CPT Leo Kosta Instructor Course Director Electrical Engineering & Computer Science leonard.kosta [at] westpoint.edu About Education Research & Publications CPT Kosta graduated as a Cyber officer from West Point in 2017 with a BS in Computer Science and Russian. As part of the Draper Scholars program, he earned his MS in Computer Science from Boston University in 2019. During his studies he published five papers in machine learning and related disciplines. In 2020, he completed the 17A Cyber Basic Officer Leader Course. His first assignment was as a 17D Cyber Capability Developer in the ARCYBER Technical Warfare Center, where he wrote machine learning applications to support senior leader decision-making. In 2021, CPT Kosta graduated the 17D Cyber Captains Career Course. Following, he returned to the ARCYBER Technical Warfare Center where he applied machine learning to Information Advantage operations related to Russia's invasion of Ukraine. He is qualified as a Senior Developer and is pursuing Master Developer qualification. CPT Kosta returned to West Point in 2023 and now teaches in the Department of Electrical Engineering and Computer Science. M.S. - Boston University B.S. - U.S. Military Academy Research Interests Artificial intelligence, Smart grids Selected Publications Kosta L, Irvine J, Seaman L, Xi H. “Many-target, Many-sensor Ship Tracking and Classification.” IEEE High Performance Extreme Computing Conference (HPEC 19), Waltham, MA. September 2019.Kosta L, Seaman L, Xi H. “Program Synthesis and Vulnerability Injection Using a Grammar VAE.” The International Conference on Compute and Data Analysis (ICCDA 19), Kahului, Hawaii. March 2019.J. A. Harer, L. Y. Kim, R. L. Russell, O. Ozdemir, L. R. Kosta, A. Rangamani, L. H. Hamilton, G. I. Centeno, J. R. Key, P. M. Ellingwood, M. W. McConley, J. M. Opper, P. Chin, and T. Lazovich, “Automated software vulnerability detection with machine learning,” ArXiv e- prints, Feb. 2018.S. Deaton, D. Brownfield, L. Kosta, Z. Zhu, and S. J. Matthews, “Real-time regex matching with apache spark,” in 2017 IEEE High Performance Extreme Computing Conference (HPEC), Sep. 2017, pp. 1–6.Kosta L, Hunter H, George G, Strelzoff A, Matthews SJ. “Measuring I/O Performance of Lustre and the Temporary File System for Tradespace Applications on HPC Systems.” The Association for Computing Machinery Southeast Conference (ACMSE 17), Kennesaw, Georgia. April 2017.