Global warming is a very concerning mater, which needs serious attention and the development of the technologies to decrease the rate of CO2 concentration increase. In this project, a solvent-based post-combustion CO2 capture process is evaluated through the development of smart models (e.g., ML) and optimization techniques (e.g., PSO). The data for the smart model […]

Quantitative interpretation of magnetic data through inversion for general distributions of magnetic susceptibility has played an increasingly important role in mineral exploration in recent years. The goal of the proposed project is to develop efficient and robust computational simulation tools for the inversion of magnetization at a specified depth using ground/airborne magnetic data. A numerical […]

Salt marshes are important coastal ecosystems that provide many services. Due to their high soil fertility, they have a long history of being converted to farmland. There is now growing interest in restoring salt marshes to protect against coastal erosion, mitigate sea level rise, and provide increased habitat for fish, birds, etc. Ducks Unlimited Canada […]

Circle Neurovascular Imaging (Circle NVI), a wholly owned subsidiary of Circle Cardiovascular Imaging (Circle CVI) and a joint venture with the Calgary Stroke Program, is building a software as a service business aimed at providing physicians with an acute stroke decision aid tool, StrokeSENS™ that will leverage artificial intelligence (AI), advanced image-processing, and network connectivity […]

Biomass residues from forestry operations (sawdust, bark, pulp and paper sludge etc.) have a myriad of potential applications if repurposed, however are often simply disposed of in landfills or stockpiled at sawmills. In this work we will investigate hydrothermal processing of two of the highest volume of residues produced; sludge from pulp and paper processing […]

Suu?aa (Chinook salmon) and mi?aat (sockeye salmon) populations have been in decline due to climate change and other human-caused impacts. However, managing these populations and associated fishing activities is often complicated by a lack of information. This purpose of this project is to gather more information on suu?aa and mi?aat populations in the Ha’uukmin (Kennedy) […]

Over the past years, Internet of Things (IoT) has been gradually making up essential parts of our life whether as autonomous vehicles, smart homes or other forms. The main job of IoT devices is data collection. Data collection can be considered as the building block of IoT. In the current IoT architecture, the data collected […]

The research aims to develop a device technology and software to recover surface information from a handheld scanner. The idea is to combine pre-existing object analysis technologies with a local device capable of reconstructing an objects shape from data collected by simple (shelf component) electronics as the device is passed over the object in the […]

The population is rapidly ageing worldwide. In 2030, 23% of Canadians will be 65 years or older, a demographic shift accompanied by an increase in age-related health problems bringing about social challenges requiring innovative solutions. AI driven technologies are presented as promising avenues both for individualized health monitoring and self-management and to facilitate social participation […]

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts […]

The proposed research project is aimed at developing an automated MR-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies, and has the potential to re-define the world of early drug development, particularly relating to the assessment of neurotoxicity.

Clinicians’ ability to detect abnormal eye-movements has powerful implications for the diagnosis, monitoring of disease progression and evaluation of therapeutic outcomes in patients with multiple sclerosis. Despite the advantages of the oculomotor assessment, standard clinical practices are limited and do not capture the dynamic aspects of eye-movement. Sophisticated methods have been developed in the laboratory […]