About

Puwadol Oak Dusadeerungsikul is a researcher whose work sits at the dynamic intersection of cyber-physical systems, agricultural robotics, and smart manufacturing. His most influential contributions center on the development of Collaborative Control Protocols (CCP-CPS) for agricultural and industrial applications, most notably applying robotic and hyperspectral sensing technologies to monitor and detect crop stress in greenhouse environments — work that has garnered over 60 citations since 2018. Dusadeerungsikul has been instrumental in advancing precision agriculture through multi-agent robotic systems capable of real-time adaptation and autonomous routing, reflecting a deep commitment to intelligent automation in food production. Beyond agriculture, his research extends into factories of the future, where he has explored brain-inspired production models, cyber-collaborative warehouse optimization, and human-robot-sensor integration under the Automation 5.0 paradigm. His 2021 work on multi-agent warehouse systems and real-time CPS communication protocols demonstrates a versatile command of complex industrial challenges. With a growing body of work accumulating over 200 cumulative citations, Dusadeerungsikul has established himself as a forward-thinking voice in the design of intelligent, collaborative systems that bridge biological insight with engineering innovation across both agricultural and manufacturing domains.

Research Focus

Key Achievements

7
H-Index
10
Papers
206
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Agricultural cyber physical system collaboration for greenhouse stress management
61 citations · 2018
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Northwestern University, Proteogenomics Research Institute for Systems Medicine, Purdue University West Lafayette, Chulalongkorn University

Top Papers

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    Smart action
    12 citations · 2020
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    Automation Statistics
    2 citations · 2023

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago