My research explores the design of trustworthy agentic AI systems capable of autonomously managing complex digital infrastructure while maintaining transparency, accountability, and governance. I investigate architectures combining agent-based intelligence, blockchain monitoring, and digital twins to enable secure and explainable AI-driven decision-making — particularly in critical domains such as smart cities, healthcare, and renewable energy infrastructure.

A central concern of my work is the alignment problem in deployed agentic systems: how can we build autonomous pipelines that remain safe and governable when exposed to adversarial inputs, distributional shift, or misaligned incentives? I approach this through the intersection of safety engineering, formal governance frameworks, and empirical failure-mode analysis.