Department of Intelligent Automation Engineering, National Chin-Yi University of Technology, Taiwan
Dr. Chung-Min Wu is a dedicated researcher and educator in intelligent automation and biomedical engineering. He is an Associate Professor in the Department of Intelligent Automation Engineering at Chienkuo Technology University, Taiwan. His work focuses on developing assistive technologies, intelligent home healthcare systems, and advanced AI-driven human-machine interfaces. As a member of the Taiwan Society of Biomedical Engineering and the Taiwan Society of Rehabilitation Engineering and Assistive Technology, he actively contributes to enhancing the quality of life for individuals with disabilities and the elderly.
Publication Profile
ORCID
🎓 Education
Dr. Wu earned his Bachelor’s degree in Automatic Control Engineering from Feng Chia University, Taiwan, in 1994. He pursued his Master’s degree in Biomedical Engineering at National Cheng Kung University, Taiwan, in 1998, followed by a Ph.D. in Electrical Engineering from the same institution in 2004. His academic journey has been centered around integrating AI, control systems, and biomedical applications to develop intelligent assistive technologies.
💼 Experience
With years of research and teaching experience, Dr. Wu has been instrumental in advancing AI-based assistive technologies. Currently serving as an Associate Professor at Chienkuo Technology University, he leads innovative projects focusing on fuzzy control, biomedical signal processing, and brain-computer interface (BCI) systems. His work includes designing smart assistive devices for individuals with physical disabilities, enabling them to communicate, control their environment, and improve their overall well-being. He has also collaborated with interdisciplinary teams to integrate IoT-based smart home solutions for elderly healthcare.
🏆 Awards and Honors
Dr. Wu’s contributions to the field of biomedical engineering and automation have been widely recognized. His work on AI-driven assistive devices and brainwave-based control systems has been published in prestigious international journals and conferences. His research has received numerous citations, reflecting its impact on AI-assisted healthcare and assistive technology design.
🔬 Research Focus
Dr. Wu’s research is primarily divided into two key domains: assistive technology design and intelligent home healthcare. His work in assistive technology involves developing devices for individuals with severe physical disabilities, focusing on assistive input methods, brainwave-based control, and AI-powered communication tools. In intelligent home healthcare, he integrates wearable sensors, IoT, and smart voice-controlled systems to enhance elderly care and remote health monitoring. His brain-computer interface (BCI) research explores advanced AI models to improve user experience and functionality in assistive systems.
🔚 Conclusion
Dr. Chung-Min Wu is a visionary researcher dedicated to enhancing AI-driven assistive technologies and intelligent healthcare systems. His groundbreaking research in BCI, fuzzy control, and smart healthcare solutions has significantly contributed to the well-being of individuals with disabilities and the elderly. Through his continued innovations, he is shaping the future of AI-based human-machine interaction and biomedical automation. 🚀
📝 Publications
Multi-Domain Features and Multi-Task Learning for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces (📖 Applied Sciences, 2025) DOI: 10.3390/app15042176
A Personalized Contactless Emergency Aid System Designed for Individuals with Profound Physical Disabilities (📖 IEEE Access, 2024) DOI: 10.1109/access.2024.3366068
Creating an AI-Enhanced Morse Code Translation System Based on Images for People with Severe Disabilities (📖 Bioengineering, 2023) DOI: 10.3390/bioengineering10111281
Artificial Intelligence Model for an Electrocardiography-based Blood Pressure Estimation System (📖 Sensors and Materials, 2023) DOI: 10.18494/sam4234
Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs (📖 Sensors, 2021) DOI: 10.3390/s21155019
Wireless Home Assistive System for Severely Disabled People (📖 Applied Sciences, 2020) DOI: 10.3390/app10155226
Fuzzy Tracking and Control Algorithm for an SSVEP-Based BCI System (📖 Applied Sciences, 2016) DOI: 10.3390/app6100270
Design of a Code-Maker Translator Assistive Input Device with a Contest Fuzzy Recognition Algorithm for the Severely Disabled (📖 Mathematical Problems in Engineering, 2015) DOI: 10.1155/2015/780849
The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm (📖 Mathematical Problems in Engineering, 2015) DOI: 10.1155/2015/234260