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Wonshik Chee
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Wonshik Chee

Associate Professor

  • Brief Bio

    Dr. Wonshik Chee received a PhD in mechanical engineering from the University of California, Berkeley, where he studied mechatronics by developing autonomously driving cars. He also worked as a postdoctoral researcher at the Partners for Advanced Transits and Highways (PATH) program at UC Berkeley.

    Dr. Chee started his academic career by joining the University of Wisconsin, Milwaukee (UWM) as an assistant professor in the Department of Mechanical Engineering and continued his career at the University of Texas at San Antonio, the University of Texas at Austin and the University of Pennsylvania. At UWM, Dr. Chee started a research partnership that continues to today with Dr. Eun-Ok Im for various technology-based research activities that have achieved four NIH-funded R01 programs since 2003.

    Dr. Chee has published more than 75 peer-reviewed papers in engineering and nursing science. He also has served as a consultant for various NIH- and foundation-funded studies in the U.S. and those in other countries including Taiwan and South Korea.

    Dr. Chee’s technical expertise includes web application development, decision support software development, system identification of biomechanical systems and mechatronic system development. Dr. Chee’s research works and publications with Dr. Im on Internet research methodology are some of the first early works in nursing that used Internet technologies to build nursing knowledge. His publications on Internet research methodology have been widely cited among Internet researchers.

    Academic Program Affiliations

    PhD in Nursing Program

    Education

    PhDUniversity of California, Berkeley
    MSUniversity of California, Berkeley
    MSSeoul National University
    BSSeoul National University

    Research Interests

    • Internet research on gender and ethnic differences in health/illness experience of midlife women
    • Internet research methodology: Web application architecture, Cloud based system integration
    • Decision support computer programs
    • System identification and dynamic system modeling (Biomechanics, Pharmacokinetics)
    • Experimentation design using mechatronic systems (sensors, actuators)
    • Digital signal processing