Prof. Shuo-Tsung Chen | Biophotonics in Diagnostics | Biosensing Breakthrough Award

National Kaohsiung University of Science and Technology | Taiwan

Professor Shuo-Tsung Chen is a dedicated researcher and educator with a strong interdisciplinary background in mathematics, electrical engineering, and biomedical engineering. He holds advanced degrees in mathematics and electrical engineering and has extensive experience in both academic research and teaching. Professor Chen has held various academic and research positions at respected institutions in Taiwan, focusing on areas such as signal and image processing, biomedical engineering, artificial intelligence, Internet of Things (IoT), information hiding, big data analytics, and optimal control system design. His work bridges engineering principles with medical and intelligent technologies, contributing to innovative developments in healthcare systems, smart devices, and data-driven applications. Committed to advancing research at the interface of technology and human health, Professor Chen plays a vital role in driving progress within fields such as biophotonics, biosensing, and intelligent system design.

Profile : Orcid 

Featured Publications

  • “Chang, C.-L., Tsai, Y.-L., Chang, C.-Y., & Chen, S.-T. (2021). Emergency evacuation planning via the point of view on the relationship between crowd density and moving speed. Wireless Personal Communications, 120(1), 419–438.”

  • “Chen, C.-J., Huang, H.-N., Tu, S.-Y., Lin, C.-H., & Chen, S.-T. (2021). Digital audio watermarking using minimum-amplitude scaling on optimized DWT low-frequency coefficients. Multimedia Tools and Applications, 80(2), 2417–2438.”e

  • “Chen, D., Lu, Y., & Hsu, C.-Y. (2022). Measurement invariance investigation for performance of deep learning architectures. IEEE Access, 10, 79839–79850.”

  • “Chen, S.-Y., Lin, S.-J., Tsai, M.-C., Tsai, M.-D., Tang, Y.-J., Chen, S.-T., & Wang, L.-H. (2021). Patient confidential information transmission using the integration of PSO-based biomedical signal steganography and threshold-based compression. Journal of Medical and Biological Engineering, 41(4), 547–555.”

  • “Hsu, C.-Y., Qiao, Y., Wang, C., & Chen, S.-T. (2020). Machine learning modeling for failure detection of elevator doors by three-dimensional video monitoring. IEEE Access, 8, 201708–201719.”

Shuo-Tsung Chen | Biophotonics in Diagnostics | Biosensing Breakthrough Award

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