Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Cintech : IA et spectroscopie de fluorescence pour la transformation alimentaire

Le projet de stage proposé par Cintech Agroalimentaire vise à développer et automatiser la détection et l’identification des contaminants des surfaces en contact avec les aliments, en exploitant la spectroscopie de fluorescence. L’utilisation des techniques chimiométriques standard et avancée lors d’analyse de données spectrales permettra de mettre en évidence les déterminations qualitatives et quantitatives des différents contaminants. Cet outil répondra à plusieurs défis auxquels font face les entreprises du secteur de la transformation alimentaire: assurer l’innocuité des aliments (contrôle et assurance de la qualité à l’usine), augmenter la productivité (rapidité de l’intervention à la suite de la détection et à l’identification de pathogène), et réduire les coûts d’opération (réduction des consommables et des coûts de gestion des déchets d’analyse).

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Arnaud Droit

Étudiant :

Partenaire :

Cintech Agroalimentaire

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Real-time dispatching of rebalancing tasks for a bike sharing network

Bike rebalancing involves the redistribution of bicycles among stations to mitigate potential system imbalances, addressing shortages or surpluses of bikes at individual stations. This task is done using trucks designed for moving bikes. The aim is to optimize the routing plan for these bike-moving trucks, deciding which stations to visit and the order to visit them. The plan also determines how many bikes to load and unload at each station. The primary objective is to prevent customer dissatisfaction caused by inefficiencies, such as stations running out of bikes as well as avoiding the situation where stations lack the capacity to drop the bike. The optimization framework seeks to minimize these undesirable outcomes while also reducing the operational cost of the system. This project focuses on the dynamic capacitated pickup and delivery vehicle routing problem. Given its NP-hard complexity, addressing this in real-time, particularly within a large-scale system, poses a substantial challenge necessitating advanced optimization techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Antoine Legrain

Étudiant :

Partenaire :

LispLogics

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Chemically defined media for porcine muscle progenitor expansion – towards their application in cellular agriculture

Agriculture is on the brink of a paradigm shift due to sustainability challenges and the demands of a growing population. This transformation is being led by cellular agriculture, an emerging industry that encompasses lab-grown products ranging from sugar substitutes to meat-in-a-dish. Canada’s pork industry, one of the world’s largest, stands to benefit from this innovation given recent environmental and geopolitical challenges, by offering an ethical and sustainable alternative to traditional farming.
However, current production methods are hindering the commercial viability of cellular agriculture due to inefficiencies and high cost. Cell culture media, the nutrient-rich solution required for cell growth, has been designated the culprit. Largely, this is because media was originally designed for the biomedical industry, not for the large-scale cultivation of pig muscle cells, where cell requirements and economic expectations are vastly different.
Our collaborative team has partnered with Myo Palate to directly tackle challenges in culture media formulation development by leveraging our custom predictive algorithm. Unlike more dated approaches, this allows us to simultaneously evaluate multiple ingredients, assessing their impacts on cell growth and cost-effectiveness. This approach will drastically improve the efficiency of media formulation and quality of the cultured cells.

Voir la description complète du projet
Superviseur du corps professoral :

Craig Simmons;Julie Audet

Étudiant :

Partenaire :

Myo Palate

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Elevate

Microwave Spectroscopy of Antihydrogen

The Big Bang is predicted to have produced equal amounts of matter and antimatter; however, the universe is dominated by matter and there is much less of its counterpart. The ALPHA (Antihydrogen Laser PHysics Apparatus) collaboration, based out of CERN, investigates the matter-antimatter asymmetry problem by creating and performing experiments on antihydrogen to compare it with hydrogen. Antihydrogen is composed of a single antiproton and positron, the antimatter counterparts of the proton and electron, respectively. Studying and understanding the atomic energy levels of antihydrogen is important because current theories of quantum electrodynamics predict these levels to be identical to hydrogen. The splitting of the 2S and 2P energy levels at zero magnetic field is known as the Lamb Shift and is an important transition in hydrogen. This project’s goal is to make a direct precision measurement of the Lamb shift in antihydrogen, which has the potential to lead to the discovery of a matter/antimatter difference. This project’s success will further the work of the ALPHA collaboration and be a significant result for all participating institutions, which benefits the greater quantum physics community.

Voir la description complète du projet
Superviseur du corps professoral :

Timothy Friesen

Étudiant :

Partenaire :

Swansea University

Discipline :

Physics

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Account Abstraction and Privacy Enhancement in Web3 Gaming

The intern will be working on a project at ZeroX Gaming, a gaming company, to make it easier for gamers to use blockchain technology in their games. This involves developing a tool that simplifies how players interact with blockchain features, making it as straightforward as using a regular gaming app. Additionally, the intern will work on enhancing privacy for players, ensuring their gaming activities and personal information are secure and
confidential. The expected benefit for ZeroX Gaming is significant: these improvements will not only attract more players by making the games more user-friendly and secure but also set new standards in the gaming industry
for how blockchain technology is used in games. This project represents an exciting blend of gaming and cuttingedge technology, aimed at delivering a better and safer gaming experience.

Voir la description complète du projet
Superviseur du corps professoral :

Chen Feng

Étudiant :

Partenaire :

Zerox Gaming Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Visite virtuelle du modèle 3D interactif du monastère des Ursulines de Québec

Le projet consiste à créer un modèle 3D interactif du monastère des Ursulines de Québec pour une diffusion Web afin de mettre en valeur l’héritage des religieuses ainsi que son monastère (considéré comme un bien patrimonial national). Notre projet est avant-gardiste parce qu’il propose une libre navigation dans le modèle aux internautes. En effet, la reconstitution est construite sur une plate-forme jeu (gaming engine) permettant une meilleure fluidité et interactivité, tout en respectant l’authenticité des lieux réels. Il ne s’agit donc pas d’une simple modélisation 3D, ou de photographies-bulles, mais bien d’une numérisation effectuée à même les lieux réels, qui est traitée par la suite avec des photographies de haute qualité des espaces intérieurs donnant un réalisme impressionnant au modèle. Pour l’entreprise MCG3D, spécialiste en balayage laser des lieux, le bénéfice principal est de suivre étroitement l’évolution du processus de transformation de la numérisation jusqu’au produit final. Les stagiaires contribuent à développer de nouvelles méthodes. Tandis que pour la maison provinciale des Ursulines, il s’agit de comprendre les impacts d’une telle technologie comme diffusion et conservation de leur patrimoine.

Voir la description complète du projet
Superviseur du corps professoral :

Philippe Dubé

Étudiant :

Partenaire :

MCG3D inc;La maison provinciale des Ursulines du Québec;Université Laval

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

L2M – Prevention Technology for Pressure Injuries

We are addressing the widespread issue of pressure injuries—a chronic wound affecting millions—with our innovative solution, the Smart Sheet. This soft, flexible, and stretchable sensor array is designed for precise pressure and shear detection. What sets us apart is the Smart Sheet’s unique ability to seamlessly conform to various shapes and contours, providing accurate and continuous measurements over extended periods within the desired pressure ranges. Our primary focus is on wheelchair users and bedridden individuals, especially in the spinal cord injury and geriatric population. The Smart Sheet revolutionizes pressure injury prevention with its cost-effectiveness and adaptability, predicting high-risk areas and formation times. By alerting users and healthcare professionals for timely intervention, it offers a user-friendly, proactive approach to enhance the quality of life for those vulnerable to pressure injuries, making a meaningful impact on healthcare and overall well-being.

Voir la description complète du projet
Superviseur du corps professoral :

John Madden

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Business Strategy Internship

Advanced Massage Application in Automotive Seating

This research project aims to improve the comfort of automotive seating by evaluating a new vibration massage system developed by our partner company and developing a pressure sensing software that can monitor how people respond to the vibration massage system. The project will integrate the vibration system with the software and introduce additional features such as anti-fatigue and biometric massage functionalities. The anti-fatigue feature will help manage and regulate pressure in the seat to reduce discomfort. If someone feels uncomfortable, the system will notify them and suggest suitable treatments. The biometric massage functionality will detect stress levels and simulate the occupant’s heart rate, offering energizing or relaxing options. Heart rate will be measured and feedback will be collected through surveys to assess the effectiveness of the different functionalities. This research will benefit our partner organization by meeting customer demands and integrate innovative technology to their products.

