The Impact of Knowledge Transfer in International Business on Early Childhood Education

This research focuses on three substantive areas (1) curriculum and instruction in early childhood education, (2) international relationships and partnerships in international business and (3) business management in knowledge transfers related to the challenges and possibilities of how early childhood education engages the various national settings in the global context. This study will identify the […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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Silicon Quantum Dot Trace Explosive Sensor

Development and testing of a trace explosive sensor based on silicon nanomaterials or quantum dots. The project will involve interaction and pilot testing with the RCMP and Transport Canada. The success of the project will enable Applied Quantum Materials to introduce a new product into the security marketplace and form a platform technology for the […]

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Understanding the scope for innovations in vaccine technology in the swine industry

Pig production is a vital component of the Canadian agricultural sector. Airborne bacterial pathogens Haemophilus parasuis, Actinobacillus pleuropneumoniae and Actinobacillus suis are major causes of swine respiratory disease and cause rapidly progressing systemic infections that lead to significant morbidity and mortality. We are developing engineered subunit vaccines that can simultaneously target all three pathogens and […]

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Maintenance Recommendation – Downtime Adaptive Learning

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, […]

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Quantifying soil organic carbon sequestration performance of the City of Calgary Willow Biomass and Marginal Land Reclamation Demonstration Project: Assessing provincial carbon emissions offset credit opportunities

The emerging emissions trading market provides the province of Alberta an opportunity to diversify its economy and drive climate change mitigation innovation. By improving the carbon credit generating efficiency, more economic opportunities and carbon sequestration industrial applications become feasible. The City of Calgary Dewatered Biosolids Land Application – Willow Biomass and Marginal Land Reclamation Demonstration […]

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Microbial contamination of TransX diesel fuel tanks.

The TransX Group of Companies is Canada’s largest privately owned transportation company. Its mission is to provide integrated transportation solutions to businesses throughout North America. In the fall of 2017, the Winnipeg office of TransX discovered that diesel fuel tanks for their long-haul refrigeration units contained a sludge-like, microbial biofilm and that the fuel filters […]

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Social Procurement Value Proposition

This project aims to develop a tool for cities and municipalities to use to negotiate and evaluate how large real estate development projects coming into communities, especially vulnerable neighbourhoods, can provide benefits back to that community. The specific focus of these benefits is on providing work and training opportunities for local residents, as well as […]

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Development of computationally efficient models for modular multilevel converters with integrated battery energy storage systems

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 […]

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VAL-083 combination therapies in chemo-resistant pediatric CNS cancers

More children die from brain cancer than from any other disease in the western world. Many anti-cancer drugs are unable to cross the blood-brain barrier to reach the tumor and certain genetic mutations in the tumor cells increase resistance to chemotherapeutics. The novel chemotherapeutic drug VAL-083 readily crosses the blood-brain barrier and accumulates in brain […]

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Energy Efficient 360 Video Processing for Portable VR-Technologies

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still […]

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