Smart Controls for Dedicated Outdoor Air Systems in an Era of COVID-19

Existing HVAC system design may be contributing to the spread of viruses such as COVID-19 with transmission through ventilation systems. Many HVAC systems recirculate up to 85% of the air, can have cross-contamination of the exhaust air stream with the supply air stream and virus transmission is more likely to occur when the relative humidity […]

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Development of intelligence system for enhancement of automatic recognition and classification of normal and abnormal cells of human blood images

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. In this project we are interested to investigate and develop a system for enhancement of automatic recognition and classification of human blood images. Smart tools for medical applications have high importance and increasing […]

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COVID19 and Disclosure of Risk in Energy Exposed Sectors

COVID19 has accelerated shifts in the global energy market such that energy companies and banks may be impacted in the medium to long term. At the same time, the decarbonization of the world’s highest carbon sectors present opportunities for alternative energy carriers. For investors and policy makers it is important to understand the scope and […]

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AI-enhanced lung ultrasound to detect lung involvement in COVID-19

The COVID-19 virus causing the current pandemic leads to severe illness and death when it involves the lungs. This occurs in a way that conventional X-Rays often cannot show. Experience in other countries and with a similar condition known as ARDS suggests that lung ultrasound can accurately detect COVID-19 lung involvement. Lung ultrasound is harmless […]

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A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different […]

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Handheld intraoral ultrasound for assessment of tooth-periodontium complex

Correction of misaligned teeth requires orthodontic braces treatment. Cone-beam computed tomography (CBCT) has been routinely used in orthodontic diagnosis and treatment planning in recent years. Its three-dimensional capability to view images has a significant advantage over traditional 2D X-rays. However, CBCT typically delivers more radiation than conventional dental 2D X-rays. As children and adolescents are […]

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Building the Evaluation Capacity of the Alberta Mentoring Partnership

This Mitacs project will support the Alberta Mentoring Partnership in building evaluation capacity across the province of Alberta for their affiliated organizations. The Mitacs intern will engage AMP decision makers in the development of the project, the creation and delivery of two online evaluation capacity workshops for mentoring organizations, the development and delivery of a […]

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Towards developing inhibitors to treat CoVID-19

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose strategies for the development of novel antiviral agents against a number of known viral targets using in-silico modeling and laboratory testing to rapidly […]

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Impact of oil and gas activities on shallow aquifers in the Fox Creek area

In this project, in order to analyze aerial deposition of contaminants resulting from oil and gas activities in west-central Alberta, samples of snowpack will be collected from the Fox Creek area for chemical analysis. Using the chemical analyses results, a map of the contaminants deposition and their potential sources of release will be delineated. The […]

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AI for delivering product recommendation in retail consumer categories

E-commerce has evolved rapidly in recent decades resulted from globalization and international trade. The demand of online shopping is increasing every day, which has opened business opportunities to attract more costumers locally and globally. However, achieving satisfactory user experience in online shopping remains challenging compared to in-person walk-in shopping. Currently, customers have to input static […]

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Development of a Framework for Risk Assessment for Horizontal Directional Drilling Applications

Horizontal directional drilling (HDD) is a steerable trenchless construction method adapted in the 1970’s from the horizontal oil well drilling technology. HDD has become a very successful worldwide technology for trenchless utility and pipeline installations becoming an annual multi-billion dollar industry across five continents. The HDD process involves considerable risks based on many hazards and […]

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Helping Servus Members Reach Financial Goals via Transfer Learning

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]

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