This project aims to develop an automated and robust satellite-based pipeline to map hedgerows, which are import for carbon storage, biodiversity and agricultural landscapes. Even though a large amount of satellite data is available, current methods often rely on manual labeling and are sensitive to changes in region or sensors. During this internship, a machine […]

This project will expand on a previous project on heat stress on calf microbiome with the prevalence of climate change. Young calves are particularly vulnerable because their immune and temperature regulation systems are not fully developed, and their gut microbiome—the community of bacteria, archaea, and viruses that support digestion and health—is still forming. In Japan, […]

The success of the COVID-19 vaccines demonstrated how powerful new technologies based on lipid nanoparticles (LNPs) and messenger ribonucleic acid (mRNA) can be for protecting public health. As more RNA-based medicines are being developed, it is increasingly important that these LNPs are stable and easy to distribute, especially to support global accessibility and improve preparedness […]

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 […]

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 […]

This study proposes to address these gaps using 3D Interactive Immersive Experience technology. By leveraging advanced 3D projection and sensor systems, the project will create accessible, engaging, and interactive virtual environments without reliance on headsets. Research will be conducted with older adults living with dementia in both a hospital unit and a Canadian LTC facility, […]

The proposed research project, aided by 2 interns (PhD students) from the University of Toronto and University of British Columbia, aims to evaluate the feasibility, fidelity and acceptability of a specialized tutoring program designed to support the social and emotional development of Indigenous and child welfare-involved youth. This program, offered by TutorBright, combines academic tutoring […]

Cystic fibrosis (CF) is one the most common life-shortening inherited diseases. In the past, patients rarely survived into adulthood; and currently, even with treatment, patients still often require difficult lung transplants. New drugs called protein modulators are a game-changer for CF patients; however, they require twice daily lifelong administration and cannot offset the pre-existing lung […]

This project will develop privacy-preserving human activity recognition algorithms for healthcare, especially senior care and remote patient monitoring. We will develop algorithms in three areas: 1) Video-based high-performance and fast pose estimation algorithms running in the sensor. 2) Advanced stick-figure-based action recognition methods that run in the cloud. 3) Stick-figure-based large vision and language model […]

Tiny particles made of fat are an established system for delivering genetic materials into cells to perform gene therapy. The project is focused on optimizing the fat structure and composition to improve genetic material delivery and target to different parts of the body. We will engineer a library of fat particles made with different combinations […]

This research program aimed at developing a Geometallurgical Testing Method to classify ore for downstream processing involving comminution using a HPGR followed by cyanide heap leaching to recover gold. The program is focussed on Eldorado Gold’s Kisladag mine in Turkey. This research will assess two options for developing the sample preparation comminution procedure including the […]