Multi-fidelity approach for the probabilistic assessment of dams

The proposed project seeks to evaluate the stability of concrete hydraulic structures using a progressive method that balances precision and computational expenses. By examining various simplification assumptions and analyzing different loading conditions, while incorporating machine learning techniques to merge data with different levels of accuracy, the project aims to enhance the evaluation of risks associated […]

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siRNA Therapy of Blood Cancer – Preclinical Efficacy & Safety Evaluation

Nucleic acids such as DNA and RNA offer exceptional opportunities to fight against infectious and genetic diseases. To use nucleic acids effectively in a clinical setting, one needs to use effective delivery vehicles that can deliver the nucleic acids into the diseased cells. This project will develop effective delivery systems for this purpose. The delivery […]

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Development of an innovative, portable running analysis “toolbox”

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 […]

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Assessing and improving the performance of quantum annealing processors

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 […]

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Enhancing Lateness Management in Cross-docking

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., […]

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Development of a High Power Picosecond Infrared Laser for Medical Applications

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 […]

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Integrated Far- and Near-Field Human Exposure Modelling for Organic Substances

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 […]

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Integrated Far- and Near-Field Human Exposure Modelling for Organic Substances – Year two

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 […]

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Improving Powder Performance by Development and Optimization of Industrial Lubricants and Mixing Technology for Powder Metallurgy

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 […]

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Improving Powder Performance by Development and Optimization of Industrial Lubricants and Mixing Technology for Powder Metallurgy – Year two

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 […]

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