Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Incorporation and Optimization of Allometric Equations for a Proprietary Forest Carbon Accounting Software Package

ICG has developed proprietary LiDAR based software to quantify carbon sequestration in every individual tree across large landscapes. This technology promises to bring unbiased and verifiable accounting to the rapidly evolving forest carbon offset sector. The Intern will work with ICG software developers to incorporate and optimize allometric equations for specific areas of interest. The optimization step needs to include the incorporation of an extensive field collected data set and modification of the allometric equations for the specific areas of interest. Additionally, the output data needs to align with the required inputs for the Carbon Budget Model of the Canadian Forest Sector (CBM_CSF3) and the equations required to calculate carbon offset credits in accordance with the various forest carbon offsetting protocols across Canada.

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Faculty Supervisor:

Andrew Fiori

Student:

Partner:

Innovatree Carbon Group Ltd

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

University of Lethbridge

Program:

Accelerate

Integrating Genetics and Biometrics in Machine Learning for Enhanced Depression Diagnosis and Treatment Prediction

We are embarking on an exciting research project that aims to enhance how we diagnose and treat depression in young adults aged 18-29. Our team will use machine learning to better understand how a person’s genetic makeup and life experiences can affect their mental health. Specifically, we will enhance a tool called YMI, developed by our partner, nDatalyze. YMI already uses technology to predict mental health conditions, but we plan to make it even more accurate by including genetic information. The end goal is to make it easier and more accurate for healthcare professionals to diagnose depression and choose the best treatment options for each individual. For nDatalyze, this means their tool becomes more advanced and valuable, potentially leading to wider use in the healthcare field and helping more people get the right treatment for their mental health needs.

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Faculty Supervisor:

Dale Dale Stevens

Student:

Partner:

nDatalyze Corp.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

York University

Program:

Accelerate

Analyse du comportement vibratoire des escaliers monumentaux

Ce projet de recherche vise à améliorer la conception des escaliers monumentaux en étudiant leur comportement
face aux vibrations. Les stagiaires utiliseront des modèles informatiques et réaliseront des essais sur de vrais
escaliers pour mieux comprendre leurs réactions dynamiques. L’objectif est d’ajuster les normes actuelles pour
garantir des escaliers plus sûrs, économiques et confortables. L’organisation partenaire bénéficiera de
recommandations plus précises pour la conception des escaliers, réduisant ainsi les risques d’erreurs. En
comprenant mieux les vibrations, les ingénieurs pourront concevoir des escaliers plus efficacement, favorisant la
sécurité et le confort des utilisateurs, tout en optimisant les coûts de construction pour l’avenir.

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Faculty Supervisor:

Nathalie Roy

Student:

Partner:

DPHV

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Metagenomic study of dechlorinating microbial communities in vitro and in situ

The project is focused on study of commercial microbial cultures for biological remediation of soils and ground waters contaminated by chlorinated organic. The successful elaboration and improvement of the products requires analysis on molecular-genetic level and developing of specific techniques (16S pyrotag pipeline) for microbial communities profiling and metabolic reconstruction. The work benefits to industry partner by providing comprehensive information on functional and taxonomic structure of the studied microbial communities. Implementation of semi-automatic procedure for tracking of the microbial communities structure is crucial for efficient managing of the bioremediation and provides SiREM lab a new ready-to-use service which significantly improve technical support of clients.

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Faculty Supervisor:

Elizabeth Edwards

Student:

Partner:

SiREM

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology; Environmental Science and Technology; Sustainability & the Environment

University:

University of Toronto

Program:

Accelerate

Designing new multimodal data analysis approaches by geometry, topology and data diffusion

Our goal is to uncover patterns and structures hidden in complex biological data measured at the single-cell resolution. We propose to incorporate multiscale information, comprising both local and global information, to describe the shape of datasets as a whole. Current work typically only focuses on local structures, like groups of similar cells and transitions between them, missing out on describing the underlying organizational principles of data. Here, we will develop quantitative methods by making use of our recent work on diffusion condensation, a process that summarizes data at different resolutions that go from very fine-grained to very coarse-grained. We will tackle challenging tasks in single-cell data analysis, such as removing biases like batch effects from the data collection process and combining multiple modalities, i.e., datasets measured with different instruments. Our methods will incorporate information at multiple scales of locality, ranging from local to global, thus enabling the robust identification of patterns in the data that (a) represent the underlying biology and, (b) are shared across datasets. This research bears the promise of leading to novel insights of complex disease mechanisms, helping domain scientists like biologists to make sense of their data and assist them in hypothesis generation.

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Faculty Supervisor:

Guy Wolf

Student:

Partner:

Helmholtz Centre Munich

Discipline:

Computer science

Sector:

Artificial Intelligence

University:

Université de Montréal

Program:

Globalink Research Award

Sauvetage de l’économie Vietnamienne par la conversion de projet de logements commerciaux en logement sociaux : analyse des impacts de cette nouvelle forme de production du logement social à Hanoï.

À la suite de la crise immobilière de 2008, le gouvernement vietnamien met en place des politiques favorisant la conversion de projets de logements commerciaux en logements sociaux. En raison du grand nombre de promoteurs cherchant à convertir leurs projets, la planification du logement social par l’État se voit bouleversée. Il est donc d’intérêt d’en analyser les impacts pour les résidents et leur intégration à l’échelle locale et métropolitaine. Premièrement, la recherche dresse un portrait de la production du logement social au Vietnam avant ces politiques. Deuxièmement, elle identifie les politiques de sauvetage de l’industrie immobilière et les projets qui en sont issus. Troisièmement, elle analyse les forces et faiblesses de ce nouveau mode de production sur la base de la localisation, l’accès aux services publics et aux centres d’emplois et la typologie des projets. Cette étude mènera à la formulation de recommandations d’interventions et/ou de politiques permettant de mieux guider leur développement et améliorer leur intégration.

