The Eldorado Gold Corp. has developed a method of treating a hard-to-process ore from a mine in China in order to increase their recovery of gold. While this process has proven to be effective, more research is needed on the exact method in which this technique works on a very small-scale and detailed basis. The […]

This project aims to develop a standard that relates the loss of functionality in the porous transport layer (PTL) due to the presence of defects to the performance of a polymer electrolyte membrane fuel cell. This work attempts to screen defects in the PTL using previously developed testing protocols. Currently there are no existing protocols […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

MetaMixis, Inc., is a Canadain company undertaking a global effort dedicated to decreasing our reliance on petrochemicals by transitioning to engineered microbial processes or biocatalysts for the production of sustainable products. In the past few years MetaMixis has successfully developed a functional screen to recover metagenomic scaffolds sourced from various proprietary bacterial communities. They have […]

The proposed research project is to conduct remotely controlled experiment with the Central South University (CSU) in China to study the structural behaviour of typical concrete piers for high-speed railways. The student will be in China for the physical tests while command signals to run the experiment in China will be sent by a computer […]

igmotion Inc. was created to develop wearable health monitoring sensors and service the ‘at-home’ care segment of the elder care market. This project involves studying of existing literature and development of novel solutions for power management and energy harvesting for the product including tracking and fall detection systems using hybridpower. Analysis of proper control approaches […]

The successful commercialization of the automotive fuel cell requires lowering costs of key components in the fuel cell stack, such as the catalyst materials at the centre of the electrochemical cell generating the energy. Nanoparticles of platinum supported on mesoporous carbons are typical materials being used for the current generation of the fuel cell stack. […]

Recently we have demonstrated that multicore-shell nanoparticles, made of cadmium telluride and zinc oxide, have great potential to be applied into the field of renewable energies due to the ability to split water into H+ and · OH upon irradiation of visible light. Herein we originally propose the utilization of those nanoparticles for a new […]

In this project, we will develop solid-state hydrogen storage materials for the potential applications of fuel cell electric vehicles. Based on the most cutting-edge achievements in related fields, two categories of two-dimensional layered nanomaterials are proposed. Their hydrogen storage capabilities will be elaborated by in-depth characterization of material structure and hydrogen storage properties. Moreover, we […]

The objective of the proposed research is to investigate novel solid-state materials that have potential for hydrogen storage applications in fuel cell electric vehicles. Of interest are materials that can store hydrogen at ambient conditions and low pressures, have high gravimetric and volumetric hydrogen capacities, and can be safely packed into a hydrogen storage tank […]

The Mount Polley tailings impoundment failure released 24 million m3 of mine-influenced water and sediment into the surrounding watershed. The scale of this spill is unprecedented in BC history, and the effects on current and future ecosystems are unknown. Of paramount concern is the containment of toxic metal-containing compounds that threaten aquatic life. My research […]

The second project also relates to the application of VA to financial systemic risk analytics. The report on the NSF-funded workshop on Next-Generation Community for Financial Cyberinfrastructure for Managing Systemic Risk identifies the need to develop robust simulations and computational models in order to manage systemic risk. Many of these are in the form of […]