Ben-Yi Liau, Ph.D. is currently an Associate Professor in the Department of Automatic Control Engineering at Feng Chia University, Taiwan. In 2008, Dr. Liau obtained his Ph.D. in the Graduate Institute of Electrical and Communications Engineering from Feng Chia University, Taiwan. In 2007, he completed his predoctoral training at the Medical Center of Vanderbilt University, Tennessee, USA. In 1996 and 1998, he earned B.S. and M.S. degrees in Agriculture Machinery Engineering from National Chung Hsing University and National Yang-Ming University, Taiwan. Dr. Liau has two years of practical experience in research and development in the industry. His full-time teaching experience at a university spans 17 years. It is interesting to note that Dr. Liau's research examines the biomedical signal analysis for humans and how environmental factors affect physiological balance. His approach can be used to decrease the risk of cardiovascular disease. In addition to that, he is interested in the application of human-machine interfaces to biomedical devices.

This is the Biomedical Signal and System Analysis Lab, an innovative research and development facility dedicated to advancing healthcare through innovative research and the use of nonlinear analysis technology. The Biomedical Signal and System Analysis Lab is equipped with a wide variety of state-of-the-art equipment and tools, such as 2-axis pressure plate, human activity sensors, and diagnostic ultrasound machines of the highest quality. Our researchers can use these resources to conduct precise experiments and develop practical applications that aim to improve the health outcomes of our subjects.

It is the aim of Biomedical Signal and System Analysis Lab to foster a collaborative environment in which medical experts from various fields gather to push the boundaries of medical technology to the limit. From biosignals and biomechanics to the development of medical technology to the biomedical engineering industry, our facility provides a wide range of facility capabilities, including specialized rooms for specialized equipment and organized storage areas for essential equipment.