Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

L2M- Unobtrusive Monitoring of Heart Failure via Ballistocardiograph

In Canada, heart failure (HF) has a 30-day re-admission rate of 17.6%. While patient care at home via follow-ups and self-management may reduce this rate, factors including physical fatigue and cognitive frailty delay follow-up visits and impair the patient’s ability to self-manage. An implantable solution such as CardioMEMS is available to monitor HF, however, its invasiveness and high cost (>$19,000) make the solution largely inaccessible. This project will study the use of smart home sensors to monitor HF patients and detect signs of decompensation autonomously during daily activities such as sleeping. At the core of the technology is a bio-signal called ballistocardiograph (BCG), which is a recoil force generated by the heart as it ejects blood. Our research has shown that BCG signals differentiated the physiologic state of 29 younger healthy adults and 26 older adults with moderate HF. Technical advances have also enhanced BCG signal acquisition from a single-axis to three-dimensional. We will evaluate data acquired from BCG sensors embedded in a conventional bed compared to contemporaneously acquired invasive heart chamber pressure measurements in a sample of HF patients. The system will be tested on HF patients with a range of health states, from ambulatory outpatients to hospitalized inpatients. The technology’s ability to detect the improvement after the treatment will be assessed, the success of which will validate the technology’s effectiveness as a HF monitoring tool. We will also evaluate and project the economic and health equity impact of the technology.

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Superviseur du corps professoral :

Alex Mihailidis;Isaac Chang

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Biotechnology

Université :

University of Toronto

Programme :

Business Strategy Internship

Modèles pour la prévision de la durée d’une police d’assurance

Dans un marché très compétitif comme celui de l’assurance, estimer la durée de l’association potentielle entre un nouveau client et la compagnie est un enjeu majeur. Ceci permet à l’entreprise de cibler de futurs clients potentiels qui seront plus susceptibles d’augmenter sa rentabilité en répartissant les coûts dus à l’émission du contrat sur une plus longue période. Une telle estimation permet aussi à la compagnie d’utiliser des incitatifs afin de retenir des clients acquis lorsqu’ils deviennent à risque de terminer ou de rompre leur contrat. Dans ce projet, nous visons à développer des méthodes qui permettront à la compagnie de déterminer avec précision, et ce dès le début d’un contrat, si un client est plus susceptible de quitter en cours de police ou de ne pas renouveler à échéance, et de modéliser le risque de quitter la compagnie en fonction de la durée de la police.

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Superviseur du corps professoral :

Thierry Duchesne

Étudiant :

Partenaire :

Desjardins Assurances Générales

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Université Laval

Programme :

Accelerate

Development and application of a GIS-based lake assessment andmanagement system

A GIS-based water quality assessment approach will be developed in this study, and it is based on a comparison analysis using USA, Canadian and Chinese water quality index models. The method is developed within Geographic information system?GIS? framework. It has the functionalities to manage a large amount of georeferenced input data, to run different water quality index models for a real case study, to compare and verify the water quality assessment results, and to visualize the final results within the GIS platform. The proposed approach will be applied to real lake in China supported by the Globalink Program. Water quality assessment results based on widely used index models (US-OWQI, Canada-CWQI, and China-CNWQI) will be verified with each other for the final assessment conclusions. The study results will be expected to extend the research on new effective lake assessment and management technologies.

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Superviseur du corps professoral :

Zhi Chen

Étudiant :

Partenaire :

Huanzhong University of Science and Technology

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Enhancing Fine-Tuning Techniques of Large Language Models (LLMs) in the Insurance Industry

The landscape of the insurance industry has undergone rapid transformation in recent decades. A driving force behind this transformation is the exponential growth of data volumes, necessitating effective processing to unlock their full potential. This surge has led to the development of advanced processing technologies, much like how AI is harnessed to transform the insurance sector, leading to improvements in customer experiences, risk assessment, operations, and fraud detection. Insurance companies can leverage large language models to employ big data analytics, gathering and analyzing structured and unstructured data from diverse sources. This process enhances risk assessment accuracy and enables personalized offerings. By comprehending customer behavior, insurers create customized policies and targeted marketing, elevating customer relationships and loyalty. The adeptness of big data in swiftly spotting unusual patterns aids fraud detection and loss prevention. Predictive analytics anticipates customer needs, enhancing service quality and satisfaction. Additionally, big data optimizes claims processing, leading to quicker response times. The proposed research is aimed at developing automated RL-based innovative fine-tuning strategies tailored to address the above distinctive challenges and the one within the insurance industry.

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Superviseur du corps professoral :

Hadis Karimipour

Étudiant :

Partenaire :

Munich Re

Discipline :

Engineering

Secteur :

Finance and Insurance

Université :

University of Calgary

Programme :

Accelerate

Exploring co-location and social presence in augmented reality

Creative research to investigate what types of Augmented Reality experiences cause users to feel co-presence. A set of prototypes will be created that explore different ways that users can experience presence in virtual worlds at the same time as other users. A publicly accessible artwork in Victoria, BC, will be created based on learnings from the prototypes.

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Superviseur du corps professoral :

Kate Hennessy

Étudiant :

Partenaire :

Hololabs Studio Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

L2M-A Novel Titanium-Enriched Bioactive Glass to Enhance Enamel Mineralization, Whiteness, and Hardness.

