Theses/Project Reports from 2018
Amplifying the Prediction of Team Performance Through Swarm Intelligence and Machine Learning, Erick Michael Harris
Population Curation in Swarms: Predicting Top Performers, Ryan W. Heller
Integrated Computer Science Unit for Early Exposure to a Diverse Population, Di Hoang
CLEAVER: Classification of Everyday Activities via Ensemble Recognizers, Samantha Hsu
Bird Abundance at Bird Feeders in Response to Temperature, Wind Speed and Precipitation During the Winter Season, Siddhant Kahal
N-SLOPE: A One-Class Classification Ensemble for Nuclear Forensics, Justin Kehl
A Comparative Study of Feature Detection Methods for AUV Localization, Andrew Y. Kim
Assessing Risk in IoT Devices, David Levitsky
Improving Ultra-Wideband Localization by Detecting Radio Misclassification, Cory A. Mayer
Acceleration of Jaccard's Index Algorithm for Training to Tag Damage on Post-earthquake Images, Kyle John Mulligan
Funqual: User-Defined, Statically-Checked Call Graph Constraints in C++, Andrew P. Nelson
Using Offline Activities to Enhance Online Cybersecurity Education, Sarah Padlipsky
Modeling Adversarial Insider Vehicles in Mix Zones, Nicholas Plewtong
Mobile Security Education with Android Labs, Siavash Rezaie
Improving Introductory Computer Science Education with DRaCO, Mike Dongyub Ryu
Towards Autonomous Localization of an Underwater Drone, Nathan Sfard
Hardware-in-the-Loop Simulation for Verification of CubeSat Attitude Determination and Control Subsystem, Andrew Richard Sorensen
Compiler Optimization Effects on Register Collisions, Jonathan S. Tan
An Empirical Study of Alias Analysis Techniques, Andrew T. Tran
Object Tracking in Games Using Convolutional Neural Networks, Anirudh Venkatesh
Mastering the Game of Gomoku Without Human Knowledge, Yuan Wang
Topographic Maps: Image Processing and Path-Finding, Calin Washington
Analysis of Verification and Validation Techniques for Educational CubeSat Programs, Noah Weitz
Detecting Speakers in Video Footage, Michael Williams