Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Optimization of residual stress of Ti-6Al-4V for Liquid Impingement Erosion Mitigation

The recent work done in collaboration with the group of prof. Bocher on water erosion mechanisms at ETS showed that the erosion in titanium Ti64 alloy compressor blades is based on crack initiation and propagation. These phenomena are dependent on material microstructure, as well as on the stress level. Ti64 alloys can have various types of microstructures and textures. Therefore, a better understanding of the impact of the microstructure and texture is required in order to define the optimum material condition. There are also various surface treatments allowing for introduction of compressive stress on the surface and subsurface region to decrease erosion rates. The residual stress field introduced to mitigate erosion needs to be designed as a function of stress field due to the high speed water impact. This will be achieved through the modeling of the high speed impact and resultant stress distribution..

View Full Project Description
Faculty Supervisor:

Philippe Bocher

Student:

Partner:

Rolls-Royce (Dorval, QC)

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Durabilité sociale du tourisme

Ce projet vise à opérationnaliser les critères de la durabilité sociale du tourisme, tel que définis par l’Organisation Internationale du Tourisme Social (ISTO), en développant une méthodologie appliquée et des fiches méthodologiques, afin de fournir aux acteurs touristiques des outils concrets pour mesurer et améliorer la dimension sociale de leurs pratiques.

View Full Project Description
Faculty Supervisor:

Maryse Boivin

Student:

Partner:

ISTO Amériques

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Montréal

Program:

Accelerate

Profil et concentrations des PFAS dans les biosolides

Les biosolides, issus du traitement des eaux usées municipales ou industrielles, peuvent être utilisés comme fertilisants pour enrichir les sols agricoles. Toutefois, leur sécurité environnementale soulève des préoccupations, notamment en raison des substances per- et polyfluoro-alkylées (PFAS), également appelées « contaminants éternels » en raison de leur persistance dans l’environnement. Ce projet de recherche, en partenariat avec Premier Tech Eau et Environnement, vise à mieux comprendre la présence de PFAS dans les biosolides. Une étudiante ou un étudiant de deuxième cycle développera une méthode optimisée pour extraire et analyser ces substances à l’aide d’une technologie de pointe : la chromatographie liquide couplée à la spectrométrie de masse.
Une fois cette méthode validée, les biosolides produits pendant dix semaines seront analysés pour vérifier leur constance en termes de concentrations et de types de PFAS. Les résultats seront comparés aux normes canadiennes et internationales afin d’évaluer les risques potentiels pour la santé humaine et l’environnement. Ce projet permettra non seulement d’éclairer les enjeux liés à l’épandage de biosolides, mais aussi de soutenir une gestion plus responsable et durable de ces matières.

View Full Project Description
Faculty Supervisor:

Céline Guéguen

Student:

Partner:

Premier Tech Eau et Environnement

Discipline:

Physics

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

In-depth characterization of a 6 qubit quantum processor

Equal1 aims to democratize quantum computing by making it accessible and affordable with its innovative quantum silicon technology. By integrating the entire quantum computing system onto a single chip, Equal1 aims to significantly reduce the size and cost of quantum computers, transforming their performance and scalability. Our technology is based on silicon spin qubits integrated with classical control electronics using standard microelectronics foundry processes. Silicon spin qubits made in academic labs have already demonstrated key milestones including single and two qubit gates above the error correction threshold [1-2]. Fault tolerant quantum computing will require taking the technology to the next step by building similar devices in an industrial foundry process, unlocking the unlimited capability of the microelectronics industry for scaling. Recently, Equal1 unveiled Bell-1, the first-ever rack-mounted silicon quantum computer loaded with a 6 qubit quantum processor [3]. This project aims to perform an in-depth characterization of our 6 qubits QPU to give us more insight on its performance.

View Full Project Description
Faculty Supervisor:

Bertrand Reulet

Student:

Partner:

Laboratoires Equal 1 (Canada) Inc.

