Projets novateurs réalisés

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

31 133 projets complétés

2940
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C.-B.
837
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685
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882
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9292
ON
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601
NB
1161
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Projets par catégorie

Abstract Concepts and Semantic Hubs: Exploring the Role of the Anterior Temporal Lobe

Language is central to our daily lives and loss of language can have detrimental effects on daily living. To understand what occurs when language skills are disrupted, I will research how healthy adults process language, and in particular the neurological underpinnings of word meaning. The anterior temporal lobe is a brain region that has been associated with processing word meaning and is thought to be the main source of language loss in semantic dementia. Yet our understanding of this region is based predominantly on research involving nouns that refer to concrete concepts such as “apple”, “chair”, or “flower”. It is less clear how the anterior temporal lobe contributes to processing abstract verb meaning, such as “think”, “love”, or “dissolve”. In the proposed study, I will investigate how the brain’s semantic system is involved in processing abstract compared to concrete verb meaning, and how specific sections of the anterior temporal lobe might be associated with processing different types of abstract verb meaning.

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Superviseur du corps professoral :

Penny Pexman

Étudiant :

Partenaire :

Bangor University

Discipline :

Sociology

Secteur :

Education

Université :

University of Calgary

Programme :

Globalink Research Award

Ui/Ux design at Treehouse- parent tech digital health innovation

Treehouse Digital Health Inc. is an Ottawa based startup focused on being a SaaS solution for the maternal and family health industry. This proposal relates to the development of a maternal health community platform and specifically the Ui/Ux design around the innovation. It allows for the collaboration of maternal allied health professionals and their clients. The solution has critical information that needs to be securely stored with the ability to share information with other care providers within the circle of care and with their client. Partnering with St. Lawrence College and Mitacs will allow further insight(s) into and address gaps in sharing information with other care providers within the circle of care, seamless integration into other healthcare systems to mitigate adverse patient outcomes among maternal-fetal specialties.

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Superviseur du corps professoral :

Andrea Ruskin

Étudiant :

Partenaire :

Treehouse Digital Health Inc.

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

St. Lawrence College

Programme :

Business Strategy Internship

Surface texturing of current collector to accommodate silicon volume change in Li-ion battery anode

Lithium-ion batteries (LIBs) represent the most employed technology for use in electric vehicles as they offer high capacity, cycle-life, and power at reduced weight and dimensions. Current LIB anodes are mainly carbon-based materials with a limited theoretical capacity. On the other hand, a silicon (Si) anode has a theoretical capacity close to an order magnitude of carbon. However, during the battery charge-discharge process, the Si anode has high volume changes of up to 300%, causing cracking, excess solid electrolyte formation, and electrolyte consumption, resulting in rapid battery performance losses. This research study will provide a new method to accommodate the high volume change of the Si anode during the charge-discharge process of LIBs through surface texturing of the anode current collector. The designed anode surfaces will be studied and analyzed, and modifications will be applied to minimize the silicon damage during the charge-discharge process.

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Superviseur du corps professoral :

Reza Riahi

Étudiant :

Partenaire :

Flex-Ion Battery Innovation Center

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Windsor

Programme :

Accelerate

Fundamental Review of the Trading Book: Explainable Equity Volatility Models with Event Risk

The Fundamental Review of the Trading Book is a set of regulations set by the Basel committee, which is expected to be implemented by banks in Canada by late 2023. According to these regulations, in order to maintain stability in the banking system, banks need to post extra capital against the so-called non-modellable risk factors. As this extra capital could significantly increase the total market risk capital requirements for a bank, reducing the weight of these non-modellable risk factors can greatly increase the bank’s profitability. We will seek new ways of reducing the capital requirement of equity volatility non-modellable risk factors, via decomposing them using state-of-the-art machine learning techniques, using explainable AI techniques to provide interpretability for these machine learning models, and detecting and measuring event risk in equity volatility time series.

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Superviseur du corps professoral :

Marcos Escobar Anel;Matthew Davison

Étudiant :

Partenaire :

CIBC

Discipline :

Business

Secteur :

Finance and Insurance

Université :

The University of Western Ontario

Programme :

Accelerate

Endur Apparel Digital Marketing Strategy

Digital marketing is central to the success of many small businesses and particularly important to e-commerce businesses such as Endur Apparel. Endur Apparel sells high performance custom socks, subscription socks, and individual pairs of socks to athletes and other customers who seek a unique combination of style and performance, with an exclusively digital strategy. The proposed project is to support hiring of a digital marketing strategist to develop and implement non-paid customer engagement and conversion strategies to complement the paid digital marketing strategies developed by Endur’s marketing manager. This position will help support Endur’s goal of doubling sales in the next two years by gaining sales in new markets.

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Superviseur du corps professoral :

Jan Kietzmann

Étudiant :

Partenaire :

Endur Apparel

Discipline :

Business

Secteur :

Retail trade

Université :

University of Victoria

Programme :

Business Strategy Internship

Food and Beverage Golf Course Drone Delivery

University of Ottawa students have partnered with the Brookstreet Hotel and Marshes Golf Club to explore the business challenge of improving the golfer experience through the autonomous delivery of food and beverages via drone anywhere on the Marshes Golf Course property. We hope to provide innovation to the industry and enhance the golfer experience through improving the operational and environmental cost of golf course services.

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Superviseur du corps professoral :

Burak Kantarci

Étudiant :

Partenaire :

Wesley Clover

Discipline :

Engineering

Secteur :

Finance and Insurance; Management of companies and enterprises

Université :

University of Ottawa

Programme :

Business Strategy Internship

Intelligent Strategies for Optimal Virtual Network Function Placement in 5G Core

The proposed project aims at developing novel algorithms for the 5G Core Network Placement to meet Key Performance Indicators (KPIs). The ultimate goal is to minimize the number of virtual network functions in 5G packet core while meeting the latency requirements. Thus, this project aims to address the trade-off between latency and operational costs in a 5G network, which is expected to cover 82% of the population by 2025. Higher speed, lower latency and greater capacity of 5G networks will enable improved livestreaming and improved augmented reality. These improvements will enable various services such as connected cars, advanced gaming, tactile Internet, remote healthcare and many others. The proposed project will follow a holistic approach anchored around three main research themes: 1) Development of real time and feasible algorithms for user and control plane virtual network function (VNF) placement in the 5G packet core, 2) Optimization and AI-enabled models for VNF placement , and 3) Test bed implementation and verification of the developed algorithms. Achieving each of these schemes will enable meeting the core logical components of efficient and low latency 5G networks.

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Superviseur du corps professoral :

Burak Kantarci

Étudiant :

Partenaire :

Ciena Corporation (Ottawa, ON);Mitacs - Vancouver

Discipline :

Engineering

Secteur :

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

Université :

University of Ottawa

Programme :

Accelerate

Insect community metabarcode sequencing for mine reclamation monitoring

Mining is important to the Canadian economy, contributing an estimated $43.9 billion in 2020 while addressing growing demand for minerals. Mine operations disturb natural environments, and Canadian federal and provincial authorities have instituted the Mines Act, and the Health, Safety and Reclamation Code for Mines in British Columbia, providing a regulatory framework for mine closure and reclamation. The intern carrying out this research project will evaluate the utility of DNA metabarcoding techniques as a tool for monitoring invertebrate community response to reclamation techniques with the aim of including this tool in environmental monitoring. Invertebrates are sensitive indicators of environmental change and may provide early metrics to guide reclamation progress. This project represents a new collaboration between researchers at Thompson Rivers University and Chu Cho Environmental, an environmental research and consulting firm wholly owned by Tsay Keh Dene Nation.

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Superviseur du corps professoral :

Jonathan D. Van Hamme;Eric M. Bottos

Étudiant :

Partenaire :

Chu Cho Environmental LLP

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Thompson Rivers University

Programme :

Accelerate

Hardware In The Loop Model for Complex Energy Systems

As the global demand for clean energy increases, the next generation power systems design has become more complex than ever. Since renewable electrical power can be generated locally, the power flow is not only from the utility to consumers, but also from any sources (i.e. photovoltaics, internal combustion generator, electric vehicle battery pack, etc.) to consumers, to home batteries, or even back to the utility for redistribution. Among the utility, renewable energy sources, batteries, and consumers, there is a vast amount of power converters that need to work in coordination to manage the power flow. The architectural design of such a complex power system presents a variety of unprecedented challenges. This project proposes a new power converter modeling approach to assist these complex power system design. The proposed converter models can be easily integrated with modern energy system simulation tools to increase the accuracy of the simulation results. Successful outcomes of this project will accelerate the development of the next generation power system.

