Investigation of Data-Driven Koopman Model Predictive Control for Hydrogen-Diesel Engine Applications

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 […]

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Advancing Land Classification with AI: Exploring Kolmogorov-Arnold Networks

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 […]

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Long-Duration Testing of Concrete-Based Molten Salt Thermal Energy Storage Tanks Under Forecasted Electricity Supply Conditions

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 […]

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Intergenerational Transmission of Child Abuse

This project focuses on understanding how child abuse is passed down through multiple generations by analyzing interviews with mothers about their experiences (collected previously) and then assessing maltreatment in subsequent generations. Using a unique and specialized coding system, the research will provide new insights into how abuse is perpetrated and perpetuated. The findings will help […]

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Developing a predictive tool for electrical grid stability

The proposed project focuses on developing a Grid Disruption Prediction Tool that helps grid operators, asset owners, and dispatchers predict and mitigate power outages, brownouts, and blackouts. By analyzing historical and real-time data from Independent System Operators (ISOs) and Regional Transmission Organizations (RTOs) such as AESO, ERCOT, UK National Grid, and the Australian System Operator, […]

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Denture internship

Prime Denture Clinic operates in a modern facility in South Edmonton, staffed by a full-time Denturist and a full-time Dental Technologist. The denture industry is rapidly evolving with the integration of digital technology in fabricating dental prostheses. However, finding staff with adequate training in these emerging technologies has been challenging. Additionally, the demands of a […]

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Towards High Precision Spectroscopy on Antihydrogen

The matter and antimatter asymmetry that is observed within our universe is one of the more prevasive questions remaining in modern physics today. While theoretically appearing in equal amounts, physicists observe a distinct lack of antimatter in our universe, the nature of which is unknown. The Antihydrogen Laser Physics Apparatus (ALPHA) Collaboration is an international […]

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