The site of Research Experiences for Undergraduates – Emerging Issues in Cybersecurity is funded by NSF CISE which offers a ten-week summer research experience to a diverse group of undergraduate students. The site is hosted jointly by the Department of Computer Science and Engineering and the Center of Excellence in Cybersecurity of New Mexico Institute of Mining and Technology (New Mexico Tech). The 2023 program was held from Monday, May 22 to Saturday, July 29.
Students
Carmen Isabel Day (California State University, Channel Island, CA)
Wynter Japp (University of Louisiana at Lafayette, LA)
Kelly R Morgan (Navajo Tech University, NM)
Cynthia Marie Rivera Sánchez (University of Puerto Rico, Rio Piedras, PR)
Adrian Delmar Swindle (Saint Louis University, MO)
Caleb Frank (San Juan College, NM)
Brodie Bachmayer (LeTourneau University, TX)
Derrick McNealy (University of Southern Mississippi, MS)
Stephen Pan (University of Arizona, AZ)
Kayla Hope Weldon (Rowan University, NJ)
Faculty Mentors
Dr. Jun Zheng (CSE)
Dr. Subhasish Mazumdar (CSE)
Dr. Ramyaa (CSE)
Dr. Haoying Wang (BTM)
Dr. Sihua Shao (EE)
Graduate Assistant
Ruobin Qi
Bagged ensemble for semi-supervised electricity theft detection in AMI Poster Presentation
Location-based privacy using Hilbert curves Poster Presentation
Language models and obfuscated code Poster Presentation
Ensuring secure key exchange over bandwidth-limited visible light communication (VLC) channels Poster Presentation
Simulating the impact of cyber attacks on the airline industry Poster Presentation
(*: REU student)
R. Qi, W. Japp*, S. Pan*, J. Zheng, S. Shao, Enhancing the performance of semi-supervised electricity theft detection in smart grids with feature engineering and ensemble learning, in Proceedings of 2024 IEEE Kansas Power & Energy Conference (KPEC), Apr. 25 and 26, 2024, Manhattan, KS.
A. Swindle*, D. McNealy*, G. Krishnan, R. Evaluation of large language models on code obfuscation (Student Abstract), in Proceedings of the AAAI Conference on Artificial Intelligence, v.38, 2024.
The support for this work is provided by the National Science Foundation (CNS-2150145).