Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
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842
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8957
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9368
QC
96
PE
579
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1120
NS

Projects by Category

Improving tropical tree biodiversity mapping from drone imagery to support the scientific study and conservation of tropical forests

Rubisco AI is a startup that aims at monitoring forests worldwide to study their biodiversity using high resolution drop imagery. One of their core applications is to monitor tropical rainforest where tree identification and mapping is currently a very hard task: a single local biologist expert can only identify ~20 individual trees per day due to the difficulty of the task. By contrast, Rubisco AI’s technology could speed this up by at least 1000 x. Current field-based tropical tree inventories are a bottleneck to the overall understanding of tropical rainforests and their use for local communities, and how to protect forests from human activity and climate change. This project will leverage the momentum that both the industrial and academic partners have obtained by being part of the winning team in the XPRIZE Rainforest competition this past year. We developed a pipeline to go from high resolution drone imagery of forests to different forms of annotation, from bounding boxes of trees to segmentation maps of different species. One of the key issues we have encountered is that it is extremely challenging to obtain ground truth labels for less known tree species. A performant tropical rainforest tree segmentation and species identification AI pipeline would have a large number of applications to improve monitoring to help mitigate deforestation, biodiversity loss and climate change in those crucial ecosystems that hold most of the Earth’s terrestrial carbon and biodiversity. This will help to improve tree species distribution models, forests, biodiversity mapping, new species discovery, improved quantification of above-ground biomass/carbon stock and better atmospheric carbon flux predictions. It would also empower local communities as they could quickly and reliably monitor the forest ecosystems they manage and care for. Overall, this would be highly relevant to Rubisco AI and our overall canopy tree mapping solution using drone imagery and AI.

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Faculty Supervisor:

Christopher J. Pal

Student:

Partner:

Rubisco AI

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Objective Correlation Method Between Laboratory Direct Shear Tests and Field Measurements for the Evaluation of Joint Strength Parameters

Rock slopes and underground excavations are important aspects of mining, civil engineering and energy projects. The shear strength, or resistance to sliding, of rock joints (e.g., cracks and fractures) is the dominant component for stability of underground excavations and large rock slopes. Laboratory testing of these features is challenging, expensive and difficult to interpret. Emerging technologies, such as laser scanning, AI photo analysis and related technologies provide an opportunity to advance our capabilities to more accurately determine the strength and roughness of rock joints more objectively (less judgement-based), economically (computer aided engineering) and more accurately. This project aims to explore the combined use of some of these data analysis methods to develop a novel joint shear strength determination method to evaluate the statistically representative strength of samples observed during site investigation programs, such as core drilling and downhole drill hole wall imaging.

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Faculty Supervisor:

Andrew Corkum

Student:

Partner:

BGC Engineering Inc (NS)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Investigation on the Enhancement of Design and Manufacturing Processes through the Integration of Large Language Models and Vision Models

In the world of design and manufacturing, there is always a need to supply certain goods (parts, assemblies, materials, etc.) from a manufacturer to a buyer. In most cases, there is a wide variety of procurement options, and choosing the right supply is a complicated process that requires taking multiple factors into account. The optimal supply is difficult to achieve.
Axya makes collaboration between buyers and suppliers easier, faster, and more transparent. Its software optimizes the procurement process by offering simple technological solutions to facilitate and organize the sourcing process.
However, Axya’s optimization process involves the manual processing of engineering documentation, such as engineering drawings and manufacturing procedures. Machine learning techniques, namely Vision Transformers (ViTs) and Large Language Models (LLMs), could facilitate this process by automatically interpreting and extracting knowledge from this documentation.
Thus, the main goal of this project is to develop an adaptation technique for ViTs and LLMs that will equip them with the ability to interpret and extract domain-specific knowledge. The adapted models will speed up Axya’s engineering documentation processing workflow.

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Faculty Supervisor:

Yaoyao Fiona Zhao

Student:

Partner:

Axya Inc.

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

L’intervention par la nature et l’aventure en contexte Inuit : Regard sur l’implantation du programme Tuttuit et sur les mécanismes en oeuvre.

Depuis 2014, Nurrait | Jeunes Karibus (NJK) œuvre à titre d’OBNL pour promouvoir le développement personnel et social des jeunes du Nunavik par l’entreprise de programmes d’intervention par la nature et l’aventure (INA). Dans le cadre d’un de leur programme, nommé Tuttuit, NJK a pour objectifs l’identification des forces et intérêts des jeunes, l’acquisition de compétences issues des savoir-être et savoir-faire, la création d’un sentiment d’appartenance, la démonstration d’un progrès au niveau de l’autonomie personnelle et l’exploration du milieu professionnel. Dans un contexte interculturel et dans une perspective exploratoire et descriptive, le projet de recherche mettra en lumière le vécu des personnes participant au programme Tuttuit et permettra de décoder les mécanismes et les ingrédients actifs qui permettent à ce programme d’être un succès. Comme les initiatives en INA en contexte autochtone sont peu nombreuses, notre compréhension d’un tel programme nous permettrait donc de mieux comprendre comment s’articule cette modalité d’intervention en contexte Inuit.

