There is no one who goes out of his house to seek knowledge, but the angels lower their wings in approval of his action. 

- My Prophet ﷺ 

Welcome to My Webpage!

I'm a PhD candidate in the College of Information Sciences and Technology (IST) at Pennsylvania State University, currently working in the Penn State Cyber Security Lab under Professor Peng Liu. I earned my M.S. in Informatics from Penn State in 2026 and my B.Sc. in Computer Science and Engineering (CSE) from Bangladesh University of Engineering and Technology (BUET) in 2023. After graduation, I served as a full-time Lecturer at United International University (UIU), Bangladesh.

Research Interest:

My research focuses on advancing "cybersecurity and trustworthy AI for cyber-physical systems", with an emphasis on detecting, reasoning about, and mitigating malicious behavior in complex systems.

• Cyber-Physical Systems Security

  • Integrated cyber-physical analysis: Developed a semi-automatic framework that combines novel taint analysis with domain-specific patterns to bridge cyber logs and physical measurements, enabling fault and cyberattack differentiation in DER (distributed energy resources) systems (IEEE TSG).

  • LLM-based multi-agent systems: Developed AgentBN, an LLM-driven multi-agent framework for Bayesian network refinement featuring agent orchestration, structured prompting, deterministic evaluation pipelines, iterative self-correction, and output validation for trustworthy AI. Leveraged probabilistic inference and deterministic validation to evaluate Bayesian network refinements through confidence analysis and candidate selection. (GitHub).

  • Bayesian reasoning for DER security: Developed Bayesian-network reasoning that integrates domain-specific causal knowledge with probabilistic inference to automate cyber-physical root-cause analysis while handling real-world uncertainty (IEEE PESGM'26).

• Prior Research: IoT Network Traffic Analysis

  • Explored security and privacy in Industrial and Smart Home IoT networks, including detecting smart home device activities from encrypted traffic, uncovering dual-purpose MQTT protocol traffic-based adversarial attacks in industrial IoT systems, and conducting a literature review on metaheuristics- and ML-based NIDSs (network intrusion detection systems) in IoT. (IEEE TDSC: GitHub, SWEVO, IoT, ..., CMC: GitHub)