Raymond James Ltd. is a leading financial services firm dedicated to helping clients achieve their financial goals through tailored wealth management, investment, and tax advisory solutions. The organization operates in a fast-paced, compliance-driven environment where accuracy, timeliness, and client trust are paramount. As tax regulations evolve and digital transformation continues to reshape the financial landscape, […]

The aim of this project is to study a data-preserving federated learning approach by designing a Riemannian composite optimization model and developing a Riemannian Doulgas-Rachford algorithm for solving the model. In addition to novel contributions to the filed of optimization and machine learning, our proposed model and algorithm are applied in data-preserving healthcare operations where […]

Cone photoreceptors are specialized neurons of the vertebrate retina that absorb light to begin daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two conjoint cells with elliptical cross section. Cones can be distributed in precise repeat patterns such as he hexagonal lattice […]

This international research project brings together scientists and students from Canada and Brazil to study how the immune system becomes disrupted in people with obesity and type 2 diabetes—two major chronic diseases. These conditions are linked to ongoing inflammation in the body, which can lead to serious health problems. A hormone-like molecule called interleukin-10 (IL-10) […]

Gas pipelines play a critical role in delivering natural gas safely to homes and businesses, but failures can lead to serious risks, including gas leaks and service disruptions. This research project aims to develop an advanced AI-powered system for monitoring the condition of gas pipelines. By using machine learning techniques, the system will analyze data […]

Our proposal investigates the electrohydrodynamics of active chiral nematics—complex fluids that combine internal activity, chirality, and orientational order. These materials exhibit rich flow behaviors and defect dynamics when subjected to electric fields, making them promising for future applications in soft robotics, microfluidics, and responsive materials. Through computational modeling and theoretical analysis, we aim to uncover […]

Workplace wellness programs often fail to improve mental health due to minimal uptake and engagement. Digital tools for mental health support are becoming increasingly popular; however, work programs are typically delivered through in-person formats and focus on more severe forms of support (e.g., offering leaves of absence) which often results in low engagement from the […]

Átl’ka7tsem/Howe Sound is located just northwest of Vancouver, British Columbia, Canada. Historically the sound has been significantly impacted by human activities. Now it is experiencing ecological resurgence, and there is increasing interest in both greater understanding the sound and applying marine spatial planning (MSP). MSP allocates human activities in marine areas to achieve multiple objectives. […]

This project tackles the lack of automation in sustainable construction practices, focusing specifically on rammed earth — an ancient technique now hindered by labor intensity and poor ergonomic conditions. Earth House Holdings, a BC-based ecological building firm, aims to introduce automation without compromising the low-carbon ethos of traditional earth construction. To address this, we propose […]

Our overarching goal of this project is to empower children with the knowledge, skills, and critical thinking abilities needed to navigate and thrive in an AI-driven world, while fostering an understanding of ethical, safe, and trustworthy AI practices.

During hip replacement surgery, current x-ray-based methods for guiding implant placement are often affected by differences in patient positioning on the surgical table and movements of the hip joints, leading to inconsistent and unreliable assessments. This research addresses part of these challenges using advanced computer simulations to explore how various factors influence the accuracy of […]

This study explores the use of an AI chatbot to support people with dementia in long-term care (LTC). Dementia affects memory and can cause anxiety, leading people to ask repetitive questions. The chatbot is designed to offer compassionate responses and emotional support. Using a collaborative approach, the study will involve residents, families, and staff in […]