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Faculty Supervisor:

Marie-Ève Langelier;Loïc Pulido

Student:

Partner:

Nurrait - Jeunes Karibus

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Ordonnancement multi-objectifs des projets comptables

Beeye développe des algorithmes avancés d’optimisation automatisée des tâches, spécialement conçus pour résoudre des problématiques complexes liées à la gestion des ressources. Ses activités principales comprennent la création d’un système de
planification automatisé qui s’attaque au problème de la planification multi-objectifs sous contraintes (MORCPSP). Ce système permet de gérer efficacement l’allocation des ressources, tout en équilibrant simultanément des objectifs parfois contradictoires, tels que la rentabilité, l’utilisation optimale des ressources et le bien-être des employés. Leurs principaux clients sont des entreprises de comptabilité et d’audit financier. À travers ce projet, Beeye vise à relever plusieurs défis majeurs : simplifier la complexité inhérente à la gestion de tâches multiples, répondre aux besoins spécifiques des clients en adaptant finement l’optimisation selon leurs priorités stratégiques, et permettre une prise de décision proactive grâce à des agents intelligents qui détectent et corrigent les écarts entre planifications idéales et réelles. Les bénéfices escomptés de cette initiative sont significatifs, tant sur le plan économique que social. Économiquement, le projet permettra aux entreprises clientes d’améliorer considérablement leur rentabilité, en optimisant l’allocation des ressources. Socialement, l’impact se traduira par une meilleure qualité de vie au travail, grâce à des charges de travail mieux réparties et une réduction du stress lié à la surcharge et aux échéances serrées.

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Faculty Supervisor:

Nadia Lahrichi;Antoine Legrain

Student:

Partner:

Beeye

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

Juniper Genomics Social Media Monitoring and Strategy Development internship

Juniper Genomics is a forward-thinking company that uses advanced genetic technology to help people going through IVF (in vitro fertilization) make more informed decisions and improve their chances of having a successful pregnancy. While their science is cutting-edge, they currently lack a strong digital presence, especially on social media. This makes it hard for potential patients, healthcare providers, and industry partners to learn about their services and the important work they do. The goal of this project is to build a structured social media monitoring and engagement strategy that helps Juniper Genomics better understand how people are talking about fertility and genomics online. Using a tool called Mentionlytics, the intern will set up systems to track mentions of the company, monitor industry trends, analyze competitor strategies, and measure how people feel about fertility-related topics. With this information, Juniper can refine their messaging, improve brand awareness, and stay responsive to the needs and concerns of their audience. The project will go beyond day-to-day tasks by establishing a long-term system for collecting insights and turning them into action. It requires knowledge of social media analytics, digital marketing, and competitive research. Weekly reports will be shared with the leadership team, and a final presentation will offer clear recommendations for how Juniper Genomics can grow its presence, connect more deeply with its audience, and continue to lead the conversation in fertility care. This work will help the company reach more people, share its mission, and stay ahead in a fast-changing industry.

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Faculty Supervisor:

Shirley Chen

Student:

Partner:

Juniper Genomics

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Wilfrid Laurier University

Program:

Business Strategy Internship

Advancing a Learning Health System for Mood Disorders

Many patients with mood disorders, which include major depression and bipolar disorder, continue to experience symptoms even after receiving treatment. Traditional research methods have helped improve care but often don’t reflect the realities of clinical practice, which slows progress in applying research to improve services. This project aims to support St. Joseph’s Healthcare Hamilton (SJHH) in becoming a Learning Health System (LHS)—an approach that uses ongoing data collection and analysis to improve care over time. The project will focus on the Mood Disorders Treatment and Research Clinic (MTRC) and has two main goals: first, to create a plan for how LHS can be adopted in the clinic by engaging patients, staff, and leadership, and second, to analyze existing clinical data to understand which patients are most at risk of continuing symptoms after treatment. These insights will help improve care for mood disorder patients and guide future research and service planning. For SJHH and the Research Institute of St. Joe’s Hamilton (RSJH), this project will demonstrate how data already collected in the electronic medical record can be used to support system-level improvements, providing a model that can be expanded to other clinical programs at SJHH.

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Faculty Supervisor:

Benicio Frey

Student:

Partner:

The Research Institute of St. Joe's Hamilton

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

McMaster University

Program:

Elevate

Efficient Computational Strategies for Calculating Orbital Energies Using pCCD-Based Methods

This project focuses on advancing computational methods for predicting ionization potentials (IPs) and electron affinities (EAs) of organic molecules, with a specific application to organic solar cells (OSCs). By leveraging Koopmans’ theorem within the orbital-optimized pair-coupled cluster doubles (oo-pCCD) framework, the project aims to efficiently compute these key electronic properties without costly gradient calculations. A benchmark dataset will be generated for organic acceptor molecules, widely used as donors in OSCs, to validate the method against experimental and high-level computational data. The results, including insights into energy level alignment and charge transfer properties critical for photovoltaic performance, will be integrated into the open-source PyBEST software and published on UNB’s DataVerse repository to support the development of high-efficiency OSC materials.

