Bicycle Aerodynamic Sensor Development

The interns in this project will help to develop a sensor system capable of measuring the aerodynamic forces on a bicyclist. The measurement will be done in real-time; i.e. the rider will be able to see as they ride down the road how changes in their position or equipment affect their drag, and hence be […]

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Machine learning approaches for event prediction, relation modeling, and inference

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will […]

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Investigation of New Gelation Agents

This project involves the synthesis, characterization and evaluation of new low-molecular weight gelators for cleaning up oil spills. First responders to oil spills can add these gelators to the oil / water mixture to prevent spreading of the oil before additional resources are available to clean up the spill. This project will involve collaboration with […]

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Experimental and numerical investigation on force-based and performance-based seismic design of bridges

Bridge infrastructure constitutes a substantial portion of national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. This study focuses on investigating the force-based and performance-based seismic design of bridges specified in the latest version of Canadian Highway Bridge Design Code 2014. Both experimental and numerical studies will […]

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Inclusion of Indigenous Knowledge in Resource Decision-making: innovative research methods, guidelines, and digital tools

The objective of our research is to reach appropriate recommendations, revelations, and transformative insights based on a survey of the field of Community-Based Monitoring and its understudied methods, while also developing a more inclusive process to achieve this, and applying that process in the creation or refinement of CBM digital tools. In particular our research […]

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Automating Analysis of Privacy Requirements

Against a backdrop of alarming privacy breaches at social media, banking, and government websites, the European Union will see the General Data Protection Regulation (GDPR) come into force as of May 25 2018. GDPR will drastically increase fines for data loss and breach, introduces new requirements to obtain individual consent for data use, and defines […]

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Embedding Project

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together thoughtful sustainability intrapreneurs from across industries and around the world, and harnesses their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience […]

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Evaluation of Mazzaella Japonica as a Food Additive for Ruminants

In collaboration between Thompson Rivers University (TRU) and Beaver Meadow Farms (BMF), we propose to investigate the invasive foreign red seaweed Mazzaella Japonica as a food additive for ruminant livestock, primarily cattle. BMF is a multi-faceted agricultural company based on northern Vancouver Island built around organic pasture-raised cattle but also the harvest of storm-cast Mazzaella […]

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Evaluation of Mazzaella Japonica as a Food Additive for Ruminants – Year two

In collaboration between Thompson Rivers University (TRU) and Beaver Meadow Farms (BMF), we propose to investigate the invasive foreign red seaweed Mazzaella Japonica as a food additive for ruminant livestock, primarily cattle. BMF is a multi-faceted agricultural company based on northern Vancouver Island built around organic pasture-raised cattle but also the harvest of storm-cast Mazzaella […]

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The Genetics of Blood Biomarkers in COPD

COPD is a progressive inflammatory airway disease characterized by persistent and progressive airway inflammation. It is a major cause of global morbidity and mortality and is predicted to become the third leading cause of death by 2020. Biomarkers may be useful for diagnosing disease considering that the usually used lung function measures have poor correlation […]

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3D visualizations for neuroscience education, research, and clinical applications

As new technologies are rapidly being integrated in postsecondary institutions, the question is often where to focus investment and how to facilitate adoption of new technologies by faculty and students. The advent of an era that will increasingly rely on the use of augmented and virtual reality in the instructional arena necessitates the creation of […]

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