Jiann-Liang Chen

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Jiann-Liang Chen is a prominent researcher whose work bridges the cutting-edge fields of robotic process automation (RPA) and wireless sensor networks (WSNs). His key contributions center on system design for automation and energy-efficient communication protocols. In a landmark 2019 study, Chen explored the system design and development of RPA, demonstrating how this technology can automate complex, repetitive tasks while reducing error rates—a contribution that has garnered 25 citations and highlights the practical integration of cloud computing with real-time processing. Earlier, Chen tackled the critical challenge of energy conservation in WSNs, proposing an innovative dynamic duty-cycle and schedule assignment scheme. This work, though with 3 citations, addresses the fundamental limitation of sensor node battery life, with applications spanning robotics and smart grid monitoring. Chen’s research is notable for its dual focus: advancing automation efficiency and enhancing the sustainability of networked systems. His achievements reflect a deep commitment to solving real-world problems in both industrial automation and environmental sensing, making his work essential reading for students and researchers interested in the intersection of intelligent systems and energy-aware design.