Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

The Cellular Role of Double-Stranded Break Repair Protein, Endo-exonuclease (Trmt2a,b), in Cancer Therapy and in Inflammatory Response

This project aims at understanding the role at a cellular level, of a protein called Trmt2a,b in the repair of DNA in the context of cancer and inflammation. We will study a particular set of blood samples obtained from a cohort of patients affected by acute lymphoblastic leukemia (ALL), a form of blood cancer, where some of these patients will also develop a complication in the form of bone death, called osteonecrosis (inflammation). We are interested to see if this protein could reduce inflammation in the context of this particular cancer and its current therapy (chemotherapy and high dose GC) using a ALL cell line and replicating the inflammatory response in vitro using high dose glucocorticoids. We hypothesize that the protein (Trmt2a,b) will be synergistic in reducing the inflammatory response in this cohort therefore reducing the risk of osteonecrosis development in this particular population of patients. TO BE CONT’D

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Superviseur du corps professoral :

Chantal Seguin

Étudiant :

Partenaire :

Montdorex Pharma

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Research Institute of the McGill University Health Centre

Programme :

Accelerate

Problem detection and aerial mapping for construction site management

On time discovery of problems and constant monitoring of construction sites have great economical benefit. It requires the capability of highly efficient and accurate object detection and segmentation algorithms that can work with coarsely labelled training samples. The project is aimed to develop new learning-based object detection and segmentation algorithms for problem detection and mapping of construction sites with high accuracy and efficiency. This project will improve operation efficiency for construction related projects. This project is also able to advance the application and research of advanced AI technologies in industries, which can increase the competitive advantage of Canadian companies in international market.

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Superviseur du corps professoral :

Steven Waslander

Étudiant :

Partenaire :

SiteVue Incorporated

Discipline :

Earth science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Polypyrrole decorated MOFs as supercapacitors

The idea behind our collaboration would be the novel synthesis of new electrode materials created from a hybrid of three key components. This being a system of metal-organic frameworks (MOFs), decorated with conductive polymer polypyrrole (PPy) and then layered onto a flexible carbon scaffold. The MOFs will provide a template for the PPy to affix themselves to, thus boosting the conductivity of the MOF, which provides excellent surface area for reactivity to the hybrid. The resulting electrode will borrow the porosity and mechanical stability of the MOFs, and high electrical conductivity and capacitance from the carbon/CP. The first stage of my stay would involve me learning as much as I can about the field of MOFs. Once I have synthesized my own MOFs, I would apply my own research to functionalize them with carbon/CP materials. Dr. Xiao’s lab is very well equipped for material characterization, including electron microscopy and various spectroscopic methods. This would allow me to note each unique feature of the various samples I hope to make. The third stage would find me back at UNB, where our own lab is well equipped for electrochemical testing. TO BE CON’T

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Superviseur du corps professoral :

Anna Ignaszak

Étudiant :

Partenaire :

Queen’s University Belfast

Discipline :

Physics

Secteur :

Education

Université :

University of New Brunswick

Programme :

Globalink Research Award

Projet Lab-Aventure : Observation des habiletés motrices fondamentales en situation de jeu en fonction de l’environnement extérieur et des matériaux de jeu chez des enfants de 8 – 9 ans

Les habiletés motrices fondamentales (HMF), par exemple : lancer, attraper, courir, sauter, sont le fondement d’un mode de vie actif. Elles se développement au cours de l’enfance via la pratique d’activité physique donc principalement à travers les périodes de jeu. Cependant, seulement un mince pourcentage des enfants répondre aux recommandations nationales du temps accordé à l’activité physique entrainant, entre autres, un niveau d’habileté motrice fondamentale faible. Cela est d’une importance capitale étant donné que les préférences en lien avec l’activité physique ainsi que les problèmes de surpoids en bas âge tendent à se poursuivre à l’âge adulte. Il est donc important de mieux comprendre dans quels environnements et avec quels matériaux de jeu les enfants mettent en oeuvre et pratique leur HMF. TO BE CONT’D

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Superviseur du corps professoral :

Mathieu Point;Monica Boudreau

Étudiant :

Partenaire :

Jambette

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Quête d’identité juive par les archives : quand il ne reste que la généalogie. Un cas concret de recherche matérielle et virtuelle

La généalogie procède d’une recherche de parenté, de filiation qui nous rattache à un contexte de société. Les archives, autrefois secrètes et dévolues aux experts (historiens et chercheurs), connaissent un regain d’intérêt informationnel mais aussi émotionnel tant au niveau concret qu’un niveau virtuel. La généalogie juive est en marge du mouvement car elle témoigne souvent d’un autre besoin psychologique et parfois physiologique, celui de combler un trou béant que plusieurs pogroms et un « récent » génocide ont creusé. Au travers d’une expérience concrète, nous nous proposons de visiter un parcours de recherche généalogique sous deux angles : virtuel avec l’association Jewish Genealogical Society of Montreal, et tangible avec l’organisme Cercle de Généalogie Juive à Paris. Les résultats de cette recherche démontreront que les archives matérielles ne peuvent être dissociées des archives numériques dans la généalogie (et vice-versa) et qu’il est encore indispensable de les « toucher ».
Résultats visés : valider que l’approche archivistique et généalogique est différente d’un pays à l’autre mais que le but et les conséquences sont les mêmes : il est encore nécessaire d’accéder à « l’archive » malgré les nombreuses sources numériques.