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Assessing team functional state in emergency response

The need for better measurement of emergency response teams has been recognized as one of the key challenges that characterize the field of team work studies. Ideally, when assessing team performance, one should combine information about the nature of the team (e.g., what is the team structure?) and about its members (e.g., is one of the member exhausted?). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. For instance, how do you assess team member’s level of fatigue when deployed in the field? How do you integrate this information at higher level in order to assess team performance? The objective of the project is to develop and implement a model capable of online assessment of the capacity of the team to carry out its tasks. A better team assessment could, for instance, help organizations develop better training procedures or adapt resources allocation in real operational contexts

View Full Project Description
Faculty Supervisor:

Sebastien Tremblay

Student:

Partner:

Thales Canada Inc (Montreal, QC)

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology; Health and Related Sciences & Technology

University:

Université Laval

Program:

Accelerate

Intelligent Knowledge-based Digital Assistant for Enhancing Customer Service in a Fundraising Management Organization

Customer service operations in fundraising management organizations often face the challenge of handling large volumes of repetitive inquiries during high-demand periods such as festival seasons, raffle result announcements, and charity campaign launches. Traditional customer service support methods cause delayed responses due to limited staff availability, resulting in customer dissatisfaction. To address these challenges, we propose the integration of an AI-based digital assistant into an online fundraising management platform to streamline operations and enhance customer service for charity and non-profit organizations. The proposed work will leverage a combination of Natural Language Processing (NLP) techniques, Artificial Intelligence (AI), and knowledge bases to support the development of an intelligent digital assistant. Specifically, this project explores the integration of Oracle Digital Assistant with Large Language Models (LLMs) to create a context-aware and human-like conversational agent capable of understanding complex user queries and retrieving relevant information. The proposed AI-based digital assistant will reduce operational burden on human agents by automating common queries and supporting the delivery of timely responses to improve customer service satisfaction.

View Full Project Description
Faculty Supervisor:

Ralph Deters

Student:

Partner:

Tap 50:50 Event Consultants Ltd

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Saskatchewan

Program:

Business Strategy Internship

Statistical advancements in the analysis of migratory movements using a novel broad-scale automated radio-telemetry array.

Partnerships among researchers and corporations are continually pushing the advancement of animal tracking technology, allowing smaller animals to be tracked for longer periods, over greater spatial scales, and at finer scale spatial resolutions. Yet the statistical analyses of these data is lagging behind. Using a novel, state-of-the-art network of 57 automated telemetry arrays distributed across southern Ontario, we will develop statistical methodologies to quantify the migratory movements of birds. We will first estimate error around the estimated location of individual detections, and then incorporate observation error into Bayesian state-space models to quantify effects of sex, age, species and environmental variability on the direction, speed, and habitat use of migratory birds. Working together with Bird Studies Canada and Lotek Wireless Inc, this project will generate new information and new methodologies to inform ecologically sound wildlife management, policy and regulatory decisions. For example, it could help to guide the placement of wind turbines to minimize disturbance to migratory animals. All analytical and online visualization tools developed will be open-source and freely-available, which could lead to more users and the continued development and broader application of Lotek’s coded tag technology.

View Full Project Description
Faculty Supervisor:

Yolanda Morbey

Student:

Partner:

Birds Canada (ON);Lotek Wireless

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment; Energy and Utilities

University:

Western University

Program:

Accelerate

Apprentissage par renforcement guidé par l’humain pour l’entraînement de personnages virtuels autonomes – Une approche Human-in-the-Loop

L’industrie du jeu vidéo fait face à un défi majeur : créer des personnages virtuels intelligents qui s’adaptent aux utilisateurs tout en respectant la vision créative des concepteurs. L’apprentissage par renforcement (RL) permet aux agents virtuels d’apprendre par essai-erreur, mais fonctionne de manière entièrement autonome, sans possibilité d’intervention humaine pendant l’apprentissage. L’IA peut ainsi développer des stratégies techniquement optimales mais créativement inappropriées : comportements exploitant des failles, styles de combat irréalistes, ou personnalités incohérentes avec l’univers narratif.
Ce projet propose d’explorer et d’évaluer une approche d’apprentissage par renforcement guidé par l’humain (Human-in-the-Loop), afin d’investiguer comment les concepteurs peuvent influencer et orienter l’apprentissage des personnages virtuels en temps réel. Cette recherche vise à étudier les mécanismes de collaboration entre intelligence artificielle et expertise humaine dans le contexte de la création d’agents virtuels adaptatifs.
L’étude portera sur l’analyse de méthodes permettant aux concepteurs de définir des contraintes créatives, d’annoter les comportements appris par l’IA, et d’ajuster dynamiquement les priorités d’apprentissage. Cette approche permettra d’examiner comment garantir que les personnages développent des comportements sophistiqués tout en respectant les objectifs de conception. Les contributions scientifiques attendues incluront de nouvelles méthodologies d’intégration du feedback humain dans les algorithmes de RL, une meilleure compréhension des mécanismes de guidage créatif, et l’établissement de frameworks théoriques pour l’apprentissage collaboratif homme-IA.
Cette recherche contribuera à l’avancement des connaissances en apprentissage automatique guidé par l’humain, tout en établissant les bases scientifiques pour de nouveaux paradigmes d’interaction entre créativité humaine et systèmes intelligents adaptatifs.

View Full Project Description
Faculty Supervisor:

Fabio Petrillo

Student:

Partner:

Paralog

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Business Strategy Internship

Feasibility study of additively manufactured composite structures for deployable optics

Wyvern Inc., an Edmonton-based satellite imagery company, is partnering with Dr. Joanna Wong’s lab at the University of Calgary to develop lightweight, durable satellite components using advanced composite materials and additive manufacturing. Prototypes will be tested to ensure they withstand the harsh conditions of space, strengthening Canada’s space supply chain and advancing national priorities in defense, environmental monitoring, and sustainable space technology.

View Full Project Description
Faculty Supervisor:

Joanna Wong

Student:

Partner:

Wyvern

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Shear-stress measurements on an impulsively started cylinder

Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio seeks experimental data to validate their unsteady separation codes. To this end, an intern in Dr. Joseph Hall’s Turbulence and Flow Noise Laboratory is proposing to provide unsteady shear-stress data on the surface of an accelerating cylinder.

View Full Project Description
Faculty Supervisor:

Joseph Hall

Student:

Partner:

Envenio Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

Bio Gas Tank Design

The goal of Bay Precast Concrete is to develop a concrete holding tank for food waste and used cooking oil that is heated and also cooled. Thus controlling the temperature so that the product will not freeze in the cold weather and will not get too hot in the warm weather making the product more valuable to the the end user. Bay Precast wishes to patent this tank.

View Full Project Description
Faculty Supervisor:

Shannon Milutin

Student:

Partner:

Bay Precast

Discipline:

Engineering

Sector:

Manufacturing

University:

New Brunswick Community College

Program:

Business Strategy Internship

Identification of Blood Biomarkers for Diagnosis of Peripheral Arterial Disease

Persons with Peripheral Arterial Disease (PAD) and healthy individuals will be recruited for a study to identify novel blood biomarkers for the diagnosis of PAD. Participants will be matched for age and sex. They will have their Ankle Brachial Index (ABI) and pulse wave velocity (PWV) measured. They will then be asked to return to the clinic within two days to provide a fasting blood sample. The intern will conduct a literature review regarding potential biomarkers for PAD diagnosis and become familiar with the diagnostic capabilities and equipment developed by Koven Technology Canada. They will learn about potential approaches for developing a diagnostic kit (based on a panel of biomarkers) from both technical and marketing points of view. The intern will confirm the inclusion and exclusion criteria to distinguish persons with PAD from those who are healthy, and they will assist with obtaining the clinical samples. This research will serve as the basis for a subsequent study involving a comparative analysis of the blood samples by metabolomics to identify potential biomarkers. The intern will assist with the necessary correlation analysis for selecting compounds capable of serving as blood biomarkers for PAD.

View Full Project Description
Faculty Supervisor:

Peter Zahradka

Student:

Partner:

Koven Technology Canada Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate