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

Local in situ Controlled Delivery of Biphosphonates in Bone Metastasis

We propose to develop in collaboration with Medtronic Canada a bioceramic drug delivery system for the local controlled release of Biphosphonates (BP) – drugs that prevent bone resorption – to promote both tumor inhibition and bone regeneration at the site of bone tumor resection, eliminating the need for high systemic doses and side effects associated with BP. To this end we will fabricate bioceramic bone grafts by 3D printing, a technique that not only allows us to personalised each implants according to the exact geometry and location of the bony defect but also to endow the implant with internal structure that can be used to store or control the release of bioactive agents. Interns will each participate in a detailed aims of the project, including laboratory work with and without cells. This work will ultimately lead to testing in standard bone-tumor animal models. This work using novel fabrication technique of bone graft fits with Medtronic’s orthobiologics and biosurgery for bone repair product lines and R&D interests.

Voir la description complète du projet
Superviseur du corps professoral :

Jake Barralet;Micheal Weber

Étudiant :

Partenaire :

Medtronic of Canada Ltd (Brampton, ON);Research Institute of the McGill University Health Centre

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Research Institute of the McGill University Health Centre

Programme :

Accelerate

Natural language processing for Market Intelligence

LeadSift is a marketing intelligence platform that generates qualified leads by using signals from the public web to identify which companies are in the market for specific products or services. The company does so by sifting through unstructured public data so companies can easily identify, understand and engage in-market audiences with creatively relevant, personalized outreach. LeadSift’s platform processes millions of posts a day (such as twitter, web pages, blogs, etc.) and these data points are passed on directly to the customers that make it into their automated workflows via an application programming interface (API). As a result, companies can move their pipeline faster than ever before and make informed decisions. Given the data volumes that LeadSift’s platform processes, the company would like to design a detailed data analytics plan that includes using natural language processing (NLP) and machine learning to organize, structure and get value from unstructured data.

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Superviseur du corps professoral :

Pawan Lingras

Étudiant :

Partenaire :

LeadSift Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Saint Mary's University

Programme :

Business Strategy Internship

Development and commercialization of an enhanced biochar production technology

The goal of this MITACS funded project is to advance existing technology for the production of biochar from sustainably harvested woody biomass. Current technology limits the amount of biochar produced from the raw wood. This project will evaluate the increase in production of biochar by some 30%.
Biochar is a very resistant form of carbon that can be sequestered in soil and has a lifetime of approximately 500 years, making it a good means to reduce carbon in the atmosphere. Trees (often dead or dying trees) are harvested and the carbon tilled into the soil. The new trees will replace the harvested trees to capture CO2 from the atmosphere. In addition to removing carbon dioxide, the biochar is a significant benefit to plant growth, harvest yields, reduced fertilizer use, improved water use efficiency and a reduction in heavy metal uptake by plants. Science has suggested that the use of biochar could result in a very significant contribution to our goals or reducing greenhouse gas levels in the atmosphere while benefiting soil health.

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Superviseur du corps professoral :

Paitoon Tontiwachwuthikul

Étudiant :

Partenaire :

CSI Climate Change Solutions Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Language Roadmaps as Policy Instruments: A Comparative Analysis Federal Language Ideology

Language plays a central role in Canadian identity and nationhood. This project seeks to uncover, map and explain the effect of political ideologies in the development of language policy instruments, specifically language road maps/action plans. We will build upon existing research which establishes the validity of the Government of Canada’s Action Plans (2003-2008 & 2018-2023) and Roadmaps (2008-2013 & 2013-2018) as policy instruments. These instruments provide an excellent opportunity to better understand how political ideologies serve to interpret and reinterpret language rights and governance in Canada. Furthermore, this research will provide crucial data and information to our partner organization, the Federation des communautes francophones et acadienne, and its members, as they prepare to negotiate the next action plan for official languages (2023-2028), and will contribute towards the intern’s doctoral dissertation.

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Superviseur du corps professoral :

Rémi Léger

Étudiant :

Partenaire :

Fédération des communautés francophones et acadienne du Canada

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Simon Fraser University

Programme :

Accelerate

Timing perception and modulation via transcutaneous vagus nerve stimulation (tVNS)

Timing and time perception is found to be modulated by different brain networks. Nowadays, many non-invasive instruments are widely used to stimulate the brain and among them is transcutaneous vagus nerve stimulation (tVNS), which is a painless and non-invasive technology that gives the ability of modulating brain networks including the ones that are involved in timing perception.
In this project, the aim is to understand the effect of tVNS on timing perception. Furthermore, this project aims to understand how auditory-motor synchronization, which is a movement accompanied by timing skills, is going to be affected by deploying tVNS. To this aim, participants are going to be asked to synchronously move (finger tapping and walking) on the auditory rhythmic stimuli (simple metronome and rhythmic musical stimuli).

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Superviseur du corps professoral :

Simone Dalla Bella

Étudiant :

Partenaire :

Revai

Discipline :

Life Sciences

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Femmes et journalistes à l’ère numérique : recherche expérientielle de pratiques journalistiques sur les enjeux de genre

Je vais réaliser des entretiens avec des journalistes belges pour comprendre quels sont les obstacles et/ou les possibilités qu’elles rencontrent lorsqu’elles veulent produire des nouvelles sur des questions de genre (inégalités, points de vue divergents, remise en question des lois , etc). Ces entretiens serviront à créer un « coffre à outils » en partenariat avec l’Université Libre de Bruxelles, qui sera dédié aux étudiants en journalisme et aux médias pour les aider à produire de l’information davantage inclusive et diversifiée. Mon travail auprès de journalistes belges mettra l’accent sur l’impact des technologies numériques sur le travail des femmes journalistes et sur les solutions qu’elles envisageraient pour faciliter le travail des journalistes hommes et femmes lorsqu’ielles veulent produire une information sur le genre ou sur des enjeux liés au genre. Cette formation sera d’abord destinée au étudiants de la Maîtrise en journalisme de l’Université Libre de Bruxelles. Par la suite, elle pourra être intégrée à d’autres programmes en journalisme comme le DESS en journalisme de l’Université de Montréal.

Voir la description complète du projet
Superviseur du corps professoral :

Juliette De Maeyer

Étudiant :

Partenaire :

Université Libre de Bruxelles

Discipline :

Sociology

Secteur :

New and Digital Media; Information and Communications Technology; Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Simulation and Visualization of Flood and Drought events in Urban Areas

2020 and 2021 have seen an unprecedented number of natural disasters. According to the National Oceanic and Atmospheric Administration of the U.S. Department of Commerce, 2020 was the 5th warmest year ever recorded with a record number of tropical storms and wildfires throughout North America. Considering only 2020, the cost of these weather and climate disasters is estimated at 22 billion USD dollars [1]. Often these catastrophic events occur without warning and therefore cannot be prevented. However, proactive measures can be taken to mitigate risks and minimize damage. The objective of this project is to inform decisions in preventive measures and policy-making relating to natural disasters. Of particular interest are flood and drought event plaguing the Greater Montreal Area (GMA) in recent years.

Voir la description complète du projet
Superviseur du corps professoral :

Charalambos Poullis;Brigitte Jaumard

Étudiant :

Partenaire :

Presagis Canada Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Approximate Spin Processors (ASPs): an Energy-efficient Combinatorial Optimization Problem Solver for Edge Devices

Combinatorial optimization problems widely appear in various social and industrial applications, such as the vehicle routing and transportation problems. They are challenging to solve for traditional computing. Moreover, especially in edge devices, there is a high demand for in-time response and low power. However, the large energy consumption for these numerous operations and data fetches are the main obstacles for the hardware implementation of a problem solver. Our project will address the problem of time by using natural computing with parallel processing. Low-power techniques, such as approximate computing, are considered to boost computational and energy efficiency. This project provides a fresh perspective of how to improve the efficiency of solving combinatorial optimization problems. Taking the partner organization as collaborators, some findings will be submitted for publications or presentations. The intern is also willing to be included in the potential mentor group.

