Miguel Sepulcre
Papers
3
Total Citations
48
H-Index
2
About
Miguel Sepulcre is a leading researcher at the intersection of wireless communications and industrial automation, driving innovation for Industry 4.0 and 5.0. His work focuses on enabling the next generation of smart factories through cognitive digital automation and reliable, low-latency connectivity. Sepulcre’s major contributions include the development of the AUTOWARE framework, which lays the groundwork for cognitive digital automation in industrial settings—a foundational paper that has garnered 24 citations for its forward-looking architecture. He has also pioneered neighbor discovery protocols for industrial wireless sensor networks with mobile nodes, a critical challenge for dynamic production environments, earning 22 citations for its practical impact. Most recently, Sepulcre has advanced the field of 5G network slicing, demonstrating how to support the stringent reliability requirements of applications like digital twins, collaborative robotics, and extended reality. His work is instrumental in achieving safer, zero-defect, and customized production. With a career dedicated to bridging cutting-edge wireless technology and industrial needs, Sepulcre’s research is shaping the communication backbone of tomorrow’s factories.
Research Focus
Key Achievements
Top Papers
- 1The AUTOWARE Framework and Requirements for the Cognitive Digital Automation24 citations · 2017
- 2Neighbor discovery for industrial wireless sensor networks with mobile nodes22 citations · 2017
- 35G RAN Slicing to Support Reliability in Industrial Applications2 citations · 2022