Michael Gundall

German Research Centre for Artificial Intelligence

Papers

5

Total Citations

200

H-Index

4

About

Michael Gundall is a prominent researcher specializing in the intersection of 5G wireless communications and industrial automation, with a particular focus on enabling Industry 4.0 transformations in manufacturing environments. His work addresses one of modern industry's most pressing challenges: replacing rigid, wire-line production systems with flexible, wireless alternatives capable of meeting the stringent demands of next-generation smart factories. Gundall's most influential contributions examine how 5G technology can serve as a foundational enabler for Industry 4.0 use cases, earning him 72 and 62 citations respectively for his architectural frameworks and conceptual analyses in this domain. A particularly notable achievement is his research on integrating 5G with Time-Sensitive Networking (TSN), specifically IEEE 802.1AS time synchronization protocols — work that has garnered 54 citations and addresses critical real-time communication requirements for industrial automation. Beyond connectivity architecture, Gundall has extended his research into edge computing and service mobility, exploring live migration of industrial real-time control services to support dynamic production environments. His consistent focus on bridging telecommunications innovation with practical manufacturing needs has established him as a meaningful voice in the ongoing digitalization of industrial systems, contributing actionable concepts that move smart factory visions closer to operational reality.

Research Focus

Key Achievements

4
H-Index
5
Papers
200
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Introduction of a 5G-Enabled Architecture for the Realization of Industry 4.0 Use Cases
72 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: German Research Centre for Artificial Intelligence

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago