Publications

Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

Dalton Diez, Peyton Andras, Max Shroyer, James Ghawaly Jr.

38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

• Neuromorphic Computing at the Edge
• Edge Intelligence for Cybersecurity

Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files

Karley Waguespack, Samuel Goodwin, George Hendrick, Samuel Hildebrand, Thomas Landaiche III, Mingyang Li, Joshua McCain, Tyler Saizan, Jacob Tucker, James M. Ghawaly, Golden G. Richard III

Forensic Science International: Digital Investigation

Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness

Catherine Rodriquez, James Ghawaly Jr.

International Conference on Neuromorphic Systems (ICONS ’26)

• Neuromorphic Computing at the Edge

Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search

Kyle McCleary, James Ghawaly

The Fifteenth Language Resources and Evaluation Conference (LREC 2026), pp. 10291–10300

RADAI: A Large-Scale Realistic Dataset for Radiation Detection Algorithm Development

James M. Ghawaly, Daniel E. Archer, Andrew D. Nicholson, Douglas E. Peplow, Nicholas J. Prins, Tenzing H. Y. Joshi, Mark S. Bandstra, Andrew C. Jones, Brian J. Quiter, Abigael C. Nachtsheim

IEEE Transactions on Nuclear Science

• Edge Intelligence for Nuclear Nonproliferation

REx86: A Local Large Language Model for Assisting in x86 Assembly Reverse Engineering

Darrin Lea, James Ghawaly, Golden Richard, Aisha Ali-Gombe, Andrew Case

IEEE Annual Computer Security Applications Conference (ACSAC), pp. 108–122

• Edge Intelligence for Cybersecurity

Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge

James Ghawaly, Andrew Nicholson, Catherine Schuman, Dalton Diez, Aaron Young, Brett Witherspoon

International Joint Conference on Neural Networks (IJCNN), pp. 1–10

• Neuromorphic Computing at the Edge

ForensicLLM: A Local Large Language Model for Digital Forensics

Binaya Sharma, James Ghawaly, Kyle McCleary, Andrew M. Webb, Ibrahim Baggili

DFRWS EU 2025; proceedings published in Forensic Science International: Digital Investigation, 52, 301872

• Edge Intelligence for Cybersecurity

TNM Tumor Classification from Unstructured Breast Cancer Pathology Reports using LoRA Finetuning of Mistral 7B

Kyle McCleary, James Ghawaly, Lucio Miele

AAAI 2024 Spring Symposium on Clinical Foundation Models

Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware

Brandon J. Walton, Mst Eshita Khatun, James M. Ghawaly, Aisha Ali-Gombe

Workshop on AI for Cyber Threat Intelligence (WAITI), colocated with ACSAC 2024

• Edge Intelligence for Cybersecurity