Anomaly Detection in Event Data

The proposed research project targets anomaly detection of event data. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to […]

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Improving Computation and Evaluation of Isogenies Over Supersingular Elliptic Curves

Cryptography allows to achieve the privacy of conversation between communicating parties by means of encryption. In the core of many cryptosystems lie mathematical problems that are difficult to solve. However, many of these problems, though intractable to attacks carried through electronic computers, are vulnerable to quantum computer attacks. ISARA is a security solutions company that […]

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Next Generation Catalyst Layer Design for PEM Fuel Cells

The performance of non-precious metal catalysts (NPMCs) for proton exchange membrane fuel cell (PEMFC) has now reached a stage at which they can be considered as possible alternatives to expensive Pt, especially for low power applications. However, despite significant efforts on catalyst development in the past, only limited studies have been performed on NPMC-based electrode […]

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An analysis of non-structural flood-management measures in Shanghai, China

This research project will involve analyzing non-structural flood management measures in Shanghai, China – one of the world’s most flood vulnerable cities. The Chinese government has invested heavily into structural barriers to flooding, such as the Three Gorges Dam, but there is no fail-safe in times of extreme flood levels. Despite extensive research, there is […]

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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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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics

Rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning […]

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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics – Year Two

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

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AChT Green Methanol Plant

Advanced Chemical Technologies has developed a unique combination of existing processes to create a new method of making methanol. This proposed method actually consumes the greenhouse gas carbon dioxide, or CO2, meaning it could help reduce the environmental impact of Ontario’s manufacturing. This internship would involve the simulation of this proposed process using advanced chemical […]

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Development and validation of analysis tools and interfaces for automated rehabilitation systems

Automated physiotherapy motion tracking system may improve clinical outcomes by providing subjective measures and continuous monitoring. A study into different metrics that PTs may find useful for diagnosis and a user interface study assessing the current usability of the Automated Rehabilitation System, a system being developed by Cardon rehabilitation, will be conducted. A method to […]

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