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Fall 2023

Afrin, Afia

The increasing complexity of electric power grids, owing to the integration of Distributed Energy Resources (DER), electric vehicles, energy storage systems, and advanced metering infrastructure, has stimulated a surge in research on machine learning-based state estimation and control. In this...

Fall 2021

Salimi, Amir Saeid

This work focuses on the virtual generation of short percussive samples which can be used by electronic music artists in their compositions. Although recent advancements in digital synthesis, heuristic search, and neural networks have been utilized for the generation of a variety of sounds, the...

Fall 2021

Chakravarty, Sucheta

Successful learning is of vital importance to human cognition. Accordingly, researchers have been interested to understand brain-activity signals that support it. However, traditional analysis of brain activity is based on planned comparisons and descriptive methods, which can both overestimate...

Spring 2021

Lu, Zhe

The number of childhood cancer survivors has dramatically increased in the past few decades due to advances in cancer treatment, shifting the priority from clinical treatment to improving long-term survivors’ quality of life. One late effect that greatly impacts female survivors is premature...

Fall 2024

Tan, Zijie

Distribution learning has long been a key area of research in computer vision. However, the potential of combining distribution learning with deep learning remains underexplored. To bridge this gap, this thesis discusses two proposed methods. The first, Differentiable Arithmetic Distribution...

Spring 2023

Kwak, Yeon Kyu

Wire Arc Additive Manufacturing (WAAM) is a manufacturing technology that has the capability to fabricate a large-scale metallic part in a layer-by-layer fashion. It is receiving significant attention from many industries as a viable method of manufacturing as it has a high deposition rate,...

Fall 2023

Saleh, Esraa M M

Learning only by direct interaction with the world can be expensive in many real world applications. In such settings, Model-based Reinforcement Learning (MBRL) methods are a promising avenue towards data-efficiency. By planning with a model, a sequential decision making agent can decrease its...

Spring 2023

Skubleny, Daniel

Five-year overall survival for gastric cancer in Canada is only 25%. Standard of care treatment using neoadjuvant chemotherapy and surgery achieves partial or complete treatment response in only 40% of patients. Additional strategies and methods to discover novel therapies and optimize existing...

Spring 2024

Zerb, Jessica OB

Fire weather indices are used by fire management agencies around the world to estimate potential wildfire danger. This allows for resources to be allocated effectively and to warn communities of potential wildfire hazards. Currently, monitoring and short-term forecasting of fire weather depends...

Spring 2023

Picard, Christopher

Emergency departments (ED) around the globe rely on triage to sort which patients can wait safely for care when the demand for service outstrips the resources available. The triage process is typically performed by experienced emergency nurses and can be the earliest documented assessment for...