Theses/Project Reports from 2019
Implementation of a Scale Semi-autonomous Platoon to Test Control Theory Attacks, Erik Miller
Evaluating Creative Choice in K-12 Computer Science Curriculum, Kirsten L. Mork
Predictors of Ransomware from Binary Analysis, Aaron M. Otis
Fifth Aeon – A.I Competition and Balancer, William M. Ritson
DiSH: Democracy in State Houses, Nicholas A. Russo
Cloneless: Code Clone Detection via Program Dependence Graphs with Relaxed Constraints, Thomas J. Simko
Simulating Epidemics and Interventions on High Resolution Social Networks, Christopher E. Siu
Leveraging Defects Life-Cycle for Labeling Defective Classes, Bailey R. Vandehei
Data-Driven Database Education: A Quantitative Study of SQL Learning in an Introductory Database Course, Andrew C. Von Dollen
Theses/Project Reports from 2018
Optimizing the Distributed Hydrology Soil Vegetation Model for Uncertainty Assessment with Serial, Multicore and Distributed Accelerations, Andrew Adriance
Analyzing Global Cyber Attack Correlates Through an Open Database, Brady Benjamin Aiello
Automated Pruning of Greenhouse Indeterminate Tomato Plants, Joey M. Angeja
SoK: A Practical Cost Comparison Among Provable Data Possession Schemes, Alex Michael Bartlett
An Empirical Study of CSS Code Smells in Web Frameworks, Tobias Paul Bleisch
Predicting the Vote Using Legislative Speech, Aditya Budhwar
Showing Programmers That They Already Know How to Write Well, Alanna Buss
Leave the Features: Take the Cannoli, Jonathan Joseph Catanio
Real-Time Object Removal in Augmented Reality, Tyler Dahl
Polycommit: Building Better Habits Through Gamification, Elliot Fiske
Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks, Vivian Lin Fong
Tessellated Voxelization for Global Illumination Using Voxel Cone Tracing, Sam Thomas Freed
Using Gaze Tracking to Tackle Duplicate Questions on Community Based Question Answering Websites: A Case Study of Ifixit, Pankti Gandhi
Strategic Selection of Training Data for Domain-Specific Speech Recognition, Daniel Girerd
Influencing Exploration in Actor-Critic Reinforcement Learning Algorithms, Andrew R. Gough