Md Hasan Shahriar

Virginia Tech, Bangladesh University of Engineering and Technology

Papers

Total Citations

H-Index

About

Md Hasan Shahriar is a researcher at the forefront of securing next-generation networked systems, with key contributions in network timing security and intelligent automation. His most impactful work, "MS-PTP: Protecting Network Timing from Byzantine Attacks" (2023, 5 citations), addresses a critical vulnerability in Precision Time Protocol (PTP)—the backbone of time synchronization for 5G, IoT, and industrial applications. By developing a Byzantine-resilient framework, Shahriar ensures that even under malicious attacks, network timing remains reliable, a fundamental requirement for emerging time-sensitive technologies. Earlier, his work "Design of a gesture controlled robotic gripper arm using neural networks" (2017, 2 citations) demonstrated his versatility, combining image processing and neural networks to create low-cost, intuitive control systems for industrial automation. This project showcased his ability to bridge hardware and AI for practical, real-world solutions. Shahriar’s research trajectory—from gesture-based robotics to securing critical network infrastructure—reflects a deep commitment to solving pressing challenges in connectivity and automation, making his work essential reading for students and engineers working on secure, intelligent systems.