Studying a person’s running biomechanics has been limited to a laboratory setting due to the complex, expensive equipment needed to capture their motion and forces. Recent developments in wearable technologies may allow these measurements to be captured outside of the lab, which is not only a cost effective alternative, but may allow for the collection […]

Quantum computers are believed to offer significant advantages over classical computers, specifically in solving non-deterministic polynomially hard problems. One of the known schemes of quantum computation is quantum annealing, which is suitable for solving many types of hard optimization problems with a wide range of applications including machine learning, finance, security, and healthcare. D-Wave Systems […]

Today’s marketplace is moving faster than ever, and companies are challenged to distribute their products more quickly, efficiently and cost-effectively. This has led to the rise of cross-docking in the global supply chain to help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials from an incoming vehicle (e.g., […]

This project will focus on furthering the development of a compact picosecond infrared laser (PIRL) system for use in surgical applications. This laser system, which represents a new paradigm for laser surgery, is unique in its ability to provide high-speed cutting of biological tissue without the collateral damage to surrounding tissues inherent in current surgical […]

This project will focus on furthering the development of a compact picosecond infrared laser (PIRL) system for use in surgical applications. This laser system, which represents a new paradigm for laser surgery, is unique in its ability to provide high-speed cutting of biological tissue without the collateral damage to surrounding tissues inherent in current surgical […]

While we enjoy the modern convenience brought by a multitude of man-made organic chemicals, such as surfactants and flame retardants, the exposure to these compounds, some of which are bio-accumulative, persistent and even toxic, may endanger our health. Humans are exposed to chemicals in consumer products during both product use in the indoor environment (near-field […]

Thousands of organic chemicals have been synthesized and commercialized for industrial and consumer uses. However, an increasing number of organic chemicals are revealed to be “hazardous” because of their potential adverse environmental and/or health effects. The project seeks to identify the primary route(s) that humans take up these organic substances, e.g., use of personal care […]

Ideal flow, high-volume Powder Metallurgy (PM) manufacturing can achieve uniform, consistent filling of die cavities, leading to high productivity, low rejection rates, improved part integrity and consistent part dimensions. The type and amount of lubricant, size and shape of lubricant particles, mixing parameters and certain environmental conditions all significantly influence the flow characteristics and apparent […]

Ideal flow, high-volume Powder Metallurgy (PM) manufacturing can achieve uniform, consistent filling of die cavities, leading to high productivity, low rejection rates, improved part integrity and consistent part dimensions. The type and amount of lubricant, size and shape of lubricant particles, mixing parameters and certain environmental conditions all significantly influence the flow characteristics and apparent […]

Cross-laminated timber (CLT) is an engineered wood panel typically consisting of multiple layers of glued timber stacked in a cross-ply layup. Timber shows a strong anisotropic mechanical behavior due to its microstructure. With a cross lamination, the CLT possesses superior dimensional stability, strength and rigidity, in comparison to traditional wood products. In Canada, CLT is […]

Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.