Voir la description complète du projet
Superviseur du corps professoral :

Jie Han

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

University of Alberta

Programme :

Accelerate

Wireless Overhead Line Temperature Sensor Based on RF Cavity Resonance, Design Improvement and Measurement

A wireless sensor has been designed to monitor overhead line temperature. The economic importance of this issue is to maximize the power transfer capacity of the lines. The sensor has two main parts, a local interrogator and a passive battery-less sensor. The power to turn on sensor comes from interrogator. The sensor measures the temperature, and transfers the data to interrogator for signal processing. The measurement accuracy of the sensor is reported to be about 0.07°C. There are some sources of error in sensor measurements. One of these errors is due to environmental noises and wireless interference. The objective of this internship has two parts. First is using the designed sensor to do measurements in different sites to monitor temperature and find the effect of interference on the results. This part is going to be done in about 1.5 month. For the next half, these results are going to be used to improve sensor measurement accuracy and decreasing the effect of interference on results.

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Superviseur du corps professoral :

Douglas Thomson

Étudiant :

Partenaire :

Smart Autonomous Solutions

Discipline :

Engineering

Secteur :

Utilities

Université :

University of Manitoba

Programme :

Accelerate

Improved ductility in extruded Al-Mg-Si alloys through texture and microstructure control

The use of aluminum alloys in automotive applications is increasing since this allows the weight of the vehicle to be decreased. This is beneficial for both internal combustion and battery powered vehicles, to increase fuel economy and increase vehicle range, respectively. However, in general, aluminum alloys are more difficult to form than steel and their performance during a vehicle crash may be challenging. Thus, it is necessary to understand the linkages between the production of the components and their performance. In many cases, components can be made by extrusion followed by heat treatment. The cooling conditions after extrusion and before heat treatment are important. Here, better mechanical properties are found with high cooling rates but higher cooling rates can lead to distortion of component shape which is not acceptable. The goal of this work is to develop models to predict performance based on processing conditions.

Voir la description complète du projet
Superviseur du corps professoral :

Warren Poole

Étudiant :

Partenaire :

Rio Tinto Alcan (Jonquière, QC)

Discipline :

Engineering

Secteur :

Manufacturing; Mining; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Investigating Effects of Stereoisomerism on Toxicology of Entactogens by Computational Methods

PharmAla have been focusing on developing MDMA (ecstasy) like drug compounds. MDMA assisted psychotherapy for treatment of PTSD received Breakthrough Therapy designation in August 2017. It is currently being evaluated in Phase 3 clinical trials. The toxicological biochemical mechanism of MDMA and MDMA like compounds should be better understood. Because of this gap an extensive literature search will be done in this project. Toxicological mechanism of MDMA and MDMA like drugs will be investigated by computational modeling tools. Novel Analogs synthesized by PharmAla Biotech Inc will form the basis of the research work. The aim is to utilize computational chemistry to predict safety and toxicological properties of the analogs.

Voir la description complète du projet
Superviseur du corps professoral :

James Gauld

Étudiant :

Partenaire :

PHARMALA BIOTECH INC.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Mobility-as-a-Service Equilibrium in Large-Scale Networks

Mobility-as-a-Service (MaaS) is a new concept that is introduced in the market through a mobile application, in which travelers of
a city can buy monthly packages based on the modes of transport that they often use. In order to develop a successful MaaS, it is
important to study which mobility companies will take part in it, and how many travelers will become customers of this service.
Through this project, we want to expand our current model, applicable to few zones of a city, to a real size network, reducing the
complexity of the representation while preserving the model accuracy. At the end of the project, the model will be applied to a real
case scenario in order to study the behavior of the different actors present in a MaaS system.

Voir la description complète du projet
Superviseur du corps professoral :

Emma Frejinger

Étudiant :

Partenaire :

Université du Luxembourg

Discipline :

Engineering

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

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