Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed […]

B.C. is home to many of the largest bridges in North America, as well as the largest earthquakes in Canada and the world. The ongoing research efforts aim to implement an automated monitoring system that detects and localizes post-earthquake damage on bridges in real-time based on ambient vibrations. The vision is that in the event […]

Molecular machines are compounds which can perform tasks or work given an external stimulus. One of the simplest tools available to scientists interested in nanoscale machines are molecular gears. Like their macroscale counterparts, molecular gears can turn and cause rotation in another part of the molecule in a controlled manner. While several molecular gears have […]

Catalysts speed up chemical reactions by lowering the energy required for a process to occur. In our daily lives, this phenomenon occurs very similarly to how catalytic converters in car exhausts work. By employing a catalyst, we can minimize waste and save energy, time, and money. However, to increase the performance of a catalyst, and […]

Manufacturing system reliability is significant in modern industry that requires high production speed, low maintenance cost, and enhanced operation safety. The proposed work is aiming to establish a systematic and applicable approach for condition monitoring of key machinery (e.g. bearings, gearboxes, motors) through multiple sensor fusion and deep learning. With the capability of working under […]

Lipid-based nanoparticular drug formulations are a successful technique to enable targeted treatment. The Canadian company Precision Nanosystems Inc. (PNI) develops the innovative instrument family NanoAssemlr for lipid nanoparticle preparation based on microfluidics. These instruments are fast, easy-to-use and provide a high batch-to-batch reproducibility and quality. Recently, we developed a novel lipid nanoparticle formulation with the […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Exploring the best smart energy choices to meet the growing energy needs of British Columbia (BC) is important due to Canada’s new climate change mitigation targets as well as the rising economic burdens of energy use. A collaborative study has been proposed between UBCO and FortisBC identify smart solutions energy conservation, climate change mitigation, demand […]

This project uses social cartography as its main methodological and collaborative tool to map practices that enable or hinder successful collaborations in spaces of socially engaged art between members of various communities in historic dissonance. These include artists from Indigenous and other racialized communities. More specifically, this project explores the potentials of post-representational uses of […]

Teck Resources Limited is searching for a method to characterize and quantify the heterogeneity of ore based on numerous parameters. Naturally, when characterizing an ore body’s heterogeneity, the variability in the deposit can contribute towards the sortability of the deposit. The main objective of this research is to investigate a method to quantify the sortability […]

Monitoring dairy cows individually around the time of calving and during lactation has the potential to identify calving difficulties or cows at risk of developing disease, as well as cows in estrus to create alerts for dairy farmers. Therefore, there has been an increase in research investigating methods to accurately predict timing of calving, disease […]

The specific aim of this project is to design and manufacture affordable, high fidelity, and high quality synthetic surgical training models of diseased valves and arteries to simulate the possible surgical options such as prolapse mitral valve reconstruction surgeries, aortic valve repair for aortic insufficiencies (novel idea) and coronary and radial arteries [side to side […]