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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
Monitoring Vital Signs and Location for COVID-19 detection

COVID-19 has already infected more than 2.8 million people with close to 200 thousand death globally (as at 2020 April 25), while it is continuously spreading. Before a vaccine is discovered, the only way to slow down the spread and reduce the number of death is testing. Nevertheless, there is no guarantee that someone recovered […]

Read More
Deposition modeling, generalized process planning, and Design for Additive Manufacturing for fabrication of large scale and radial components by robotic large-scale additive manufacturing

Additive Manufacturing (AM), also known as 3D printing, uses computer-aided design to build objects layer by layer. AM enables complex designs with reduced component lead time, cost, material waste, energy usage and carbon footprint. Large scale robotic AM (> 1 m cubed) using wire arc welding is an emerging field offering scalability of AM to […]

Read More
Intelligent Card Detection for Automatic Documentation & e-Commerce

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying […]

Read More
Identification of Key Microbes from Spontaneous Beer to Improve Mixed Fermentations

Sour beers, traditionally made via spontaneous fermentation, are growing in popularity; particularly examples produced using the modern technique of mixed fermentation. These mixed fermentation beers present unique challenges during production. We hypothesize that by examining traditional process spontaneously fermented beer, we can identify new methods and strategies for improving the quality of mixed fermentation beers. […]

Read More
Ex-vivo Device for Screening the Efficacy of COVID-19 Vaccines and Producing Antibodies

COVID-19 has significantly impacted the health of the global population. Although timely detection and isolation are important, vaccination is probably more effective in fighting against COVID-19. Our proposed ex-vivo can help the validation of the COVID-19 vaccine and produce antibodies for COVID-19. The benefit to the Canadian community and the industry partner is palpable.

Read More