Departmental honors in computer science
Recent recipients of departmental honors in computer science
| Year | Student | Title of Thesis |
Advisor |
| 2024 | Dzung Dinh |
Volume Estimation via Neural Radiance Field 3D Reconstruction Algorithms |
John MacCormick |
| 2024 | Hailie Mitchell | Adversarial Rendering for Grasp Quality Convolutional Neural Networks | John MacCormick |
| 2023 | None | ||
| 2022 | None | ||
| 2021 | Anthony Vo |
An Analysis of Object Detection Systems for the Automatic Detection and Localization of Basking Rattlesnakes in Images |
John MacCormick and Scott Boback |
| 2021 | Beverley-Claire Okogwu | Chaos Genetic Algorithms vs Genetic Algorithms: Why the Distributions of Mutation Sizes Matter | Grant Braught |
| 2020 | None | ||
| 2019 | Adam Cogen | Empirical Evaluation of Low-Power Wide Area Networks (LPWANs) for Internet of Things (IoT) | Farhan Siddiqui |
| 2019 | Dung Tuan Ngo | Self-Adaptive Chaotic Mutation Operators in Evolutionary Computation | Grant Braught |
| 2018 | Jake Beley | Secure and LIghtweight Communication in Heterogeneous IoT Environments | Farhan Siddiqui |
| 2017 | James Midkiff | Heuristic Approaches to Nonlinear 0-1 Knapsack Problem | Dick Forrester |
| 2017 | Peixin Sun | Construction of Test Problems for the 0-1 Quadratic Knapsack Problem | Dick Forrester |
| 2016 | Hieu Le | Applying Novelty Search to the Construction of Ensemble Systems | Grant Braught |
| 2016 | Wode Ni | Whiteboard Scanning using Super-Resolution | John MacCormick |
| 2016 | My Nguyen Tra | A Case Study on Modeling Social Network Privacy Policies Using Event-B | Tim Wahls |
| 2016 | Graham Williams | Pain Management: Formal Verification of an Android Application Using EventB2SQL | Tim Wahls |
| 2015 | None | ||
| 2014 | Sam Kelly | AST Indexing: A Near-Constant Time Solution to the Get-Descendants-By-Type Problem | Tim Wahls |
| 2013 | None | ||
| 2012 | Katherine Veil | Improving the jmle Tool's Constraint Solving On Sets | Tim Wahls |
| 2011 | Fabio Drucker | Expanding Krakatoa/Why | Tim Wahls |
| 2011 | Russell Toris | Evolving Robotic Desires: A New Approach to Bridging the Reality Gap | Grant Braught |
| 2011 | Danni Yu | Translating B Machines to JML Specifications | Tim Wahls |
| 2010 | James Doyle | PathFinder in CUDA | John MacCormick |
| 2010 | Michael Keating | Executing Formal Specifications via Constraint Programming: Enhancing the jmle Tool | Tim Wahls |
| 2009 | Matt Bachmann | The Effects of Network Structure and Fitness Sharing on the Evolutionary Dynamics of Iterated Prisoner’s Dilemma Strategies | Grant Braught |
| 2009 | Adrian Kostrubiak | Integration of Java Generics Into The jmle Tool Within The Eclipse IDE | Tim Wahls |
| 2009 | Richard Rast | Automated Interpretation of Arithmetic in First-Order Theories | Tim Wahls |
| 2009 | Ke (Harry) Zhou | Improving the Two Color Image Prior Bayesian Demosaicing Algorithm | John MacCormick |
| 2008 | Mark Veronda | Applying a Genetic Algorithm to the Localization Problem using an Extremely Sensing Limited Robot | Grant Braught |
| 2008 | Ryan Zeigler | A New Approach for Evolving Robotic Controllers | Grant Braught |
| 2007 | Scott McHugh | Small World Structures in Evolved Neural Networks | Grant Braught |
| 2006 | Stevan Kominac | Evolving Small-World Neural Networks | Grant Braught |
| 2003 | Ash Dean | The Influence of Learning on Chance, History and Adaptation in Artificial Evolution | Grant Braught |
| 2003 | Adam Labadorf | Dynamic Correlation: the effect of learning on evolution when learning and evolutionary tasks are different | Grant Braught |
| 2003 | Rebecca Wells | Effects of Learning on Coevolution | Grant Braught |