Voir la description complète du projet
Superviseur du corps professoral :

Yvon Lemay

Étudiant :

Partenaire :

Université d’Angers

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

When do we support harming another group?

The purpose of this project is to extend my investigation of destructive intergroup behaviour (DIB), defined as collective action taken with the primary intent of harming an outgroup. Specifically, I am interested in identifying the psychological processes through which individual group members come to see DIB as justified, as it is the widespread acceptance and endorsement of DIB that empowers such forms of collective action. Over the last couple years, my collaborators and I have been developing a model that identifies two pathways – one cognitive, the other emotional – that independently predict endorsement of DIB. However, to date all evidence for our model has been correlational. Thus, this project intends to obtain experimental evidence in order to strengthen our current theorizing. Moreover, if the results of this study support our hypothesized model, I expect to publish in a refereed social psychology journal and to present these findings at future scholarly meetings.

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Superviseur du corps professoral :

Stephen C. Wright

Étudiant :

Partenaire :

University of Lisbon

Discipline :

Sociology

Secteur :

Other

Université :

Simon Fraser University

Programme :

Globalink Research Award

Continuous production of high quality carbon nanopearls

Carbon nanopearls are an exciting novel class of materials that present unique characteristics, and they turn out to be an excellent alternative to carbon nanotubes for different applications. Presently, they are experimented with success as material for cold cathodes for electron-beam based instrumentation applications and they can be used for the development of polymer nanocomposites with specific properties. We plan to develop a new chemical vapor deposition reactor with a mechanism for allowing a prolongation of the nanocatalyst lifetime that can favour the material growth process. A new fabrication process based on optimization of factors such as temperature, gas fluxes and substrate rotation speed will be determined in order to obtain the highest throughput for a continuous production

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Superviseur du corps professoral :

Truong Vo-Van

Étudiant :

Partenaire :

Nanomed

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Intelligent Agent Based Computing for Auditing Financial Market Transactions

Citco provides financial products and services to hedge funds, private equity and real estate firms, investors, institutional banks, Global 1000 companies, and high net worth individuals in the Netherlands and internationally. The proposed research is focused on optimizing operations by automating trade resolution and reducing risk using machine learning. Outlier detection algorithms will be proposed to improve the accuracy of existing mismatch detection procedures. Unsupervised and supervised machine learning will be used to further improve this capability. The research will also look at improving data visualization and user interface for efficient monitoring of trade mismatch. Further, we will explore use of text mining for automated resolution of trades based on e-mails exchanged between those involved in a trade. The endeavor will significantly improve the data analytics capabilities of Citco and will potentially result in an increased operational footprint in Atlantic Canada.

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Superviseur du corps professoral :

Pawan Lingras

Étudiant :

Partenaire :

Citco (Halifax)

Discipline :

Computer science

Secteur :

Administrative and support, waste management and remediation services; Finance and Insurance

Université :

Saint Mary's University

Programme :

Accelerate

Proximity Music System

Video games are highly interactive experience. With modern approaches to game design it becomes impossible to anticipate all the situations a player can ended up in. Building up on research regarding generative music systems at the Metacreation Lab for Creative AI, PhD student Cale Plutt will research, design and implement a generative music system tailored to Inscape VR game. In particular, the music generation will respond to affective state of the games in terms of their valence, arousal and tension.

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Superviseur du corps professoral :

Philippe Pasquier

Étudiant :

Partenaire :

Inscape Studios

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Simon Fraser University

Programme :

Accelerate

Automated Fatty Liver Diagnosis

Up to 30% of the population has a Fatty Liver Disease (FLD, a condition in which fat builds up in your liver). Non-invasive ultrasound assessment of this liver condition is an increasing demand in healthcare service due to its high risks leads to advanced liver diseases. However, an ultrasound-based examination has made the manual inspection a lengthy and tedious task and observer dependent. The proposed research aims at a computer-aided liver ultrasound assessment software toolkit facilitating the diagnosis of FLD. In particular, this proposal will design computational methods, such as machine learning and recent deep learning, to automatically extract related features in ultrasound data, and to detect and grade the levels of FLD. This project is a pioneering attempt. In both industry and academia, there is limited prior work. It will provide a strategic base towards a full automatic liver ultrasound diagnosis system for the partner organization.

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Superviseur du corps professoral :

Shuo Li

Étudiant :

Partenaire :

MEDO DX

Discipline :

Engineering

Secteur :

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

Université :

Western University

Programme :

Accelerate

Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the state-of-health for batteries in mobile devices. The intern will use the metrics collected by SOTI Insight Agent to derive formulas to calculate the key performance indicators (KPIs) of the battery system. Using the KPIs, the intern will explore all the feasible machine machine and neural networks algorithms to obtain a better understanding and prediction of batteries’ health conditions. This will help the Canadian customers minimize cost of device maintenance, as well as total cost of ownership while ensuring a minimal impact and loss to business productivity.

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Superviseur du corps professoral :

Murat Erdogdu

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

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Superviseur du corps professoral :

Henry Leung

Étudiant :

Partenaire :

Thales Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Transportation (excluding aerospace); Technology

Université :

University of Calgary

Programme :

Accelerate

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