Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang , Beijing Information Science and Technology University, China

Prof. Dr. Kang Haiyan is a prominent academic in the field of Information Security, currently serving as a professor in the Department of Information Security at Beijing Information Science and Technology University, China. He earned his Ph.D. in Computer Application Technology from Beijing Institute of Technology in 2005. A senior member of the China Computer Federation and an ACM member, Prof. Kang has received recognition as an outstanding talent in Beijing and serves as an executive member of the Privacy Protection Committee of the China Confidentiality Association. He is the chief of the national first-class major in Information Security and has contributed significantly to the field through over 110 academic publications and six monographs. His research focuses on network security, blockchain technology, and privacy protection, resulting in six provincial and ministerial awards and 25 invention patents. Committed to education, he has been honored with national and local teaching achievement awards and recognized as an Excellent Graduate Thesis Supervisor in Beijing. Additionally, he holds editorial board positions with several academic journals in the field.

Professional Profile:

SCOPUS

Prof. Dr. Kang Haiyan for the Best Researcher Award

Prof. Dr. Kang Haiyan is a remarkable candidate for the Best Researcher Award due to his extensive contributions to the fields of network security, blockchain, and privacy protection, alongside his dedication to academic excellence and leadership in education.

Education

  • Ph.D. in Computer Application Technology
    Beijing Institute of Technology, China (2005) 🎓

Work Experience

  • Professor
    Department of Information Security, Beijing Information Science and Technology University, Beijing, China
  • Chief
    National First-Class Major (Information Security) and Electronic Information (Network and Information Security) 📚
  • Editorial Board Member
    • Journal of Information Security Research
    • Cyberspace Security
    • Journal of Cyberspace Security Science
    • Journal of Beijing University of Information Science and Technology

Achievements

  • Research Awards: 6 provincial and ministerial level awards 🏆
  • Invention Patents: 25 patents for innovative contributions 💡
  • Publications: Over 110 academic papers and 6 monographs 📖

Awards and Honors

  • National Teaching Achievements: 2 Third Prizes 🥉
  • Beijing Teaching Achievements: 1 Second Prize 🥈
  • Title: Excellent Graduate Thesis Supervisor in Beijing 🌟

Publication Top Notes:

Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network

Community overlap discovery algorithm based on industrial big data

Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy

Enhancing data security in massive data sets using blockchain and federated learning: a loosely coupled approach

Research on Federated Sharing Methods for Massive Data in Blockchain

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award 

Prof. Tian-Fu Lee, Tzu Chi University, Taiwan

Dr. Tian-Fu Lee is a professor in the Department of Medical Informatics and the Institute of Medical Sciences at Tzu Chi University, Taiwan. He earned his B.S. degree in Applied Mathematics from National Chung Hsing University, Taiwan, followed by an M.S. degree in Computer Science and Information Engineering from National Chung Cheng University, Taiwan. He completed his Ph.D. in Computer Science and Information Engineering at National Cheng Kung University, Taiwan. Dr. Lee’s research interests span cryptography, network security, medical information security, wireless networks, Wireless Sensor Networks (WSN), the Internet of Things (IoT), the Internet of Medical Things (IoMT), and the Internet of Drones (IoD), where he contributes extensively to advancements in secure and efficient information systems for medical and technological applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Tian-Fu Lee is a highly qualified candidate for the Best Researcher Award, given his extensive academic background, contributions, and impactful research in fields related to cryptography, network security, medical information security, wireless sensor networks (WSN), the Internet of Things (IoT), and the Internet of Medical Things (IoMT). His academic trajectory—from a Bachelor’s in Applied Mathematics through a Master’s and Ph.D. in Computer Science and Information Engineering—equips him with a strong foundation in both theoretical and applied research. Currently, as a professor at Tzu Chi University in Taiwan, he has focused on solving crucial problems in medical informatics, cybersecurity, and privacy, particularly within healthcare systems.

Education

  • Bachelor of Science (B.S.) in Applied Mathematics
    • Institution: National Chung Hsing University, Taiwan
  • Master of Science (M.S.) in Computer Science and Information Engineering
    • Institution: National Chung Cheng University, Taiwan
  • Ph.D. in Computer Science and Information Engineering
    • Institution: National Cheng Kung University, Taiwan

Work Experience

  • Position: Professor
    • Department: Department of Medical Informatics and Institute of Medical Sciences
    • Institution: Tzu Chi University, Taiwan

Research Interests

  • Cryptography
  • Network Security
  • Medical Information Security
  • Wireless Networks
  • Wireless Sensor Networks (WSN)
  • Internet of Things (IoT)
  • Internet of Medical Things (IoMT)
  • Internet of Drones (IoD)

Publication top Notes:

Compliance with HIPAA and GDPR in Certificateless-Based Authenticated Key Agreement Using Extended Chaotic Maps

Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment

Extended Chaotic-Map-Based User Authentication and Key Agreement for HIPAA Privacy/Security Regulations

Blockchain-Based Healthcare Information Preservation Using Extended Chaotic Maps for HIPAA Privacy/Security Regulations