Cyber Threat Intelligence Integration with MISP Threat Sharing

In the recent technological age, new threats and attacks emerge nearly every day. It might be against everyone on the internet or targeted towards specific organizations and individuals. Attackers have begun to use highly sophisticated techniques and technologies to attain their objectives. It’s a high time, the defenders scale up to defending their infrastructure against […]

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Automated AI-Based Phishing Solution

Phishing emails are a common form of a cyber attack. Attackers use leading content to fraud victims, such as fake banking information, forged Google Alert messages, and so on. Phishing attacks have been around for years, causing countless serious consequences, such as financial losses and confidential documents leaks. As of now, there is still no […]

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Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical […]

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Weather and Climate Information for Snow Recreation

Individuals and organizations use weather information to help inform day-to-day decisions. This project focuses on the use of weather information by winter recreationists in the Province of Ontario. Based on survey data, the project will identify the main sources of weather forecast information, the importance placed on this information, and the influence of specific aspects […]

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Development of quantum dot fluorescent probes/contrast agents

Iron-based nanoparticles can not only be used in sensitizers or absorbers but also retain excellent electrical conductivity, optical, electrical, and magnetic properties. So far, very few synthetic methods are known to implement stable Iron-based nanomaterials. We propose to develop novel synthesis routes to produce QDs. In addition, we plan to develop surface modification processes to […]

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Social demographic data collection and use in Ontario’s CHCs in the context of virtual delivery of social programs

Ontario’s 73 Community Health Centres provide both health and social care services to at risk populations. During the pandemic, Community Health Centres have had to switch much of their care from in-person to virtual services. This has had some positive effects (for example, by reducing rates of missed appointments) and some negative (many clients do […]

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Integrating ethno-cultural equity, diversity, and inclusion in culture planning

The research question at the centre of this project is, “how can culture planning integrate equity, diversity, and inclusion (EDI)?”. The project will focus on ethno-cultural dimensions of EDI in culture planning. The project aims to explore how different ethno-cultural communities are engaged in the culture planning process and how culture planning outcomes impact these […]

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Methods development and applications for neuromelanin-sensitive MRI

Dopamine and noradrenaline are neurotransmitters that are released from neurons located in the substantia nigra and locus coeruleus. Therefore, these brain structures have the unique property of containing high concentrations of neuromelanin, a dark pigment that can be visualized with specialized MRI sequences. The neuromelanin-sensitive MRI signal has been used to visualize degeneration of these […]

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Information-based Public Transport Control Strategy Study Under Pandemic Situation

Health and safety are key concerns during the current public health crisis to individuals who rely on public transit. To lessen the risk of those individuals, the research aims to develop an information-based control strategy using real-time travel information as a meaningful non-pharmaceutical intervention strategy in the public transportation sector. To achieve this goal, the […]

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CONVERGENT CROSS MAPPING FOR DEMAND FORECASTING

The availability of inexspensive electricity in a constant and reliable fashion is critical to economic development and efficient resource consumption. To this end, accurate short term load forecasting (STLF) on an electrical grid enable the minimization of dispatch and running costs on the scale of seconds to a week. Models and approaches employed in STLF […]

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Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment and municipal wastewater treatment plants in Canada are required to achieve specific effluent water quality goals to minimize the impact of human generated wastewater on the surrounding environment. Most wastewater treatment plants include a combination of physical, chemical, and biological unit processes and therefore […]

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