Contextually appropriate content to support understanding unfamiliar word(s)

The broad objective is to develop (or investigate the feasibility of developing) a prototype software module that can be used in one or more of goQ (Quillsoft Ltd .) software products for when a user initiates a word or phrasal lookup within some text. During reading or writing , the module provides contextually appropriate content […]

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Colonoscopy Video Analysis Framework

Every year in Canada over 1.7 million patients are diagnosed with Ulcerative Colitis (UC), and have to go through colonoscopy procedures multiple times for disease detection and treatment monitoring. Trained clinicians use endoscopy facilities and technologies for colonoscopy procedures and unfortunately, the current error rate in disease detection is up to 20%. This project will […]

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Understanding the Rise of the Asian Multinational Corporations: Organizational Competence and Innovativeness in Business Culture

Asian multinational corporations (MNCs) have been a primary driver of the world region’s economic rise. Their emergence brings fresh air and new challenges to the global economic order. Key to their success is a distinct form of business culture and organizational strategy, which the existing scholarship has yet to address. This project aims to develop […]

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Ghost Voices in Turkish Cinema

My research seeks to explore the history of dubbing or post-synchronization in Turkey, which from the 1940s on became one of the most recognizable features of the Turkish industry, characterizing both national and imported production. Post-synchronization of sound had been the standard practice in Turkish popular cinema until 1996; it was only then that shooting […]

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Privacy in Machine Learning Systems with Data/Model Sharing via Information Theoretic Analysis

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

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Distributed Machine Learning for Large-Scale IoT Systems with MEC

Machine learning in large-scale Internet-of-Things (IoT) systems can bring overwhelming demand on the limited resource of IoT devices, e.g., simple cameras and ambient sensors. However, it can substantially benefit from the additional computation and communication resources provided by a new wireless computing framework called Mobile/multiaccess Edge Computing (MEC). In this project, we study machine learning […]

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Ultrafast laser nano-structuring in transparent glass: enabling 3D fibre-photonics packaging and assembly for high temperature sensing

This MITACS project addresses a significant barrier the partner company (Fibos Inc.) is facing with their current customers in manufacturing of fibre optical sensors that can be robust and cost effective for the high temperature and pressure environments. The market is aimed at sensing of rotor assemblies in turbines where electrical and other means of […]

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Finances of the Nation: Data-driven policy analysis for Canada

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the […]

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Development of a supervised and transparent prediction model for predicting bond credit rating migrations in real-time for short to moderate time frame

The purpose of this research is to develop a supervised prediction model that will be used to predict whether a bond credit rating will migrate down to a lower credit rating in a short to moderate time frame. The problem will consist of the development and optimization of a bond credit-rating migration prediction model; the […]

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Light Weighting Structural Injection Molded Parts for the Automotive Industry

Light weighting in the automotive industry is ever becoming important. The overall objective of this research project with Axiom Group Inc. is to develop an innovative, cost-effective and industry-scale technology that can produce lightweight automotive products with good impact strengths. The project is aiming to achieve the cellular morphology to maximize weight reduction (20-30%) without […]

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Closing Skill Gaps in Under- and Unemployed Youth

Learning, an online learning platform, to underemployed or unemployed youth. Building on the work of a pilot project by CivicAction, the intern will plan and implement a randomized controlled trial to test factors driving uptake of online learning and its effects on employment outcomes. The intern and CivicAction will engage with Toronto-area employment services providers […]

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Development of a tissue culture platform to investigate piscine orthoreovirus infectious cycle in-vitro

The aquaculture industry is constantly growing worldwide. Vast arrays of fish species are farmed in freshwater, brackish, and marine systems. In farms, fish reach high-population densities, which facilitates the outbreaks of infectious diseases. This is a big challenge for the aquaculture industry, particularly in the case of viral pathogens because there are few, if any, […]

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