Organizations face increasing pressure to articulate organizational risk appetite/tolerances but are not adequately equipped to do so. To remedy this problem, this project addresses how an organization should determine and express its risk appetite and tolerances. It employs qualitative research methods to integrate diverse theory, practice and policy literatures with the partner organization serving as […]

This research project will examine the challenges facing service providers in running the Worktopia program and aim to develop strategies to overcome those challenges and improve the program delivery. The Worktopia program is a training program designed to improve the employment readiness and skills of young adults with Autism Spectrum Disorders (ASD). The program will […]

Celiac disease is an autoimmune dysfunction that requires strict adherence to a gluten-free (GF) diet in order to prevent detrimental health outcomes. Following a strict GF diet is difficult given that gluten is added as a preservative or binding agent to many foods. Findings from a review suggest strict adherence to a gluten-free diet is […]

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing costs, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working and optimized prototype and to start testing it in […]

The main objective of this work is to identify and evaluate technologies which capture water from natural gas combustion flue gas from oilsands steam generators, as well as recover energy from the hot flue gas. This includes classification of technologies to evaluate their fundamentals and technical viability (1), feasibility for a particular SAGD scheme with […]

With the rapid development of computing and sensing technologies, such as ubiquitous wireless sensor networks, the amount of data from dissimilar sensors and social media have has been increasing at a rate beyond using traditional tools to analyze. Big data poses interesting information and requires different tools in various layers of the multi-sensor decision support […]

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

As ladders are such a common tool, its potential improvement can be easily overlooked. The purpose of this project is to invent a new ladder design. To avoid the lock-in effect of existing ladders, topology optimization is applied to explore new possible designs. The key of this technique is to let algorithms search for theoretically […]

When natural pervious lands are replaced by impervious areas due to urbanization, rainfall – runoff processes are altered and in turn have negative impacts on urban water environment. Low Impact Development (LID) technologies such as permeable pavements and bio-retention systems offer a promising solution to urban stormwater management. In order to develop more efficient urban […]

The study focuses on the assessment of motor proficiencies of children before and after their involvement in a specialised recreation program, when compared to children of the same age who are enrolled in standard parent-selected programming. The specialised program sets at introducing children to a wide array of activities in multiple environments, and are taught […]

Heavy oil and bitumen in-situ extraction aided by solvent addition is a potential EOR technology that provides an alternative to the current thermal processes. However, its mechanism is not well understood yet. The aim of this study is to improve the understanding of solvent based processes by history matching experimental data using a reservoir simulator […]

The scope of this project is to construct a physics-based analytical model through the bond graph modeling for a reciprocating compressor. The purpose of this model is to quantify input-output relations among mechanical components involved in a compressor, particularly under normal operating conditions. Such a model, once validated and calibrated can serve as a baseline […]