Cloud hosting environments include large scale distributed storage systems. With the advent of Big Data, especially newer biomedical and biometrics data, collected from wearable monitoring devices, there is a high need for Cloud-based solutions for large scale storage and high bandwidth on-the-fly data analysis for such data. A key problem for IT companies that collect […]

Title: Evaluation of appearance, corrosion properties and leach-resistance of modified micronized-copper preservative treated wood Sponsor: Timber Specialties Co. Intern: Myung Jae Lee Supervisor: Paul Cooper University: University of Toronto Recently introduced micronized copper wood preservative system has successfully captured most of the treated wood market in the USA; however, it cannot be acceptable in Canada […]

While torque is an important parameter in automotive performance, there are currently very few effective methods to monitor it in vehicles. The aim of this project is to develop a low-cost solution for real time engine torque monitoring. An autonomous sensor module will be developed and mounted to the flexplate connecting the engine and the […]

While torque is an important parameter in automotive performance, there are currently very few effective methods to monitor it in vehicles. The aim of this project is to develop a low-cost solution for real time engine torque monitoring. An autonomous sensor module will be developed and mounted to the flexplate connecting the engine and the […]

The University of Toronto and Cameco Corporation propose to undertake a research project to adapt a measure of situation awareness to process control field operations. Situation awareness, or “knowing what is going on”, is intuitively linked to job performance in nuclear and chemical facilities. That is, if an operator “knows what is going on”, he […]

A critical challenge today in neuro-surgery is the determination of tumor boundaries intraoperatively. There are means of doing this using high-resolution MRI machines, however, these can be prohibitively costly. Optical coherence tomography (OCT) offers a promising, cheaper, label-free alternative. However, the basic models used for clinical, real-time OCT limit its usefulness and depth of focus. […]

A critical challenge today in neuro-surgery is the determination of tumor boundaries intraoperatively. There are means of doing this using high-resolution MRI machines, however, these can be prohibitively costly. Optical coherence tomography (OCT) offers a promising, cheaper, label-free alternative. However, the basic models used for clinical, real-time OCT limit its usefulness and depth of focus. […]

Pathologic changes that occur in the cervical spinal cord as a result of injury and disease are not well characterized with current clinical imaging techniques. Synaptive Medical has recently developed a suite of innovative medical imaging products focused on the brain and image-guided neurosurgery. They are interested in investigating the potential application of these technologies […]

This research seeks to address common issues that plague content and information management at small to medium–sized, knowledge–intensive enterprises. By using qualitative research methods and drawing on a theory of control this case study will provide specific, practical, and usable information about inefficiencies and pain points experienced by Algorithmics, in addition to enriching the trade […]

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 […]

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline […]

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 […]