HNRS 3025/3035: Large Language Model (LLM) Development and Deployment for Real-World Applications
CSC 7700: Foundational AI
Artificial Intelligence
Cybersecurity
AI Security
Machine Learning
Neural Network Architecture
Neuromorphic Computing
Nuclear Nonproliferation Detection
Lea, D., Ghawaly, J. M., Richard, G. G., III, Ali-Gombe, A. I., & Case, A. (2025,
December). REx86: A local large language model for assisting in x86 assembly reverse
engineering. In Annual Computer Security Applications Conference (ACSAC) (pp. 108-122).
Ghawaly, J., Nicholson, A. D., Schuman, C. D., Diez, D., Young, A. R., & Witherspoon,
B. (2025, June). Exploring spiking neural networks for binary classification in multivariate
time series at the edge. In International Joint Conference on Neural Networks (IJCNN)
(pp. 1-10).
Sharma, B., Ghawaly, J., McCleary, K., Webb, A. M., & Baggili, I. (2025). ForensicLLM:
A local large language model for digital forensics. Forensic Science International:
Digital Investigation, 52, 301872.
Walton, B. J., Khatun, M. E., Ghawaly, J. M., & Ali-Gombe, A. (2025). Exploring large
language models for semantic analysis and categorization of Android malware. In Annual
Computer Security Applications Conference Workshops (ACSAC Workshops).
2025: Robert L. “Doc” Amborski Teaching Award from the LSU Ogden Honors College.
2025: Source: DOE, Title: DNN's Enabling Capabilities in Technology Consortium, LSU
PI: James Ghawaly, $750,000.
2025: Source: Louisiana Board of Regents, Title: Secure Computing for LSU's AI & Security
Laboratory, $128,819
2024: Source: NPS, Title: Enhancing Historic Preservation Through Partnership to Create
Machine Learning Models, Co-I: James Ghawaly, $250,000.
2024: Source: NPS, Title: Enhancing Historic Preservation Through Partnership to Create
Machine Learning Models, Co-I: James Ghawaly, $250,000.
2023: Source: DOE, Title: Compact Radiation Arrays for Tracking and Interdiction,
PI: James Ghawaly, $678,000.
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