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- 22Artificial Intelligence
- 19Reinforcement Learning
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- 144Graduate and Postdoctoral Studies (GPS), Faculty of
- 144Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8Computing Science, Department of
- 7Computing Science, Department of/Technical Reports (Computing Science)
- 2Chemical and Materials Engineering, Department of
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- 144Thesis
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- 4Article (Published)
- 2Conference/Workshop Poster
- 1Article (Draft / Submitted)
- 1Conference/Workshop Presentation
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Fall 2023
Of all the capabilities of natural intelligence, one of the most exceptional is the ability to expand upon and refine knowledge of the world through subjective experience. Therefore, a longstanding goal of Artificial Intelligence has been to replicate this success: to enable artificial agents to...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Logic-Oriented Fuzzy Neural Networks: Optimization and Applications of Interpretable Models of Machine Learning
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With the rapid development of machine learning models along with increasingly complex data structures, it becomes difficult to ground the reliability of models’ predictions despite the substantial progress in favor of high approximation properties. The lack of interpretability remains a key...
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Spring 2023
With machine learning models becoming more complicated and more widely applied to solve real-world challenges, there comes the need to explain their reasoning. In parallel with the advancements of deep learning methods, Explainable AI (XAI) algorithms have been proposed to address the issue of...
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Fall 2022
Internal Combustion Engines (ICEs) are ubiquitous; they power a wide range of systems. The broad use of ICEs globally causes more than 20% of the total greenhouse gas emissions. In many countries, emission legislation is transitioning from certification using only traditional chassis dynomometer...
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Fall 2023
Advancements in wireless communication are continuously evolving, and the progression towards the 6th generation (6G) and beyond of cellular architecture will heavily rely on the implementation of machine learning (ML) algorithms in both cellular devices and base stations (BSs), along with the...
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Fall 2023
Pavements in cold regions face challenging environmental conditions, including prolonged periods of extreme cold, frost heave, and freeze-thaw cycles during late winter and early spring. These factors contribute to premature damage, reduced service life, and increased maintenance costs for cold...
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Spring 2024
Despite recent advancements in molecular dynamics (MD) methods, the computational costs of \emph{ab initio} molecular dynamics simulations for explicit solvation systems are still too significant. If accuracy is to be left uncompromised, new methods must be employed to reduce computational...
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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
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Development of fast and accurate emission models for engine-out and tailpipe of internal combustion engines (ICEs) using machine learning (ML) and hybrid methods are the focus of this thesis. The application is on medium and heavy-duty vehicles powered by both fossil fuels and alternative fuels...
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Spring 2021
Microwave planar resonators have been widely used in material characterization, environmental monitoring, proximity sensing, mechanical motion detection, etc. In general, non-contact sensing, real-time measurement, and CMOS compatibility, makes them interesting for chemical sensing, especially...