Badminton Science and Bioelectronics Lab
Research Field
Jen-Hao Hsu received his Ph.D. from the University of Taipei in 2022. He represented Taiwan in the men's singles badminton event at the 2012 London Olympics and achieved a career-high BWF world ranking of No. 20. Since 2019, he has served as an assistant professor in the Department of Physical Education at National Tsinghua University. His research interests primarily focus on the development of badminton training systems, innovation in sports education, and the analysis of badminton match structures.
Jen-Hao Hsu’s Sports Performance and Badminton Science Lab at National Tsing Hua University focuses on integrating scientific training principles with advanced performance analytics to optimize badminton athlete development. Through experimental design, data-driven player testing, and sport science validation, the lab aims to translate elite experience into evidence-based training systems for future generations. The lab also engages in interdisciplinary collaborations to explore innovation in sports education and commercial applications.
- Experimental design of badminton shot trajectories and tactical analysis
- Athlete performance testing and physiological profiling
- Sport science validation in real-match and training settings
- Technical instruction for elite and developing badminton players
- Commercial model validation for smart training systems and sports education products
- Game structure and data analytics in elite badminton competition
- Represented Taiwan in the men's singles badminton event at the 2012 London Olympics (17th place)
- Achieved a career-high BWF World Ranking of No. 20 in men's singles
- Ph.D. in Physical Education, University of Taipei, Taiwan, 2022
- Assistant Professor, Department of Physical Education, National Tsing Hua University (since 2019)
Job Description
- Assist in the design, development, and testing of wearable and implantable sensing devices.
- Support circuit design, embedded systems development, and hardware prototyping.
- Collect and analyze experimental data and contribute to research documentation.
- Collaborate with the research team on project implementation and technical problem‑solving.
This research will be jointly supervised in collaboration with Prof. Ting-Wei Wang at NTHU.
https://wangtw.wixsite.com/nthu-bioelectronics
Preferred Intern Educational Level
Bachelor’s or Master’s student (or recent graduate) in Biomedical Engineering, Electrical Engineering, Computer Science, Materials Science, or related fields.
https://wangtw.wixsite.com/nthu-bioelectronics
Skill sets or Qualities
- Interest in biomedical devices, wearable systems, or health sensing technologies.
- Basic experience with electronics, embedded programming, or signal processing.
- Problem‑solving mindset and ability to work in a multidisciplinary team.
- Experience with AIoT, edge computing, or data analysis is a plus.
This research will be jointly supervised in collaboration with Prof. Ting-Wei Wang at NTHU.
https://wangtw.wixsite.com/nthu-bioelectronics
Job Description
Assist in the design, development, and testing of wearable and implantable sensing devices.
Support circuit design, embedded systems development, and hardware prototyping.
Collect and analyze experimental data and contribute to research documentation.
Collaborate with the research team on project implementation and technical problem‑solving.
This research will be jointly supervised in collaboration with Prof. Ting-Wei Wang at NTHU.
https://wangtw.wixsite.com/nthu-bioelectronics
Preferred Intern Educational Level
Bachelor’s or Master’s student (or recent graduate) in Biomedical Engineering, Electrical Engineering, Computer Science, Materials Science, or related fields.
https://wangtw.wixsite.com/nthu-bioelectronics
Skill sets or Qualities
Interest in biomedical devices, wearable systems, or health sensing technologies.
Basic experience with electronics, embedded programming, or signal processing.
Problem‑solving mindset and ability to work in a multidisciplinary team.
Experience with AIoT, edge computing, or data analysis is a plus.
This research will be jointly supervised in collaboration with Prof. Ting-Wei Wang at NTHU.
https://wangtw.wixsite.com/nthu-bioelectronics