This project targets development of applied methods and practical solutions to risk management problems where only partial observation of a system is possible. Such settings are commonplace in financial and other context but can be challenging to address due to a limited number of production-grade ready-to-use solutions. The scientific component of the project employs approaches […]

In this research project, we will partner with the Financial Services Regulatory Authority of Ontario (FSRA) to enhance its default prediction model for private companies administering pension plans in Ontario. Our goal is to enhance the current model’s timeliness in predicting default of private companies by addressing the lack of publicly accessible information from these […]

In disaster scenarios involving airborne contaminants, where the dispersal of toxic agents can impact human lives, first responders require fast and accurate dispersal trajectory information. Existing methods that detect the local presence of an agent do not provide insight towards dispersal trajectory, and long range spread is either simulated with sparse reference data or measured […]

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices. However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties […]

The proposed research program aims to better enable the provision of digitally based self-management support programs for Canadians who live with chronic conditions that were further complicated by COVID-19. In order to accomplish this objective, this study will evaluate existing self-management programs for adults with chronic conditions and curate condition specific evidence-based content that will […]

The proposed research project has two aims: 1) to understand the experiences of Canadian Military Veterans with lower extremity pain when participating in aquatic therapy; 2) To determine the effectiveness of aquatic therapy versus land-based therapy on Canadian military veterans with chronic lower-extremity pain. To accomplish these aims, we will conduct a mixed methods study […]

The rate of discovery of new, large mineral deposits has slowed, yet significant opportunity exists in many world-class belts where post-mineral cover obscures bedrock and can potentially hide world-class deposits beyond the reach of traditional geochemical tools. However, locating mineral deposits in areas of thick or transported overburden is challenging. The proposed research integrates trace-element […]

Artificial Intelligence (AI) is transforming our lives in the same way as the advent of the Internet and cellular phones has done. However, it takes thousands of CPUs and GPUs, and many weeks to train the neural networks in AI hardware. Traditional CPUs, GPUs, and brain-inspired electronics will not be powerful enough to train the […]

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, […]

Among all chronic diseases, mental health issues have the highest burden on health care systems. However, unlike other chronic diseases, like Diabetes or hypertension, no monitoring procedures exist to monitor patients’ mental health status to prevent relapse and crisis situations. It is therefore necessary to develop cheap, convenient and accessible monitoring systems that could be […]

This research project will investigate how modern Remotely Piloted Aircraft Systems (also referred to as RPAS, drones, UAVs or UASs) can optimize surveillance missions and target characterization through the integration of Full Motion Video (FMV) cameras. FMV data will be processed and analyzed including the use of Artificial Intelligence (AI) algorithms. The large amount of […]

Lumentum produces high-performance optical devices and test equipment for fiber optics communications systems. One such device is the Wavelength Selective Switch (WSS) that is used to switch optical signals between different optical fibers, depending on the wavelength of the light carrying the signal. Although these devices work very well and Lumentum is a leader in […]