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Faculty Supervisor:

Danielle Labbé

Student:

Partner:

National University of Civil Engineering

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Novel therapeutic development for early-stage abdominal aortic aneurysm treatment

Abdominal aortic aneurysms are a critical cardiovascular disease with a mortality rate over 80% when ruptured. With limited treatment options, especially for early-stage aneurysms, this project proposes the use of a novel therapeutic to limit growth and effectively treat early-stage AAA. The overall objective is to develop and evaluate the efficacy of stem cell delivery within optimally formulated elastin-collagen composite scaffolds to limit wall dilatation and restoring elastin-producing smooth muscle cells to the abdominal aorta. Through collaborative efforts combining the complementary sets of expertise and skills of participating institutions, this interdisciplinary initiative not only aims to enhance treatment efficacy but also lays the groundwork for synergistic collaborations applying engineering principles to biomedical problems, ultimately benefiting both institutions involved and broader biomedical research.

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Faculty Supervisor:

Kristina Rinker

Student:

Partner:

Stanford University

Discipline:

Engineering

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Imitation d’un essai contrôlé randomisé à l’aide de données administratives : application à la prématurité et au suicide au Danemark

Le suicide est un enjeu majeur de santé publique représentant environ 700 000 décès par an dans le monde. Alors que la prématurité concerne environ 10% des naissances, les études corrélationnelles ont montré des associations inconsistantes entre la prématurité et le risque de suicide. Ainsi, nous ne savons pas si cette relation reflète une conséquence de la prématurité ou résulte d’expositions concomitantes confondant cette association. Dans l’impossibilité de conduire des essais contrôlés randomisés pour contrôler ces facteurs de confusion, les techniques statistiques d’inférence causale offrent une opportunité unique pour mieux comprendre si ces associations reflètent des mécanismes causaux. Ce projet utilisera les données des registres administratifs danois (n=4 500 000), pour répondre à deux objectifs : 1/ étudier le potentiel effet causal de la prématurité sur le risque de suicide au cours de la vie ; 2/ étudier les effets des stades de prématurité et le rôle du sexe. Cette étude sera la plus large conduite sur la relation entre la prématurité et le risque de suicide ultérieur et la première à utiliser des méthodes d’inférence causale. Ces résultats contribueront à l’amélioration des stratégies de prévention des comportements suicidaires via une meilleure compréhension des facteurs contribuant à l’étiologie du suicide.

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Faculty Supervisor:

Sylvana Côté

Student:

Partner:

Danish Research Institute for Suicide Prevention

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

An automated cloud-based pipeline for Preclinical MRI Analysis

The proposed research project is aimed at developing an automated MRI-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies and has the potential to re-define the world of early drug development.

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Faculty Supervisor:

Chris Joslin

Student:

Partner:

Tessellis Ltd.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Development of Affordable Housing Options on Vacant Lands

The objective of this project is to complete a needs assessment and feasibility study and develop a land usage recommendation to SJHC that will best fit within the SJHC Mission to meet the unmet needs within the community. The intern would work through the Blueprints Program utilizing the guidelines and templates that are appropriate to determine what type of facility would best fit with the Mission of SJHC and met the unmet housing needs of the City of Greater Sudbury.

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Faculty Supervisor:

Parveen Nangia;Thomas Strickland

Student:

Partner:

St. Joseph's Health Centre of Sudbury

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Laurentian University

Program:

Business Strategy Internship

Distribution and Neighbourhood Deprivation Pattern of Unintentional Home Injuries in British Columbia, Canada

Unintentional home injuries are a significant public health problem in British Columbia (B.C.), Canada. They can happen to people of all ages and are often influenced by various social and economic factors. This research project aims to address this issue by examining different aspects of unintentional home injuries and findings ways to prevent them. In this research project, the intern will closely work with the Pacific Public Health Foundation, which will provide essential logistical support in conducting data-driven research to address health inequities in B.C. This project will contribute to Pacific Public Health Foundation’s initiatives surrounding improving population health by informing injury prevention strategies, and fostering diversity and inclusion in injury research.

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Faculty Supervisor:

Audrey Giles;Ian Pike

Student:

Partner:

Pacific Public Health Foundation

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

University of Ottawa

Program:

Accelerate

Electrotactile Tongue Display for Force Feedback during Robotic Teleoperation

This project, a collaborative effort between TU Munich and the University of Calgary, aims to use an innovative electrotactile tongue display system for robotic teleoperation in surgery. In robotic-assisted surgeries, surgeons lack the direct ‘touch’ feedback that traditional surgery offers, often leading to a reliance on visual cues for force application. This gap can affect precision and safety in surgical procedures. The proposed system will provide force feedback through electrical signals to the surgeon’s tongue, creating a direct form of tactile sensation. This novel approach is designed to compensate for the absence of direct hand-to-tissue contact in robotic surgery techniques currently used. Research indicates that haptic feedback can significantly improve the precision and safety of surgical tasks. It reduces the force applied, thereby minimizing potential tissue damage and enhancing overall surgical efficiency and accuracy????. The project’s benefits extend to both participating institutions. TU Munich will gain recognition for pioneering advanced medical technology, while the University of Calgary will enhance its research portfolio in human-computer interaction within healthcare. Overall, this project promises to make robotic surgeries safer and more intuitive, benefiting both the medical community and patients.

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Faculty Supervisor:

Aditya Shekhar Nittala

Student:

Partner:

Technical University of Munich

Discipline:

Computer science

Sector:

Information and Communications Technology; Health and Related Sciences & Technology

University:

University of Calgary

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.