Research
Research Activities.
Work on AI-centric mobile security, graph-based malware detection, and agentic AI systems — alongside published papers, registered copyrights, and filed patents.
Research interests.
AI-Centric Mobile Security
Android malware detection, adversarial robustness, and data-privacy analysis across mobile application security architectures.
Graph Learning for Security
Graph Convolutional Networks over app call graphs and permission graphs, combined with swarm-based feature optimization.
Agentic AI Systems
Multi-agent orchestration, tool/protocol design (MCP), and self-learning agent loops for production workloads.
Foundation Models & Evaluation
LLM evaluation pipelines, interpretability, and reliability engineering for GenAI systems at enterprise scale.
Applied ML & Data Engineering
Event-driven data pipelines, feature stores, and algorithmic efficiency for high-throughput inference systems.