Renal cell carcinoma (RCC) is a common and aggressive form of kidney cancer, often diagnosed at advanced stages due to the lack of early symptoms. This project aims to improve RCC diagnosis by identifying metabolic biomarkers through a multiomics approach, integrating metabolomics and transcriptomics data. Using advanced mass spectrometry (LC-MS) and computational tools like CAT […]

After the COVID-19 pandemic, Canada have focused on entrepreneurship to create jobs and stimulate growth across its various regions but is yet to bring many underrepresented groups into this vision. Black Canadians, among others, face unique and significant barriers to entrepreneurship, especially with handling finances. They already suffer many socio-economic disadvantages tied to racism. The […]

This project aims to study physical activity, sedentary behavior, and physical fitness in 600 pregnant women across all three trimesters to better understand their impact on maternal and fetal health. While regular physical activity during pregnancy is known to reduce the risk of complications such as depression, gestational diabetes, and high blood pressure, many women […]

The effective antimicrobial treatment of bone infections / osteomyelitis are often hampered by the secretion of beta-lactamase enzymes that inactivate the beta-lactam ring of otherwise effective penicillins and related antibiotics. To neutralize enzyme activity, beta-lactam antibiotics will often be co-administered with beta-lactamase inhibitors, such as Tazobactam. However, the systemic introduction of beta-lactamase inhibitors may not […]

This project explores the application of the Koopman Operator to system dynamics for the application within model predictive control of hydrogen-enhanced diesel engines. Investigating different implementation options and leveraging data-driven machine learning approaches, the aim is to reduce computational effort while enabling system-theoretic analysis of the dynamic system representation. The topic aligns closely with the […]

Land classification is crucial for environmental monitoring, resource management, and urban planning. This research explores using Kolmogorov-Arnold Networks (KAN), a novel machine learning model, for multispectral land classification. Unlike traditional neural networks, KAN utilizes univariate functions as activation mechanisms, enhancing its ability to capture complex spatial and spectral patterns in satellite imagery. The study focuses […]

Molten salt-based thermal energy storage (TES) systems offer a promising way to store and manage heat efficiently, especially for industries that rely on stable high-temperature processes. However, these systems are still in development, and key challenges—such as heat loss, material durability, and long-term performance—must be addressed to ensure their reliability and cost-effectiveness. While some studies […]

Post and beam safety barriers are common on Canadian highway bridges. The post anchorage refers to the region of bridge deck and curb to which the post is connected. The anchorage must be strong enough to resist crash loads on the barrier, which generate large tension forces within the anchorage. Typical barrier post anchorages have […]

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The Mentorship and Gang Solutions (MAGS) program, supported by the Edmonton Police Service (EPS), aims to reduce youth gang involvement through targeted mentorship. This initiative connects high-risk youth with Lived Life Experienced Mentors (LLEMs) who share their own journeys of experiencing similar challenges. These mentors, equipped with firsthand knowledge and understanding, guide youth toward positive […]

This project focuses on improving membrane bioreactor (MBR) systems to make wastewater treatment more efficient and sustainable. MBRs combine biological treatment with membrane filtration to remove contaminants and produce clean water while recovering energy and valuable resources from wastewater. As global energy use rises and fossil fuels increasingly harm the environment, this research aims to […]

The interest in organic waste treatment has increased a lot in the recent years. Among the treatment technologies, anaerobic digestion (AD) has gained a significant role in municipal solid waste management due to its energy recovery benefits. Digestate is the solid material produced from the biodegradation of organic waste during anaerobic digestion process. Management of […]