Oghenemarho Orukele

École nationale supérieure d'arts et métiers

Papers

1

Total Citations

2

H-Index

1

About

Oghenemarho Orukele is a rising researcher at the forefront of digital twin technology and data-driven systems engineering. His work centers on developing foundational data structures that enable the creation of high-fidelity digital representations of physical assets, allowing for advanced simulations and real-time optimization of complex systems. His most-cited paper, "A Data Structure for Developing Data-Driven Digital Twins" (2024), has already garnered early recognition with 2 citations, signaling growing interest in his innovative approach to bridging the physical and digital worlds. Orukele’s contributions are particularly significant for industries seeking to revolutionize design, maintenance, and operational efficiency through virtual modeling. By focusing on the architectural backbone of digital twins, he is helping to unlock their potential for predictive analytics and system optimization. As a young scholar, his work promises to shape the next generation of smart infrastructure and cyber-physical systems, making him a name to watch in the field of data-driven engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Data Structure for Developing Data-Driven Digital Twins
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: École nationale supérieure d'arts et métiers

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago