Development of a robust, low-complexity infant cry classification system

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

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Optical diagnostics for probabilistic quantification of defects in functionalized 2D nanomaterials

This project aims to quantify defects in the probability framework for 2-dimensional (2D) materials with superior performance using optical techniques, primarily focusing on molybdenum disulfide (MoS2). Additionally, defects are an important factor influencing the performance of single-photon emitters (SPEs), a type of quantum device. This project will directly relate the SPE performance with defect concentration. […]

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Investigation and Development of a Sensor and Imagery System to Physically Validate Performance of Conformally Cooled Tooling

This project will create a first of its kind system to measure and validate the performance of conformally cooled tooling (CCT) for die casting and injection molding. CCT increases production efficiency and quality helping Canadian manufacturing to stay competitive with foreign manufacturers. Yet, many manufacturers are reluctant to adopt CCTs due to uncertainty around its […]

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Product Marketing Internship

Foodiepages is corporate gifting business based in Toronto. We help our clients drive personal connections through corporate gifts, with a focus on sourcing from small businesses, sustainability, and personalization at the core of our offering. The company is exploring new B2B products and strategies that will create recurring revenue opportunities with current customers.

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Maximizing Efficiencies – Identification of Optimization Based Best Practices for Commercial 3d-printing

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard […]

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Optical characterization of 2D functionalized nanomaterials in the gas phase

Graphene is a promising new nanomaterial, single layers of graphite, with superior physical and electrical properties making it an ideal candidate for electrical applications; however, current graphene production methods are expensive and complicated. As a result, new materials that have similar properties to graphene, but are more amenable to high-yield production are currently being investigated. […]

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CO24-150-ICESI1

This internship, in collaboration with the Public Actions Group of ICESI University (GAPI), focuses on the critical study of climate change’s impact on human migration and human rights. Our investigation will cover seven key topics: natural phenomena driving human mobility, the effects of climate-induced migration on human rights, the vulnerabilities of migrating groups, livelihood losses […]

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An exploratory investigation of Geographic Information Systems (GIS) applications to support the Vietnam Cleaner Production Centre’s sustainable Pangasius bocourti (Basa Fish) industry project

This research project will explore how a Geographic Information System (GIS) analysis can aid in enhancing the sustainable Basa fish industry in Vietnam. Enhancement is achieved through increasing market value, reducing the impact on global seafood supply chains and reducing negative local environmental impacts. GIS is an application that allows for complex spatial analysis of […]

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Research and Development of an AI based Software to Recognize Realtime TV Commercials on Low-power Computing Equipment

This research will explore the possible use of video analysis, object detection, and machine learning models to identify TV commercials and advertisements in real-time on low-power computer systems. The partner organization focuses on software development and advertisement technology. The partner aims to solve the challenge of developing a lightweight power-efficient AI-based software that would be […]

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Investigating Parkin Oxidation and its Impact on Parkinson’s Neurodegeneration

Parkinson’s disease (PD), a devastating neurodegenerative condition, is becoming increasingly prevalent in our aging population, yet the events leading to neuron death remain unclear. Current treatments aim to alleviate symptoms, but none address the cause of neurodegeneration, leaving a cure for PD elusive. Disease progression is marked by significant neuron loss in the brain region […]

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Oxidative stress-induced Nrf2 misfolding in Parkinson’s disease

Oxidative stress and aging are the primary risk factors for Parkinson’s disease (PD). The protein Nrf2 is particularly important in fighting oxidation and the associated damage in the brain as it activates antioxidant enzymes. Nrf2 is regulated by another protein called Keap1. These two proteins can get damaged under excessive oxidative stress conditions and thus […]

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