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Faculty Supervisor:

Stijn De Baerdemacker

Student:

Partner:

Nicolaus Copernicus University in Torun

Discipline:

Physics

Sector:

Quantum Science; Nanotechnology; Artificial Intelligence

University:

University of New Brunswick

Program:

Globalink Research Award

Optimizing Copper Extraction from Metal Sulfides Using Wetting Agents together with Thiocarbonyl Functional Group Reagents

This project explores the use of wetting agents containing thiocarbonyl functional groups to enhance copper extraction from metal sulfides. By investigating reaction mechanisms, optimizing reagent concentrations, and refining leaching conditions, the research aims to improve copper recovery while minimizing environmental impact. The study will assess the catalytic behavior and reaction kinetics of these agents in both stirred reactors and heap leaching setups, providing insights into their efficiency and sustainability. Additionally, rapid detection methods for the wetting agents will be developed to support process monitoring. This work contributes to more efficient and eco-friendly copper extraction from low-grade ores, advancing sustainable mining practices.

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Faculty Supervisor:

Derek Gates

Student:

Partner:

Jetti Services Canada Inc

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Elevate

Live Net Zero+ Project

Climate communication often uses doom-and-gloom messages that highlight the devastation of climate change, which can provoke negative emotions and might be counterproductive. Therefore, this project aims to test whether happy messages that highlight the personal happiness benefits of climate action can increase social media engagement and climate action across Canada. In collaboration with One Earth Living and Canadian Geographic, we will design happiness-based social media posts and host challenges via Canadian Geographic’s social media accounts that encourage Canadians to take climate action. These challenges will be based on the earlier stages of the Live Net Zero+ initiative, which saw two family challenges with a total of 13 families from across Canada compete to lower their household carbon emissions and win $50,000. Additionally, we will distribute a survey that asks people about the climate actions they currently take and those they would like to take in the future. People will be encouraged to take the survey at multiple timepoints throughout the project so that we can measure how their climate action and carbon footprint has changed over time as a result of these social media posts and challenges. We will also collect data on Canadian Geographic’s social media engagement (e.g., likes, comments, shares) throughout the project to examine whether this happiness-based messaging can impact social media engagement. Finally, we will also examine the long-term effects of these messages by collecting data again one month after the posts have ended. Results of this project will be used to inform strategies for scaling the Live Net Zero+ initiative and will provide One Earth Living and Canadian Geographic with evidence-based insights into how to engage the largest number of Canadians in climate action as possible.

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Faculty Supervisor:

Jiaying Zhao

Student:

Partner:

One Earth Living

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Business Strategy Internship

Influence des Représentations d’Attachement sur le Développement Psychopathologique de l’Enfant : Approches Projectives et Psychométriques

Ce projet de recherche explore l’influence des relations d’attachement sur le développement émotionnel et comportemental des enfants présentant des vulnérabilités développementales. En identifiant les profils d’attachement de ces enfants et en les comparant à ceux d’enfants au développement typique, nous chercherons à comprendre comment ces dynamiques affectent leur adaptation psychosociale. Nous examinerons également l’impact des représentations parentales de l’attachement sur leur perception des difficultés de leur enfant et leur accompagnement au quotidien. À l’aide d’outils d’évaluation validés, comme le MacArthur Story Stem Battery et l’Adult Attachment Projective, cette étude contribuera à une meilleure compréhension des interactions parent-enfant et proposera des pistes d’intervention adaptées pour renforcer ces relations et favoriser le bien-être des enfants et de leurs familles.

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Faculty Supervisor:

Marie-Julie Béliveau

Student:

Partner:

Université de Lausanne

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Capacity Building & Land-Based Program Development with Tasiutigiit Association

Tasiutigiit Association is a non-profit organization which started in the early 1990s to address the overrepresentation of Indigenous children in the child welfare system. It is evident that support for cross-cultural families is needed, including cultural competency/allyship programming and opportunities for the children to remain connected to their communities of origin. This year, Tasiutigiit was asked by the Montreal urban Indigenous community to create a space for younger Indigenous youth (aged 5-12) in the summer. As such, Tasiutigiit is collaborating with the Native Friendship Centre to create an opportunity for the younger youth to participate in a culturally safe, relevant, and caring land-based day camp through the summer. The general objective of this project is to support Tasiutigiit’s goals and aspirations for expanding organizational capacity to adequately meet the needs of their members, namely through co-creating new land-based programming. The intern will apply relational, respectful, and reciprocal frameworks to the work completed with the partner organization, which requires innovative knowledge in land-based pedagogy.

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Faculty Supervisor:

Catherine Richardson

Student:

Partner:

Tasiutigiit Association

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Concordia University

Program:

Business Strategy Internship

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