Mapping Building Conditions – perhaps a bit more – for what purpose

Despite advancement in asbestos education and knowledge, there remains a shortcoming in area of management of asbestos exposure, which results in human health impact. This shortcoming was documented in a study carried out in Minneapolis, Minnesota (Alexander et al 2012). Alexander and colleagues examined the population exposed to asbestos and looked into evidence of lung […]

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Large Data Visualization in Real Time

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they […]

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Synthesis of high-quality exfoliated graphene by thermal plasma: A feasibility study

Industries using fossil fuels as their energy source are contributing to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a products of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emission. One of the commercially available electric heaters […]

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UofT-JMIR Paper-Peer Reviewer Recommender System

Rapid and open dissemination of research is critical for the advancement of science. Preprint servers (such as MedRxiv, BioRxiv, PsyRxiv, and aRxiv) are becoming increasingly popular in health and medicine to share early research results, particularly in the context of the current COVID-19 pandemic. Given the need for rapid peer review, we need to innovate […]

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Effects of plant mix, restoration year, and management regime of urban meadows on plant-pollinator network size, structure, and diversity

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant […]

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Development of a textile-based sensor for measuring body fluid

Heart failure (HF) is the third most common reason for hospitalization in Canada, where, the direct health care costs of HF are $2.8 billion. HF affects 600,000 Canadians with median survival of only 1.5 years after diagnosis. HF patients stay longer at hospital. Even after discharge, 1 out of 5 of patients returns to the […]

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Using low-cost, wearable, sensors to detect driver state: Towards development of new algorithms for real-time detection of driver fatigue

Driver drowsiness is one of the leading causes of road-based crashes. Using a driving simulator study, I plan to help with the collection of data on drowsy drivers, analysing drivers’ physiological metrics, such as eye-tracking, heart rate variability and skin conductance, using low-cost consumer grade sensors. Using sensor fusion of the physiological data, I will […]

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Delineation and phenology of the invasive box tree moth (BTM) in Toronto

The box tree moth (BTM) (Cydalima perspectalis) is an invasive insect pest from Asia that was confirmed to be present in Etobicoke, Ontario by the CFIA in November, 2018. This is the first known introduction of BTM to North America. BTM attacks boxwood (Buxus spp.), a popular broadleaf plant used in residential and commercial gardens, […]

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Gamifying Learning: From Research to Practice

The project is intended to support and enhance the learnings provided by Stem Minds – a Toronto based start-up that provides digital learning focused on Science, Technology, Engineering and Mathematics (STEM), through the approach of gamification. The project will focus on the factors that motivate students to learn STEM subjects through gamification to deepen their […]

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Unilever Canada Collective Intelligence Platform

Research project “Prophet” aims to build a demand forecasting pipeline that collects data and applies machine learning models to make accurate predictions of future demands under unstable scenarios. In particular, this project will focus on efficient forecast of Unilever’s base SKUs and involve model development based on time-series, machine learning and possibly combinations of the […]

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Web Page Contextual Sub-Components Recognition and Identification

The intent of this project is to build a web-page content subsection identification and analysis service. The subsections of a web-page are considered to be meaningful page components (articles, images. media blocks) that can be identified and uniquely fingerprinted. The intent of the project is fourfold: a) sub-component identification and fingerprinting b) sub-component content change […]

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Robust and practical tools for imaging vascular reactivity in the brain

Vascular disease (problems with blood vessels) are a leading cause of death and disability. Stroke alone (blockage of blood vessels) is the 4th biggest killer globally (3rd in Canada), most disabling (2/3rd of survivors disabled) and costs society ~£26 billion a year in the UK. It can be hard to detect. A brain that has […]

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