Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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Projects by Category

Improvement and automation of the aircraft painting process using autonomous unmanned aerial vehicles

Aircraft painting processes are very complex and involves several working stages. Besides, several highly skilled workers are required to work in a polluted environment for long periods of time. The automation of these processes would result in several benefits for both workers and companies. This project proposes the automation of aircraft painting processes using autonomous Unmanned Aerial Vehicles (UAV). It aims to prove whether a modified commercial UAV is capable of painting the different aircraft curved surfaces. The automation is expected to reduce over 30% of the material usage which will directly reduce the cost not only for the companies responsible for the aircraft painting but also for the airlines due to the reduction in weight.

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Faculty Supervisor:

François Morency

Student:

Partner:

Libellule Monde Inc

Discipline:

Engineering

Sector:

Aerospace; Advanced Manufacturing; Technology

University:

École de technologie supérieure

Program:

Accelerate

3D bioprinting hiPSC-derived neural tissues

Tissue engineering (TE) is the science focused on the creation of tissues that resemble the human physiology. The end goal of TE is to create tissues model diseases modeling, test therapeutics, and for regenerative medicine purposes. To create such tissues, a combination of cells, biomaterials, and growth factors are needed in order to create a suitable environment for the tissues to mature and survive. Human induced pluripotent stem cells (hiPSCs) have been widely used in the field of TE due to their abilities to become into any type of cell found in our body and create another stem cell. 3D bioprinting is a technique in TE that creates living tissues based on specifications provided in a digital file and can be patient-specific by using the cells from the own patient. TO BE CONT’D

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Faculty Supervisor:

Stephanie Willerth

Student:

Partner:

Aspect Biosystems Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Needle segmentation from 3D ultrasound images

In this project I propose to develop a robust and efficient needle segmentation method, which

will be used to localize and track the needle in three-dimensional (3D) ultrasound (US) guided

focal ablation therapy. 3DUS guided biopsy and minimally invasive therapy involves guiding

a needle into the lesion for biopsy (removal of tissue for pathological examination), and

ablation therapy (destruction of tissue). The Peters laboratory has developed image-guided

interventional technology, which makes use of 3D ultrasound imaging. Thus, fast

identification and segmentation of needles in a 3DUS image will allow improved guidance of

insertion of the needle and verification of the location of the needle with respect to the lesion

being biopsied or ablated.

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Faculty Supervisor:

Terry Peters

Student:

Partner:

Centre for Imaging Technology Commercialization

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Western University

Program:

Accelerate

A study on the application and mechanism of action of the lichen Umbilicaria muhlenbergii fractions on osteosarcoma and chondrosarcoma cells as a promising anticancer source

The purpose of this study is to determine the effect of the lichen Umbilicaria muhlenbergii fraction(s) on osteosarcoma and chondrosarcoma cells. MTT assay will demonstrate the activity of these fraction(s) against cancer cells. Appoptosis and inhibition growth analyses will be examined. The following objectives in the allocated time of five months (June 1-October 30, 2019) are planned:
1. Investigate the anticancer effects of selected fractions of U.muhlenbergii extracts on osteosarcoma and chondrosarcoma cells
2. Investigate and characterize the cell cycle control and apoptosis for the most effective lichen compound on cancerous cells
3. Detect and verify cell proliferation using a Ki-67 protein marker
The proposed experiments will allow us to compare the effect of lichen fraction(s) on bone cancerous cells. TO BE CONT’D

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Faculty Supervisor:

Pedram Fatehi

Student:

Partner:

Mayo Clinic

Discipline:

Life Sciences

Sector:

Education

University:

Lakehead University

Program:

Globalink Research Award

Surveying Shallow Water Habitats and Bathymetry in the Baltic Sea

Coastal areas are some of the most biodiverse environments in the world, and are constantly changing. Therefore, mapping projects for this near-shore area are extremely important. Many mapping procedures include optical methods, such as satellite imagery or underwater video, which is limited in effectiveness by cloud cover or water clarity. Other instruments, such as boat and autonomous underwater vehicle mounted sonar are limited by the vehicle’s maneuverability in very shallow waters or environments with many obstacles. A proposed solution to these limitations is an autonomous hovercraft, which can fly seamlessly from water to land, and begin collecting sonar data in waters as shallow as 10 cm. While the hovercraft was built and tested in Nova Scotia, I hope to expand this project to Germany and use this platform to map eelgrass. TO BE CONT’D

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Faculty Supervisor:

David Barclay

Student:

Partner:

Christian-Albrechts-Universität zu Kiel

Discipline:

Physics

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Stage de recherche, culture cellulaire pour la confection d’échafaudages dentaires

Dans le cadre du régime coopératif de l’Université de Sherbrooke, les étudiants au baccalauréat en génie biotechnologique doivent faire 5 stages. Celui-ci serait en fait le 4 ème du cursus de l’étudiante.

