This research project will develop a state-of-the-art web-based Decision Support System (DSS) for operational forecasting and visualization of flood extents (via interactive maps and plots) in watersheds in Ontario and across Canada. The proposed DSS, called ISWMS-Smart, is an extension of the ISWMSTM system, developed by the GREENLAND Group (Industry Partner). ISWMS-Smart will efficiently generate […]

Antimicrobial resistance is a recognized and growing problem in equine medicine. Mesenchymal stromal cells (MSC) have recently been shown to have antimicrobial properties. We are interested in exploring if equine MSCs can reduce bacterial growth in vitro and to understand the cellular mechanisms governing such an effect. This project will provide a baseline for a […]

Canada is a signatory to global conservation agreements to increase the number and coverage of protected areas in the country. Key Biodiversity Areas (KBAs) are a science-based planning tool that can help governments, industry, environmental groups and Indigenous Nations target the right places to protect in terms of habitat for wildlife and to ensure these […]

Many rural regions do not have a sufficient labour force providing the skills that rural businesses need. Many job vacancies go unfilled or are filled by less than ideal candidates. This research looks at strategies to attract and retain the workers that Ontario rural communities need to generate economic development and vitality. By engaging local […]

Acrylamide is a food contaminant that is formed in a variety of food products upon heating. Baked cereal products are one of the most important sources of acrylamide in our daily diet. The formation of acrylamide needs to be tightly controlled, and, if possible, be avoided. This project is focusing on the effect of ingredient […]

Most computer services nowadays are provided in cloud environments. Inevitably, every individual needs to use these environments when they have to use computer services. Considering cyber threats in the cloud infrastructure, security and privacy conservation of one is really challenging. Out of date techniques are no more executable in these infrastructures. However, machine learning algorithms […]

Security has become increasingly important as cyberattacks are more prominent. Despite advances in security technologies there’s still a need for a new security architecture that is simply adaptable and scalable to different and evolving security requirements of various organizations. This project will study the latest technologies and solutions in the field of Cybersecurity that are […]

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

Anomaly network traffic threat detection has been used in many companies to detect threats. Usually, it is deployed on-premises for efficiency and privacy reasons. Anomaly detection system usually consists of a machine learning algorithm that needs tons of time to train and test. Because each company may have different network setup, it is hard to […]

Osteoarthritis is a major cause of disability in dogs. Today, the therapeutic role of mesenchymal stromal cells (MSCs) as a potential treatment for immune and inflammatory disorders is well-defined. We are interested in exploring the immune-modulatory property of canine MSCs with the aim of exploiting it as a potential therapy in dogs with Elbow Dysplasia. […]

Cloud, which is no longer a future trend, has led to a paradigm shift in the design of security services. With so many dynamic features offered by cloud service providers, the assessment of potential threats, cloud vulnerabilities and software security concerns can help in securing cloud customers from inside and outside threat. In this research, […]

The overarching objective of this research project is to design, develop, and test, a reporting automation platform that is able to gather data (in the form of metrics, graphs, tables) from several security software and 3rd party tools, aggregate the data if needed, generate metrics, build reports and upload them to another tool with a […]