Applying Machine Learning Methods to Air Emission Monitoring

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we […]

Read More
Applying Multi-surface Environments to Medical Imaging Techniques

In medicine, imaging-based exams are used to support diagnostics, treatment planning andlor the treatment itself. Considering the number, integration and nature of devices in a multi-surface environment (e.g. smartphones, tablets, multi-touch surfaces and wall displays), this project proposes a system for imaging visualization and manipulation that takes advantages from each device’s capabilities in the environment. […]

Read More
UCalgary Law Innovation Internship with Ackah Business Immigration Law – Innovative Legal Service Delivery in Immigration Law

Ackah Business Immigration Law has partnered with the University of Calgary to engage a UCalgary Law Innovation Intern in research, information gathering, analysis and reporting in a number of aspects of law, immigration and business. The intern will have the opportunity to develop the skills necessary to deliver accurate and timely reports and recommendations that […]

Read More
UCalgary Law Innovation Internship with Simplex Legal – New legal service delivery for a post-COVID legal profession

Simplex Legal has partnered with the University of Calgary to engage a UCalgary Law Innovation Intern to design a technology that is accessible, customer centric and cost effective which brings efficiencies in management while adequately protecting the intellectual property of the company’s clients. Simplex Legal is in the business of changing the way legal services […]

Read More
Semi-Supervised Learning for NLP Text Classification

Insurance companies collect huge volumes of text on a daily basis and through multiple channels, which can be used for lots of different analyses, including identifying “cause of death”. It is difficult to overestimate the importance of an insurance company’s need to understand the facts and circumstances surrounding an insured individual’s death. These facts, including […]

Read More
Multi-sensors Error Modeling and Integration for Future Autonomous Car Navigation

Nowadays, there is a rapid increase in the use of low-cost inertial navigation sensors for commercial and civil applications. Fully autonomous or remotely controlled vehicles requires a reliable and continuous navigation system providing meter level accuracy. The cost, size, and power demand of navigation systems providing this level of accuracy impose a limiting factor to […]

Read More