Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
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842
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8957
ON
9368
QC
96
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579
NB
1120
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Projets par catégorie

XEOS Imagerie : Cartographie par IA des ponceaux et des fossés en 3D

XEOS Imagerie a développé une grande expertise en cartographie par intelligence artificielle notamment à partir
de nuages de points lidar en 3 dimensions. Ce projet de recherche vise à cartographier automatiquement par
intelligence artificielle les fossés et les ponceaux à partir de nuages de points lidar aériens. Toutes les méthodes
existantes utilisent un modèle numérique de terrain. XEOS Imagerie a pour objectif de mettre en ?uvre une
méthodologie innovante combinant la segmentation sémantique et la segmentation d?instances afin d?identifier
les ponceaux et les fossés directement dans les nuages de points LiDAR, sans recourir à la rasterisation.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Éric Guilbert

Étudiant :

Partenaire :

XEOS Imagerie

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Improved Error Bounds for Trotter-based Hamiltonian Simulation

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Voir la description complète du projet
Superviseur du corps professoral :

Nathan Wiebe

Étudiant :

Partenaire :

Xanadu

Discipline :

Physics

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Linear driver PAM4 optical transceivers

Axonal Networks and Concordia University are working together to develop low-power, high-throughput optical transceivers using linear drive techniques. This technique avoids extensive in-transceiver digital signal processing and clock/data recovery in favour of modest equalization, relying on the linearity of the channel and the equalization capabilities of the host chips at the ends of the optical links. The supported intern will develop an extensive link model and oversee the develop of a transceiver prototype.

Voir la description complète du projet
Superviseur du corps professoral :

Glenn Cowan

Étudiant :

Partenaire :

Axonal Networks

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Defining the sphere of influence: the distribution of non-vent megafauna around active hydrothermal vents

Interest in mining deposits formed at deep-sea hydrothermal vents for minerals that are required for the transition to clean energy technologies has increased. However, animal communities at hydrothermal vents and the surrounding deep-sea have not been well characterized. Many of the animals at hydrothermal vent sites, such as deep-water corals and sponges, are indicators of Vulnerable Marine Ecosystems and require management interventions for their protection. The proposed research aims to better characterize biological communities on inactive deposits surrounding active hydrothermal vents and to determine factors that may be regulating their occurrence. The results of this research will be disseminated by Oceans North as materials relevant to marine management and policy makers, contributing to a comprehensive management strategy that does not currently exist for hydrothermal vent ecosystems.

Voir la description complète du projet
Superviseur du corps professoral :

Anna Metaxas

Étudiant :

Partenaire :

Oceans North

Discipline :

Life Sciences

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Control of a Self-Organizing Network of Quadrotor Vehicles Interacting with Real-Time Acoustic Signals

Networks are pervasive in our world. From migrating birds flying in formation, to social groups, wireless networks, world-wide web, the examples are endless. Migrating birds, such as the Canada goose, are a good example of a network between agents where information is communicated based on real-time musical (acoustic) signals. Inspired by this example, the research problem being addressed in this proposal is the real-time autonomous response of a network of quadrotors to acoustic inputs in a choreographic performance. This is an open and challenging problem because the control algorithm must react in real-time to musical inputs that are unknown a-priori. This work will be done in collaboration with Pleiades Robotics. Pleiades is a Canadian company that has recently announced plans to release a new design for a quadrotor robot called Spiri.

Voir la description complète du projet
Superviseur du corps professoral :

Luis Rodrigues

Étudiant :

Partenaire :

Pleiades Robotics;Echoer Canada Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Answer Quality Assessment for Retrieval-Enhanced Generation via Conformal Relevance and Factuality

This project focuses on improving the reliability of AI systems that generate answers using external databases, known as Retrieval Augmented Generation (RAG) systems. While these systems help reduce inaccuracies, it’s still hard for users to know how trustworthy or relevant the answers are. To address this, the intern will explore a new method that evaluates the quality of RAG-generated answers by providing clear confidence scores and conformal prediction set without needing predefined answers for comparison. The approach will use a technique called conformal prediction to ensure reliability across various aspects like factual accuracy and relevance. The research will involve reviewing existing methods, identifying gaps, developing new theoretical approaches, and testing them on real-world datasets. For the partner organization, this project offers a scalable framework to evaluate and improve the trustworthiness of AI-generated content. The outcome can help enhance user trust in AI systems, especially in critical applications like customer support, financial, and healthcare, where reliable information is essential.

