Innovative Projects Realized

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

31132 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Développement d’un LLM capable de générer automatiquement du texte sous contraintes à des fin d’utilisation en orthophonie

La mission de PhonIA est d’aider les écoles, les orthopédagogues, les orthophonistes et les enseignants à mieux accompagner les élèves présentant des difficultés d’apprentissage. PhonIA a donc développé des outils automatisés de dépistage, d’évaluation et de suivi des difficultés d’apprentissage disponibles via une plateforme numérique. Ces outils permettent d’optimiser et d’améliorer les services professionnels. Les tâches fastidieuses comme: la
retranscription phonétique; l’analyse des erreurs; le suivi des performances; la formulation de recommandations sous forme de rapport sont ainsi simplifiées ce qui permet aux professionnels de se consacrer à des tâches nécessitant leur expertise et à haute valeur ajoutée. En plus de ces outils, PhonIA développe aussi des outils permettant la génération d’activités d’intervention spécifiques et individualisées sur la base des besoins identifiés et documentés grâce à ses outils d’aide à la décision pédagogique et clinique. Dans le futur, PhonIA planifie d’adapter son outil à divers cas d’usage dans le domaine de la cognition, du langage, de la parole, de la phonation, de la communication et des apprentissages.

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Faculty Supervisor:

Gilles Pesant

Student:

Partner:

Les Solutions PhonIA

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Quantum Simulations with Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDEs, fractional equations, and eigenvalue problems, making them particularly suited for quantum mechanics, where traditional numerical methods often face computational bottlenecks. The aim of this internship is to analyse the applicability of PINNs to a broad range of quantum simulation tasks such as solving the Schrödinger equation for multi-electron systems or simulating molecular dynamics for processes like silicidation. The intern will engage in hands-on scientific machine learning, contribute to improvements in quantum simulation, and acquire valuable skills in a rapidly evolving field.

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Faculty Supervisor:

David Cooke

Student:

Partner:

Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie

Discipline:

Physics

Sector:

Quantum Science; Technology

University:

McGill University

Program:

Globalink Research Award

Developing open source user tools for Planet’s hyperspectral remote sensing data

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training or tools. The intern will evaluate a range of existing open-source software tools used to process and analyze hyperspectral data, comparing their performance, ease of use, and technical features. This research will identify common challenges and recommend improvements that can make these tools more accessible to a wider community of users.
The project directly supports Planet’s efforts to improve access to data from its new hyperspectral satellite, Tanager-1, by guiding the development of a user-friendly, open-source Python library. The intern’s work will help Planet expand its customer base, support applied research, and contribute to broader goals in open science and environmental technology innovation.

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Faculty Supervisor:

Nasem Badreldin

Student:

Partner:

Planet Labs Geomatics Corp

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Integration and Further Development of the StarSpec InspireSAT Attitude Determination and Control System

New rocket share technology has made putting things in space (particularly in low orbits around the Earth) cheaper than ever before. In this project the student intern will help to prepare a new type of small satellite, the InspireSAT from StarSpec Technologies Inc., which will have a first launch in late June or July 2026. InspireSAT is specially designed so that it can point at different locations or on Earth very precisely, which makes it an excellent platform for Earth monitoring or space telescopes. The student will also work on improving the methods used to build and test new InspireSATs, and will investigate ways to operate InspireSAT for different types of satellites (for example communication, or tracking space debris).

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Faculty Supervisor:

Laura Fissel

Student:

Partner:

StarSpec Technologies Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

Phytoextraction of metals in leachate through crop irrigation

This project aims to explore the uptake of metals in leachate water by Tallwheatgrass phytoextraction. Leachate water is costly to treat and often requires off-site transportation. In addition to being cost intensive, this is also a high energy consuming process. By utilizing phytoremediation, we can provide a sustainable, affordable, and environmentally friendly alternative to shipping leachate and treating through chemical processes. To sustainably explore this treatment strategy, we need scientific expertise, analysis, and observation. This project involves the engineering of automated systems (pumps, irrigation sprinklers, moisture monitors, weather stations, etc.), plant science, soil science, and agronomy, as well as scientific environmental monitoring. By partnering with MITACS our intern will help provide this scientific observation and analysis at an advanced academic level, focusing specifically on metal uptake and mass balance.

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Faculty Supervisor:

Qiuyan Yuan

Student:

Partner:

Crocus Environmental

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

University of Manitoba

Program:

Accelerate

Using an Aneuploid Mouse Embryo Model to Uncover miRNA Indicators of Human Embryo Developmental Potential

The proposed research project aims to improve IVF (in vitro fertilization) by making it safer, more accurate, and less stressful for patients. It achieves this by developing a new, non-invasive method to determine whether early-stage embryos have the correct number of chromosomes. Instead of the current method, which involves taking a small sample from the embryo, our study will test for specific molecules called microRNAs that embryos naturally release into their surrounding fluid. By comparing microRNA patterns from healthy and abnormal embryos, first in mice and then in samples from patients at a fertility clinic, this research seeks to reliably identify embryos with the highest chances of leading to a successful pregnancy without harming the embryo. This project could increase IVF success rates, lower costs, lessen the emotional burden on families, and help keep the fertility clinic at the London Health Sciences Centre at the forefront of fertility care and technology in Canada.

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Faculty Supervisor:

Dean Betts

Student:

Partner:

London Health Sciences Centre

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of Western Ontario

Program:

Accelerate

Quantum-Enhanced Double DQN for Real-Time Bus Scheduling: A Comparative Study

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require increasingly stringent performance standards, classical deep reinforcement learning (DRL) architectures face fundamental limitations in scalability, convergence speed, and sample efficiency.
Quantum computing offers a transformative paradigm that leverages quantum mechanical phenomena—superposition, entanglement, and interference—to process information in fundamentally novel ways. Quantum neural networks (QNNs) and variational quantum circuits (VQCs) demonstrate potential for exponential representational capacity and accelerated convergence in specific learning tasks. This research proposes to develop and evaluate a Quantum-Enhanced Double DQN (QE-DDQN) that integrates quantum computing components with our existing classical framework.

