Ahmad Shaaban
Papers
1
Total Citations
4
H-Index
1
About
Ahmad Shaaban is a researcher at the forefront of cyber-physical systems and Industry 4.0, with a primary focus on digital twin technology and its integration with cloud computing. His most cited work, "A Digital Twin Architecture for Automated Guided Vehicles using a Dockerized Private Cloud" (2023), presents a pioneering framework that leverages containerized cloud environments to create real-time virtual replicas of physical assets. This contribution addresses a critical gap in manufacturing—bridging the divide between design intent and actual execution—by enabling precise simulation, monitoring, and control of automated guided vehicles. By demonstrating how digital twins can verify complex cyber-physical behaviors, Shaaban’s research offers a scalable solution for enhancing operational efficiency and reliability in smart factories. With 4 citations and growing recognition, his work is laying the groundwork for more resilient, adaptive industrial systems. Shaaban’s achievements highlight his role in advancing the practical deployment of digital twins, making him a key voice in the evolution of automated manufacturing and the Internet of Things.
Research Focus
Key Achievements
Top Papers
- 1