The research will be using visual information from the phone’s camera as well as demographic information from participants and implement various machine learning algorithms such as random forests, support vector machines, etc. to provide feedback regarding different exercises to the participant. Specifically, the algorithms will classify the exercise types. Furthermore, these algorithms will be optimized […]

Depression is expected to become the second leading cause of disease burden worldwide by the year 2020. Cognitive Behavioural Therapy (CBT) is one of the most effective methods of treatment for depression. CBT may be less effective, or ineffective, in the setting of patients in receipt of disability benefits who are likely to, on average, […]

The project will employ three undergraduate coop students and one post-doctoral fellow to work with the MesoMat team to improve the sensing capabilities of the fiber technology that has been developed at MesoMat and develop robust production methods. MesoMat has developed a fiber-based sensor manufactured from plastics and nanoparticles. These materials change their resistance when […]

Healthcare facilities collect and produce vast amounts of clinical-relevant data. Various AI-related methods (like computer-aided detection for mammography and the learning and visualization of clinical pathways) are applied to healthcare these days, and visualization techniques are also used to support clinicians due to the complexities of clinical data. This self-contained survey focuses on the assessment […]

type of treatment they will provide to patients. With technological improvements and the availability of a significant volume of data, it is increasingly difficult for care providers to properly evaluate and analyze the options available to them. The current health condition of the patient–reflected in the monitored observations which are recorded in EMR–may depend on […]

The purpose of the research project is to develop options for the reduction of the carbon footprint at Hydro One Networks Inc. (HONI).The research will focus on helping HONI meet a reduction goal of half of current emission levels over the next decade. The company has taken preliminary steps to assess and plan for reduction […]

The point-of-care i-STAT and VETSCAN units are easily portable blood-based assessment tools that can produce relevant blood parameters within minutes with only 2-3 drops of blood. The objective of this study is to examine both natural and investigator-applied stress gradients in fishes and compare blood chemistry of fishes from a range of environments (e.g., low […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

We aim to develop a new algorithm to detect changes in serial MR examinations. Computer-based change detection system is an important tool to automatically process abundant information produced by imaging systems and assist physicians to identify clinically important changes in the images. Many existing methods are computationally costly. The emerging mathematical theory of compressed sensing […]

The project seeks to make online management of credit card usage easier by developing new design methods for making information easier to understand in digital platforms. Through rhetorical accommodation, or the process of translating complex information into simpler forms, the project will improve TD’s web-based (EasyWeb) and mobile (TD App) platforms so that credit card […]

Understanding the fate of biochar in boreal soils is critical in order to develop appropriate application rates and carbon credits. Accurate models of biochar stability and carbon density are required for proper carbon accounting. The intent of this study is to model the long term stability of charcoal in northern forest soils. We will utilize […]

Electric Vertical Take-off and Landing (eVTOL) vehicles represent the new frontier of transportation electrification. Since the dawn of aviation, enthusiasts have dreamed of “flying cars” that can reduce trips that take hours on the ground to minutes in the air, improving productivity and quality of life. What was previously the realm of science fiction is […]