Enhancing Long-Term Care and Assisted Living Research In British Columbia’s Fraser Health: An Integrated Knowledge Translation Approach

This initiative aims to directly apply cutting-edge health research to improve care in long-term and assisted living facilities, bridging the gap between academic insights and practical healthcare delivery. Through a focused two-year project, facilitated by a Mitacs Business Strategy internship, we will embed a specialist intern to translate research findings into actionable improvements within these […]

Read More
Assessing the Impact of Environmental Contaminants on Canadian Killer Whale Health: A Metabolomic and Hormonal Perspective

Persistent organic pollutants (POPs) are harmful chemicals that threaten marine life and ecosystems worldwide, including majestic creatures like killer whales (Orcinus orca). Despite efforts like the Stockholm Convention treaty to control these pollutants, they persist in the environment and continue to harm wildlife. Killer whales, as top predators, face particular risks due to their position […]

Read More
Temporal and Spatial Dynamics of Nearshore Zooplankton Communities in the Strait of Georgia: Implications for Ecosystem Health

Although zooplankton monitoring is crucial for informed conservation, data on nearshore zooplankton ecology, despite its importance for forage fish, is lacking. This study will use ZooScan image analysis to process samples collected by the Pacific Salmon Foundation Citizen Science Oceanography program in Malaspina Strait (2015 – ongoing) and assess the seasonal dynamics of the nearshore […]

Read More
ACT- Action on Climate Team & Saanich Peninsula Environmental Coalition (SPEC) Check-Up Project

The Saanich Peninsula Environmental Coalition (SPEC) and the ACT – Action on Climate Team, SFU are working together to implement a bioregional approach to conservation and sustainability on the Saanich Peninsula on Vancouver Island, BC. SPEC developed a Bioregional Framework in 2021 which outlined a holistic approach to environmental health and management and advocated for […]

Read More
Machine learning methods for automatic diagnosis, severity assessment, prognosis, and disease understanding of COPD

Chronic Obstructive Pulmonary Disease (COPD) is a progressive, debilitating, chronic respiratory disease that affects 600 million people worldwide and is responsible for 3 million deaths worldwide each year. Given the recent advances in artificial intelligence (AI) and the availability of large datasets from both the public and private sectors, our project applies AI to analyze […]

Read More
Adult Third Culture Kids’ (ATCK) Concept of Belonging and Identity Creation: Can Spiritual Self-Leadership be a Solution?

Adult Third Culture Kids (ATCKs) are adults who have been shaped by their mobility and cross-cultural experiences as a result of spending a significant part of their developmental years in a country other than their passport country. Although these experiences have provided ATCKs with valuable characteristics and skillsets, ATCKs struggle with identity creation and a […]

Read More
Design and development of an automated indoor position tagging system and autonomous navigation for a contact-based flying robot using sensor fusion and machine vision

Providing three-dimensional (3D) coordinates and more importantly drone navigation in GPS-denied environments has been always challenging. Limiting factors such as signal reflection from walls (multipath), lack of Global Positioning System (GPS) signals in confined spaces and non-line of sight (NLoS) communication with orbiting satellites, build a barrier to navigate indoor drones. In this work, we […]

Read More
Sensor technologies for cardiac arrest

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) In more than 75% of all Sudden Cardiac Arrests, no one is there to witness the event and call 9-1-1, […]

Read More
Integrating Drone Imagery, advanced AI, and Remote Sensing for Assessing Success Rate of Natural and Artificial Forest Regeneration in Post-Wildfire Landscapes

This research project aims to address the existing knowledge gap regarding the effectiveness of drone-based reforestation compared to natural forest regeneration in post-wildfire areas. This study seeks to provide valuable insights into its benefits, limitations, and potential for large-scale reforestation efforts. The research outcomes will contribute to the scientific understanding of drone-based reforestation, guide reforestation […]

Read More
Effects of Logging Practices on Floods and Droughts in the Sunshine Coast

Recent findings expose the concerning sensitivity of hydrologic and geomorphic function to clearcut logging. Water quality, fish habitat, downstream infrastructure, and human lives are all suffering due to clearcut practices and climate change. This study will explore for the first time the differences between the effect of clearcut logging and more ecosystem friendly logging practices […]

Read More
Model Application for Estimating Total Suspended Solids in Eastern Amazonian Waters

Suspended sediments influence water quality, ecosystem functioning, and navigation in rivers and coastal environments. In the Eastern Amazon, estuarine systems such as the Guamá River and Guajará Bay experience intense variability in suspended sediment concentrations due to the combined effects of river discharge and tidal dynamics. These processes produce changes in water turbidity and optical […]

Read More
L2M – AI scribe tool for mental health professionals

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

Read More