Evaluation & sensitivity study of behind-the-meter load disaggregation methods

Solar energy generation at commercial and industrial sites has been gaining popularity in recent years. The addition of batteries to existing solar installations can allow for solar to not only be used during the day when the sun is out, but also at night. There however, are various hurdles to this process specifically involving the […]

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Sniffing Line in Mass Spectrometry for Direct Analysis

Mass spectrometry is a known for its capacity of detection of sample material with high sensitivity paired with high resolution and accuracy. Developing a “sniffing line” that would provide point-of-measurement capabilities for direct analysis of particulates on various surfaces is a necessary and novel method that will influence the mass spectrometry technique. Referred to as […]

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Optimal recharging scheduling for urban electric buses

Implementation of alternative fuel technologies for public transportation modes stems from increasing environmental concerns, technological improvements, and increasing demand for autonomous transportation, which is well exhibited by recent trends to replace diesel buses with battery electric buses (e-bus). Yet, scheduling and operational planning of electric vehicle (EV)-based transit modes is challenging due to additional considerations […]

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Sustainability analysis of biomass-based ethylene production

Ethylene (C2H4) is a critical chemical feedstock for polymer production (e.g., plastics); its global production is about 150 million ton/yr. Ethylene production accounts for 51.6% of the petrochemical production in Canada, and it is mainly produced in Alberta, Ontario, and Quebec, according to the Statistics Canada. Meanwhile, the industry is dealing with a variety of […]

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Identification of Polymorphic Malware using Fractal Complexity Analysis

In the proposed collaborative research, the focus will be on the application of fractal complexity analysis in anomaly detection. Many features are hidden deep within time series information such as network traffic, and complexity analysis will facilitate the extraction of such features. Complexity analysis takes advantage of the self-similar structure which is found widely in […]

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High-Precision Imitation Learning for Real-Time Robotic Control

In recent years, an increase in industrial robots in manufacturing has emerged. However, there are still possible safety issues and difficulty in specifying tasks for the robots to perform. The objective of this research project is to make a path planning system that uses demonstrations of how to perform a task to learn how to […]

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Machine-Learning for design and discovery of next generation CO2 electrocatalysts

Mitigation of CO2 emissions in conjunction with the implementation of renewable energy generation and storage are widely recognized among the most pressing technological challenges of the twenty-first century that aim to address runaway climate scenarios. The UBC team in collaboration with its industry partner (AGORA Energy Inc) has introduced the concept of CO2-to-energy via its […]

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Determining Properties of Agricultural Straw forEquipment Design and as Feedstock for theBiofuel Industry

Information on the physical and mechanical properties of the wheat stem could be greatly helpful in effective harvesting of the crop biomass as well as feedstock preparation (post-harvest processing) for the biofuel industry. Appropriate design of the harvesting systems or post-harvest processing equipment which is energy efficient depends on the access to physical properties and […]

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Potential of pyrolysis oil from biomass as a source for phenolic resins

Phenolic resin, also known as phenolic formaldehyde resin (PF), is a synthetic resin produced from the polymerization of phenol (an aromatic alcohol derived from benzene) and formaldehyde (a reactive gas derived from methane). Resins have applications from use as laminates to in construction materials such as wood and composite materials. The use of petroleum-based compounds […]

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Improving Resuscitation Equity using AI

For urgent, life-threatening medical conditions such as cardiac arrest and stroke, treatment is time-sensitive and must be received promptly to maximize the likelihood of patient survival. Previous research has shown that areas with lower socioeconomic status have higher rates of cardiac arrest incidence as well as lower rates of receiving timely treatment and patient survival. […]

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