A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]

This proposed project will support our ongoing efforts in scanning and screening existing technologies and de-bottlenecking key technology barriers in converting low-cost biomass residues to renewable natural gas in British Columbia pulp, paper and lumber mills. Specifically, we will focus on developing a bauxite residue (f.k.a., red mud) based catalyst for the removal of tar […]

The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that […]

Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the […]

Le lac Saint-Charles est le principal réservoir d’eau potable pour 300 000 citoyens de la ville de Québec. Le développement résidentiel et routier important dans son bassin versant affectent la qualité de son eau. Pour contrer cette situation, plusieurs ouvrages de gestion des eaux de ruissellement ont été mis en place au cours des dernières […]

Impairments of gait and balance often progress through the course of dementia, and are associated with increased risk of falls. Regular assessment of gait and balance could therefore be informative in tracking changes in functional status, and identifying individuals at a high risk of falling to allow for preventative measures. We have developed a technology, […]

The proposed project aims to develop numerical models using computational fluid dynamics (CFD) to understand and predict the performance of heat pipes in the context of cooling applications. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing a fluid to transfer heat at a very […]

This project involves the testing and characterization of new piezoelectric vibration sensors developed by the research group led by Prof. Bahreyni at the Intelligent Sensors Laboratory. These piezoelectric sensors have now been combined with another type of sensor – one with a capacitive transduction mechanism to improve the low-frequency sensitivity and noise performance. I shall […]