Chin-Ling Chen | Cryptography | Outstanding Scientist Award

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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

Xing LI | Cybersecurity Risk | Best Researcher Award

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Assoc Prof Dr. Xing LI | Cybersecurity Risk | Best Researcher Award

Associate Professor at Xi’an Jiaotong University, China

Associate Professor Dr. Xing Li appears to be a suitable candidate for the Best Researcher Award based on several key considerations:

Profile:

Research Contributions:

Diverse Research Topics: Dr. Xing Li has made significant contributions to various fields within accounting and finance, with a particular focus on cybersecurity risk management and corporate governance. His research addresses critical issues such as the impact of managerial myopia on cybersecurity, employee education levels on corporate investment efficiency, and the relationship between corporate social responsibility and financial fraud.

High-Impact Publications: Dr. Li has an impressive record of publications in highly regarded journals such as the Journal of Banking & Finance, Journal of Accounting Literature, Contemporary Accounting Research, Journal of Business Ethics, and Accounting & Finance. His work has garnered recognition, including a Top Cited Article Award, indicating its impact and relevance in the academic community.

Collaborative Efforts: Many of Dr. Li’s research projects are collaborative, involving co-authors from different institutions. This collaborative approach is essential for producing high-quality, multidisciplinary research that addresses complex issues in innovative ways.

Teaching Excellence:

Outstanding Teaching Evaluations: Dr. Li has received exceptionally high student evaluation scores, including a 99.77 in 2023, and has been awarded the Outstanding Teaching Award at Xi’an Jiaotong University. His commitment to teaching excellence enhances his profile as a well-rounded academic.

Course Development: He has developed and taught courses such as Audit and Assurance (ACCA) and Empirical Accounting Research, contributing to the academic development of both undergraduate and master students.

Professional Recognition and Awards:

Awards and Honors: Dr. Li has received several prestigious awards, including the Shaanxi Provincial Higher School Science and Technology Achievement Award (Grand Prize) and the Outstanding Research Thesis Award at City University of Hong Kong. These accolades highlight his contributions to both research and teaching.

Research Funding: He has secured significant research funding from reputable sources such as the National Natural Science Foundation of China and the China Postdoctoral Science Foundation, underscoring his ability to attract support for his research initiatives.

Contributions to Academic Literature:

Monographs and Textbooks: Dr. Li has contributed as Deputy Editor-in-Chief to influential textbooks like “Blockchain Theory and Practice” and “Advanced Financial Management: Theory and Practice.” These contributions reflect his role in shaping academic literature and providing valuable resources for students and professionals.

Reviewer Roles and Professional Activities:

Editorial and Reviewer Roles: Dr. Li serves as a reviewer for several reputable journals, including the Journal of Business Ethics and the International Journal of Financial and Economics. His involvement in these roles demonstrates his commitment to maintaining high standards in academic publishing.

Conclusion:

Based on his extensive research contributions, outstanding teaching record, significant awards and honors, and active involvement in the academic community, Associate Professor Dr. Xing Li is indeed a strong candidate for the Best Researcher Award. His work not only advances academic knowledge but also addresses practical issues in cybersecurity risk management and corporate governance, making a substantial impact on the field.

Publication Tob Noted:

The Impact of Managerial Myopia on Cybersecurity: Evidence from Data Breaches

  • Authors: Chen, W., Li, X., Wu, H., Zhang, L.
  • Journal: Journal of Banking and Finance
  • Volume: 166
  • Article: 107254
  • Year: 2024
  • Citations: 0

Asymmetric Inefficiency in the Market Response to Non-earnings 8-K Information

  • Authors: Li, X., Tan, Q.
  • Journal: Contemporary Accounting Research
  • Volume: 39, Issue: 2
  • Pages: 1389–1424
  • Year: 2022
  • Citations: 1

MD&A Readability, Auditor Characteristics, and Audit Fees

  • Authors: Wang, L., Chen, X., Li, X., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 61, Issue: 4
  • Pages: 5025–5050
  • Year: 2021
  • Citations: 14

Corporate Social Responsibility and Financial Fraud: The Moderating Effects of Governance and Religiosity

  • Authors: Li, X., Kim, J.-B., Wu, H., Yu, Y.
  • Journal: Journal of Business Ethics
  • Volume: 170, Issue: 3
  • Pages: 557–576
  • Year: 2021
  • Citations: 26

Employee Quality and Audit Fee: Evidence from China

  • Authors: Li, X., Chen, X., Qi, B., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 60, Issue: 5
  • Pages: 4533–4566
  • Year: 2020
  • Citations: 26

 

Sharmila Ghosh | Hiding and Steganography | Best Researcher Award

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Ms. Sharmila Ghosh | Hiding and Steganography | Best Researcher Award 

Student at National Institute of Technology Agartala, India

Summary:

Sharmila Ghosh is a dedicated cyber security professional from Agartala, Tripura, India. She holds a BTech in Information Technology and is currently pursuing an MTech in Cyber Security. Her academic background includes extensive knowledge in Cryptography, Steganography, Ethical Hacking, and Web Development. Sharmila has demonstrated her technical skills through innovative projects such as Image Steganography using Histogram Shifting and Personalized Music Recommendation Systems. Her research interests focus on enhancing data security through chaos theory-based cryptographic algorithms and advanced image security techniques. She has earned several accolades, including multiple prizes in electronic design and national competitions. Sharmila’s commitment to advancing cyber security is evident in her published research and diverse skill set in programming and web development.

