A leakage-resistant benchmark of spiking neural network design choices for network intrusion detection.

Find Before You Fine-Tune (first author), Agentra, and Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification.

Autonomous cyber threat intelligence mining with LLMs for IDS rule generation.

The University of Alabama's competitive doctoral fellowship.

Second research internship in San Jose, through November — agentic coding frameworks for data privacy.

An agent-orchestrated framework for enterprise intrusion response.

Multi-source context augmentation for patient-centric medical responses.

Deep learning for threat classification and language-model alignment, at The University of Alabama.

Continued the Ph.D. with Dr. Sudip Mittal after transferring from Mississippi State.

Semantic-Aware Contrastive Fine-Tuning and TwinExplainer.

For LocalIntel, on generating organizational threat intelligence from global and local cyber knowledge.

An intrusion-response knowledge-graph ontology, and clinical summarisation from patient-doctor conversations.

Organised workshops, tutorials and competitions, with industry outreach.