Liang-Hung Wang | Biomedical Engineering | Best Researcher Award

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Prof. Liang-Hung Wang – Biomedical Engineering – Best Researcher Award

 

Fuzhou University | China

      Profiles

📍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

VLSI Design Based on Block Truncation Coding for Real-Time Color Image Compression for IoT

     Authors: Shih-Lun chen; He-Sheng Chou; Shih-Yao Ke; Chiung An Chen; Tsung-Yi Chen; Mei-Ling Chan;

The Uses of a Dual-Band Corrugated Circularly Polarized Horn Antenna for 5G Systems

    Authors: chih-kai liu; Wei-Yuan Chiang; Pei-Zong Rao; Pei-Hsiu Hung; Shih-Hung Chen; Chiung An Chen;

    Journal: Micromachines

 

A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia

    Authors: Liang-Hung Wang; Ze-Hong Yan; Yi-Ting Yang; Jun-Ying Chen; Tao Yang; I-Chun Kuo;

    Journal: Sensors

 

A Novel Low-Power Synchronous Preamble Data Line Chip Design for Oscillator Control Interface

    Authors:  Shih-Lun chen; Tsun-Kuang Chi; Min-Chun Tuan; Chiung-An Chen; Liang-Hung Wang; Wei-Yuan Chiang; Ming-Yi Lin;

A Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System

    Authors: Liang-Hung Wang; Wei Zhang; Ming-Hui Guan; Su-Ya Jiang; Ming-Hui Fan; Patricia Angela Abu;

   Journal:  Sensors

Shen Shuwei | biomedical engineering | Best Researcher Award

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Dr. Shen Shuwei – biomedical engineering – Best Researcher Award

Suzhou Institute for Advanced Research, University of Science and Technology of China | China

Profiles 

Scholar

📍Current Position

He is currently an Associate Researcher at the Suzhou Institute for Advanced Research, University of Science and Technology of China. In this role, he works on the development of cutting-edge medical technologies, particularly in the areas of tissue phantoms and deep learning-based intelligent diagnosis and treatment.

📝Publication Achievements 

He has made significant contributions to the scientific community with over 30 published papers in high-impact journals such as IEEE Transactions on Medical Imaging, Biomedical Optics Express, Chemical Engineering Journal, and IEEE Journal of Biomedical and Health Informatics. His work is well-recognized, with a citation index of 10(h), showcasing the impact and relevance of his research.

 

🔍Ongoing Research 

He is currently involved in several innovative research projects, including the development of intelligent diagnosis and treatment systems for skin diseases and the creation of a research and preparation system for tissue oxygenation biomimetic models. These projects aim to revolutionize medical diagnostics and treatment by integrating advanced technologies like 3D printing and deep learning.

🔬Research Interests 

His research interests are broad and interdisciplinary, encompassing tissue phantoms, 3D printing, intelligent diagnosis and treatment based on deep learning, and advanced drug delivery systems. His work focuses on creating standardized medical devices and improving diagnostic and therapeutic techniques through technological innovation.

🎓Academic Background 

Ph.D. in Medical Devices and Intelligent Diagnosis and Treatment from the University of Science and Technology of China (2019). Postdoctoral Research at the First Affiliated Hospital of the University of Science and Technology of China (2019-2021).

🏆Scholarships and Awards 

He has received numerous accolades for his pioneering work, recognizing his contributions to medical device standardization and intelligent diagnosis systems. He has been a recipient of various research grants and scholarships that have supported his innovative projects.

🌐Professional Associations 

He is an active member of several professional organizations, including the IEEE, where he contributes to the advancement of medical imaging and diagnostics. His involvement in these associations ensures he stays at the forefront of technological developments in his field.

 📚Training & Workshops 

He has participated in numerous training sessions and workshops, both as a learner and a presenter. These events have provided him with the opportunity to share his knowledge, learn about the latest advancements, and network with other experts in the field.

🎤Oral Presentations 

Throughout his career, he  has delivered many oral presentations at national and international conferences. These presentations have highlighted his research findings and innovations, garnering attention from the global scientific community.

🧑‍🔬Tasks Completed as a Researcher 

As a dedicated researcher, he has completed numerous tasks, including conducting comprehensive studies, developing innovative medical devices, and publishing his findings in reputable journals. His work has significantly advanced the field of medical diagnostics and treatment.

🚀Success Factors 

he attributes his success to his dedication, innovative thinking, and collaborative approach. His ability to integrate advanced technologies with medical research has been a key factor in his achievements.

🧪Publications & Laboratory Experience

His extensive publication record and laboratory experience underscore his expertise and commitment to advancing medical science. His work in developing tissue phantoms and intelligent diagnostic systems has been groundbreaking, setting new standards in the field.

Citations

   Citations    388

📚Publications: