Smart Greenhouse Initiative

The use of a modern greenhouse is considered an efficient way of maintaining favourable growing conditions to enhance the productivity of agriculture and horticulture. However, the high production cost is associated with the greenhouse operation due to the high energy demand that results in significant greenhouse gas (GHG) emissions and environmental impact. It is important […]

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Evaluating the Environmental, Social and Governance (ESG) Risk Assessment Method in Supporting Decisions for Loan Approval by Financial Institutions

Financial institutions ensure borrowers’ ability to repay the loan before lending them for the pursuing projects. The ESSAFIN Logic 1.0 software tool is available for evaluating loan proposals based on the Environment, Social, and Governance (ESG) criteria. The tool has a potential for improvement to account for the lack of critical practical application and evidence-based […]

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Replacing Legacy Materials of Aquatic Play Structures with Flexible, Durable and Low-Footprint Alternatives

The advancement in flexible high-performance plastics has stimulated worldwide research and development to expand the use of these materials in versatile products. In particular, their flexibility offers more comfort and ease of handling and installation, as compared to alternative hard materials. On the other hand, rising global concerns over plastic pollution, along with known chemical […]

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Analog ASIC Artificial Intelligence at the Edge

Enabling Analog Artificial Intelligence by the systematic generation of Analog Neural Networks from well-known Artificial Intelligence software tools. The circuits and methodologies developed here enable “AI at the Edge” meaning local, low power, analog AI that provides, for example, medical devices that analyse signals to asses the need for intervention; voice recognition devices that do […]

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Certified Defense Framework against Patch Attacks on Images

Adversarial perturbation of all the image pixels is computationally intensive and may not be realized in practice. In contrast, an adversarial patch attack where an adversary can choose to perturb a specific subset of pixels in an image, is more practical in fooling a trained image classifier or hiding a person from an object-detection model. […]

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Discovering novel approaches to robust machine learning and visualization for banking applications

The overall objective of this project is to develop approaches to improve rating robustness that are distributionally robust. We will develop techniques to utilize ensemble learning machine learning models with categorical monotonic constraints. Lastly, we will develop novel data visualization tools for business intelligence tasks that will help decision makers at Scotia Bank.

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Quantifying diaphragm perfusion in humans: A novel application of contrast-enhanced ultrasound

As oxygen demand increases (e.g., exercise), the availability of oxygen decreases (e.g., high altitude) or cardiopulmonary function is impaired (e.g., respiratory disease), our cardiopulmonary system works at a greater percentage of its maximal capacity to supply oxygenated blood to tissues. Currently, there is no reliable way of determining the blood flow to the respiratory muscles. […]

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Towards the Commercialization of Perovskite Solar Cells

The project aims to design and fabricate high-performance perovskite solar cells for commercialization. Suitable fabrication methods will be employed for preparing perovskite solar cell samples in large-scale while characterizing both perovskite films and devices by utilizing a myriad of techniques. The characterization methods will provide better insight and invaluable date of the operation of perovskites […]

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