Innovative Research Award
Pin-Yung Chen
National Pingtung University of Science and Technology, Taiwan
| Pin-Yung Chen | |
|---|---|
| Affiliation | National Pingtung University of Science and Technology |
| Country | Taiwan |
| Subject Area | Engineering |
| Event | Global Scholar Awards |
| ORCID | 0009-0002-9156-8699 |
Pin-Yung Chen is an engineering researcher whose documented scholarly work encompasses intelligent vehicles, autonomous control, electric-vehicle technologies, motor control, and intelligent transportation systems. Publicly available research records associate Chen with National Pingtung University of Science and Technology and describe research involving intelligent, adaptive, and robust control applications. [1] Recent publications further identify Chen with research on autonomous-vehicle deployment, LiDAR-based navigation, and automated road-marking assessment. [2]
Abstract
Pin-Yung Chen is an engineering researcher associated with National Pingtung University of Science and Technology whose published work spans intelligent vehicles, autonomous control, electric mobility, motor control, and transportation technologies. His research record includes studies of intelligent route guidance, robust control for permanent magnet synchronous motors, plug-in hybrid electric vehicle generator systems, and autonomous-vehicle deployment. More recent work addresses LiDAR and IMU integration, regulatory considerations, and automated road-marking assessment. These publications collectively indicate an interdisciplinary research profile connecting control engineering, vehicle systems, sensing technologies, and intelligent transportation, with applications oriented toward mobility, automation, safety, and engineering innovation. [1] [2]
Keywords
Autonomous vehicles; intelligent transportation systems; autonomous control; robust control; intelligent vehicles; LiDAR; IMU; permanent magnet synchronous motors; electric vehicles; plug-in hybrid electric vehicles; road safety; vehicle sensing; smart mobility; engineering innovation.
Introduction
Pin-Yung Chen has developed a research portfolio situated at the intersection of mechanical engineering, control systems, vehicle technologies, and intelligent transportation. Earlier publications examined route guidance, motor-control strategies, and hybrid-electric powertrain technologies, while later work has addressed autonomous vehicles, sensing, and mobility governance. [1] [3]
Research Profile
Pin-Yung Chen’s research profile combines intelligent vehicle development with control engineering and applied transportation research. Biographical records describe experience in intelligent, adaptive, and robust control, while recent academic affiliations identify Chen with vehicle engineering at National Pingtung University of Science and Technology. This progression connects foundational control methods with contemporary autonomous mobility applications and sensing systems. [1] [4]
Research Contributions
Pin-Yung Chen has contributed to studies involving real-time fleet route guidance, robust current control, self-tuning proportional-integral control, plug-in hybrid vehicle generator systems, and electric-vehicle power conversion. Later contributions extend toward autonomous navigation, operational design domains, road safety, and machine-vision-supported infrastructure assessment, demonstrating continuity between control theory and vehicle-system applications. [2] [3]
Publications
Pin-Yung Chen appears as an author on publications concerning intelligent fleet route guidance, permanent magnet synchronous motor control, plug-in hybrid electric vehicle generator technology, and electric-vehicle power conversion. More recent records include autonomous-vehicle deployment in Taiwan, LiDAR and IMU integration for navigation, and automated road-marking wear assessment using multimodal sensing and semantic segmentation. [1] [2] [3] [5]
Research Impact
Pin-Yung Chen’s documented research has practical relevance to transportation automation, vehicle control, electric mobility, and intelligent infrastructure. The work spans experimental control implementation, vehicle sensing, autonomous-navigation technologies, and policy-oriented analysis of autonomous-vehicle deployment. Such breadth provides a basis for examining engineering innovation across both component-level systems and broader mobility environments. [1] [2]
Award Suitability
Pin-Yung Chen’s documented publication record provides evidence of sustained engagement with engineering problems involving control, intelligent vehicles, electric mobility, sensing, and autonomous transportation. The range of subjects represented in the cited literature can be considered relevant to an award category emphasizing research innovation, particularly where innovation is understood through documented methods, applications, interdisciplinary integration, and published technical contributions. [1] [4]
Conclusion
Pin-Yung Chen’s scholarly record reflects an engineering research trajectory spanning control theory, electric vehicles, intelligent transportation, autonomous systems, and vehicle sensing. Available publications document both foundational engineering investigations and contemporary mobility applications. Taken together, these sources provide a factual basis for describing Chen’s research as interdisciplinary and application-oriented within engineering and intelligent vehicle technologies. [1] [2]
External Links
References
- Chen, P.-Y., et al. (2010). An intelligent on-line route guide system in a fleet. 13th International IEEE Conference on Intelligent Transportation Systems.
https://doi.org/10.1109/ITSC.2010.5625089 - Chen, P.-Y., et al. (2025). Autonomous Vehicle Deployment in Taiwan: A Post-Sandbox Assessment of ODDs, Regulations and Smart Mobility Integration. SSRN. https://doi.org/10.2139/ssrn.5187634
- Chang, S.-H., Chen, P.-Y., Ting, Y.-H., and Hung, S.-W. (2010). Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems. IET Electric Power Applications, 4(6), 441–450. https://doi.org/10.1049/iet-epa.2009.0146
- Chen, P.-Y. (2017). Research biography and technical background in intelligent, adaptive, and robust control applications. Biographical information published in the EVS24 proceedings. Proceedings source
- Chen, P.-Y., et al. (2026). Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation. Sensors, 26(17), 5549. https://doi.org/10.3390/s26175549
