This project aims to develop intelligent control systems for robotic exoskeletons that can better assist human movement. Using artificial intelligence, specifically deep reinforcement learning, the project will train controllers in advanced computer simulations that model both the human body and the robotic device. Muscle activity signals (EMG) will be incorporated so that the exoskeleton can […]

Challenges in today’s Intensive Care Units (ICUs) involve the management of patients’ life critical physiological systems. ICUs must constantly make fast and personalized treatment decisions (e.g. ventilation settings, fluid management, and vasopressors) that require constant monitoring, patient specific response predictions, and real time decision support. This project explores the use of Cellular Discrete Event System […]

An electroencephalogram (EEG) is a method to measure brain activity. It can be used to detect atypical brain development. Research has shown that EEG can be used as a clinical tool to detect early signs of Autism Spectrum Disorder (ASD) (Bosl et al., 2018). However, measuring EEG in children diagnosed with ASD turns out to […]

General Aviation (GA) contributes billions in GDP, and supports hundreds of thousands of jobs in Canada and the United Kingdom (UK). Sustaining the industry requires experienced pilots flying safely for as long as possible. To preserve pilot engagement in GA, Carleton University’s Advanced Cognitive Engineering Laboratory has developed the CANFLY, a cognitive health screening tool […]

This project aims to make future internet-connected devices secure against quantum computer attacks by developing faster and safer cryptographic software for small embedded systems. We will optimize a newly standardized post-quantum algorithm so that it runs efficiently on widely used ARM Cortex-M7 processors without sacrificing security. The results will help protect critical infrastructure, healthcare systems, […]

Canadians are paying for the climate crisis with the money, with their homes and with their lives. Fortunately, we have many transformatives technologies that can help mitigate this crisis. However, these technolgies are not as widely deployed as needed in part because they use very expensive materials, that are often also critical minerals that are […]

Outdoor air pollution is a human carcinogen. This classification is based largely on a series of studies that has shown it increases respiratory cancers in adults. There is more limited evidence that that suggests it increases the risk of childhood cancer. To date, there have been few Canadian studies on this topic, and none that […]

This project focuses on the combined quantum computational and experimental investigation of molecular transformation routes in antioxidant systems, specifically BHT-quinone, para-benzoquinone, PAN, and PAN2. These compounds are critical intermediates in the degradation of antioxidants commonly used in lubricants, polymers, and other organic systems exposed to oxidative stress. The study integrates quantum-chemical modeling, including density functional […]

This project develops automated pipelines for processing Raman and UV-Vis spectral data collected during studies of molecular degradation. The focus is on improving reproducibility, accuracy, and efficiency in monitoring antioxidants such as BHT and PAN derivatives. The workflows will perform spectral baseline correction, peak fitting, smoothing, and feature extraction, enabling rapid interpretation of large experimental […]

This project explores microwave-assisted thermal treatment as a sustainable method to both degrade organic contaminants and regenerate granular activated carbon (GAC) used in water treatment. The goal is to determine whether high-power microwaves can desorb and break down pollutants from spent GAC while preserving its structure and extending its adsorptive life. A range of micropollutants […]

This project aims to improve how we monitor the condition of lubricating oils used in engines, turbines, and other critical industrial systems. These oils rely on antioxidants to prevent chemical breakdown. When the antioxidants degrade, it can cause equipment damage, costly downtime, and environmental harm. To address this challenge, researchers at Carleton University, in collaboration […]

The proposed research project will develop and validate a novel automated system that can continuously monitor for PTX (collapsed lungs). This system will integrate inexpensive, flexible, thin, and wearable ultrasonic sensors with machine learning. A hands-free and automated approach to assessing for PTX allows clinicians, or even personnel with less specialized training, to detect PTX […]