A Prospective Model for Predicting Driver Workload, and Safety Related Distraction, using Heterogeneous Data and Machine Learning

There is an increasing amount of potentially distracting information being made available to drivers. However, applications (e.g., for navigation, work, entertainment, etc.) need to be aware of driver workload so that they don’t create unsafe distraction. This work is important because distracted driving is a major risk factor for road accidents and the threat of […]

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Application of 3D Pose Similarity in Molecular Docking on Ensemble of Crystal-Structures for Accurate Prediction of Activity

This project aims to develop a method for accurately assessing the enzymatic activity of large libraries of compounds. To do this we will employ computational modeling of small molecules in an ensemble of protein crystal structures. The results of this work will lead to a better understanding of the relationship between docked poses and crystal […]

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Development and validation of SafeSleep, a smart, accessible, and convenient textile-based technology for remote monitoring of sleep apnea in high-risk population at home

Sleep apnea, which affects 10% of adults, is a disorder that causes breathing to repeatedly stop during sleep, leading to reduced blood oxygen and fragmented sleep. It increases the risk of HF by four times, of hypertension or stroke by three times, and doubles the risk of car accidents. Health care utilization is doubled in […]

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Integrating Reservoir System Information for Cyclic Solvent Injection Process to Support Post-CHOPS Field Development

Heavy oil (high viscosity oil) is trapped underground. Cold heavy oil production with sand (CHOPS) is an enabling technology to extract heavy oil through wormholes forming around wellbore. There are thousands of CHOPS wells in Saskatchewan and Alberta with low primary oil recovery. Cyclic solvent injection (CSI) enhanced oil recovery process stands out as one […]

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HiSarah: A Voice Assistant for Seniors

Many voice and chat systems have emerged with the advancement of deep learning and big data processing technology like Alexa. However, there is still a large gap in implementing human-like conversation systems and there is a stigma around acceptance of the technology. In this project, we reduce the gap by building a personalized a voice […]

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Re-imagining knowledge mobilization in a carbon-constrained world: A study of academic conferencing in the sustainability sciences

Academic conferences are important forums for researchers, policymakers, and practitioners to exchange knowledge and address real-world challenges. Especially for early career scholars and scientists in parts of the global South, attending conferences is a vital part of their career development. However, going to a conference often involves long-distance air travel, so the benefits of attending […]

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Diagnostic and Monitoring Tool for Amputee Patients Wearing a Prosthesis

In this project, we propose a universal internet of things (IoT) device that connects between the residual limb of an amputee patient and the prosthesis to measure the patient’s comfort levels. This device’s novelty lies in its ability to physically connect to most of the currently available prosthetic devices to provide the user with insightful […]

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Development of Smart Furnitures Using Non-Contact ECG Textile Sensors

In collaboration with Vee Canada Inc and Sona College of Technology and Vee Technologies in India, we propose to create a noncontact Electrocardiography (ECG) monitoring system embedded into different furniture such as a bed and chair for fully sensing and processing human heart activity using textile-based sensors and machine learning modules. The project’s ultimate goal […]

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Influence of Chemical Dyes on Polyethylene Terephthalate Polymerization

This project seeks to examine how impurities affect the polymerization kinetics of recycled polyester monomers. The textile industry used over 50 million tons of polyester fibers made from polyethylene terephthalate (PET) annually.1 Because polyester fibers are slow to degrade, waste textiles have accumulated in landfill and natural environments, causing near-permanent land contamination.2 The ability to […]

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Direct CO2 Capture with Amine-Functionalized Metal–Organic Frameworks (MOFs) – Experimental and Modeling

This project supports a carbon management project involving Advanced CERT Canada active in Energy and Environment. The project aims to remove obstacle to cost effective developments of carbon emission reduction in Canada. This will be through developing strategies and techniques to capture CO2 using Amine-Functionalized MOFs. The MITACS support will be used to hire a […]

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Leav – Système de reconnaissance de gestes par vision d’ordinateur

Leav, une startup spécialisée en solutions de magasinage autonome pour le commerce de détail, cherche à développer un système de vision par ordinateur qui permettra à tout type de détaillant d’automatiser leurs caisses facilement et abordablement. Le projet sera d’une durée de 4 mois et débutera en octobre 2021 avec une date de fin prévue […]

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