RUSS 2019
RUSS 2019
Student Presentations at Research Symposium
Listed below are the results of student research that were presented at the 2019 research symposium (RUSSS). Click on any presentation title to learn more about the research effort.Deep Learning to Detect Software Defects Michael D. Naples, William H. Jacobs, Alexander V. Boyle, Deep Desai, And Vincent J. Pedata SCADA Testbed Implementation, Attacks, and Security Solutions Tapan Soni, John A. Stranahan, Jacob E. Carpenter, and Vahid Heydari Visualizing the Concepts of Machine Learning Techniques Through the Game of Tetris Josiah M. Bell Detection of DNA Cytosine Methylation from Nanopore Sequencing using Machine Learning Elijah A. Jordan, Trang A. Vu |
Sorting An Array in Pseudo Linear Time Randolph T. Bushman Anomaly Detection and Zero-Shot Learning with Error-Correcting Output Codes Hieu Nguyen, Scott Zockoll, Shen-shyang Ho, Mohammed S. Khan, Lucas J. Lavalva, And Mathew R. Marchiano
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Automation of Security Information and Event Management Kyle M. Butera, Quinn P. Mchugh, Zachary S. Miles, Dylan A. Chow, Kevin M. Malone, David A. Serrano, Daniel Vega, Jacob R. Dominguez, Rostyslav S. Hnatyshyn, Alex Lam, And Eric A. Currie Developing a Modular Fabrication System Peter Genovese Iv, David M. Coffman, Andrew Bunoza, Leslie C. Maier, Russell L. Binaco, Sherman Hartman, Alexander D. Steel, Delaney M. Sheppard |