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Electrical Engineering and Computer Science (MS) Theses

Below is a selection of theses from the Master of Science in Electrical Engineering and Computer Science program in Fowler College of Engineering that have been included in Chapman University Digital Commons.

Theses from 2026 2026

A Large Language Model and Retrieval-Augmented Generation System to Assist with Undergraduate Academic Advising, Spencer Au

A Full System Co-Simulation Platform for Evaluating Edge Machine Learning Inference Using Compute-in-Memory, Belsen Lee

Designing Enhanced Nonlinearity in Plasmonic Devices with Epsilon-Near-Zero Films, Kevin Tran Le

Multimodal Learning for Disease Diagnosis and Progression Modeling, Tiffany Tien Le

Theses from 2025 2025

Autonomous Search and Rescue: Real-Time Drone and Robotic Dog Integration, Robert Alexander

Connecting The Montessori Philosophy Through EdTech, Olivia Chilvers

Reducing Stigma Around Neurodiversity Through the Use of Celebratory Technology Ice Breakers in First-Year Undergraduate Classrooms, Briana Craig

An Analysis of Bias Towards Women in Large Language Models Using Likert Scale Evaluations, Sarah T. Fieck

From Seasonality to Causality: Understanding Urban Water Usage Using Statistical and Machine Learning Models, Kelsey Hawkins

Compiling Haskell into Lean: A Common Abstract Syntax for Haskell and Interactive Theorem Provers, Talitha Holcombe

A Narrative-Focused Machine Learning Approach to Predicting Feature Film Success, Arisa T. Trombley

Implementation of Residual Tandem Neural Networks for Photonic Inverse Design, Ponthea A. Zahraii