Md. Shezad Dihan
Papers
1
Total Citations
148
H-Index
1
About
Md. Shezad Dihan is a rising researcher whose work centers on the transformative potential of Digital Twin (DT) technology, data exploration, and intelligent system architecture. His most influential contribution, the 2024 paper “Digital twin: Data exploration, architecture, implementation and future,” has already garnered 148 citations, underscoring its significance in shaping contemporary understanding of virtual replicas for real-world systems. In this work, Dihan traces the origins of Digital Twins back to NASA’s Apollo Mission, then systematically unpacks their modern architecture, implementation strategies, and future trajectories. His research provides a foundational framework for designing virtual counterparts of physical objects, processes, and services, bridging the gap between theoretical concepts and practical deployment. Beyond this landmark study, Dihan’s broader portfolio explores how data-driven models can enhance system monitoring, predictive maintenance, and operational efficiency across engineering domains. His ability to synthesize historical context with cutting-edge application makes his work essential reading for students and researchers venturing into cyber-physical systems. As Digital Twin technology continues to revolutionize industries from manufacturing to healthcare, Dihan’s contributions position him as a key voice in its evolution and real-world adoption.
Research Focus
Key Achievements
Top Papers
- 1Digital twin: Data exploration, architecture, implementation and future148 citations · 2024