The intern will be participating in a multifaceted and interdisciplinary project involving a case study on the current commercially avialable low emissions technologies and emerging renewable energy technologies. They will create social media marketing content to spur interest and careers in these sectors by attracting Canada’s brightest young innovators and entrepreneurs. Through partnership with the […]

This project explores how computer algorithms will be used to predict the intelligibility and quality of in-car speech processed by hearing aids. Hearing impaired listeners graded in-car speech for a set of conditions. The conditions include seating position of talker, seating position of speaker, levels of background noise, and hearing aid processing methods. Each hearing […]

Cashflow uncertainty due to customer behaviors poses special challenges to a bank’s ability to accurately forecast its future cashflows, and therefore makes its funding and risk management difficult. In the proposed research, we plan to use cutting-edge machine learning techniques to study the behaviors of bank depositors and borrowers in Canada using an extensive proprietary […]

People who live in countries with low inequality (where the gap between the rich and the poor is small) tend to be healthier on average. Countries with low inequality (like Finland and Denmark) also tend to have a lot of social mobility across generations. In other words, people’s chances of success don’t depend on how […]

Research into the psychological functions of music is rapidly growing. New technologies and facilities are beginning to allow more extensive research into the effects of music engagement and in more naturalistic settings, such as a live concert. In collaboration with the McMaster Institute of Music & the Mind, we plan to conduct an empirical study […]

Clostridioides difficile (C. difficile) infection (CDI) is a common disease associated with hospital stays and is caused by a bacteria known as C. difficile. This project will examine transmission patterns of the bacteria and attempt to develop methods for detection of the pathogen in order to reduce incidence of the disease. This will ease the […]

The proposed research aims to contribute to the development of a recycling process for waste magnets. The proposed method is based on slag treatment which is a high temperature process for separation of one element from another based on their difference in oxygen affinity. For example, the affinity of neodymium for oxygen is significantly higher […]

My research focuses on understanding the mechanism of action of a new class of tumor suppressor genes using the well established round worm (nematode) model system. Previously published data from Gupta and Chamberlin lab have shown that deleting the function of these genes causes excessive proliferation of cells (similar to cancerous growth). To further understand […]

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

The proposal of the project Structure of Zero GHG Footprint Sustainable Community will benefit the community. The creation of the module design system using aquaponics methods, exploring the design of cooling system and thermal system will integrate the full process of producing sustainable food with zero pollution to the environment. As a researcher in this […]

We are developing a P2P/AI marketplace, and we’ll integrate a matching process to let roommates match between them, or hosts to find the ideal tenant, based on different criteria, like lifestyle, interests, backgrounds, university, neighbourhood, space / time, reviews, market predictions, etc. The candidate will do research development and will apply knowledge of advanced analytic […]

Fire-related events can result in substantial losses represented by injuries, fatalities, and structural damages. To protect Canadians, there is a real need to identify key risk factors that contribute to the frequency and severity of such events, and subsequently, devise mitigation strategies that prevent structural fire risks. The powerful combination of incident data sources and […]