Prof. Dr. Saeed Banaeian Far | Cybersecurity | Best Scholar Award

Prof. Dr. Saeed Banaeian Far | Blockchain and Metaverse research lab | Iran

Prof. Dr. Saeed Banaeian Far is a leading researcher in the areas of Metaverse technologies, blockchain, and digital identity management, with a strong focus on the integration of emerging digital ecosystems into real-world applications. His research extensively explores the challenges and opportunities presented by the next generation of virtual and visual communication systems, including user interfaces, security, and privacy in Metaverse environments. He has made significant contributions to understanding the role of Digital Twins in Metaverse applications, addressing both technical and user-centric perspectives. In addition, his work on blockchain technologies and decentralized finance highlights the transformative potential of distributed systems for digital businesses, providing insights into how these technologies can shape future economic and social interactions. Prof. Banaeian Far has also extensively investigated Non-Fungible Tokens (NFTs) and their applications, including NFT-based identity management, offering frameworks for secure and efficient digital identity verification in virtual environments. His publications, appearing in high-impact journals such as the Journal of Network and Computer Applications, Procedia Computer Science, and SN Applied Sciences, demonstrate both depth and interdisciplinary reach, spanning computer science, data science, and network applications. With multiple high-citation works, his research has had a measurable impact on academic and industrial domains, driving innovation in digital ecosystems, virtual communications, and decentralized technologies. Overall, his scholarly contributions provide foundational knowledge and practical solutions that advance the development and adoption of Metaverse technologies and associated digital infrastructures.

Featured Publications

Banaeian Far, S., & Imani Rad, A. (2022). Applying Digital Twins in Metaverse: User interface, security and privacy challenges. Journal of Metaverse, 2(1), 8–16.

Banaeian Far, S., Imani Rad, A., & Rajabzadeh Asaar, M. (2023). Blockchain and its derived technologies shape the future generation of digital businesses: A focus on decentralized finance and the Metaverse. Data Science and Management, 6(3), 183–197.

Banaeian Far, S., Imani Rad, A., Hosseini Bamakan, S. M., & others. (2023). Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications. Journal of Network and Computer Applications, 103675.

Banaeian Far, S., Hosseini Bamakan, S. M., Qu, Q., & Jiang, Q. (2022). A review of Non-fungible Tokens applications in the real-world and Metaverse. Procedia Computer Science, 214, 755–762.

Banaeian Far, S., & Hosseini Bamakan, S. M. (2023). NFT-based identity management in metaverses: Challenges and opportunities. SN Applied Sciences, 5(10), 260.

Jinyan Wang | Information Security | Best Researcher Award

Dr. Jinyan Wang, Guangxi Normal University, China.

Dr. Jinyan Wang is a renowned professor at the School of Computer Science and Engineering, Guangxi Normal University, China. With expertise in machine learning and information security, her research addresses critical challenges in data analysis and digital protection. She has authored over 50 impactful publications in prestigious international journals and conferences, contributing significantly to the advancement of computer science. Dr. Wang’s academic journey includes advanced degrees in computer science and a visiting scholar position at East China Normal University. As an educator and researcher, she is dedicated to fostering innovation and mentoring future technology leaders.

Publication Profile

Googlescholar

Education & Experience:

B.Sc. in Computer Science and Information Technology, Northeast Normal University (2005).
M.Sc. in Computer Science and Information Technology, Northeast Normal University (2008).
Ph.D. in Computer Science and Information Technology, Northeast Normal University (2011).
Professor, School of Computer Science and Engineering, Guangxi Normal University, China (Current).
Visiting Scholar, East China Normal University, China (2019).

Suitability for the Award

Professor Jinyan Wang is a highly qualified and accomplished researcher, making her an excellent candidate for the Best Researcher Award. With a solid academic background, including a Ph.D. in Computer Science and Information Technology, she has significantly contributed to the fields of machine learning and information security. Her extensive research output, with over 50 publications in prestigious international journals and conferences, demonstrates her expertise and impact. Her experience as a visiting scholar further enhances her global research perspective. Professor Wang’s dedication to advancing knowledge in her fields of interest positions her as a leading figure in academic research.

Professional Development

Dr. Jinyan Wang has established herself as a leading figure in computer science, specializing in machine learning and information security. With over 50 research publications in renowned international journals and conferences, she has significantly advanced these fields. Her academic journey includes earning three degrees from Northeast Normal University and gaining international exposure as a visiting scholar at East China Normal University. Beyond her research, Dr. Wang is dedicated to mentoring the next generation of computer scientists, contributing to both education and innovation in technology.

Research Focus

Dr. Jinyan Wang’s research centers on machine learning and information security, two critical and evolving areas in computer science. Her work in machine learning explores advanced algorithms to enhance data analysis, predictive modeling, and AI applications. Simultaneously, her contributions to information security aim to safeguard digital systems and protect sensitive data from cyber threats. With over 50 publications in leading journals and conferences, Dr. Wang is at the forefront of innovative solutions, combining theoretical insights with practical applications to address real-world challenges.

Awards and Honors

Best Paper Award – Recognized for excellence in vision-language research.
Graduate Fellowship – National Tsing Hua University, Taiwan.
Outstanding Thesis Award – Shaanxi Normal University, China.
Research Excellence Recognition – vivo AI Lab, 2019.
Academic Merit Scholarship – Southwest Minzu University, China.

Publication Highlights

A perturb biogeography based optimization with mutation for global numerical optimization – Cited by 106 (2011)
Two privacy-preserving approaches for publishing transactional data streams – Cited by 36 (2018)
Fuzzy multiset finite automata and their languages – Cited by 34 (2013)
Real-time reversible data hiding with shifting block histogram of pixel differences in encrypted image – Cited by 31 (2019)
Two privacy-preserving approaches for data publishing with identity reservation – Cited by 24 (2019)
Soft polygroups – Cited by 22 (2011)
Two approximate algorithms for model counting – Cited by 21 (2017)

Saeed Banaeian Far | Cybersecurity | Best Scholar Award

Prof. Dr. Saeed Banaeian Far | Cybersecurity | Best Scholar Award

Profile: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications