PM2.5 are organic molecules, less than 2.5 nm in diameter, which pose significant risks to public health, and have been shown to cause lung irritation and cancer, corrode the alveolar wall, and premature mortality, among other issues. Using traditional methods, it is difficult to find the source of these molecules and document them promptly, as […]

The proposed project aims to develop a Quantum Convolutional Neural Network (QCNN)-based approach to detect vulnerabilities in smart contracts, which are critical components of blockchain technology. By leveraging quantum machine learning techniques, the project seeks to enhance the accuracy and efficiency of identifying security threats in smart contracts, such as reentrancy attacks and integer overflows. […]

This study explores the relationship between caregiving skills and characteristics and the engineering profession. The goal is to understand how caregiving experience contributes to the development of skills that are beneficial in engineering organizations. Interviews and surveys will be conducted to: (1) identify caregiving skills relevant to engineering, (2) explore how these skills are applied […]

Xanadu’s mission is to make quantum computing useful, through development of quantum hardware, software, and algorithms. One important direction in achieving this goal is identifying problems that can be solved on quantum hardware that are not tractable on classical computers, and then building quantum algorithms for those problems. We expect that eventually we will have […]

Standard medical imaging techniques used to diagnose and inform treatment of spinal conditions include X-Ray, computed tomography (CT), and magnetic resonance imaging (MRI). These images neglect to capture the in vivo dynamic behavior of the spine during activities of daily living, since patients remain as still as possible to capture clear image. In 2023, 20% […]

Traditional modelling and simulation involves a human expert to manually design and create simulation models. However, these models quickly become obsolete for systems that continually change, such as smart manufacturing systems. This creates a need to create new simulation models which is difficult and expensive. Data-driven simulation extracts simulation models from data without explicit modelling […]

Through this engagement, students will work in the 5G innovation space, looking at creating technology solutions for customers that ultimately impact the larger Canadian Innovation ecosystem. Students will have the opportunity to work on projects in various industries, including transportation, public safety, automotive, manufacturing, and others. Through these projects, the interns will help Rogers customers/partners […]

Supersonic fluidic oscillators are known to provide pressure pulsations which improve the metal superplastic blow forming manufacturing process. The symmetrical nature of a previously developed oscillator design, however, restricts their application to cases where two identical parts are formed simultaneously. Pressure fluctuation amplitudes are not sufficient when used for single part forming. This research aims […]

This project addresses the need for clear baseline data of infections impacting avian populations, and the need for clear, thorough, and detailed reports on infection prevalence, affected avian species, and locations of infection occurrences from wildlife rehabilitation centres. Our goal is to develop clear baseline measures of three major health impacts to avian biodiversity in […]

Predicting Complete IV Curves for Perovskite Solar Cells with AI. Perovskite solar cells are a groundbreaking technology, offering high efficiency and low manufacturing costs, making them a promising candidate for the future of renewable energy. Their tunable properties and rapid development have captured significant interest in both academic and industrial sectors. This project focuses on […]

Perovskite solar cells stand out due to their rapid advancements and high efficiency, combined with the promise of cost-effective production. These attributes have placed them at the forefront of next-generation renewable energy solutions. This project integrates physics-based principles into AI models to reconstruct IV curves, reducing reliance on extensive input parameters. By incorporating optoelectronic governing […]

Laser-driven plume formation is a surprising and so far theoretically unpredicted phenomenon of Newtonian fluids. The group at the Max Planck Institue for the Structure and Dynamics of Matter (MPSD) have observed this behaviour in glycerol, a Newtonian fluid, whereby elastic, rubber-like responses in the material have been produced on timescales many orders of magnitude […]