📍Current Position
Since March 2014, Professor Liang-Hung Wang has been serving as a Professor and Ph.D. Supervisor in the Department of Microelectronics at the College of Physics and Information Engineering, Fuzhou University, China. In this role, he leads the Fujian-Taiwan Science and Technology Cooperation Platform and directs the International Joint Laboratory for Intelligent Health Systems and Biochip Development. Additionally, he holds the position of Deputy Director of the Department of Microelectronics, where he oversees various research initiatives and academic programs.
📝Publication Achievements
Journals Published
Professor Wang boasts an extensive publication record, including influential papers in high-impact journals such as the Journal of Cleaner Production, Polish Journal of Environmental Studies, and the Journal of Urban Planning and Development. Notable publications include: “The Effect of Mandatory Environmental Regulation on Innovation Performance: Evidence from China” – Journal of Cleaner Production, 2018. (SCI JCR Q1, Impact Factor 11.075, cited 109 times) “Sustainable Development: R&D Internationalization and Innovation” – Polish Journal of Environmental Studies, 2023. (SCI) “Whether Openness and Inclusiveness Exacerbates Urban Pollution: Evidence from China” – Journal of Urban Planning and Development, 2022. (SSCI JCR Q3, Impact Factor 2.573) “The Impact of Banking Competition on Firm Credit Risk and Leverage” – Sage Open, 2021. (SSCI JCR Q2, Impact Factor 2.1)
🔍Ongoing Research
Currently, Professor Wang is spearheading seven research projects and managing 10 working papers. His research portfolio encompasses: Low-Power Biological Signal Acquisition and Detection ICs Design: Developing energy-efficient integrated circuits for biomedical applications. Automatic Identification and Classification of Heart Disease: Utilizing AI algorithms to analyze ECG signals and diagnose cardiac conditions. Brain-Computer Interface (BCI) and EEG Signal Analysis: Exploring advanced methods for interpreting brain signals to enhance human-computer interactions. Heterogeneous Data Processing in Cardiac Medical Information and Brain Science: Integrating diverse data sources to improve diagnostic accuracy and treatment efficacy.
🔬Research Interests
Professor Wang’s research interests are multifaceted, focusing on: Innovation and Network Analysis: Studying how innovation networks impact technological advancements and economic growth. R&D Internationalization: Examining the global expansion of research and development activities and their effects on innovation performance. Environmental Management: Investigating sustainable practices and regulatory impacts on environmental and economic systems. Bioinformatics for Telemedicine and Healthcare Applications: Developing algorithms and systems for remote health monitoring and diagnosis.
🎓Academic Background
h.D. in Electrical Engineering – National Chung Cheng University, Chiayi, Taiwan, 2013. M.S. in Electrical Engineering – I-Shou University, Kaohsiung, Taiwan, 2003. B.S. in Electrical Engineering – I-Shou University, Kaohsiung, Taiwan, 2000.
🏆Scholarships and Awards
Throughout his career, Professor Wang has received numerous accolades, including: IEEE Senior Membership – April 2019 Innovation and Entrepreneurship Taiwan Talents – Second Batch of Fujian Provincial Introduced Taiwan’s High-Level Hundred Talents, March 2019. Excellent Taiwanese Talents in Fujian – Third Batch of Excellent Hundred Persons Program, March 2018. TWEMBA Outstanding Ph.D. Dissertation Award for his work on “A Wireless ECG Acquisition SoC for Healthcare Monitoring,” January 2014. Outstanding Project Award of NSOC, Ministry of Education, Taiwan – November 2011.
🧬Bioinformatics
While Professor Wang’s primary expertise lies in electrical engineering and integrated circuit design, his work intersects significantly with bioinformatics, particularly in the development of biomedical circuits and systems for healthcare applications. His research includes: Portable ECG Signal Acquisition Systems: Designing low-power ICs for real-time heart monitoring. AI-Driven ECG Analysis: Implementing machine learning algorithms for automatic detection and classification of heart diseases. Brain-Computer Interfaces (BCI): Developing systems that interpret EEG signals to facilitate advanced human-computer interactions.
🌐Professional Associations
Professor Wang is an active member of several prestigious organizations, including: IEEE Circuits and Systems Society IEEE Solid-State Circuits Society IEEE Consumer Electronics Society IEEE Engineering in Medicine and Biology Society.
📚Training & Workshops
Dedicated to continuous learning and knowledge dissemination, Professor Wang participates in and conducts numerous workshops and training sessions. His expertise has been shared globally, including: Teaching Assistant Roles Abroad: Malaysia Intel Analog Design Engineering, Intel Design Center (2011-09): Courses on Radio Frequency Integrated Circuits and Analog Filter Design. University of the Philippines (UP) (2008-10): Analog Filter Design. Workshops at Fuzhou University: Leading sessions on integrated circuit design, system integration, and bioinformatics applications in healthcare.
🎤Oral Presentations and🗣️Thought Leadership
Professor Wang has delivered numerous oral presentations at international conferences, sharing his research findings with the global scientific community. His presentations cover topics such as: Low-Power ECG Acquisition Systems: Demonstrating advancements in biomedical circuit design for healthcare monitoring. AI Algorithms for Heart Disease Classification: Presenting novel approaches to automatic ECG signal analysis. Brain-Computer Interfaces: Exploring the integration of EEG signal processing with intelligent health systems.
🧑🔬Tasks Completed as a Researcher
Throughout his career, Professor Wang has successfully managed and completed a variety of research tasks, including: Leading Multi-disciplinary Research Projects: Coordinating efforts across electrical engineering, bioinformatics, and environmental management. Publishing in High-Impact Journals: Contributing significant findings to respected publications, enhancing the visibility and impact of his research. Mentoring Ph.D. Students: Guiding the next generation of researchers through rigorous academic training and research supervision. Developing Innovative IC Designs: Creating advanced integrated circuits for biomedical applications, such as ECG signal acquisition and RFID systems.
🚀Success Factors
Several key factors contribute to Professor Wang’s success: Interdisciplinary Expertise: Combining knowledge from electrical engineering, bioinformatics, and environmental science to tackle complex problems. Commitment to Innovation: Continuously developing cutting-edge technologies and methodologies in his research. Collaborative Spirit: Engaging with international partners and professional associations to enhance research quality and impact. Strong Academic Foundation: Leveraging his extensive education and professional experience to drive research excellence and academic leadership.
🧪Publications & Laboratory Experience
Professor Wang’s publications reflect his deep involvement in both theoretical and applied research. His laboratory experience includes: Biomedical Circuit Design: Developing low-power ICs for ECG signal acquisition, integrating analog and digital circuits for efficient data processing. AI-Based Signal Processing: Implementing machine learning algorithms to enhance the accuracy of heart disease detection and classification. Brain-Computer Interface Development: Creating systems that translate EEG signals into actionable data for improved human-computer interactions.
🔍 Conclusion
Professor Liang-Hung Wang is a distinguished academic and researcher whose work bridges electrical engineering, bioinformatics, and environmental management. His leadership at Fuzhou University, combined with his extensive publication record and active participation in professional societies, highlights his dedication to advancing technology and improving healthcare systems. Through innovative research, mentorship, and collaboration, Professor Wang continues to make significant contributions to his fields, driving progress and fostering the development of intelligent health systems.
Publications