Giving Voice to Aboriginal Families

Experiences in early childhood are fundamental determinants of lifelong well-being. In this project, we will give voice to Aboriginal families and caregivers on what they believe is important to the well being of their young children. A methodology adopted from social psychology, called ‘echo’ enables the values and beliefs of the population of interest to […]

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Deep Learning Analysis for Missing Tooth Detection in Mining Monitoring Systems

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

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Investigations in real-time spinal magnetometry using magnetoencephalography (MEG) for therapeutic biofeedback

Oscillatory neuronal activity can be quantified to help diagnose states of health and disease in the brain. These activities change on a fast time scale of milliseconds, which can only be captured by direct measurement of the brain’s electromagnetic activity. This is accomplished utilizing MEG and EEG technology, which can measure non-invasively these fast changes […]

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Temperature effects on geomaterials performance

The effects of temperature on the mechanical properties of geomaterials (e.g. soils, rocks) are important for the safety and life cycle of any infrastructures. The research activities in the field suggest that there is a lack of understanding due to limited experimental data. The seasonal climate change causes the variations in temperatures which may pose […]

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Human Body Model Acquisition and Tracking using RGB-D camera

Acquisition and tracking of human body is a key research problem in the fields of computer vision, computer graphics, and biomechanics. We propose a system that can used to create personalized human body model in normal room environment using just a single RGB-D camera. We want our system to be robust against illumination variations and […]

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Solving large–scale non–smooth stochastic optimization problems

Machine learning focuses on writing computer programs that can ‘learn’ from data. This is becoming increasingly important, as we try to understand the huge amounts of complicated data we are collecting (both in academia and in industry). While machine learning is one of the key tools we use analyze large datasets, it often has trouble […]

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Error-correcting codes for adiabatic quantum computation

There are many difficult problems in diverse areas such as bioinformatics, transportation or finance, which are very hard to solve on a classical computer. A new type of computer was conceived, called a quantum computer, which operates on the laws of quantum physics, as opposed to the laws of classical mechanics. Such a quantum computer […]

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UPnGO with ParticipACTION: Evaluating impact on the worksite environment and employee’s physical activity behavior

In order to improve the health and productivity of Canadians, ParticipACTION developed a rewards based, physical activity tracking intervention called UPnGO. The UPnGO pilot will aim to increase the amount of physical activity performed throughout the workday. Before and after the intervention, worksites will be assessed to determine what components of workplace environment and policy […]

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A pilot study of treating pressure ulcers with powdered Reconstituteable liquid Skin Substitute

Pressure ulcers are among the top five leading causes of re-hospitalization in patients with spinal cord injuries (SCI). Unfortunately, current conventional prevention and treatment methods have neither decreased the prevalence of these ulcers nor significantly improved their outcomes. To address this difficulty, here, we will test the efficacy of our new liquid skin substitute to […]

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PlaceSpeak

The purpose of this internship is to assess the commercial viability of PlaceSpeak, which is creating a new online e-commerce model, and creating a new service category. This will involve extensive research into current methodologies and best practices for eliciting and collecting public policy input from community residents, as well as current pricing models and […]

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