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- 22Artificial Intelligence
- 16Deep Learning
- 16Reinforcement Learning
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- 9Computer Vision
- 132Graduate and Postdoctoral Studies (GPS), Faculty of
- 132Graduate 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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- 132Thesis
- 8Report
- 4Article (Published)
- 2Conference/Workshop Poster
- 1Article (Draft / Submitted)
- 1Conference/Workshop Presentation
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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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Spring 2023
Dialogue systems powered by large pre-trained language models exhibit an innate ability to deliver fluent and natural-sounding responses. Despite their impressive performance, these models fail to conduct interesting and consistent exchanges of turns and can often generate factually incorrect...
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Spring 2023
For more than 70 years, chemists have used Nuclear Magnetic Resonance (NMR) spectroscopy to characterize the atomic structure and dynamics of molecules. Key to performing the NMR analysis of almost any molecule is a process called “chemical shift assignment”. This involves matching specific peaks...
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Spring 2023
As we listen to spoken language, the brain performs multiple levels of computation, from understanding individual words to comprehending the arc of a story. Recently, computational models have been developed that also process text on multiple levels. These models, called multi-timescale long...
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Spring 2023
Many competitive online video games release new characters on a regular basis. Designing these characters requires significant effort on several aspects including art, story, music, and game balance. Thus automating the design of these aspects offers value in saving human effort. This thesis...
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Fall 2023
Critical point calculations are a topic of great importance and a fundamental part of classical thermodynamics. While the basis of this field is hundreds of years old, the effective handling of complex, multicomponent fluid mixtures has been an ongoing area of study over the past 50 years. Two...
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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
The evolution of cloud computing in the last decade has offered unprecedented access to sizable, configurable computing resources with minimal management effort. Containerization of applications, particularly through Docker, has been pivotal in this progression. As modern software increasingly...
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Fall 2023
Krishna Guruvayur Sasikumar, Aakash
The application of reinforcement learning (RL) to the optimal control of building systems has gained traction in recent years as it can reduce building energy consumption and improve human comfort, without requiring the knowledge of the building model. However, existing RL solutions for building...
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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
DownloadFall 2023
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...