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Prof Dr. Chin-Ling Chen | Cryptography | Outstanding Scientist Award

Professor at Chaoyang University of Technology, Taiwan

Summary:

Prof. Dr. Chin-Ling Chen is a prominent researcher and academic known for his expertise in blockchain technology, cryptography, authentication, and network security. He has authored over 170 articles in prestigious SCI/SSCI international journals and holds 12 patents in Taiwan. From 2006 to 2015, he was recognized as a distinguished researcher at Chaoyang University of Technology, where he currently serves as a faculty member. Prof. Chen has actively contributed to the academic community by reviewing over 450 journal articles and serving on the editorial boards of several journals, including PLOS ONE and the International Journal on Artificial Intelligence Tools. His significant research contributions have advanced the fields of computer security, privacy, and digital signatures, positioning him as a leading figure in his areas of study.

Profile:

Education:

Prof. Dr. Chin-Ling Chen holds a distinguished educational background that has laid the foundation for his extensive research career. He earned his Bachelor’s degree in Computer Science and Information Engineering from National Changhua University of Education in Taiwan. He then pursued his Master’s degree in Computer Science from National Tsing Hua University, further enhancing his expertise in the field. Prof. Chen completed his Ph.D. in Computer Science and Engineering at National Chung Cheng University, where he focused on cutting-edge topics such as cryptography and network security. His strong academic training has significantly contributed to his prolific output and innovative research contributions in various domains, including blockchain technology, authentication, and wireless sensor networks.

Professional Experience:

Prof. Dr. Chin-Ling Chen has an extensive professional background in academia and research, primarily at Chaoyang University of Technology, where he has served as a faculty member and researcher. His career spans several years, during which he has made significant contributions to the fields of blockchain, cryptography, authentication, and network security. Prof. Chen has been recognized as a distinguished researcher annually from 2006 to 2015, highlighting his commitment to excellence in research and education. In addition to his teaching responsibilities, he has actively participated in peer review processes, evaluating over 450 articles for various SCI/SSCI journals. His editorial roles include memberships on the editorial boards of respected journals such as PLOS ONE and the International Journal on Artificial Intelligence Tools, reflecting his influence and leadership within the academic community.

Research Interests:

Prof. Dr. Chin-Ling Chen’s research interests encompass a broad range of topics in computer science and security, focusing on areas such as blockchain technology, cryptography, authentication, and network security. His work addresses critical issues in computer security and privacy, exploring innovative solutions for web services, mobile commerce (M-Commerce), and e-commerce applications. Prof. Chen also investigates digital signatures, radio frequency identification (RFID) systems, wireless sensor networks, and vehicular ad hoc networks. With over 170 publications in esteemed SCI/SSCI international journals, his contributions to these fields are significant, complemented by 12 patents in Taiwan. His research not only advances theoretical knowledge but also has practical implications, enhancing the security and privacy of modern technological systems.

Skills:

Prof. Dr. Chin-Ling Chen possesses a diverse skill set that is highly relevant to his research in computer science and security. He is proficient in blockchain technology and cryptographic techniques, enabling him to develop secure systems and applications. His expertise in authentication methods and network security allows him to address complex challenges related to data protection and privacy. Prof. Chen is also skilled in designing and implementing secure web services and e-commerce platforms, ensuring safe transactions and user confidentiality. Additionally, he has significant experience in radio frequency identification (RFID) technology and wireless sensor networks, contributing to advancements in IoT and vehicular ad hoc networks. His extensive background in research methodology and peer review further enhances his ability to contribute to the academic community and drive innovation in the field.

Conclution:

Prof. Dr. Chin-Ling Chen’s significant contributions to research, along with his extensive publication record and innovative patents, position him as a leading scientist in his field. His ongoing dedication to advancing technology and security makes him a highly deserving candidate for the Research for Outstanding Scientist Award.

Publication Top Noted:

Conformation of EPC Class 1 Generation 2 standards RFID system with mutual authentication and privacy protection

  • Cited By: 159
  • Year: 2009
  • Journal: Engineering Applications of Artificial Intelligence, 22(8), 1284-1291

An efficient user authentication and user anonymity scheme with provable security for IoT-based medical care system

  • Cited By: 137
  • Year: 2017
  • Journal: Sensors, 17(7), 1482

An extended chaotic maps-based key agreement protocol with user anonymity

  • Cited By: 114
  • Year: 2012
  • Journal: Nonlinear Dynamics, 69, 79-87

Mobile device integration of a fingerprint biometric remote authentication scheme

  • Cited By: 93
  • Year: 2012
  • Journal: International Journal of Communication Systems, 25(5), 585-597

An intelligent and secure health monitoring scheme using IoT sensor based on cloud computing

  • Cited By: 81
  • Year: 2017
  • Journal: Journal of Sensors, 2017(1), 3734764

A privacy authentication scheme based on cloud for medical environment

  • Cited By: 77
  • Year: 2014
  • Journal: Journal of Medical Systems, 38, 1-16

The design of a secure anonymous internet voting system

  • Cited By: 76
  • Year: 2004
  • Journal: Computers & Security, 23(4), 330-337

A traceable and privacy-preserving authentication for UAV communication control system

  • Cited By: 71
  • Year: 2020
  • Journal: Electronics, 9(1), 62

A secure medical data exchange protocol based on cloud environment

  • Cited By: 68
  • Year: 2014
  • Journal: Journal of Medical Systems, 38, 1-12

Collaborative learning by teaching: A pedagogy between learner-centered and learner-driven

  • Cited By: 59
  • Year: 2019
  • Journal: Sustainability, 11(4), 1174
Chin-Ling Chen | Cryptography | Outstanding Scientist Award

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