Ming-Yen Chien

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Ming-Yen Chien is a researcher whose work bridges robotics, computer vision, and human–robot interaction, with a particular focus on deploying intelligent systems in dynamic, high-stakes environments. His key research areas include real-time face tracking and recognition, autonomous mobile robotics, and assistive technologies for disaster response. One of his most notable contributions is the development of an integrated multipose face tracking and recognition system mounted on an unmanned aerial vehicle, designed specifically for search and rescue operations in complex, disaster-stricken terrains. This work, published in 2015, addresses the critical challenge of identifying victims in chaotic environments by constructing a multipose-specific feature model that enables robust, online face recognition despite varying angles and lighting conditions. While his citation count reflects a focused, emerging impact, the practical significance of his research is underscored by its direct application to life-saving missions. Chien’s work exemplifies how computer vision and robotics can be harnessed for humanitarian purposes, offering a compelling model for students and researchers interested in deploying AI in real-world, unpredictable settings.