This project is aimed at supporting the translation of research innovation from the laboratory into the market. Our proposed innovation involves the use of a newly improved biomaterial in toothpastes to help transform oral health and hygiene. The proposed toothpaste will be effective in addressing tooth caries and discoloration, and simultaneously increase enamel hardness to prevent future caries. The proposed toothpaste poses zero concerns about damage to the teeth and oral environment. With Our toothpaste, a simple brushing step is all that is required to obtain a healthier enamel and brighter smile. The project is beneficial to the partner organization in meeting one of its core objectives: supporting the commercialization of post-secondary research.

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Superviseur du corps professoral :

Marta Cerruti

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Other

Université :

McGill University

Programme :

Business Strategy Internship

A research on Liang Shuming’s reciprocal centeredness

Liang Shuming’s”reciprocal centeredness”shows us a new way of gaining rights, he suggests that the realization of one’s personal
rights will be naturally entitled via his fulfillment of necessary obligations.It’s likely that people lead a meaningful life among
harmonious interactions rather than through the “outward demand” of rights,though the status he assigned to rights needs to be
reexamined.Liang’s pre-modern narratives induce him to neglect the potential tension between rights and obligations.He also
simplified a community as a mono-opinion entity, ignoring the potential conflicts between individuals in a group. So the two tasks I
hope to accomplish are to modernize the idea of ” reciprocal centeredness ” and to optimize relevant narratives in the relationship
between group and individuals.

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Superviseur du corps professoral :

Timothy Cheek

Étudiant :

Partenaire :

East China Normal University

Discipline :

Sociology

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award

Mastering Multi-modal Decision-making with World-Models

The quest for building an artificial intelligence (A.I.) that is general and able to solve multiple tasks, as humans do, has experienced a growing interest in the last few years. Current A.I. systems can communicate with humans and provide sensible answers and ideas in the form of text. However, if we expect A.I. systems to be pervasively used in real-world applications, we need to provide them with the ability to sense, interpret, reason, and act in the world. This project aims to bridge the gap between A.I. language systems and reality, by employing world models, a recent idea that has been applied in many decision-making tasks, such as video games, simulations, and robotics. By successfully combining language systems with world models, the project aims to build generalist A.I. systems, which have the potential to be adopted for solving numerous real-world tasks, including visual question answering and web-browser based tasks, two challenges that are being extensively researched at ServiceNow.

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Superviseur du corps professoral :

Aaron Courville

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Utilizing Additive Manufacturing to Design an Enhanced Tool for Internal Skin Stitching during Colonoscopy Procedures

1 in 13 men in Canada is diagnosed with colon cancer every year. And 1 in 29 will die consequently. 1 in 16 women in Canada are similarly diagnosed leading to death in 1 out of 34 women. More than 90% of colon cancer cases start as a small benign growth called polyp. These polyps can be removed during a colonoscopy thus preventing colon cancer. When these polyps are large, the resulting defect can be a challenge to close.
Currently, the process used to close the defect is complicated, lengthy and requires highly skilled trained professional to perform it. We are still lacking proper way to achieve that. This project innovates a technique to facilitate successful completion of the procedure. This project will achieve a simpler, smoother and cost-effective technique for closing the defect.

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Superviseur du corps professoral :

Emeritus Mohamed Elbestawi

Étudiant :

Partenaire :

Makar Medical Research and Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Automated optimization of robotic tasks and transitions using graph-based approaches

In machining applications, the robot can rotate about the tool axis without affecting machining results. This additional freedom is beneficial in the sense that it can be used to avoid robot singularities, joint limits, collisions, etc. In this project, we will investigate methods of managing this additional degree of freedom automatically. Further, between operations, the robot must transition from the end of one operation to the start of the other operation. This transition must be collision free. In this project, we wil also investigate methods to manage such transition automaticaly.

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Superviseur du corps professoral :

Wen-Fang Xie

Étudiant :

Partenaire :

Hypertherm Robotic Software

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

L2M – Bio-inspired surface modifications of transepithelial implants to improve soft tissue seal and eliminate infections

Medical devices and implants that cross the skin do not seal well with the skin, making them prone to infections and eventually failure and removal. We propose a bio-inspired coating for these devices. This coating will help these devices adhere to the skin and prevent bacteria from entering the body and causing infections. The coated devices will have longer lifetime than the current ones, which will improve patients’ quality of life and reduce healthcare costs.

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Superviseur du corps professoral :

Marta Cerruti

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Biotechnology; Health and Related Sciences & Technology

Université :

McGill University

Programme :

Business Strategy Internship

L2M- Remote Care: Empowering patients through Remote Self-administered Medical assessment.

“RemoteCare” is a novel initiative that empowers individuals to conduct part of their medical assessments independently via a user-friendly remote digital solution. By enabling self-assessments, it reduces physician workload, minimizes wait times, and ensures quicker access to medical assistance, especially in underserved areas. However, its progress hinges on gaining the trust of traditional healthcare providers, navigating regulatory barriers, and customizing the solution through human-centric design. The “Lab2Market Mitacs BSI” program aids in these challenges by facilitating collaborations, mentorship, and knowledge exchange to create an efficient and accessible healthcare tool for all. By engaging with experts through the Lab2Market Mitacs program, “RemoteCare” aims to create a stronger, more resilient Canada by reducing strain on health resources, optimizing efficiency, and improving accessibility one person at a time.

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Superviseur du corps professoral :

Joseph Ferenbok

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Business Strategy Internship