Voir la description complète du projet
Superviseur du corps professoral :

David Andrews;Eunsik Kim

Étudiant :

Partenaire :

Schukra of North America Ltd

Discipline :

Life Sciences

Secteur :

Manufacturing; Transportation and warehousing

Université :

University of Windsor

Programme :

Accelerate

Inclusion in Recreation and Physical Activity: Best Practices for Canadian Municipalities

Municipal governments are required to provide recreation, sport, and physical activity opportunities to all citizens, including those who experience disability. However, municipalities may not be aware of the key factors that will increase participation for this population. The goal of this project will be to develop a set of recommendations for municipalities to create and deliver structured and unstructured active recreation opportunities for people experiencing disability. The steps to create these recommendations will include: (a) outline the purpose of the recommendations; (b) review of research and current municipal plans and programs; (c) interviews with policy makers, program leaders, people experiencing disability and their families or caregivers; (d) hosting meetings with a panel of experts; (e) asking for feedback from those who will be using recommendations. Our partner organization will benefit, from access to Queen’s University research expertise, libraries and staff. Additionally, the final knowledge products and best practice recommendations will be shared under their brand.

Voir la description complète du projet
Superviseur du corps professoral :

Amy Latimer-Cheung;Janet Lawson

Étudiant :

Partenaire :

Active Living Alliance for Canadians with a Disability

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Queen's University

Programme :

Accelerate

VR-SIM Carers authoring platform (VR-CAP)

Funded by NRC and CIHR, VR-SIM Carers brings together an interdisciplinary team of clinicians, researchers, and carers of person with dementia (PWD) to develop a virtual reality reality-based simulation training platform (VRSTP) where dementia caregivers may safely practice different strategies and approaches to difficult caregiving scenarios without real-world consequences within an interactive 3D virtual world. Through stakeholder consultations, it is clear that many training scenarios are required to capture the diverse range of situations/scenarios caregivers encounter. Generally, VRSTPs have fixed scenarios that cannot be easily modified. There is a need for tools that would allow educators with limited programming knowledge, to create new or modify/customize existing scenarios. Building upon our prior work on authoring platforms for serious games, we propose to develop a graphical-based, “no-code” authoring platform. The user-friendly VR-SIM Carers authoring platform (VR-CAP) will provide educators with tools to easily build interactive 3D content including animated 3D characters.

Voir la description complète du projet
Superviseur du corps professoral :

Bill Kapralos

Étudiant :

Partenaire :

Ontario Shores Centre for Mental Health Sciences

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Quantum Variational Autoencoders for Particle Detector Simulation at the Large Hadron Collider

Physicists all over the world, including those throughout Canada, are gearing up to upgrade the Large Hadron Collider to collide particles more quickly than ever before. The huge datasets collected by enormous detectors like the ATLAS experiment will provide a trove of information about mysterious particles like the Higgs bosons, and might even help researchers find hints of new particles like Dark Matter. But to utilize this enormous dataset, physicists also need to generate simulated data faster than ever before– and traditional computational technologies won’t be able to keep up. Our project proposes to utilize quantum-assisted Machine Learning to demonstrate a solution to this challenge. In our work, we create a powerful machine learning model that can be encoded onto D-Wave quantum computing units, and we can use these devices to generate simulation faster than any other computing technique. A huge amount of work remains to bring this proof of concept to fruition, but we hope our project will bring us a step closer to utilizing quantum computing to make substantial impacts in the realm of scientific computing.

Voir la description complète du projet
Superviseur du corps professoral :

Max Swiatlowski

Étudiant :

Partenaire :

Perimeter Institute

Discipline :

Physics

Secteur :

Agriculture; Professional, scientific and technical services

Université :

TRIUMF INC.

Programme :

Elevate

L2M – Electrochemical Ion-selective Polymeric Membrane-Based Microsensor for Low-Limits Drinking Water Salinity Monitoring

The proposed project aims to develop an innovative microsensor for precise monitoring of low-level salinity in drinking water. Using an ion-selective polymeric membrane, the microsensor enhances sensitivity and specificity, allowing for real-time monitoring within the crucial 1-100 ppm range. This technology addresses the current gap in low-cost, on-site salinity monitoring for drinking water. The partner organization stands to benefit from a portable, efficient, and cost-effective solution that ensures water quality compliance, contributing to public health, disaster management, and community well-being. The microsensor’s adaptability to detect various ions adds versatility, making it a valuable tool for diverse environmental monitoring needs.

Voir la description complète du projet
Superviseur du corps professoral :

Pouya Rezai

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

York University

Programme :

Business Strategy Internship

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.