Tidal marshes are incredibly important bot ecologically and economically. While they provide many natural resources, they also provide flood protection and water filtration. However, many marshes are recessing into unvegetated mudflats. My project aims to find out if and how much goose herbivory contributes to this problem and compare the effects of Canada Geese and […]

Hospitals, diagnostic laboratories and medical research organizations have witnessed an upsurge in the generation of biohazardous medical waste during the COVID-19 pandemic. This waste is potentially detrimental to the environment and public health and needs to be adequately decontaminated and disposed. Incineration is the most routinely employed technique to treat biohazardous waste but the method […]

For Indigenous communities, emergency management involves adopting community strategies and activities that meet the health and safety requirements of citizens while protecting, sustaining and enhancing the community infrastructure and resources that will be needed in the future. This research project will consider recent developments that resulted from the COVID-19 global pandemic and will explore how […]

Monitoring of wildlife populations is essential for identifying declines or changes, especially in response to habitat changes or disturbance. By comparing historical and modern populations, we can quantify long-term trends. In this study we are comparing historical data from the mid-1980’s to modern to identify trends within a population of Western rattlesnakes (Crotalus oreganus). During […]

Various blood clotting disorders have been associated with COVID-19. The underlying cause of the problem remains unknown. This research project aims to tease out the underlying biological causes and evaluate potential treatments.

Research the existing stock of Environmental Product Declarations and underlying Product Category Rules in selected material categories including wood, steel, and glass. Evaluate the accuracy and comparability of the population, identify top sources of embodied carbon impact variation in the supply chain, and provide estimates of the sensitivity of the embodied carbon impact of those […]

Design data is broadened beyond specifying built-environments to support evidence-based decision-making in the early phases of design. For using data, designers usually rely on specialized data visualizations. There is a need for interfaces specifically tailored for reporting designs with their form and performance data to and for seeking feedback from the other stakeholders who are […]

COVID-19 has changed the way we access services in the community. Many services are now being offered online or over the phone instead of in a building. While this works for some families, families who are new to Canada, do not speak English, and don’t have access to technology may not be able to receive […]

The research analyzes the structures of social networks, the varying uses of social media and information diffusion among social networking sites’ users in Kyrgyzstan as a pilot study and possibly expand in a subsequent project to Central Asia. We will study social media consequences on politics, the rise of populism, democracy, equality, participation, diversity, deliberation, […]

Currently, elite athletes and their coaches rely on the subjective self-awareness and measurement of muscle force, heart rate, and the amount of blood lactic acid level to monitor body fitness and athletic performance. These methods, however, are not ideal and always reliable due to subjective errors, technological limitations and individual confounding factors that limit the […]

With an increasing concern toward social isolation and loneliness issues in society, there is growing interest in social initiatives aiming to enhance social connectedness within communities. To make such efforts sustainable, the next step would be to evaluate their effectiveness to develop evidence-based practices. The goal of this project is to build a reliable assessment […]

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]