Comparative effectiveness of prophylactic therapies for necrotizing enterocolitis in preterm infants: a network meta-analysis of randomizedtrials

Necrotizing enterocolitis (NEC) is the most common and serious intestinal disease among premature infants. It happens when tissue in the small or large intestine is injured or begins to die off. This causes the intestine to become inflamed or, in rare cases, develop perforation. It is associated with significant mortality and morbidity in preterm neonates. […]

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Fostering Best Practice in Canadian Wastewater Systems

The research project aims to determine in what ways can investment in wastewater treatment better maximize environmental and economic benefits to enable sustainable community development. The research will include identifying, and analyzing areas of economic and environmental opportunity, including improved project management, energy capture and reuse, asset management, and repurposing of waste materials (biosolids and […]

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Meander Belt Delineation Procedure: An evaluation of current practices in Southern Ontario

Meander belt delineation is required as part of planning and development policies and species at risk legislation. The ultimate goal of the delineation procedure is to reduce loss or damage of property, limit development encroachment, and protect natural areas or sensitive habitat along river systems. In partnership with Beacon Environmental Ltd., an environmental consulting company […]

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The Science of Body Sugaring – Part 2

Sugarbush Spa is a London-based company that specializes in the removal of unwanted body hair by a method known as sugaring. The method, used for centuries in the Middle East, has several notable advantages over traditional waxing. Commercially available sugaring pastes suffer from inconsistency in production and unsatisfactory performance. At its core, the creation of […]

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Quantifying the effects of the Green Energy Act and the determinants of resistance to wind turbine development in Ontario

In 2009 the Government of Ontario enacted the Green Energy Act (GEA) to promote the development of renewable energy projects. Subsequently, the importance of wind generation both for electricity generation and in public debate has grown dramatically in Ontario. While the GEA simplified the regulatory process for developing renewable energy projects, wing turbine siting has […]

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Mobile Augmentative and Alternative Communication (AAC) Technology

The research project will involve the development of features and techniques to aid people with communication disabilities through the use of consumer mobile devices (ex. smartphones) and tablet computers. Some of the major areas of interest include: location aware vocabularies, predictive sentence construction, and support for alternative input for people that also suffer from motor […]

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National ID Systems and Techniques of Population Control: The development of surveillance-assisted political economy from colonial to neoliberal times in Japan

My project investigates the colonial development of Japan’s national identification (ID) systems, and the transformation of those surveillance techniques in our digital age. National ID systems identify individuals with a centralized ID number, collect and use the different kinds of personal data for multiple purposes. Those ID techniques have spread rapidly in the “war on […]

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Measuring, Tracking and Improving the Effectiveness of SBL’s Youth Space-Jobs Program

This research project will track, analyse and examine the effectiveness of Success Beyond Limit’s (SBL) Youth Space and Jobs Program. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to secure (and keep) meaningful employment. This research project will capture those experiences of these young people, identify the barriers […]

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Utilization of Machine Learning in an Automated Framework for Evaluation and Management of Information Security Risk

During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk […]

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Learning Approaches to Graph Structure Discovery

The project would explore the use of modern techniques from the field of Machine Learning to identify networks from observational data. This is an important area of research in fields such as neuroscience and genetics, where it can shed light on the nature of various disease. Other applications include discovering influencers and communities in social […]

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