Prof. Dr. Lun-Ping Hung | Wireless Networks Awards | Best Researcher Award

Prof. Dr. Lun-Ping Hung | Wireless Networks Awards | Best Researcher Award

Prof. Dr. Lun-Ping Hung, National Taipei University of Nursing and Health Sciences, Taiwan

Professor Lun-Ping Hung is a distinguished academic at the National Taipei University of Nursing and Health Sciences, where he has been a faculty member in the Department of Information Management since 2014. With a Doctorate in Computer Science and Information Engineering from Tamkang University, Professor Hung has made significant contributions to the fields of healthcare technology and informatics. He currently serves as the Dean of the College of Health Technology, a position he has held since August 2021. Prior to this, he directed the Division of Continuing and Extension Education at the university from 2013 to 2021 and was an Associate Professor in the same department from 2009 to 2014. His professional expertise encompasses a wide range of areas, including Internet of Things (IoT) applications in healthcare, mobile healthcare applications, wireless sensor networks, recommendation systems, medical informatics, and intelligent learning systems. Professor Hung’s dedication to advancing healthcare through technology positions him as a leading figure in the integration of information management and nursing sciences, contributing to improved patient outcomes and innovative health solutions

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Lun-Ping Hung

Research Focus and Contributions: Prof. Lun-Ping Hung is a distinguished professor in the Department of Information Management at the National Taipei University of Nursing and Health Sciences. With an extensive academic and professional background, he has made significant contributions to the fields of healthcare informatics, IoT applications in healthcare, and mobile healthcare solutions. His research encompasses critical areas such as wireless sensor networks, recommendation systems, and intelligent learning systems, which are increasingly vital in modern healthcare settings.

Education 🎓

  • Ph.D. in Computer Science and Information Engineering
    Tamkang University

Employment 🏢

  • 2014.08 – Present: Professor, Department of Information Management, National Taipei University of Nursing and Health Sciences
  • 2021.08 – Present: Dean, College of Health Technology, National Taipei University of Nursing and Health Sciences
  • 2013.08 – 2021.07: Director, Division of Continuing and Extension Education, National Taipei University of Nursing and Health Sciences
  • 2009.08 – 2014.07: Associate Professor, Department of Information Management, National Taipei University of Nursing and Health Sciences
  • 2004.08 – 2007.07: Director, Computer Center, City University of Science and Technology
  • 2004.06 – 2007.07: Director, Personnel Office, City University of Science and Technology

Professional Activities 🔍

  • Internet of Things (IoT) Applications in Healthcare
  • Mobile Healthcare Applications
  • Wireless Sensor Networks
  • Recommendation Systems
  • Medical Informatics
  • Intelligent Learning Systems

Achievements & Awards 🏆

  • Recognized for contributions to healthcare technology and innovation in academic and professional settings.
  • Multiple publications in renowned journals focusing on healthcare applications of information technology.
  • Awards for outstanding leadership and excellence in academic administration and research initiatives.

Publication Top Notes:

Applying AIoT image recognition for prognosis of wound healing in long-term care residential facility

An Intelligent Shopping-guide System Based on the AIDA Rule

Enhancing Elderly Care through a 3D Interactive Simulation System in a Day Care Center

Development of a Serious Game-Based Mechanism for Sarcopenia Training – A Case Study on Limb-Specific Exercise

Designing a Multi-Criteria Decision-Making Framework to Establish a Value Ranking System for the Quality Evaluation of Long-Term Care Services

Assessment of Vocal Characteristics Associated With Chronic Rhinosinusitis Using Machine-Learning Techniques Based on Long-Term Average Spectrum of Voice

Guest Editorial: Special Issue for TANET 2022