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 obtained my bachelor's degree from the Department of Computer Science and Engineering (CSE) at 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 System Security

  • Integrated cyber-physical analysis: Developed a semi-automatic framework (a.k.a., PVOTA) 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 (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 (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. (TDSC: GitHub, SWEVO, IoT, ..., CMC: GitHub)