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

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

🎓 Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

💼 Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

🏆 Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

🌟 Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publication Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy