Human Motion Inverse Optimal Control Constraint Learning and Inertial Measurement Unit Sensor Design for Rehabilitation

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

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Cost Analysis of Smart Energy Network at residential to community levels: integration of natural gas, electricity and heat with end-use devices

There is growing pressure from intergovernmental organizations, governments and consumers to reduce the quantity of greenhouse gases being released into the atmosphere. Investments in green technology such as renewable energy sources, battery technology and carbon capture and sequestration can often yield significant reductions in carbon emissions. However, the corresponding economic costs of these projects can […]

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Novel Approaches for Practical Machine Learning

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]

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Embedding a Climate Change videogame in High Schools: Towards a Teacher’s Guide for Engaging Students with a Place-based Videogame – Future Delta 2.0

At the moment, BC has no comprehensive climate change curriculum in high schools, and educators lack coordinated materials to support its teaching. In an effort to narrow this gap, the Collaborative for Advanced Landscape Planning (CALP) at the Faculty of Forestry, UBC partnered with the Delta School District, to develop an educational and compelling videogame […]

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Optimizing Forest Resource Management and Small Scale Wood Manufacturing – A case study with Chief Isaac Inc. business arm of the Tr’ondëk Hwëch’in First Nations, Yukon Territory

Traditionally, the forest management practice in the Dawson City area (YT) has been clear-cut management, in which all trees of a given area are harvested. As the local First Nation (the Tr’ondëk Hwëch’in Nation) seek to become more involved in the management of the local resources, the opportunity has arisen to transition to an alternative […]

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Microbial genomics for de-risking offshore oil and gas exploration in Nova Scotia

The proposed project fits within a broad initiative in offshore oil and gas exploration geoscience mapping led by the Nova Scotia Department of Energy (NSDoE), the project’s End User. The province has partnered with Dr. Casey Hubert (University of Calgary) to develop, validate, and deploy three new genomics-based bioassay tools for offshore prospecting on the […]

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Aurora Lighting

The proposed project contributes to the development of a product for use in public spaces to provide LED lighting which is made interactive through sound responsiveness. This sound responsiveness is made possible through the use of modern micro-computers which can be programmed to use sounds in the environment to create different lighting effects. Unfortunately, this […]

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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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Growing Canadian Cleantech: Improving Seaforth Energy’s access to the Indian small scale wind turbine market

Seaforth Energy is seeking to expand its small wind turbine business to the rapidly growing Indian market where ‘off-grid’ sustainable energy solutions are needed. In order to assess the feasibility of such an endeavor, this research project will examine the current Indian renewable energy policy and investment climate. However, Seaforth’s success in penetrating this market […]

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