Papers
7
Total Citations
375
H-Index
6
About
Rajkumar Roy is a prominent researcher whose work sits at the intersection of digital engineering, intelligent systems, and through-life engineering services. He is perhaps best known for his pioneering contributions to **digital twin** technology, with his 2018 paper on integrated models for through-life engineering services accumulating 148 citations, establishing foundational thinking on how digital representations evolve alongside their physical counterparts across a product's lifecycle. His 2020 follow-up proposing a design framework for adaptive digital twins (114 citations) further advanced the field by addressing the practical challenge of connecting existing brownfield systems to these living digital models. Beyond digital twins, Roy has carved out a distinctive research niche in **self-engineering systems** — autonomous systems capable of maintaining their own functionality without traditional human-led maintenance — a body of work with particular relevance to safety-critical and inaccessible environments. His research also extends into **human-robot collaboration**, exploring how augmented reality interfaces can build trust in flexible manufacturing settings. Underpinning much of his career is a sustained interest in **service knowledge capture and reuse**, reflecting his commitment to making engineering knowledge practically actionable across complex industrial systems.
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
- 4An overview of self-engineering systems34 citations · 2021
- 5A Complexity Framework for Self-Engineering Systems12 citations · 2020
- 6Self-engineering – Technological Challenges8 citations · 2020
- 7Service Knowledge Capture and Reuse4 citations · 2014