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

Trait diversity across forest biomes

Trait-based mass-ratio and complementarity effects shape community structure, population dynamics, and ecosystem functioning. A question remains on how these processes interact in maintaining forest biomass along the elevation. Leaf element contents will be used to test these interactions since they are surrogates of ecosystem functioning. An extensive survey was conducted during 2017-2018 along a wide elevation gradient from the tropical forest (80 m a.s.l.) to the alpine treeline (4200 m a.s.l.) in Kangchenjunga, eastern Nepal Himalayas. We will assess the trait diversity of ten elements essential for plant development. Community-weighted trait averages (i.e., the mass-ratio effect) and trait divergence (i.e., the complementarity effect) in leaf elements will be calculated in 1859 trees belonging to 116 species. Our findings will suggest that biomass accumulation can be affected disproportionately by the elevation because of the interactions between mass-ratio and complementarity effects observed across the vegetation zones. The effect of the elevation in leaf elemental traits is a crucial component affecting the interactions among trees, which affects the ecosystem properties such as biomass and their responses to environmental changes.

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Superviseur du corps professoral :

Sergio Rossi

Étudiant :

Partenaire :

Chinese Academy of Sciences (Beijing)

Discipline :

Life Sciences

Secteur :

Environmental Science and Technology; Life Sciences (not health); Forestry

Université :

Université du Québec à Chicoutimi

Programme :

Globalink Research Award

Mathematical Models in Algorithmic Trading

On June 1, 2021, Futures First Canada and FinML began a pilot collaborative project involving three Canadian universities by-way-of a MITACS Accelerate internship (IT25712) to jumpstart an initiative to use cutting edge techniques in machine learning, financial mathematics and AI for making predictions in financial markets. This goal is integral to the business operations of the company and is a leading motivation for academic research. The pilot project has created a basis for this current project application which will continue the effort, extend positive academic results and furthering integration into the company’s infrastructure. This next project will extend previous research by building mathematical models using stochastic optimal control theory for the purposes of algorithmic and HFT (High-Frequency Trading). This is a challenging project where we uncover the obstacles for the academic theory to be applied in practice.

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Superviseur du corps professoral :

Anatoliy Swishchuk

Étudiant :

Partenaire :

Futures First Canada Inc

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

University of Calgary

Programme :

Accelerate

Techno-economic Viability of Wooden Racking for Standard Solar Photovoltaic Modules

The project aims to develop a low-cost solution for sustainable wood-based racking system for standard solar PV panels. The design will used local lumber and other structural components to develop a racking design focusing on self-assembly, convenience, sustainability, and economics. A techno-commercial viability analysis of the project will also be performed for Okanagan, BC. Kruger Dresner Solar will partner with Western University to develop a prototype of the racking system. The unique and sustainable solar energy solution targeting residential and commercial entities will be a proprietary of the company which will sell solar racks in the form of kits as well as provide services for its installation.

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Superviseur du corps professoral :

Joshua Pearce

Étudiant :

Partenaire :

KRUGER DRESNER SOLAR

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

Predicting Behavioral and Mental Traits using Graph Convolutional Networks

Mental illness is widespread, affecting half of the population during their lifetime. One solution to mitigate this is to detect the onset of mental illness early, as well as choose individualized treatment options based on biological markers. These biomarkers can predict behavioral and mental traits, like the risk to develop a mental illness. They can potentially be found using neuroimaging techniques like magnetic resonance imaging. As the brain is highly complex, we need to use state-of-the-art data analysis techniques to find markers that predict behavioral and mental traits. Graph convolutional network is one such prediction technique that makes use of the fact that the brain is organized as a network. In our project, we will explore if graph convolutional networks can reliably predict behavioral and mental traits, which will set the groundwork to develop neuroimaging biomarkers of mental illness.

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Superviseur du corps professoral :

Pierre Bellec

Étudiant :

Partenaire :

Université de Lausanne

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Artificial Intelligence

Université :

Université de Montréal

Programme :

Globalink Research Award

Experimental Characterization of Thin-Film Piezoelectric Layered Polymers under Mechanical Deformation

Thin-film polymer substrate that have piezoelectric layers are promising for a variety of applications, including micro-electro-mechanical systems, mechanical energy harvesting, and flexible electronics with security features. This study proposes a detailed approach for understanding how these flexible structures behave under different mechanical loads, using a comprehensive experimentation. This research mainly focuses on characterizing the electromechanical response of thin-film flexible piezoelectric-layered polymeric structures through practical experiments. The findings of this research will be helpful in designing and optimizing various micro-electro-mechanical systems, soft sensing devices, structural condition monitoring setups, and flexible security systems.

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Superviseur du corps professoral :

Hani Naguib

Étudiant :

Partenaire :

Bank of Canada

Discipline :

Engineering

Secteur :

Finance and Insurance; Manufacturing; Public administration

Université :

University of Toronto

Programme :

Accelerate

Testing novel compounds to prevent peritoneal adhesions

Peritoneal adhesions are the leading cause of the postoperative bowel occlusions and are often associated with increased morbidity and mortality rates. There is no successful treatment developed yet and adhesion re- operations are only a temporary solution. Thus, there is a strong unmet clinical need to develop novel therapies to help patients. We developed a method to visualize adhesion formation in a mouse model and this method also allows us to monitor how administering a blocking molecule prevents this process. We recently discovered that an immune cell called the macrophage causes the adhesions to form, and we were able to prevent this by blocking specific receptors on these macrophages called scavenger receptors with a molecule polyinosinic acid (PolyI). While we have a core molecule that blocks the adhesions, the Kubes lab in a collaboration with a biotech start-up Medhesion Inc. aims to make better versions of this molecule so that it has less side effects and blocks adhesion formation more efficiently. Our goal is to develop a drug that could be given at the end of a surgical operation to all patients to ensure none develop adhesions.

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Superviseur du corps professoral :

Paul Kubes

Étudiant :

Partenaire :

Medhesions Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Advanced Subsea Transmitter Design

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

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Superviseur du corps professoral :

Trishla Shah;Neil Laamanen

Étudiant :

Partenaire :

Marecomms Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Nova Scotia Community College

Programme :

Accelerate

Experimental investigation of using optical fiber sensors for monitoring pipe vibrations and potential applications in CANDU power plants

A nuclear reactor to a nuclear power plant is the same as the heart of a living human. The safe operation of the plant is directly related to the health of the reactor. Just as in the human heart, where blood circulates to deliver oxygen to the other parts of the body, coolant passes through the reactor core and distributes the heat to other parts of the nuclear power plant to drive the turbine generator for electricity generation. Similar to blood vessels (arteries and veins) near the heart, many pipes are connected to the reactor core. Just like our blood vessels, the consequences are disastrous if there is a break or a blockage. It can cause a serious accident. This project aims to explore new technologies based on fiber optic sensors to provide early detection of such events to improve the safety of nuclear power plants in Canada. This project will investigate the feasibility of using fiber optic sensors to monitor the health of the pipes.

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Superviseur du corps professoral :

Jing Jiang

Étudiant :

Partenaire :

Kinectrics Inc.

Discipline :

Engineering

Secteur :

Energy and Utilities; Technology; Information and Communications Technology

Université :

The University of Western Ontario

Programme :

Accelerate

Optimizing Cybersecurity Data Platform Operational Cost

We focus on building the systems that allow for the storage and analysis of big data for preventing cybersecurity attacks. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team then builds products that allows our customers as well as our own employees to make business intelligence queries against this large set of data, to better understand their security posture. As our customers grow, the services which host and serve data will need to scale as well. Arctic Wolf needs to make sure that the operational costs are optimized to ensure cost savings and scalability. This is a problem which needs to factor in the continuously changing landscape in technologies, the cost of upkeep to operate these technologies at scale, and continuously changing access patterns. The goal of this project is to research efficient use of cloud resources and services which is used to ingest, organize, and store billions of data points per day

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Superviseur du corps professoral :

Shurui Zhou

Étudiant :

Partenaire :

Arctic Wolf Networks

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

From “Doctrine of Insentient beings” to AI Monk: Artificial Intelligence and the Technological Transformation of Buddhism

With the development of artificial technology in recent years, the relationship between AI and Buddhism has gradually become a frontier issue. This project will focus on three aspects:
First, based on the findings of previous scholars, it will further describe the “Doctrine of Insentient beings”, which connects the theory of “Insentient being has Buddha-nature” with AI.
Second, the latest AI monks in China, Japan, and Thailand, as well as the chat software for preaching such as Chatgpt, will be taken as cases to explain how AI can contribute to the modernization and transformation of Buddhism.
Furthermore, this project will highlight the limitations of using AI monk. It will also explore what is the real “machine enlightenment”. The aim is to further understand the relationship between Buddhism and AI in the post-epidemic era with rapid technological development.

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Superviseur du corps professoral :

Rongdao Lai

Étudiant :

Partenaire :

The Chinese University of Hong Kong

Discipline :

Sociology

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Measuring International Entrepreneurial Competency

This important research project seeks to a) engage graduate students from University of Toronto in an immersive entrepreneurial experience in Taiwan in the fields of advanced computing, clean technologies and scientific innovation and b) measure the development of international entrepreneurial competencies impacted by this experiential learning. The student will complete an internship with Himax. He will participate in a variety of structured entrepreneurial learning activities and will work with Himax to learn about Taiwanese entrepreneurial innovation firsthand. Additionally, Mr. Kapur’s internship will include a research project related to gesture and gaze detection for edge devices. The findings of the international entrepreneurship highway evaluation will significantly inform future international entrepreneurial programming, which is hypothesized to lead to increased entrepreneurial activities in Canada and by Canadian overseas.

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Superviseur du corps professoral :

Andrea Duncan

Étudiant :

Partenaire :

National Cheng Kung University

Discipline :

Business

Secteur :

Technology; Education

Université :

University of Toronto

Programme :

Globalink Research Award

An Assessment of Cloud Data Management in the South African Construction Industry

In cloud computing, managing the vast amounts of data created by construction projects is challenging. The cloud cannot support peak data loads, and the owner has no control over the security of the data that is being stored. This creates a need to assess cloud data management in the construction industry as construction companies become reluctant to put confidential and critical data in the cloud. This study aims to create awareness among construction professionals about how cloud data management can be improved. Cloud computing technology can improve collaboration between project stakeholders and solve issues of enormous amounts of data generated by these projects. Hence, this study aims to identify the types of cloud data management services used, challenges to the usage of cloud data management, drivers of cloud data management usage, critical success factors of cloud data management, and strategies required to implement successful cloud data management in the SACI.

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Superviseur du corps professoral :

Sharfuddin Ahmed Khan

Étudiant :

Partenaire :

University of Johannesburg

Discipline :

Engineering

Secteur :

Education

Université :

University of Regina

Programme :

Globalink Research Award

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