Voir la description complète du projet
Superviseur du corps professoral :

Ga Wu

Étudiant :

Partenaire :

Layer 6 AI

Discipline :

Computer science

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Development of a flexible, multi-element eddy current array probe for automated 3D surface : Phase 1

This research project, a partnership between UQTR and TecScan, focuses on developing a flexible, multi-element eddy current sensor array that can adapt to complex geometries to improve the accuracy of non-destructive testing. This sensor is designed to scan surfaces with varied shapes, addressing the requirements of the aerospace sector. TecScan, specializing in non-destructive testing technologies, faces the challenge of ensuring accurate and consistent measurements without relying on skilled operators. The project involves designing printed coils on flexible substrates, tested for durability and sensitivity, to provide reliable structural monitoring of critical parts. A successful outcome in this phase could lead to further research and a long-term partnership, strengthening TecScan’s position and expanding its industrial applications.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Bolduc

Étudiant :

Partenaire :

TecScan

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Air disinfection efficacy of Far-UVC light in a healthcare facility

UV light is known for its antimicrobial properties. In this project, we expect to use a proprietary lamp that will provide a specific light that will target bacterial, fungal, and viral strains commonly found in healthcare facilities. The project’s results will have a direct impact on sterilizing areas with a high number of healthcare providers. The company aims to design, test, and manufacture customizable UVX lights.

Voir la description complète du projet
Superviseur du corps professoral :

Horacio Bach

Étudiant :

Partenaire :

UVX

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Exploring women’s experiences with early-onset colorectal cancer (EO-CRC)

We will collaborate with St. Martha’s Regional Hospital Foundation (SMRHF) to conduct a research study that will explore women’s lived experiences with being diagnosed with colorectal cancer (CRC) before the age of 50, also known as early-onset colorectal cancer (EO-CRC). Specifically, we are interested in learning about women’s experiences with the healthcare system during their diagnosis. We will interview women with EO-CRC in order to learn more about their experiences. Collaborating with partner organization will have key benefits in informing clinical care for patients with EO-CRC. This project will allow the Foundation to also meet key strategic priorities including forming relationships and partnerships with health researchers in order to fund research that can improve patient outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Arlinda Ruco

Étudiant :

Partenaire :

St. Martha’s Regional Hospital Foundation

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

St. Francis Xavier University

Programme :

Accelerate

Distributed Quantum Algorithms

Quantum advantages designate situations where processing qubits of information solves a task significantly more efficiently than processing classical bits of information in some basic abstract scenario. Our understanding of quantum advantages for distributed computing is limited. In particular, it is not well understood whether quantum information can deal with issues inherent to networks such as latency due to the finite speed of information, by allowing for distributed algorithms using fewer communication steps than classical distributed algorithms. With coauthors, Marc O. Renou obtained the first natural quantum advantage for a local task quite recently [arXiv:2411.03240 [cs.DC]]. On the contrary, it also has been demonstrated that the methods to find limits on quantum capabilities at such distributed algorithms fail to understand these limits fully [arXiv:2403.01903 [cs.DC]]. The project aims to develop novel methods to understand the limits of quantum capabilities at distributed algorithms by adapting the quantum Inflation-NPA technique, introduced by Elie Wolfe [J. Causal Inference 7(2), 2019], to the context of distributed algorithms.

Voir la description complète du projet
Superviseur du corps professoral :

Elie Wolfe

Étudiant :

Partenaire :

INRIA - Saclay

Discipline :

Physics

Secteur :

Quantum Science; Information and Communications Technology

Université :

University of Waterloo

Programme :

Globalink Research Award

Optimization and Control of A Piezoelectric Vibration Energy Harvester Integrated with A Non-Linear Flexible Manipulator

This project proposes the development of an innovative robotic system that utilizes piezoelectric energy harvesting to convert vibrations into usable energy. The system will be integrated with flexible robotic arms, enhancing their efficiency and sustainability. Collaborative simulations and experimental studies will be conducted at The University of the West Indies (UWI) and the University of New Brunswick (UNB) to optimize the design and performance of these systems. The project is expected to strengthen research capabilities at both institutions, foster interdisciplinary collaboration, and advance innovative technologies that support energy-efficient and environmentally sustainable robotics.

Voir la description complète du projet
Superviseur du corps professoral :

Rickey Dubay

Étudiant :

Partenaire :

University of the West Indies

Discipline :

Engineering

Secteur :

Green/Alternative Energy; Advanced Manufacturing; Clean Technology

Université :

University of New Brunswick

Programme :

Globalink Research Award

Patient and Caregiver Engagement in a Health-Equity Focused LHS

With patients and caregivers (PCs) at the heart, learning health systems (LHS) bring together research and health
systems. LHS work in a cycle to speed up learning from data and evidence and guide practice and policy change.
This approach has been identified as an efficient and cost-effective way to improve healthcare experiences, overall
wellbeing of the population, and health system performance. For LHS to address unfair differences in health status
or healthcare access and experiences, PCs must be involved. Currently, most LHS fail to meaningfully engage
PCs and guidance for moving LHS from theory to reality is under-researched. Through semi-structured interviews,
this project will explore PCs needs, values, and perspectives related to engagement in Pediatric LHS at IWK
Health. Establishing a Peds-LHS is a priority for IWK Health. Findings will support IWK Health to optimally engage
PCs from various backgrounds in the Peds-LHS to ensure it promotes health equity.

Voir la description complète du projet
Superviseur du corps professoral :

Christine Cassidy

Étudiant :

Partenaire :

IWK Health Centre

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Dalhousie University

Programme :

Accelerate

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