David A. Bowden
Papers
3
Total Citations
74
H-Index
3
About
David A. Bowden is a leading researcher at the intersection of cloud computing, fog computing, and predictive analytics for industrial cyber-physical systems. His work focuses on developing innovative data management and processing architectures that enable real-time insight, anomaly detection, and failure prediction in manufacturing and robotics. Bowden’s most influential contribution is his cloud-to-edge framework, which bridges centralized cloud resources with decentralized edge devices to support predictive analytics in dynamic industrial environments. His 2020 paper on this architecture has garnered 46 citations, underscoring its impact on the field. Additionally, his 2019 work on a fog computing approach for predictive maintenance (17 citations) and his cloud-to-edge architecture for predictive analytics (11 citations) further cement his reputation as a pioneer in proactive industrial monitoring. Bowden’s research empowers industries to adopt proactive strategies, reducing downtime and optimizing production processes. His work is essential reading for students and researchers interested in the future of smart manufacturing, industrial IoT, and resilient cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Fog Computing Approach for Predictive Maintenance17 citations · 2019
- 3A Cloud-to-edge Architecture for Predictive Analytics.11 citations · 2019