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Faculty Supervisor:

Saeid Saidi

Student:

Partner:

The University of Melbourne

Discipline:

Engineering

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Building Green Futures: A Business Development Toolkit for Immigrant Entrepreneurs in the Circular Economy

The project will create a practical toolkit to support immigrant entrepreneurs in developing environmentally focused, community-based businesses. It advances climate action and economic inclusion through circular economy strategies in Newfoundland and Labrador.

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Faculty Supervisor:

Charles Mather

Student:

Partner:

Expertise Hub Cooperative

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Motor-powered pediatric prosthetic knee joint

Prosthetic knees are essential for transfemoral amputees, enabling more natural movement, reduced energy use, and increased independence. Active prosthetic knees (APKs), which use motor-powered actuation to mimic muscle function, further improve gait efficiency, balance, and weight distribution—benefits especially crucial for children. However, current APKs are designed for adults and are too heavy and bulky for paediatric users, creating a gap in the market. Bionic Power Inc.’s Agilik device, a lightweight smart orthosis for children, shows promise for adaptation into a powered prosthetic knee. This project will evaluate the actuator’s performance for torque and battery life in a prosthetic context and aims to create the first pediatric APK, aligning with Bionic Power’s mission to enhance children’s mobility.

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Faculty Supervisor:

Jan Andrysek

Student:

Partner:

Bionic Power

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Développement d’une solution d’inspection de quais portuaires par drone sous-marin, photogrammétrie et intelligence artificielle

Le Port de Sept-Îles, premier port minéralier en Amérique du Nord, célèbre 25 ans d’indépendance. Depuis 1999, il mise sur l’innovation, le développement durable et des partenariats solides pour soutenir la communauté. Avec une capacité annuelle de 100 millions de tonnes, il joue un rôle central dans le développement régional et international. Dans ce contexte, le PSÎ ne cesse de promouvoir l’innovation pour par exemple améliorer ses procédés d’opération. C’Est ainsi que le PSÎ souhaite disposer d’une solution d’inspection de ses quais portuaires par drone sous-marin pour remplacer la solution traditionnelle qui consiste à employer des plongeurs qui sous l’eau prennent des images de ce qu’il considère comme des défauts : il en résulte une imprécision sur la localisation des défauts, une qualité parfois médiocre des images complexifiant donc l’évaluation de la criticité des défauts et une dangerosité pour les plongeurs. La solution d’inspection par drone sous-marin, photogrammétrie et entraînement de modèle IA permettra in fine, de générer un rapport d’inspection géolocalisant les défauts avec leur niveau de criticité permettant ainsi de planifier les opérations de maintenances de ces quais portuaires.

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Faculty Supervisor:

Liam Paull

Student:

Partner:

Centre d'entrepreneuriat et de valorisation des innovations de la Côte-Nord

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Airmarket-iART Safety Assessment

Transport Canada is the regulatory agency in Canada that oversees the certification of RPAS (Remotely piloted aircraft systems) and has presented a roadmap for RPAS manufacturers to demonstrate the evidence that a given platform can meet safety objectives. The project will be completed by the iART alliance and aims to develop the technical evidence required to produce this declaration, which is required to demonstrate compliance with the regulatory requirements set by Transport Canada. This will be done through an in-depth analysis to ensure system safety and reliability to produce the declaration to be submitted to Transport Canada by the manufacturer, Censys Technologies. Airmarket specializes in air traffic management for drones, ensuring that crewed and uncrewed aircraft can operate safely in shared airspace for BVLOS (Beyond Visual Line of Sight) operations. BVLOS capability can improve Canadian lives, and applications of BVLOS operations include infrastructure monitoring, wildfire suppression, wildfire mapping, forest health assessments, and much more. This initiative will go beyond routine business operations by establishing a scalable framework that enhances safety and accelerates adoption for manufacturers. Given all the benefits of BVLOS operations, such operations are still high-risk and can result in serious complications if not conducted safely. This project will lay the foundation for successful BVLOS operations across Canada and will allow Airmarket to assess the safety and demonstrate the applicability of Saentaro aircraft in the applications mentioned above.

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Faculty Supervisor:

Jeremy Laliberté;Michael Lipsett;Michael Lipsett;Jeremy Laliberté

Student:

Partner:

AirMarket

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services; Transportation and warehousing

University:

Carleton University; University of Alberta

Program:

Business Strategy Internship

Emergency Department (ED) Wait Times at Waterloo Regional Health Network (WRHN) – ED Challenge

Despite numerous system interventions, emergency department (ED) wait times at Waterloo Regional Health Network (WRHN) remain a critical challenge. As part of an Innovation Partnership Procurement by Co-Design initiative led jointly with the University of Waterloo under the CareNext Coalition, WRHN is now engaging vendors and internal stakeholders to co-develop novel interventions that improve patient flow and care experience.
This project seeks to embed a PhD-level intern with advanced expertise in health systems, policy analysis, and clinical evaluation to assess the impact of pilot innovations. The intern will work closely with WRHN’s Innovation and ED teams to evaluate outcomes from both a clinical efficiency and user experience lens, while also identifying enabling or obstructive policy frameworks. The intern will be instrumental in informing procurement decisions and policy recommendations for scale-up.

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Faculty Supervisor:

Karen Cochrane

Student:

Partner:

Waterloo Regional Health Network

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Business Strategy Internship

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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.