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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Development of Strategy and Implementation Plan to Introduce AI based RainGrid’s Disruptive Digital Stormwater Smartgrid Technology in North American Markets in an era of Global Climate Change

The goal of this project is to develop a detailed strategic analysis and market/finance/commercialization strategy identifying gaps/barriers, opportunities/resources and benefits of developing the Ai/IoT digital “Stormwater Smartgrid” technology and its concomitant implementation business model for North American market. This research project in collaboration with McMaster University will help RainGrid to facilitate the commercialization of the […]

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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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EMR Clinical Decision-Making Application for Hamilton Health Sciences ChronicPain Centres

The proposed internship will provide an opportunity to observe and evaluate the implementation process of an Electronic Medical Record (EMR) application. It is an opportunity for an eHealth student to evaluate from many different viewpoints: programming and software development in response to requests for clinical and academic deliverables; training and introduction process for business support […]

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Behavioral Clustering in Big Data with Application in Super Customer Networks

Analyzing customer behavioral patterns and attrition aids organizations in understanding its core customers and improve its decision-making processes in regards to customer attrition and targeted marketing. In this research project, we will develop behavioural analytics super network models and algorithms for behavioural customer segmentation and attrition prediction in the presence of big data. Our models […]

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Development of a stable and printable carbon nanotube based bioink for E.coli detection

Early detection of pathogen biomarkers such as E. coli is important for management of water bodies and agricultural farms. This information is invaluable to municipalities, provincial governments and private enterprises. Such information could have probably prevented the worst-ever outbreak of E. coli contamination in Bruce County, Ont. in 2010 where 2,300 people fell ill and […]

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A Novel Cognitive Remediation Intervention for Public Safety Personnel with Post-Traumatic Stress Disorder (PTSD)

Urgent calls exist to address the mounting crisis of mental illness, and in particular posttraumatic stress disorder (PTSD), among public safety personnel (PSP; e.g., firefighters, police, paramedics) in Canada. Critically, PTSD is associated with alterations in cognitive functioning (e.g., poor memory and attention) that disrupt the ability of PSP to engage in activities such as […]

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A Novel Cognitive Remediation Intervention for Public Safety Personnel with Post-Traumatic Stress Disorder (PTSD) – Year two

Urgent calls exist to address the mounting crisis of mental illness, and in particular posttraumatic stress disorder (PTSD), among public safety personnel (PSP; e.g., firefighters, police, paramedics) in Canada. Critically, PTSD is associated with alterations in cognitive functioning (e.g., poor memory and attention) that disrupt the ability of PSP to engage in activities such as […]

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Targeting platelet-neutrophil axis: a novel therapeutic approach for Scleroderma

Scleroderma or Systemic Sclerosis (SSc) is an autoimmune disease characterized by progressive fibrosis of skin and multiple internal organs and prominent and often severe alterations in the microvasculature. Although SSc is the third most common systemic inflammatory autoimmune disease, there is currently no effective disease-modifying therapy for SSc. The overall objective of this project is […]

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NMR Chemical Shift Prediction for Diamagnetic Li-Ion Solid-State Electrolytes

This research is focused on understanding the microscopic mechanisms of lithium ion dynamics in novel solid-state electrolyte materials, which have a wide array of potential applications ranging from electric vehicle batteries to grid storage of renewable energy. A major gap in the development of all-solid-state batteries, which will be safer and more energy-dense than state-of-the-art […]

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