James Ghawaly

Assistant Professor

Contact

jghawaly@lsu.edu
Office 3209B
Patrick F. Taylor Hall

Educational Background

Ph.D. Nuclear Engineering, University of Tennessee, Knoxville, 2020

M.Sc. Computer Engineering, University of Tennessee, Knoxville, 2020

B.Sc. Nuclear Engineering, University of Tennessee, Knoxville, 2017

James Ghawaly

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CSC 2262: Numerical Methods
HNRS 3025/3035: Large Language Model (LLM) Development and Deployment for Real-World Applications

Artificial Intelligence
Cybersecurity
AI Security
Machine Learning
Neural Network Architecture
Neuromorphic Computing
Nuclear roliferation detection

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. arXiv preprint arXiv:2501.04848.
Ghawaly, J., Nicholson, A. D., Schuman, C. D., Swinney, M., Witherspoon, B., Young, A., ... & Prins, N. (2024). OR22-Neuromorphic Rad Detector-PD3Ra (No. ORNL/SPR-2024/3423). Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States).
Peplow, D. E., Archer, D. E., Nicholson, A. D., Prins, N. J., Bandstra, M. S., Jones, A. C., ... & Ghawaly Jr, J. M. (2024). Threat Sources for Creating Synthetic Urban Search Data (No. ORNL/TM-2024/3265). Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States).
Bandstra, M. S., Britt, C., Ghawaly, J., Grimes, T., Haard, T., Heimberg, P., ... & Thoreson, G. (2024). Metrics and Methods for Radiation Detection Algorithm Characterization for Nuclear/Radiological Source Search (No. ORNL/TM-2023/2906). Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States).
Bandstra, M. S., Curtis, J. C., Ghawaly Jr, J. M., Jones, A. C., & Joshi, T. H. (2023). Explaining machine-learning models for gamma-ray detection and identification. Plos one, 18(6), e0286829.
Ghawaly, J., Young, A., Nicholson, A., Witherspoon, B., Prins, N., Swinney, M., ... & Patel, K. (2023, August). Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. In Proceedings of the 2023 International Conference on Neuromorphic Systems (pp. 1-7).
Ghawaly Jr, J. M., Nicholson, A. D., Archer, D. E., Willis, M. J., Garishvili, I., Longmire, B., ... & Cook, M. T. (2022). Characterization of the autoencoder radiation anomaly detection (arad) model. Engineering Applications of Artificial Intelligence, 111, 104761.
Ghawaly, J., Young, A., Archer, D., Prins, N., Witherspoon, B., & Schuman, C. (2022, July). A neuromorphic algorithm for radiation anomaly detection. In Proceedings of the International Conference on Neuromorphic Systems 2022 (pp. 1-6).
Biegalski, S. R., Tsvetkov, P. V., Tao, Y., Sobes, V., Pazdernik, K., Labov, S., ... & Williams, D. F. (2021, July). 2020 ETI Annual Summer School: Data Science and Engineering. In 2021 ASEE Virtual Annual Conference Content Access.
Ghawaly, J. M., Nicholson, A. D., Peplow, D. E., Anderson-Cook, C. M., Myers, K. L., Archer, D. E., ... & Quiter, B. J. (2020). Data for training and testing radiation detection algorithms in an urban environment. Scientific data, 7(1), 1-6.

2025: Source: DOE, Title: DNN's Enabling Capabilities in Technology Consortium, LSU PI: James Ghawaly, $750,000.
2025: Source: DOD, Title: AI-Enabled Memory Block Validator, PI: James Ghawaly, $136,000.
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.