Assoc. Prof. Dr. Wen-Fong Wang | Gait Analysis | Best Researcher Award

Assoc. Prof. Dr. Wen-Fong Wang | Gait Analysis | Best Researcher Award 

Assoc. Prof. Dr. Wen-Fong Wang, National Yunlin University of Science and Technology, Taiwan

Dr. Wen-Feng Wang is an Associate Professor in the Department of Computer Science and Information Engineering at National Yunlin University of Science and Technology (YunTech), Taiwan. He earned his Ph.D. and M.S. degrees in Electrical Engineering and Computer Science from National Cheng-Kung University and his B.S. degree from National Cheng-Chi University. Dr. Wang’s research focuses on e-Health and medical informatics, with particular expertise in EKG and PPG signal analysis, gait signal processing, wearable computing, and IoT-based smart health systems. His work also spans embedded system design and computer networking technologies. He has received prestigious honors including the Outstanding Research Team Award from Taiwan’s National Science Council and a Gold Medal at the 2020 Taiwan Innotech Expo for his innovative gait analysis system based on tri-axial accelerometer technology. Dr. Wang is recognized for his impactful contributions to smart healthcare technologies and wearable system development.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Best Researcher Award: Dr. Wen-Feng Wang

Dr. Wen-Feng Wang, Associate Professor at the Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology (YunTech), Taiwan, is an exceptional candidate for the Research for Best Researcher Award. His outstanding interdisciplinary research contributions at the intersection of e-Health, biomedical signal processing, embedded systems, and IoT-based smart health systems strongly support his nomination.

🎓 Education

  • Ph.D. in Computer Science or Electrical Engineering
    – Department of Electrical Engineering, National Cheng-Kung University, Taiwan 🇹🇼

  • M.S. in Computer Science or Electrical Engineering
    – Department of CSIE, National Cheng-Kung University, Taiwan 🇹🇼

  • B.S. in Computer Science or Electrical Engineering
    – Department of Applied Mathematics, National Cheng-Chi University, Taiwan 🇹🇼

🧑‍🏫 Current Position

  • Associate Professor
    – Department of Computer Science and Information Engineering
    National Yunlin University of Science and Technology (YunTech), Douliu City, Yunlin County, Taiwan

🧪 Research Interests

  • 💻 e-Health & Medical Informatics

  • ❤️ EKG and PPG Signal Analysis

  • 🚶 Gait Signal Processing & Analysis

  • ⌚ Wearable Computing

  • 🧩 Embedded System Design

  • 🌐 Computer Networking

  • 🏥 IoT-based Smart Health Systems

🏆 Awards & Honors

  • 🥇 Gold Medal, 2020 Taiwan Innotech Expo
    Project: Gait Analysis System Based on Tri-Axial Accelerometer Technology

  • 👏 Outstanding Research Team Award, National Science Council (NSC), Taiwan
    – For leading the Free Software and Embedded Systems Project

Publication Top Notes:

Hybrid approach to heart rate estimation: comparing Green, CHROM and POS methods in rPPG analysis

Gait abnormalities and longitudinal fall risk in older patients with end-stage kidney disease and sarcopenia

A machine learning approach for identification of vascular access patency in hemodialysis patients using photoplethysmography: A pilot study

An efficient data hiding for ECG signals based on the integer wavelet transform and block standard deviation

Intelligent Fall-Risk Assessment Based on Gait Stability and Symmetry Among Older Adults Using Tri-Axial Accelerometry

An efficient reversible ECG steganography by adaptive LSB approach based on 1D FDCT domain