Chien‐Hung Wu

National Penghu University of Science and Technology

Papers

Total Citations

H-Index

About

Chien-Hung Wu is a rising researcher at the intersection of artificial intelligence, IoT, and applied robotics, with a focus on solving real-world operational challenges in agriculture and competitive sports. His most cited work, "Using Long Short-Term Memory for Building Outdoor Agricultural Machinery" (2020, 8 citations), addresses the critical need for climate-resilient farming. As climate change destabilizes crop yields and urbanization reduces arable land, Wu’s LSTM-based approach enables intelligent outdoor machinery to adapt to unpredictable environmental conditions—a contribution that directly supports food security in emerging economies. In a notably creative application, Wu also developed "Artificial-intelligence robot umpires in sailing races" (2022, 4 citations), where he leverages IoT technology to automate officiating in large-scale regattas. This work tackles the practical constraints of limited budgets and labor in maritime sports, demonstrating how AI can ensure fair play without overwhelming human resources. Though early in his career, Wu’s research is distinguished by its pragmatic, cross-domain vision—applying deep learning and sensor networks to both agricultural sustainability and sports automation. His work signals a promising trajectory in deploying intelligent systems for high-impact, resource-constrained environments.