Electrical Machinery Control and Application (EMCA) Lab
Research Field
Syuan-Yi Chen (Senior Member, IEEE) received his Ph.D. in Electrical Engineering from National Central University, Taiwan, in 2010. Following a tenure as an engineer at ITRI (2010–2013), he joined National Taiwan Normal University (NTNU) in 2014, where he currently serves as a Distinguished Professor and Department Chair. His research focuses on nonlinear and intelligent control, artificial intelligence, robotics, and energy management systems for electric vehicles and microgrids. He has authored 47 SCI-indexed journal papers, 97 conference papers, and holds 20 patents. His significant research impact is reflected in over 2,471 citations and a Google Scholar H-index of 26. In addition to his academic leadership, Prof. Chen serves as an Associate Editor for the International Journal of Fuzzy Systems and has been a reviewer for more than 80 SCI journals.
Prof. Chen also co-founded NeoPower Technologies in 2020, a startup providing advanced green energy and power system solutions. His company NeoPower has won international awards, including the APEC ESCI Gold Award (2024) and an Edison Award (2025) for innovation in smart city energy management.
Prof. Chen directs the Electrical Machinery Control and Application (EMCA) lab at National Taiwan Normal University (NTNU). The lab's primary research focuses on artificial intelligence (AI), robotics, and energy management systems. The lab currently hosts 12 graduate students and 9 undergraduate project students. To date, Professor Chen has successfully led 7 projects funded by the National Science and Technology Council (NSTC), 1 by the Ministry of Education (MOE), 1 by the Ministry of Economic Affairs (MOEA), and 20 industrial-academic collaboration projects. The lab is fully equipped with advanced facilities for power electronics, control systems, AI, and robotics. As of September 2025, we have graduated 33 master’s students, many of whom have pursued successful careers at world-leading companies and research institutes, such as Taiwan Semiconductor Manufacturing Company (TSMC), Wistron Corporation, Realtek Semiconductor, United Microelectronics Corporation (UMC), Texas Instruments (TI), E Ink Holdings, FSP Group, National Chung-Shan Institute of Science and Technology (NCSIST), and Industrial Technology Research Institute (ITRI).
We are looking for passionate and driven graduate and undergraduate students to join our research team. If you are interested in pushing the boundaries of control systems and green energy technology, we welcome you to join us!
Current Research Topics:
- Reinforcement and imitation learning for robotics.
- Energy management and optimization for hybrid electric vehicles (HEVs).
- Power dispatch and energy management for microgrids.
- Development of FPGA-based hardware-in-the-Loop (HIL) control systems.
Prof. Chen has been the recipient of several honors, including:
- Best Paper Award, The 2015 International Conference on Applied System Innovation,
- Best Paper Award, 2017 The 3rd International Conference on Inventions,
- the Wu Ta-You Memorial Research Award from the Ministry of Science and Technology in 2019,
- the NTNU Excellent Teaching Award in 2019,
- the NTNU Distinguished Professor Award in both 2020 and 2023,
- the Youth Automatic Control Engineering Award from the Chinese Automatic Control Society in 2020,
- the Excellent Young Engineer Award from the Chinese Institute of Electrical Engineering in 2020,
- the Outstanding Youth Award from the Taiwan Association of Systems Science and Engineering in 2021,
- Best Paper Award, 2023 International Automatic Control Conference (CACS 2023),
- Best Paper Award, 2023 IEEE International Symposium on Computer, Consumer and Control.
Ph.D. in Electrical Engineering from National Central University, Taiwan (2010)
Job Description
Students are expected to work with fellow researchers at the EMCA Lab under the guidance of a mentor. Interns will regularly participate in laboratory meetings to discuss research progress, exchange ideas, and stay updated on the latest academic trends. Through these collaborative sessions and hands-on projects, students will gain specialized expertise in energy management systems and Hardware-in-the-Loop (HIL) methodologies. The students are expected to produce solid research results and write a comprehensive report before the end of the internship. After the program, those with excellent research potential may receive financial support to pursue their postgraduate studies at NTNU.
Preferred Intern Educational Level
Undergraduate or postgraduate students.
Skill sets or Qualities
- Strong interest in artificial intelligence and its applications in energy and power systems.
- Foundational knowledge of machine learning, power electronics, and hardware-in-the-loop (HIL) systems.
- Proficiency in programming (e.g., C, Python, or VHDL); experience with MATLAB/Simulink and PSIM is highly preferred.