Organization profile

Organisation profile

Biomedical Engineering (BME) is applying all disciplines of engineering technologies in biomedical field to develop the medical devices and instrument for clinical applications. The Institute of Biomedical Engineering (Master program) was established in 1988 for graduate study only. In 2011, the undergraduate program was established and the BME institute was renamed as Department of Biomedical Engineering to recruit bachelor degree students to educate multidiscipline biomedical engineer talent from undergraduate level. The research fields include traditional Biomechanics, Medical Electronics, Biomaterials, Bioinformatics and Rehabilitation Technology. With the advance of recent modern technology, the research fields also expand to Regeneration Medicine, Nanomedicine, Digital Medicine and Smart Medicine. Our department is established on the solid foundation of College of Engineering in facilities, faculties, funding and resource and has strong cooperation and assistance from College of Medicine and Teaching Hospital. The goal for the department is to educate students to have the capability as an engineering with strong technique in at least one engineering expertise and common knowledge in clinical and basic biomedicine. Our department also offers the biomedical background students to learn modern engineering technique in assisting them in clinical and basic medical research and device develop into world standard. The International Institute of Medical Device Innovation (MDI), part of Biomedical Engineering (BME) department, was established at National Cheng Kung University in 2017. MDI devotes to cultivate talents to identify the unmet clinical needs and accordingly prepare for value-oriented medical device industry and medicine of future. The objective of the program is to provide students with multidiscipline knowledge and skills in medical device innovation. Students will have the opportunity to cultivate diverse sets of competence, including clinical trials, technology commercialization, entrepreneurship, design skills and regulatory issues. With different resources, students are incubated to improve the business planning skills for their future medical device start-up companies. Through the identification of the unmet clinical needs to accelerate the process of innovative medical device design, the training program will facilitate the derivation of better medical devices that can satisfy the market needs. Moreover, the program learning outcomes help overcome the challenges inherent to clinical needs as well as improve the healthcare environment.

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    Fang, Y. D.


    Project: Research project


    Huang, C.


    Project: Research project

    Research Output

    Application of piezoelectric actuator to simplified haptic feedback system

    Yeh, C. H., Su, F. C., Shan, Y. S., Dosaev, M., Selyutskiy, Y., Goryacheva, I. & Ju, M. S., 2020 Mar 1, In : Sensors and Actuators, A: Physical. 303, 111820.

    Research output: Contribution to journalArticle

  • Big data management in healthcare: Adoption challenges and implications

    Chen, P. T., Lin, C. L. & Wu, W. N., 2020 Jan 1, (Accepted/In press) In : International Journal of Information Management. 102078.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)
  • Equipment

    Laser Scanning Confocal Microscope

    Wen-Tai Chiu (Manager) & 邑筑 黃 (Operator)

    Instrument Development Center

    Facility/equipment: EquipmentInstrument Development Center

  • pressure detection analyzed monitor

    Tai-Hua Yang (Manager)

    Department of Biomedical Engineering

    Facility/equipment: EquipmentClinical Medicine Research Center

  • Verasonics Data Acquisition System, VDAS

    Chih-Chung Huang (Manager) & 培煜 陳 (Operator)

    Instrument Development Center

    Facility/equipment: EquipmentInstrument Development Center

    Student theses

    AC Electrokinetic Manipulation for Separation and in situ Detection of Cancer Cells

    Author: 竣凱, 姜., 2014 Aug 21

    Supervisor: Chang, H. (Supervisor)

    Student thesis: Master's Thesis

    A cloud GPU-based system for image reconstruction of cone beam computed tomography

    Author: 秉錡, 楊., 2018 Aug 16

    Supervisor: Fang, Y. D. (Supervisor)

    Student thesis: Master's Thesis