Profile:

Education:

Sharmila Ghosh is currently pursuing a Master of Technology (MTech) in Cyber Security at the National Institute Technology Agartala, Tripura, with expected completion in 2024. Prior to this, she earned her Bachelor of Technology (BTech) in Information Technology from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, where she achieved a CGPA of 8.62. During her undergraduate studies, she gained extensive knowledge in various areas including Cryptography, Steganography, Ethical Hacking, Data Structures, Algorithms, and Computer Networks. Sharmila completed her Higher Secondary education under the CBSE board at Sri Krishna Mission School, Agartala, with a percentage of 65.4%. She also completed her Secondary Examination under CBSE at the same school with a CGPA of 9.0. Her educational background reflects a strong foundation in both theoretical and practical aspects of cyber security and technology.

Professional Experience:

Sharmila Ghosh’s professional experience includes various roles and projects that have honed her skills in cyber security and technology. During her BTech studies, she implemented a cutting-edge Image Steganography project using Histogram Shifting combined with Huffman Encoding and AES Encryption for enhanced data security. She also developed a Personalized Music Recommendation System utilizing Deep Neural Network techniques, aiming to provide a tailored listening experience. Additionally, Sharmila worked on a Semantic Similarity Computation project using Cosine LSTM to analyze textual elements. Her hands-on projects and coursework have provided her with practical experience in ethical hacking, cryptography, web development, and programming, making her well-prepared for challenges in the cyber security field.

Research Interests:

Sharmila Ghosh’s research interests are centered around advancing the field of cyber security through innovative techniques and applications. Her focus includes Cryptography and Steganography, where she explores methods to enhance data security, particularly in medical imaging and digital watermarking. She is also interested in Chaos Theory-based Cryptographic Algorithms, which she investigates to improve cryptographic systems. Her research extends to Social Media Network Security, where she studies attacks and prevention measures. Additionally, Sharmila is engaged in Image Security analysis, employing chaos theory to enhance the robustness of image steganography. Her work aims to integrate and improve security measures using advanced methodologies, contributing to the broader cyber security landscape.

 Skills:

Sharmila Ghosh possesses a diverse skill set essential for a career in cyber security and technology. She is proficient in Cyber Security, with expertise in Ethical Hacking, Cryptography, and Steganography. Her programming skills include Python and C language, which she uses for various security-related applications and development tasks. In Web Development, Sharmila is skilled in HTML and CSS, contributing to her ability to create and secure web interfaces. She has a strong foundation in Data Structures and Algorithms, enhancing her problem-solving capabilities. Additionally, Sharmila has experience with Advanced Steganography Techniques, such as Histogram Shifting and Huffman Encoding, and is adept at using Deep Neural Networks for personalized systems. Her ability to integrate Cryptography with Steganography for enhanced data security reflects her innovative approach and strong analytical skills.

 Awards and Honors:

Sharmila Ghosh has received several awards and honors reflecting her academic and extracurricular achievements. She was awarded the Second Prize in a School-level scholarship competition in October 2023 and the Third Prize in an Enterprise Scholarship in June 2023. She was recognized as an Outstanding Student Cadre and an Outstanding Communist Party Member in September and June 2023, respectively. During her BTech, she earned the Second Prize in the Central University Graduate Electronic Design Competition in August 2022. She also achieved the Third Prize in the National Intelligent Car Competition South China Race in August 2021 and the Second Prize in the Hunan Electronic Design Competition in June 2021. These accolades highlight her excellence in both academic pursuits and competitive projects.

Publication Top Noted:

  1. “A Comparative Analysis of Chaos Theory-Based Medical Image Steganography to Enhance Data Security”
    Authors: Sharmila Ghosh, Ananya Saha, Tanmoy Pal, Arvind Kumar Jha
    Year: 2024
    Journal: Procedia Computer Science, 235, pp. 1024–1033
  2. “An Analysis of Chaos-Based Cryptographic Algorithms”
    Authors: Sharmila Ghosh, Pritam Pal, Nirmal Kar
    Year: 2023
    Conference: 5th International Conference on Electrical, Computer and Communication Technologies (ICECCT 2023)
  3. “Attacks on Social Media Networks and Prevention Measures”
    Authors: Pritam Pal, Sharmila Ghosh, Nirmal Kar
    Year: 2023
    Conference: International Conference for Advancement in Technology (ICONAT 2023)