Advanced Building Performance Analysis Tools for Computation Design of Building Envelopes

An early-stage design analysis methodology will be investigated for evaluating preliminary building envelope design alternatives using advanced computation and analysis tools. Design alternatives will be generated based on different envelope materials, structure, insulation types and window-to-wall ratios and evaluated based on selected metrics including energy use, daylighting, life cycle analysis and life cycle costing. A […]

Read More
Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]

Read More
Microfluidic Hydrogel-based Biomolecule Detection Through Novel Advection Transport

Healthcare requires the early and accurate detection of disease indicators, be they small biomolecules or viruses, which is vital for successful treatments, preventative medicine and disease prevention. Improving turnaround times for early and accurate detection will improve patient care, enable the mass screening of large populations during outbreaks and effectively reduce the diagnostic burden. We […]

Read More
Point-of-care breath analyzer for early-stage disease diagnosis

As the third documented emergence of an animal-to-human coronavirus during the past two decades (Severe Acute Respiratory Syndrome in 2002, Middle East Respiratory Syndrome in 2012), the current pandemic and near-certainty of future epidemics demands intensified surveillance and proactive screening. Definitive therapy for novel Coronavirus Disease 2019 (COVID-19) is likely at least half a year […]

Read More
Characterization of insoluble minerals in the conventional potash mines of Saskatchewan: Implications for the origin and paragenesis of the Prairie Evaporite Formation

Potash, a group of potassium bearing minerals, is an essential crop nutrient. The use of potash-based fertilizers increases crop yields while making plants more resistant to extreme climate and disease. It is essential to meeting the food needs of the growing human population. Canada-based Nutrien Ltd. extracts potash from underground mines across Saskatchewan and is […]

Read More
Model-Based Security Compliance-By-Design for Low-Earth Orbit Satellite Operations Segments

Low-earth orbit (LEO) satellite constellations require high levels of security and resilience to provide high quality, reliable and trustworthy global connectivity services to customers. For these systems to develop customer trust and find widespread use, developers must demonstrate compliance to a variety of security standards, policies, and regulations. However, because these systems are very large […]

Read More
Real-time food analysis using deep learning for Diabetes Self -Monitoring

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a users meal to return an […]

Read More
Optimizing Virtual Care Solutions Capabilities to Address Cognitive Impairment

Optimizing an integrated virtual care technology solution to expand capabilities to manage patients with cognitive impairment. These enhancements will improve remote monitoring and management of patients with Alzheimer’s and Dementia. The project will result in the development of additional tools and proprietary applications to enable comprehensive assessments in the areas of stroke and other neurological […]

Read More