Theses/Project Reports from 2021
Take the Lead: Toward a Virtual Video Dance Partner, Ty Farris
Connected Vehicle Co-simulation for Autonomous Vehicles in Airsim Using Ns-3, Alexandra Garro
Modeling COVID-19 Spread Using an Agent-Based Network, Stephen Yh Hung
Using Pitch Tipping for Baseball Pitch Prediction, Brian Ishii
A Survey of Computer Graphics Facial Animation Methods: Comparing Traditional Approaches to Machine Learning Methods, Joseph A. Johnson
Brain Tumor Detection and Classification from MRI Images, Anjaneya Teja Sarma Kalvakolanu
Graph Theoretical Modelling of Electrical Distribution Grids, Iris Kohler
DependencyVis: Helping Developers Visualize Software Dependency Information, Nathan Lui
Solving Chromatic Number with Quantum Search and Quantum Counting, David Lutze
Optimizing a Virtual Human Platform for Depression/Suicide Ideation Identification for the American Soldier, Christina M. Monahan
Clustering Web Users by Mouse Movement to Detect Bots and Botnet Attacks, Justin L. Morgan
Analysis of the SLO Bay Microbiome from a Network Perspective, Lien Viet Nguyen
Real-Time Stylized Rendering for Large-Scale 3D Scenes, Jack Pietrok
Exploring Material Representations for Sparse Voxel DAGs, Steven Pineda
Leveraging Intermediate Artifacts to Improve Automated Trace Link Retrieval, Alberto D. Rodriguez
Assessing BEAR: Tool Usability for Wireless CTF, Donald S. Sanchez Jr.
Wi-Fi Sensing: Device-Free In-Zone Object Movement Detection, Nicholas P. Schnorr
A GitHub-Based Voice Assistant for Software Developers and Teams, Siriwan Sereesathien
Investigating Daily Fantasy Baseball: An Approach to Automated Lineup Generation, Ryan Smith
Modeling the Spread of COVID-19 Over Varied Contact Networks, Ryan L. Solorzano
An Analysis of Real-Time Ray Tracing Techniques Using the Vulkan® Explicit API, Elleis C. Souza
An Equity-Minded Assessment of Belonging Among Computing Students at Cal Poly, Kylan Nicole Stewart
SOARNET, Deep Learning Thermal Detection for Free Flight, Jake T. Tallman
COLANDER: Convolving Layer Network Derivation for E-recommendations, Dmitriy Timokhin