffusion algorithm that learns from an existing handover dataset to dramatically improve performance and generalizability.

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Superviseur du corps professoral :

Jonathan Kelly

Étudiant :

Partenaire :

Ukrainian Catholic University

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Artificial Intelligence; Information and Communications Technology

Université :

University of Toronto

Programme :

Globalink Research Award

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