Dalton A. Hahn is a 2019-2023 Self Graduate Fellow pursuing a Ph.D. in computer science at the University of Kansas. He received a B.S. (2018) in computer science from Kansas State University. His current doctoral research focuses on applying Moving Target Defense techniques to computer networks in order to make them more dynamic and to better predict, resist, and recover from cyber attacks. His current interest is to better model and incorporate cybersecurity concerns in cloud orchestration tools as an enabling technology for future Moving Target Defense applications. He has interned at Pacific Northwest National Laboratory and Argonne National Laboratory as a cybersecurity operations intern and cybersecurity research intern respectively.
Mentor: Alexandru Bardas, Assistant Professor, Electrical Engineering and Computer Science