CO2-less hydrogen gas production via RF (radiofrequency fields) methane pyrolysis

One of the major challenges today is reducing greenhouse gas emissions (GHG) into the atmosphere and the increasing demand in the hydrogen energy sector. Currently, Steam Methane Reforming (SMR) is the industry standard in producing H2. Unfortunately, the H2 produced here is classified as “grey hydrogen” as the reaction between methane and water also produces […]

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Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data […]

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Criterium Group Fall 2021

Criterium Group will support the Energy Client in transforming operations and determining the most sustainable and economic decarbonization technologies to utilize at The Asset. The Asset site has important characteristics that facilitate bridging to the new technological solutions being pursued as well as beneficial infrastructure, integration, and geological attributes that could improve the feasibility and […]

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NLP-empowered Automation for Integrity Assessment in Legal Documents

Natural Language Processing (NLP) is a learning-based technique under the general scope of Artificial Intelligence (AI). NLP has shown its benefits in many application, including finance, accounting and auditing. Differing from semantic extraction in social media, text interpretation for auditing has the legal constraints, which is crucial in determining whether an invoice or a contract […]

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Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Legal Innovation Zone Feasibility Study

The Legal Innovation Zone Feasibility Study project brings together the University of Alberta Faculty of Law and Donna Purcell QC Law to consider the feasibility of a collaborative centre or “zone” that might support cross-disciplinary innovation in the legal system. Such a zone would aim to increase access to justice in a digital age, with […]

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Wireless gas sensor based on activated carbon and nanofibrillated cellulose for detection of food spoilage

Monitoring the quality of perishable food is critical for reducing the societal costs. A wireless intelligent gas sensor based on biomass/heavy oil-derived activated carbon will be prepared to monitoring the spoilage of food. Agricultural/forest biomass residual materials such as straw, sawmill waste, and logging residue, and cheap and abundant bitumen are feedstocks yielding high porous […]

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Journeys through Early Learning and Care

The Mitacs project will build on the findings of a 2019 study and explore the experiences of newcomer families—specifically those in the cultural minority—with children 0-5 years old in community-based early learning and child care (ELCC) in Edmonton. The study will look at the lived experiences of these families as they access and receive ELCC […]

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