Dedy Ariansyah

Papers

Total Citations

116

H-Index

About

Dedy Ariansyah is a leading researcher at the intersection of digital engineering, cyber-physical systems, and Industry 4.0, with a particular focus on adaptive digital twins and human-robot collaboration. His most cited work, "A design framework for adaptive digital twins" (2020, 114 citations), addresses a critical gap in the field: how to dynamically connect existing brownfield systems and their data to create "living" digital twins for complex engineering systems. This framework has become a foundational reference for researchers and practitioners seeking to implement adaptive, real-time monitoring and improvement of interconnected systems. Ariansyah also explores the human dimension of smart manufacturing, as seen in his work on "Toward Learning Factory for Industry 4.0: Virtual Reality (VR) for Learning Human–Robot Collaboration" (2023). This research demonstrates his commitment to developing practical, educational tools that prepare the workforce for collaborative, automated environments. His contributions are shaping how industries transition from static models to adaptive, intelligent systems, making him a key voice in the digital transformation of engineering.