Ming‐Hung Shu

Papers

Total Citations

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About

Ming-Hung Shu is a leading researcher in smart manufacturing and wireless sensor networks, with a focus on enhancing industrial automation through precise location-based services. His most-cited work, "An Adaptive Location-Based Tracking Algorithm Using Wireless Sensor Network for Smart Factory Environment" (2021), addresses a critical challenge in Industry 4.0: improving the accuracy of self-propelled robot navigation in smart factories. By developing an adaptive tracking algorithm that leverages wireless sensor networks, Shu’s research reduces operational costs and boosts efficiency in dynamic production environments. Though his citation count is modest, his contributions are foundational to the emerging field of intelligent logistics and autonomous systems. Shu’s work bridges theoretical algorithm design with practical factory-floor applications, offering scalable solutions for real-time asset tracking. His research is particularly valuable for engineers and researchers seeking to optimize industrial IoT systems, demonstrating how adaptive algorithms can transform traditional manufacturing into agile, data-driven ecosystems.