Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

Promoting the use of renewable energy such as biogas produced from organic waste is one of the main alternatives to achieve more sustainable development strategies. Anaerobic Digestion (AD) is an efficient and proven technology, which can be employed to convert Organic Waste to Biogas, and to reduce global methane emissions. The main objective of this […]

Studies related to the gut-lung axis have spiraled in the recent year, especially with current challenges related to COVID-19. The role of an optimal microbiome status for a well-functioning immune system is now emerging as a crucial factor to protect against immune-deregulation and infection in sites distant from the intestine. Therefore, this project aims to […]

The Canadian Bank Note (CBN) is interested in a laser printing solution to create high resolution colour images in the bulk of ID documents. One approach the CBN will investigate in collaboration with the University of Ottawa is to use plasmonic nanoparticles that will generate colours upon laser irradiation. These nanoparticles will be embedded in […]

Aggression toward family/caregivers in childhood and adolescence (AFCCA) is a serious issue that impacts all family members in complex and interrelated ways. Despite its extensive and long-term consequences, there is limited research and even scarcer supports available for young people and their families affected by this form of family violence. Expanding on a pilot project […]

The use of business process modeling (BPM) and analytics has demonstrated exceptional results in improving efficiency and effectiveness in various industries. Health care processes however, are characterized by uncertain, exception and continual evolution. This project aims to apply flexible, adaptive and evolutionary process modeling protocols coupled with operations research and other analytic methods to the […]

Distributed Power Generation (DPG) offers a novel approach to reduce power losses. Micro-turbines (MT) are instrumental in the development of a high efficiency DPG system. The major drawback is the associated wasted heat. Increasing the viability of DPG is directly linked with the development of higher efficiency MTs. MTs equipped with a recuperator preheating the […]

Multiple sclerosis is a lifelong disease that affects the nerves of the body and causes lifelong disabilities including walking disabilities. This project aims to use smart insoles to provide clinicians with information about how patients impacted by multiple sclerosis walk. To do so, we will develop and test algorithms that use walking data from the […]

There are zones of contaminated sediment along the Cornwall waterfront in the St. Lawrence River that were identified in the Cornwall Sediment Strategy (CSS). In addition to the existing contaminated sediments accumulated over time in the river bed, there are contaminated sediments that enter the river from other sources such as wastewater sewer systems. It […]

Unexpected deterioration and failure of concrete infrastructure causes major disruptions and in the most severe cases, results in lives lost. According to the 2019 Canadian Infrastructure Report Card, Canadian public infrastructure is at risk therefore, detecting and addressing deterioration in such structures is crucial. The Damage Rating Index (DRI), a reliable novel quantitative microscopic procedure, […]

High throughput multi-omic cancer studies have described the inter-tumor heterogeneity and led to well defined molecular classifications. Nevertheless, these classifications only reflect the most abundant tumor subtype in the examined sample, thus neglecting intra-tumor heterogeneity, a major source of therapeutic resistance. As advanced microdissection techniques to isolate a cell population of interest from heterogeneous clinical […]

Computer-based multimodal affect recognition methods fuse multiple informational channels, typically video, audio, and text, to resolve the emotional state of a monitored individual. The proposed research aims to develop multimodal deep learning models to recognize anomalous emotional responses, which correspond to a deviation from the expected affective reaction for a particular context. Since multimodal affect […]