Ce stage est offert au centre de recherche CSPBAT, qui est en partenariat avec l’Université de Paris 13 avec, comme superviseure de stage, Mme Géraldine Rohman, chercheuse associée et maître de conférences à l’Université de Paris 13. Dans le cadre de ce stage, des entrevues avec le personnel du service de stage et de placement de l’Université de Sherbrooke (SSP), ainsi qu’un rapport traitant sur les compétences développées seront remis. Les compétences visées par le SSP sont suivies depuis le début du cursus académique de l’étudiante, et seront questionnées dans le but de les améliorer jusqu’à la fin de ce cursus. TO BE CONT’D

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Faculty Supervisor:

Patrick Vermette

Student:

Partner:

Université Sorbonne Paris Nord

Discipline:

Engineering

Sector:

Biotechnology

University:

Université de Sherbrooke

Program:

Globalink Research Award

Gender Testing in the International Olympic Committee

The International Olympic Committee (ICO) has been conducting sex tests since 1968, with a hiatus from 1990 to 2009, to determine the biological sex of self-identified female athletes. There have been three iterations of these tests: visual examinations, chromosomal tests, and hormonal tests. This research seeks to understand the justifications used in favor a particular test when it came to determine which would be best and develop a policy based on that decision. To do so, I will first work on archives which hold documents that pertain to the genesis of endocrinology. This will help understand the state, and genealogy, of the knowledge on which these decisions were founded. The focus in this part of the research will be on testosterone, its’ discovery, and the treatments and experiments it was used in in the early 20th century. TO BE CONT’D

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Faculty Supervisor:

Christopher McAll

Student:

Partner:

Technische Universität Berlin (Institut fur Mathematik)

Discipline:

Sociology

Sector:

Public Service, Policy, and Governance; Life Sciences (not health); Other

University:

Université de Montréal

Program:

Globalink Research Award

Estimation and detection under differential privacy constraints: applications to air transportation systems

Large scale monitoring and control systems are being increasingly deployed around us, from intelligent transportation systems to smart grids. In exchange of the benefits supplied by these systems, participating agents are required to continuously share data with these complex systems. This data often consists of highly privacy-sensitive information, including but not limited to location, power consumption traces or medical records, which can be used to compromise these agents’ privacy. For example, crowd-sourced road traffic prediction and routing applications, such as Waze and Google Maps, improve their accuracy by using
location data provided by smart-phones, but also continuously leak location information about the users of these devices. In the last few years, we have started to understand how to design signal processing schemes that formally preserve the privacy of data providers when some aggregate signal derived from this data must be shared. TO BE CONT’D

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Faculty Supervisor:

Jerome Le Ny

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program:

Globalink Research Award

Driver behaviour in response to potential hazards in a simulated environment

Driver error is a contributing cause of most motor vehicle collisions. Consequently, accident rates are much higher in scenarios where safe transit requires increased reliance on driver ability and decision-making. Intersections, for example, are potential conflict zones, because unexpected hazards are common. For accident reconstructionists, like those at Kodsi Engineering, understanding hazard response enables comparison of ongoing assignments with typical driver behaviour. This analysis further helps to inform expert opinions during insurance claim litigations and can affect the distribution of liability and compensation. While some experiments have been conducted to investigate unexpected hazard scenarios, there is limited research on right-turning and left-side approaching vehicles. Given the risks associated with studying driver behavior, these studies are most safely conducted in a simulator like the Oktal complete driving simulator at the University of Guelph. TO BE CONT’D

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Faculty Supervisor:

Michele Oliver

Student:

Partner:

Kodsi Engineering Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

CFD Simulation of a Gas Turbine Combustor

The work to be conducted in this intemship consists of the transient numerical modeling of a

combustion device using commercial computational fluid dynamics (CFD) codes. Validation

of the various sub-models is required and once the final model is complete various design

changes can be researched. The model will allow for variations in geometry, spray and

ignttion characteristics and timing of the combustion device. The work will coincide with a

current new engine project being carried out by the partner organization. The academic

supervi.ors have a wealth of knowledge with combustion and fluid modeling and will serve to

support the intem along with the partner organization in the completion of several tasks. In

completion the partner organization will have gained a useful combustion model and design

insights while the intem will have gained valuable research experience.

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Faculty Supervisor:

Seth Dworkin

Student:

Partner:

Pratt & Whitney

Discipline:

Engineering

Sector:

University:

Toronto Metropolitan University

Program:

Accelerate

Health Data Extraction Review Analysis Learning Device in Nephrology (HERALD-RENO)

Data has become a central part of any organization’s day-to-day operation. Organizations are looking to turn this information into actionable insight. The Dialysis Measurement, Analysis and Reporting System (DMAR) is designed to track healthcare quality indicators where changing practice will have high impact. The DMAR system applies rigorous methods to measure key health care performance measures and efficiently implement and measure change. By developing and implementing an engine like the Health Data Extraction, Review and Analysis Learning Device (HERALD), information could be automatically programmed directly within DMAR. OMM will benefit from research using HERALD because DMAR software would be perceived as more innovative and better able to scale since many of the organizations struggling with data quality do so because of high data volumes and manual preparation. Furthermore, using machine learning would ensure that data is coded and validated consistently.

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Faculty Supervisor:

Helen Chen;Catherine Burns;Catherine Burns;Helen Chen

Student:

Partner:

Oliver Medical Management Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

PetriCORE : Un outil pour aider à l’optimisation du code sur un supercalculateur

En recherche académique, les besoins d’analyse des chercheurs dépassent souvent les capacités de leurs ordinateurs à effectuer ces analyses. Calcul Canada est un organisme qui s’assure que les chercheurs canadiens puissent avoir un accès gratuit à des serveurs de calcul performants à la grandeur du pays. Nous tenons non seulement à un accès équitable aux ressources pour tous et à une utilisation efficace des ressources par nos membres, mais aussi à assurer une formation adéquate des nouveaux utilisateurs. C’est pour cela que nous aurons besoin d’un étudiant qui travaillera à l’élaboration d’un portail qui permettra aux chercheurs à la fois d’en apprendre plus sur leur code, mais aussi d’apprendre comment utiliser nos ressources plus adéquatement. Nous pourrons également cibler les utilisateurs ayant plus de difficulté pour leur offrir le support dont ils ont besoin pour éviter de reproduire des erreurs fréquentes.

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Faculty Supervisor:

Marc Parizeau

Student:

Partner:

Compute Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate