John Ahmet Erkoyuncu
Papers
6
Total Citations
348
H-Index
4
About
John Ahmet Erkoyuncu is a prominent researcher whose work sits at the intersection of digital engineering, advanced manufacturing, and human-robot collaboration. Best known for his pioneering contributions to **digital twin** technology, Erkoyuncu has helped shape how these intelligent, adaptive virtual representations of physical systems are designed, deployed, and leveraged across the full engineering lifecycle. His 2018 paper on digital twins and through-life engineering services has garnered 148 citations, establishing foundational understanding of how integrated multi-domain models add value beyond traditional simulation. His follow-up 2020 framework for adaptive digital twins, cited 114 times, addressed the critical challenge of connecting legacy brownfield systems to dynamic digital environments. Beyond digital twins, Erkoyuncu has made notable strides in augmented reality (AR) applications, exploring how AR interfaces can improve human-robot collaboration trust and assist in calibrating digital twins of mobile robots. More recently, his research has extended into telexistence and remote maintenance technologies, with applications in demanding sectors such as maritime and defense. Collectively, his body of work reflects a coherent vision: bridging physical and virtual worlds to make complex engineering systems smarter, safer, and more maintainable — a contribution of growing relevance in today's Industry 4.0 landscape.
Research Focus
Key Achievements
Top Papers
- 1
- 2A design framework for adaptive digital twins114 citations · 2020
- 3Designing an AR interface to improve trust in Human-Robots collaboration55 citations · 2018
- 4Augmented reality assisted calibration of digital twins of mobile robots27 citations · 2020
- 5Telexistence-Based Remote Maintenance for Marine Engineers2 citations · 2023
- 6