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 […]

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 […]

Honey bee colony health and productivity is intrinsically linked to the quality of the queen. Unfortunately, queen quality is compromised by stressors such as extreme temperatures and pesticide exposure. When queens are heat- and cold-shocked, the viability of their stored sperm drastically decreases, causing colonies to dwindle, produce less honey, and ultimately fail. Pesticide exposure […]

A notorious phenomenon limiting general-purpose computing today is memory wall. Memory – the hardware used to store the data- is located relatively far from the central processing unit (CPU), so applications spend a lot of time waiting on data to travel from memory to the CPU. New memory hardware, such as the one addressed in […]

Membrane based energy recovery ventilation (ERV) is now a key component of most energy efficient modern buildings. ERVs improve the indoor air quality of buildings through ventilation and reduce the energy cost of ventilation by using building exhaust air to pre-condition fresh building supply air. In cooling conditions heat and humidity are removed from the […]

Poly- and perfluoroalkyl substances (PFASs) are groups of contaminants that have received much attention due to their frequent detection in the environment and potential adverse health effect on humans and animals. PFASs can be removed from water using adsorption processes. Adsorbent produced by pyrolysis of sewage sludge (SBAC) offers a promising sustainable solution for removing […]

Mine waste rock drainage is one of the most challenging and lasting global environmental issues facing the entire mining industry, regulatory agencies and society as a whole. Mine drainage can be alkaline, neutral, moderately or extremely acidic and contains significant levels of sulfate, dissolved iron, and frequently a variety of heavy metals and metalloids. As […]

The speed and extent of the COVID-19 pandemic has challenged our abilities, as forecasters, like never before. Early data on the disease’s epidemiology is limited, records of cases and infections are incomplete, and the dynamics and scientific understanding of the disease are changing daily. Scientists from around the world have been quick to respond by […]

In the field of power electronics, one important goal is to make low power loss and super fast switching speed. In making this goal, GaN transistors are better choices than the conventional Si devices. In this project, we investigate the GaN technology design and details with simulation tools by Crosslight Software and testing data in […]

Cystic fibrosis (CF) is the most common fatal genetic disease affecting Canadian children and young adults, without a cure. Nanoparticles (NPs) have emerged as a promising strategy for delivering genetic treatments for various diseases. However, the development of NPs to treat CF has encountered many obstacles. This is mostly because the human airways, which constantly […]