Data-driven Assessment of Suicide Risk for Treatment Seeking Population

As part of this proposal the intern will be working with DME to develop and examine the viability of data-driven point-of-care system for the assessment of suicide risk. DME is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose […]

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Objective Assessment of Suicide Ideation using Measures of Electrophysiology Data and Machine Learning

Digital Medical Experts Inc. (DME) is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose and predict optimal treatment for major depression disorder and schizophrenia, and has been allowed patents describing its technology in Canada, the USA, and Australia. […]

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Accelerated detection and classification for surveillance applications

Object detection and classification for surveillance applications via deep neural networks have attracted a lot of interests in computer vision (CV) communities. Accurate and fast CV algorithms can alleviate intensive manual labour and reduce human errors due to fatigue and distraction. In detection problem, the aim is to determine bounding boxes which contain interested objects […]

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Plant level implementation of a model for real time tracking and control of composition changes to steel, slag and inclusions during ladle processing – Part 2

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions. During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, […]

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Characterization and Modeling Inclusion Population during Secondary Steelmaking – Year two

The ultimate goal of this project is to develop a fundamental understanding of inclusion evolution during a particular refining process in secondary steelmaking unit. The particular focus is firstly on developing a detailed characterization of the inclusions formed during refining in the Stelco Ladle Metallurgy Facility, and secondly on adapting the existing McMaster ladle metallurgy/inclusion […]

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Development of nano-colloid with gold nanoparticles to detect Legionella pneumophila using the principle of localized surface plasmon resonance

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water […]

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Developing niosome-based vehicles to deliver plant immune aids

Innovative approaches that ensure food security in light of the increasing world population, increasing variety of crop pests and microbes, and accelerating climate change are urgently needed. Suncor has developed a novel plant immune aid that can effectively enhance the disease resistance of crops to enhance agricultural yields. Through this collaboration with Dr. Todd Hoare’s […]

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Surface modification to reduce biofouling on water quality monitoring devices

Biofouling is the unwanted accumulation of proteins and microorganisms on wetted surfaces. Accumulation of biofoulers on sensors and microfluidic devices greatly impairs their performance in assessing the physical, chemical, and biological condition of natural and processed water. Failure to obtain accurate data on these changes and respond in a timely manner may lead to serious […]

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Assessing Social Cognition in Autistic Youths and Adults

The goal of the project is to develop a series of standardized, performance-based computerized assessment tools for use in the examination of social cognition deficits in ASD. Drawing on the available experimental literature a number of potential assessment tasks will be identified, reviewed and configured for computer-based administration to children / youth with ASD. Programming […]

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Advanced combustion mode control for modern engines

Internal combustion (IC) engines are widely used in the world and in the following decades, it will remain the major source of transportation power. However, the emissions of IC engines, are demonstrated have negative impact on the human health as well as the whole environment. Hence, stringent emission norms are continuously imposed on IC engines. […]

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Battery Management System for Lithium-Ion Batteries in Electric Vehicles

Measurement of the SOC is one of the basic functions of BMS for lithium-ion batteries pack in EVs. It is equivalent to fuel gauge in conventional vehicles which will indicate the miles cars can still run and when they should be charged. So the accurate SOC is needed to estimate to prolong the lifetime and […]

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