CV

Education

Master of Computer Science (MCS), University of Virginia, 2022
B.S. in Computer Science, North Carolina State University, 2019
B.S. in Electrical Engineering, North Carolina State University, 2019
B.S. in Computer Engineering, North Carolina State University, 2019
- Minor in Mathematics
- Graduated Valedictorian and Summa Cum Laude
- University Honors Program, Computer Science Honors Program, Phi Kappa Phi, Eta Kappa Nu (IEEE-HKN)

Work experience

Fall 2019-Present: Research Assistant
- LESS Lab at University of Virginia
- Co-advised by Dr. Sebastian Elbaum and Dr. Kevin Sullivan
Spring 2018-Spring 2019: Research Assistant
- Theory in Practice Lab at North Carolina State University
- Advised by Dr. Blair D. Sullivan
Summer 2016, Summer 2017: Software Development Internship
- Fidelity Investments, Durham, NC
- Java development, unit testing, and performance analysis
November 2015-May 2019: Android Developer
- Bamboo Mobile Health, Raleigh, NC
- Developed and maintained the MS101.me app

Publications

Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems

Coming soon

Semantic Image Fuzzing of AI Perception Systems

Trey Woodlief, Sebastian Elbaum, and Kevin Sullivan. 2022. Semantic Image Fuzzing of AI Perception Systems. In 44th International Conference on Software Engineering (ICSE ’22), May 21–29, 2022, Pittsburgh, PA, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3510003.3510212

Preparing Software Engineers to Develop Robot Systems

Carl Hildebrandt, Meriel von Stein, Trey Woodlief, and Sebastian Elbaum. 2022. Preparing Software Engineers to Develop Robot Systems. In 44th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET ’22), May 21–29, 2022, Pittsburgh, PA, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3510456.3514161

Fuzzing Mobile Robot Environments for Fast Automated Crash Detection

T. Woodlief, S. Elbaum and K. Sullivan, "Fuzzing Mobile Robot Environments for Fast Automated Crash Detection," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 5417-5423, doi: 10.1109/ICRA48506.2021.9561627.

Faster Biclique Mining in Near-Bipartite Graphs

Sullivan, Blair D., Andrew van der Poel, and Trey Woodlief. "Faster Biclique Mining in Near-Bipartite Graphs." International Symposium on Experimental Algorithms. Springer, Cham, 2019.