Seafloor avalanches of sediment, known as turbidity currents, can be exceptionally powerful and travel 100s km into the deep sea. These flows pose a significant hazard to seafloor infrastructure such as telecommunication cables, which carry the internet. Understanding the processes that trigger turbidity currents is therefore essential to predict when and where they occur. Detailed […]

Organophosphorus compounds (organophosphates) cause numerous deaths globally due to pesticide poisoning or due to their alternative use as chemical weapons. Potent organophosphates, such as soman, are highly toxic inducing paralysis, seizures, respiratory failure and death. Exposure to sub-lethal soman doses results in immediate convulsive seizures, leading to decreased blood flow in the brain and the […]

One of the important problems in farming is to decide on variable fertilizer rates based on the inputs about varying soil types and some other factors. This is a key component for optimizing productivity and sustainability in precision agriculture. The main objective of this project is to use datasets captured by satellite imaging to develop […]

An inclusive economy aims to provide all members of society with the opportunity to contribute to and benefit from a community’s economic activities and systems. Calgary Economic Development acknowledges that helping all Calgarians achieve their personal potentials is imperative to leveraging Calgary’s rich diversity to bring innovation and creativity into our industries and businesses. However, […]

Relative Energy Deficiency in Sport (RED-S) is a devastating condition that affects an athlete’s short and long-term health and performance. The objective of this study is to investigate the relationships between bone density, microarchitecture, and strength with RED-S risk factors including inadequate nutrition, amenorrhea and stress fractures in elite endurance athletes. Athletes will be recruited […]

The purpose of this research is to develop a solution that uses Artificial Intelligence and Predictive Analytics to Improving the Efficiency in Customer Interactions and Investment Selection.

Climate change puts new stresses on plants like severe weather conditions or the easier spreading of diseases. Thus, protecting our native and agricultural plants becomes a key challenge for the agriculture and forestry industry. However, present approaches e.g., using strong herbicides are lacking in the sustainable point of view. A more sustainable approach to plant […]

Currently, two common technologies that use thermal energy directly to produce cooling are being used in the industry – absorption chillers and steam ejectors. Both are traditional technologies that suffer from serious limitations. MRT is developing a novel Binary Fluid Ejector that can overcome the limitations of prior art to produce a heat pump that […]

The project aims to collect accessibility data in rural municipalities in six town across Canada. These six municipalities include Salmon Arm and Golden, BC., Sylvan and Banff AB., and Rosetown and Maple Creek, SK. The accessibility data will look at a variety of different features that will deem a public business (hotels, restaurants, public services, […]

What are strategies to activate underutilized space in Downtown Calgary? Using bottom-up activation tactics in combination with research and development and building partnerships with local stakeholders we will focus on developing pilot projects and proof of concepts tailored for downtown Calgary. The aim is to kick start momentum, energy and atmosphere in different urban spaces. […]

This internship research project is aimed at using state-of-the-art machine learning and AI techniques to create profitable trading strategies in the derivatives markets. This research is key to the business operations of the partner organization and gives interns invaluable experience and insights to the business.

This research aims to generate and optimize optimal tool-path(process path of robot) by learning data on kinematics and dynamics properties required for the machining process using multi-axis robots with Artificial Intelligence(AI). Based on the end-effector of the robot, a new approach is proposed to optimize tool path in drilling or milling processes and to develop […]