Big Data for Fraud Detection and Prevention

Accurately and rapidly detecting fraudulent transactions is primordial in the course of any corporation?s routine operations and essential to its commercial viability, especially a deposit-taking bank. We investigate the use of computer-based techniques to automatically detect fraudulent use of a real banking network. Our goal ultimate goal is to make electronic commerce safer, which will […]

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Assessing Nutrient Retention in Sediments and Harmful Algal Blooms in the Bay of Quinte by Field, Laboratory and Modelling Studies

The impaired beneficial use “Eutrophication & Undesirable Algae” is the main reason that the Bay of Quinte was declared an “Area of Concern” (AOC) in 1986. External and internal nutrient loadings are among the main reasons for this impaired beneficial use. The development of a long-term phosphorus reduction strategy is a key remaining activity needed […]

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Design and Control of Bio-Inspired Micro-Swimming Robots

This project involves the design and control of micro-scale swimmers inspired by living micro-scale organisms. In 3D, swimming can be executed by several types of motion. At the micro-scale low-Re environment, fluid flows are classified as ‘creep’ or Stokes flows, and thus are speed-independent. To create forward motion, symmetry must be broken in the swimming […]

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3D Printing and Domestic Use

The current discourse around the widespread adoption and particularly domestic use of 3D printing is focused on the notion that this technology will give users access to customized or highly specific objects/parts (which might otherwise be difficult to obtain) when the need arises. The goal of this research will be to examine the validity of […]

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GPU Performance Auto-tuning Using Machine Learning

Optimizing a program for Graphics Processing Units (GPUs) is critical for performance, yet remains a challenge due to the non-intuitive interactions among the optimizations and the GPU architecture. Automatic optimization tuning for a GPU is demanding particularly given the exploding number of mobile GPU variants in the market. We explore the use of machine learning […]

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Sleep quality and weaning from mechanical ventilation: a physiological clinical study

In mechanically ventilated critically ill patients, sleep disruption may contribute to prolonged weaning leading to longer intensive care unit stay and hospital mortality. It was reported that sleep disruption affects the outcome of noninvasive ventilation and we hypothesize that it may also have an impact in mechanically ventilated patients on the weaning outcome. We propose […]

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Building the cycling economy beyond the urban core

Cycling for transportation increases local economic benefits by: improving the local business environment; reducing commercial vacancies; and increasing sales and employment opportunities (Stabinski, 2009; Walljasper, 2012; Racca and Dhanju, 2006; New York City DOT, 2013). This project will study how targeted interventions to increase cycling for transportation in Scarborough can advance cycling participation, job creation, […]

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UTSC/MHS/RREES Inter-disciplinary Assessment & Rehabilitation Centre for Excellence

The purpose of the funding is to provide initial support towards the establishment of an Inter-disciplinary Assessment and Rehabilitation Centre for Excellence. This center will be initiated between the University of Toronto Scarborough (UTSC), Multi-Health Systems (MHS), Rehabilitation Research, Education and Evaluation Services (RREES), with consultation and data collection support by RTW Integrated Health Management […]

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SMART Technologies for the Classroom: Supporting Collaboration and Inquiry Year Two

Since 1991 SMART Technologies has infused classrooms around the world with powerful interactive technologies, principally the “SMART Board” which sets a standard for interactive whiteboards. The SMART Board has been featured in many innovative designs for learning and instruction – some coming from academic research, and many from classroom teachers as they integrate touch boards […]

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Large-Eddy-Simulation of Brain Aneurysms

Rupture of cerebral aneurysms often leads to mortality or sever morbidity in most cases. Pathogenesis of aneurysms has been attributed to abnormal flow-induced forces that act on the vessel walls. These forces are typically measured by first recreating patient’s aneurysm model from medical images, and, afterwards, using these as input for computational fluid dynamics (CFD) to […]

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Shanghai Teachers’ Experiences of Reciprocal Learning on a Shifting Shanghai-Toronto Interschool Landscape

While the term “reciprocal learning” intuitively suggests two or more parties learning from each other with a sense of mutuality, understanding and respect; the concept, when promoted in a multi-year, multi-stakeholders collaborative studies of Chinese and Canadian school education, became less straightforward, leading to various research puzzles, intricacies and consequences. My research aims to understand […]

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