Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Bovine Oligosaccharides and their Effects on Neonatal Calf Gut Function, Microbial Composition, and Development

Newborn calf health is a major challenge, with digestive disorders being one of the main causes of illness, leading to antimicrobial use in the first week of life. While colostrum provides immune factors needed to achieve passive immunity, it also contains prebiotic sugars called oligosaccharides (OS). These sugars are under researched in calves but are shown to improve gut function in human infants as OS feed beneficial bacteria (Bifidobacterium) within the gut. We will test OS supplied by Denkavit to determine what the optimal dose is to stimulate Bifidobacteria growth isolated from neonatal calves. Results will allow Denkavit and its Canadian partner Grober Nutrition advance their understanding of their additive products to potentially add to milk replacer to help improve gut function in calves. This work will overall support the development of more advanced feeding strategies, reduce antimicrobial use, and will help bring innovative, research-driven products to the Canadian and global dairy markets.

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Faculty Supervisor:

Michael Steele

Student:

Partner:

Denkavit;Grober Nutrition Ltd.

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Outils d’évaluation ESG pour les projets numériques

Le projet vise à initier le développement d’un cadre méthodologique ESG que les organisations pourront utiliser pour mieux évaluer l’impact environnemental, éthique et social de leurs projets numériques, et qui pourrait être intégré dans l’outil d’évaluation des projets numériques de Prompt.

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Faculty Supervisor:

Martin Noel

Student:

Partner:

Prompt

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université TÉLUQ

Program:

Business Strategy Internship

Breast density measurement tool

Lululemon develops and markets athletic apparel including women’s bras. Some women experience difficulty finding the appropriate bra to achieve adequate support without discomfort [1]. Lululemon is experienced in tissue biomechanics models of the breast including measurement of tissue movement, forces and accelerations in an effort to better understand the complex issues around bra performance. Nevertheless, gaps remain in this understanding, and current measurement tools do not provide measurements of all tissue properties, such as breast density. Therefore, opportunities exist to keep improving bra design and fitting. UBC has expertise and novel technology in the measurement of tissue biomechanics including ultrasound-based measurement tools. Ultrasound has been used successfully in women’s health, for almost a century, such as during pregnancy, because of the safe nature of the ultrasound waves and the rich information in the ultrasound signals. This project aims to develop a portable breast density measurement tool that is accurate and easy to use. Such a tool will be used by Lululemon in fundamental research on tissue biomechanics such as enhancing their computational models of the breast. In the longer term, such a tool can be envisioned for use in customized/personal fitting and for adaptive apparel.

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Faculty Supervisor:

Robert Rohling

Student:

Partner:

Lululemon

Discipline:

Physics

Sector:

Manufacturing; Retail trade

University:

The University of British Columbia

Program:

Accelerate

Leveraging Agentic AI to Detect and Mitigate Shilling Attacks for Enhanced Robustness in Recommendation Systems

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model that monitors user behavior patterns, detects suspicious activities, and dynamically adjusts recommendation outputs to maintain system integrity and user trust.

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Faculty Supervisor:

Rasha Kashef

Student:

Partner:

Nile University

Discipline:

Computer science

Sector:

Education

University:

Toronto Metropolitan University

Program:

Globalink Research Award

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

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