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Superviseur du corps professoral :

Wilson Eberle

Étudiant :

Partenaire :

FUTURi Power Inc.

Discipline :

Engineering

Secteur :

Energy and Utilities; Clean Technology; Technology

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

High-Throughput Linguistic Content Sentiment Analysis

The project has the following objectives:
1. To build a simulation for a generic social model, to represent how effective a toxic text sentiment
detection algorithm/model works within simulation
a. Building a simulation model
b. Testing the performance of the model using a dataset
c. Evaluation of the model
2. Optimizing existing toxic text detection algorithms/model to highly perform within the simulation

Voir la description complète du projet
Superviseur du corps professoral :

Ketra Schmitt

Étudiant :

Partenaire :

Scrawlr Development Inc.

Discipline :

Engineering

Secteur :

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

Université :

Concordia University

Programme :

Business Strategy Internship

Development of AI Solution for intra-operative Optical Coherence Tomography based classification of cancerous lesions

Breast cancer was the most common cancer in 109 countries including Canada (excluding skin cancer) in 2020 (WHO). Early detection is critical in prognosis. The standard-of-care in early-stage breast cancer is breast conserving surgery (BCS), typically followed by radiotherapy and/or chemotherapy and/or endocrine therapy. The gold standard for margin assessment for BCS is histopathology. Results from histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Despite decades of progress, reoperation due to tumor at or close to the margin is estimated to occur in over 20% of BCS patients. Our main goal is to improve this clear unmet need. Founded in 2013, Perimeter Medical Imaging AI (https://perimetermed.com/) is a Toronto-based medical device company with U.S. Headquarters in Dallas, Texas. Perimeter. Our Optical Coherence Tomography B-Series device embedded with our ImgAssist AI tool was granted Breakthrough Device Designation by the US FDA, designed to speed up availability of disruptive new technologies. We are currently conducting a randomized, multi-site, pivotal study to test our solution against the current standard of care and assess the impact on re-operation rates. The scope of this project involves 1) improving the current AI model to demonstrate improvements on performance metrics such as: accuracy, sensitivity, specificity, F1 score, AUC and 2) streamline the presentation of findings to the surgeons for quick decision making for next round of product release. Projects provide interns experience in AI development in healthcare with distinct deliverables to improve future product.

Voir la description complète du projet
Superviseur du corps professoral :

Ervin Sejdi?

Étudiant :

Partenaire :

Perimeter

Discipline :

Computer science

Secteur :

Artificial Intelligence; Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Business Strategy Internship

Non-thermal Plasma Assisted Photocatalytic Conversion of Low-cost Light Hydrocarbons to Value-added Fuel and Chemicals at Ambient Conditions

Increasing worldwide energy demand has sparked research interests towards the direct transformation of low-cost light hydrocarbons like natural gas into valuable liquid fuels or chemicals. Conventional thermo-catalytic approaches to achieve these reactions require high reaction temperatures (> 673 K), resulting in less desired products formation with severe coke. Non-thermal plasma (NTP) technology offers an attractive alternative since its non-equilibrium characteristics enable thermodynamically unfavorable chemical reactions to readily occur at low temperature and atmospheric pressure. Coupled with specially tailored catalyst, the product selectivity can be better tuned for high valuable commodity formation. We herein propose to organically combine NTP and heterogeneous photocatalysis to effectively valorize light hydrocarbons with limited coke deposition at near room temperature and atmospheric pressure. The outcomes from this proposed one will further ascertain the leading position of Canada in the world’s energy market through more efficient and cleaner utilization of low-cost hydrocarbons abundant in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Hua Song

Étudiant :

Partenaire :

Carbon Upcycling Technologies Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing; Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

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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.