Development of innovative rock mass mapping techniques in underground mining

Considerable advances in geological and rock engineering mapping methods using both conventional and remote sensing techniques have occurred over the last decade. The primary objective of the proposed research is to develop the use Virtual and Mixed Reality (VR/MR), techniques in improving structural geological and rock mass field data acquisition. New uses of MR and […]

Read More
Next Generation PtM catalysts for Proton Exchange Membrane Fuel Cells

The production of optimised catalysts and catalyst layers for proton exchange membrane fuel cells is both labour intensive and time consuming. However, these materials and composites are of critical importance if proton exchange membrane fuel cells are to become commercially viable. Specifically, highly active catalysts are required in order to reduce platinum group metal content […]

Read More
Smart Fitness Wearables for Safety and Performance

Measuring the workout intensity and duration is necessary to judge training effectiveness. For instance, a training modality called high intensity interval training (HIIT), involves exercising for short intervals with maximum intensity combined with longer low-intensity recovery intervals. This form of training would help the metabolism to use more fat as fuel, improving athletic endurance, and […]

Read More
An ecosystem-based approach to conserving salmon species: Using bald eagle foraging behaviour as an ecological indicator to the health of coastal food webs and salmon ecosystems

Across British Columbia, pacific salmon species provide nutrients for coastal food webs and ecosystems by returning to their natal rivers to complete their spawning cycle. As salmon are the main prey species of bald eagles, it is essential to further understand the effect that the current decline in salmon populations across British Columbia could have […]

Read More
Development and Analysis of Electric-Assist Wheelchair Systems

A power-assisted wheelchair is a hybrid between manual and power wheelchairs that consists of an electric-assist system that can be easily mounted on a manual wheelchair. The market for power-assisted wheelchair systems has seen growth in the past decade because of their benefits on the health and mobility of manual wheelchairs users. However, current power-assisted […]

Read More
Understanding and improving techniques to teach financial literacy in children

Youths spend over $141 billion annually. Yet, these same youth often demonstrate extremely poor understanding of healthy financial habits such as emergency funds and budgeting. The proposed project seeks to tackle two main questions through the Dojo financial literacy learning application. First, what principles/techniques have been shown to positively impact financial literacy (e.g., interactive games, […]

Read More
Data Analytics for Social Network Marketing

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and […]

Read More
Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the […]

Read More
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 […]

Read More
Patient localization and identification using a Bluetooth-based sensor network

In general, hospital based medical personnel usually have little or no objective data describing an individual patient’s pre, intra and post-operative (perioperative) movement and activity. We are developing low cost and easily deployable technologies to monitor patient activity patterns and the associated intensities. We want to objectively identify medically important indicators of normal versus abnormal […]

Read More