Assist. Prof. Dr. Feng Chieh Lin | Engineering | Research Excellence Award
Research Assisant Professor | National Taipei University of Technology | Taiwan
Assist. Prof. Dr. Feng Chieh Lin is a distinguished scholar whose contributions continue to strengthen global research in engineering with a focus on advanced motor drive systems, power converter control, and intelligent diagnostic technologies. His work integrates engineering principles with practical innovation to address challenges in mechatronics, motor drives, and power electronic applications. Through sustained research leadership, he has advanced engineering methodologies for high performance electric machines, with a particular emphasis on demagnetization diagnosis, deep learning based sampling analysis, and precision converter control. His academic role enables him to merge engineering theory with industrial insight, building collaborations that promote technology transfer and practical implementation. He has contributed to influential research projects that support national and industrial development, demonstrating how engineering solutions can enhance energy efficiency, operational reliability, and sustainable technological growth. His experience in research management and product innovation has further strengthened his ability to guide engineering development across multidisciplinary domains. He continues to publish impactful work that reflects rigorous engineering analysis, forward looking design perspectives, and practical societal relevance. His publications and citations demonstrate consistent global engagement, and his engineering research has supported collaborations between academia, research institutes, and industry partners. His contributions highlight the role of engineering in advancing intelligent control strategies, improving machine performance, and shaping modern power electronic applications. His expertise positioned at the intersection of engineering science and applied innovation reflects a commitment to knowledge creation and societal benefit. He remains dedicated to fostering engineering excellence while contributing to high level academic and industrial research communities through impactful publications and technical leadership. Scopus profile of 355 Citations, 25 Documents, 10 h index.
1. Chen, C.-S., Lin, C.-J., Liu, J.-F., & Lin, F.-C. (2026). IPMSM demagnetization fault diagnosis based on ultra-low sampling frequency data re-indexing restoration method. International Journal of Data Science and Analytics.
2. Chen, C.-S., Wu, Y.-Y., Lin, C.-J., & Lin, F.-C. (2025). Reindexing method for ultralow-sampling-rate data used in the diagnosis of demagnetization faults in IPMSM. IEEE Transactions on Instrumentation and Measurement.
3. Chen, C. S., Lin, C. J., Lin, Y. J., & Lin, F. C. (2025). Application of multi-objective optimization for path planning and scheduling: The edible oil transportation system framework. Applied Sciences.
4. Chen, C. S., Lin, F. C., Lin, C. J., & Wu, P. H. (2024). The improved ROS-based MTAR navigation framework for service robot: Motion trajectory analysis regulator. IEEE Access.
5. Chen, C.-S., Lin, C.-J., Yang, F.-J., & Lin, F.-C. (2024). Model design of inter-turn short circuits in internal permanent magnet synchronous motors and application of wavelet transform for fault diagnosis. Applied Sciences.