Prof. Shih-Hau Fang, National Taiwan Normal University, Taiwan
Shih-Hau Fang is a distinguished professor in the Department of Electrical Engineering at National Taiwan Normal University (NTNU), specializing in AIoT, mm-wave radar applications, and acoustic signal sensing. He holds a Ph.D. in Communication Engineering from National Taiwan University and has a rich academic and industrial career, having previously served as a professor at Yuan-Ze University and a chief scientist at Far EasTone Telecom. Professor Fang’s research is interdisciplinary, focusing on the Internet of Things (IoT), indoor positioning, healthcare applications, and acoustic sensing technologies. He has authored numerous technical papers, holds multiple patents, and has been recognized as one of the top 2% scientists globally in networking and telecommunications. A fellow of the Institution of Engineering and Technology (IET) and a senior member of IEEE, he has received several prestigious awards, including the Outstanding Young Electrical Engineer Award and the Future Technology Award. His research team has made significant contributions to mobile computing, voice enhancement, and pathological voice analysis, with work featured in top IEEE journals and conferences. Prof. Fang’s groundbreaking work has garnered over 4000 citations, establishing him as a leading figure in his field.
Professional Profile:
Summary of Suitability for the Outstanding Scientist Award: Prof. Shih-Hau Fang
Academic and Professional Credentials:
Prof. Shih-Hau Fang is an eminent scientist with a robust academic background and substantial contributions to the fields of AIoT, mm-wave radar applications, and acoustic signal processing. His educational journey, beginning with a Bachelor’s degree in Communication Engineering from National Chiao Tung University (1999), progressing through a Master’s and Ph.D. from National Taiwan University (2001 and 2009), reflects a strong foundation in communication and engineering. Prof. Fang has consistently advanced his career, holding prestigious positions such as Full Professor at National Taiwan Normal University, Chief Scientist for AIoT at Far EasTone Telecom, and Distinguished Professor at Yuan-Ze University.
🎓 EDUCATION
- National Chiao Tung University | Bachelor (09/1995 – 06/1999) | Communication Engineering
- National Taiwan University, Taiwan | Master (09/1999 – 06/2001) | Communication Engineering
- National Taiwan University, Taiwan | Ph.D. (09/2003 – 02/2009) | Communication Engineering
💼 EMPLOYMENT
- National Taiwan University, Taiwan | Postdoctoral Researcher (02/2009 – 07/2009) | Communication Engineering
- Yuan-Ze University, Taiwan | Assistant Professor (08/2009 – 01/2013) | Networking
- Yuan-Ze University, Taiwan | Associate Professor (02/2013 – 07/2016) | Data Science
- Academia Sinica, Taiwan | Visiting Scholar (01/2015 – 02/2015) | Acoustic Signal Processing
- Yuan-Ze University, Taiwan | Full Professor (08/2016 – 07/2024) | Data Science
- Far EasTone Telecom, Taiwan | Chief Scientist (02/2020 – 12/2020) | Cross-domain AI Applications
- AI Innovation Research Center, Yuan-Ze University, Taiwan | Director (02/2022 – 07/2024) | Cross-domain AI Applications
- Research and Development Office, Yuan-Ze University, Taiwan | Vice President (02/2022 – 07/2024) | AIoT, Mm-Wave Radar Applications
- Yuan-Ze University, Taiwan | Distinguished Professor (02/2022 – 07/2024) | AIoT, Mm-Wave Radar Applications
- National Taiwan Normal University, Taiwan | Full Professor (08/2024 – Present) | AIoT, Mm-Wave Radar Applications
🏅 HONORS
- 2024 IET Fellow | [Institution of Engineering and Technology]
- 2023-2024 ESI Highly Cited Paper | [Web of Science]
- 2020-2024 Top 2% Scientists | [Elsevier]
- 2021 Most Cited Paper | [Journal of Voice]
- 2021 Top 100 Download Paper | [Scientific Report]
🔬 CONTRIBUTIONS TO SCIENCE
Prof. Fang has authored 2 book chapters, holds 13 patents, and published 60 journal articles. He has 58 international conference papers and has accumulated over 4000 citations on Google Scholar. His research breakthroughs include:
- Indoor positioning: Eliminating multipath effects, published in IEEE ToWC with 263 citations.
- Neural networks: Published in IEEE ToNN with 289 citations.
- Mobile computing: Improving efficiency, published in IEEE ToMC.
- Voice enhancement technology: Developed a commercially viable offline voice control module.
In 2020, Prof. Fang’s team achieved 3rd place in Track 6 and 1st place in Track 7 at the International Indoor Navigation Competition. Their work in pathological voice analysis ranks among the best globally, with their detection accuracy being one of the highest.
🌍 IMPACT & INNOVATIONS
- Prof. Fang has pioneered voice enhancement technologies, receiving the Gold Award at the 2021 Taiwan Innovation Expo and the Future Technology Breakthrough Award (2019).
- His team’s work on AI applications in healthcare has greatly improved pathological voice analysis through a fully annotated voice database in collaboration with Far Eastern Memorial Hospital.
🎯 Research Focus:
- AIoT
- mm-Wave Radar
- Acoustic Signal Processing
- Indoor Positioning Systems
Publication top Notes:
A Lightweight Learning Framework for Packet Loss Concealment and Speech Enhancement
Novel Human-Posture Recognition System Based on Advanced Graph Convolutional Network Using Skeletal Data
Novel Subject-Dependent Human-Posture Recognition Approach Using Tensor Regression
Prediction of Customer Behavior Changing via a Hybrid Approach
Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics
Improved Speech Authenticity Detection in Chinese–English Bilingual Contexts