Neural Computing and Brain Computer Interface Laboratory
Research Field
Dr. Sheng-Fu Liang received his Ph.D. in Electrical and Control Engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2000. He is currently a Professor in the Department of Computer Science and Information Engineering at National Cheng Kung University (NCKU), Taiwan. He also serves as the Director of both the Institute of Manufacturing Information and Systems and the Digital Biomedical Research Center at NCKU.
Dr. Liang previously held the position of Director of the Institute of Medical Informatics (IMI) at NCKU from 2018 to 2021, and served as Director of the AI Biomedical Research Center under the National Science and Technology Council, Taiwan, from 2020 to 2022. He was a Specially Appointed Professor in the Research Institute for Electronic Science, Hokkaido University in 2022.
The Neural Computing and Brain–Computer Interface (NCBCI) Laboratory is dedicated to developing innovative technologies that enhance human well-being and societal welfare through the integration of physiological, behavioral, and psychological systems.
Neurocognitive Brain–Computer Interface Development:
We focus on integrating multimodal physiological sensing with advanced computational algorithms to design practical, user-centered brain–computer interface (BCI) systems for real-world and everyday applications.
Intelligent Technologies and Applications:
Our research advances intelligent signal processing and machine learning technologies for analyzing multimedia data, biomedical signals, and neurocognitive states, enabling accurate assessments and adaptive human–machine interactions.
Physiological Signal Sensing Systems and Applications:
By combining embedded systems with intelligent analytics, we develop portable physiological monitoring devices, remote consultation platforms, and home-based healthcare solutions to support continuous and accessible health management.
Biomedical and Digital Image Processing:
We advance biomedical imaging and digital image processing techniques, inspired by human visual perception, to enhance image quality and improve the effectiveness of diagnostic and therapeutic applications.
Neural Modulation Technologies
Sleep Science and Technology
Brain–Computer Interface Systems
Home-Based Physiological Monitoring Devices
Dr. Liang’s research interests encompass biomedical instrumentation and measurement, neural engineering, brain-computer interfaces, medical informatics, and computational intelligence. He is the co-author of a distinguished technical paper presented at the 2013 IEEE International Solid-State Circuits Conference (ISSCC), which introduced a System-on-Chip (SoC) for real-time seizure detection and suppression. In 2020, Dr. Liang led an AI-based research project that developed a Neural Feedback Training System for Sleep Improvement, which received the National Innovation Award. He also initiated an international collaboration between NCKU and Hokkaido University, focusing on innovative technologies for sleep environment enhancement and non-contact sleep assessment from 2018. This work was honored with the Materials and Devices Joint Research Award from the Network Joint Research Center and Dynamic Alliance, Japan, in 2020.
Dr. Liang served as an Associate Editor for the IEEE Transactions on Instrumentation and Measurement from 2020 to 2022. He currently serves as an Associate Editor for Frontiers in Neurology and as a Technical Program Committee (TPC) member for both the IEEE/CAS-EMB Biomedical Circuits and Systems Conference (BioCAS) and IEEE Consumer Systems for Healthcare and Wellbeing (CSH).
Ph.D. in Electrical and Control Engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2000.