Stefan Schulte

TU Wien, Hamburg University of Technology

Papers

3

Total Citations

32

H-Index

2

About

Stefan Schulte is a leading researcher at the intersection of fog computing, industrial automation, and emerging digital technologies. His primary contributions lie in architecting and enabling fog-based systems for latency-sensitive industrial applications, most notably in robotics. Schulte’s seminal work, “Enabling Fog-based Industrial Robotics Systems” (2020), which has garnered 26 citations, demonstrates how fog computing’s low latency and on-demand resource availability can revolutionize industrial robotics by overcoming the limitations of traditional cloud architectures. This research provides a foundational framework for deploying real-time, responsive robotic systems in smart factories. Beyond fog robotics, Schulte explores the synergy between blockchain and robotic process automation (RPA), as seen in his 2021 publication, investigating how distributed ledger technology can enhance trust, transparency, and auditability in automated business workflows. His work is characterized by a practical, systems-oriented approach that bridges theoretical advances with tangible industrial deployment. Schulte’s research is highly relevant for students and engineers working on the future of Industry 4.0, edge intelligence, and secure automation, offering critical insights into building resilient, low-latency cyber-physical systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
32
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Enabling Fog-based Industrial Robotics Systems
26 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: TU Wien, Hamburg University of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago