Jingpei Wang | Network Security | Research Excellence Award

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Dr. Jingpei Wang | Network Security | Research Excellence Award

Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences | China

Dr. Jingpei Wang is a researcher in space and industrial cyber-physical security with a focus on trusted computing, satellite network security, and industrial network protection. According to Scopus, he has authored 27 publications, received 98 citations, and holds an h-index of 6. His scholarly output includes journal articles and conference papers addressing secure data access, trusted transmission mechanisms, and defenses against false data injection attacks in smart grids and space information networks. He is also an inventor on nine patents, reflecting strong translational impact from theory to engineering practice. His research integrates security architecture design, threat modeling, and applied cryptographic and trusted-platform techniques for next-generation networked systems.

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Andrei Kojukhov | Cybersecurity | Research Excellence Award

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Dr. Andrei Kojukhov | Cybersecurity | Research Excellence Award

Senior Lecturer | Holon Institute of Technology | Israel

Dr. Andrei Kojukhov is a computer science researcher specializing in artificial intelligence, AI-driven education, advanced networking, and intelligent system architectures. His scholarly work integrates generative AI, personalized and ubiquitous learning, error correction in memory systems, and cybersecurity for next-generation digital infrastructures. He has published peer-reviewed research that bridges theoretical innovation and applied technology, particularly at the intersection of AI and education. His research impact is reflected in 114 total citations (85 since 2020), an h-index of 6 (5 since 2020), and an i10-index of 5, demonstrating sustained academic influence and relevance in contemporary AI, networking, and educational technology research domains.

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Kyung-Hyune Rhee | Information Security | Best Researcher Award

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Prof. Dr. Kyung-Hyune Rhee | Information Security | Best Researcher Award

Professor Emeritus at Pukyong National University, South Sudan

Professor Kyung-Hyune Rhee is a renowned academic and researcher in computer engineering, specializing in information security and blockchain applications. As Professor Emeritus at Pukyong National University, he has led critical advancements in cybersecurity, policy development, and technology education in South Korea. With a strong foundation in scientific research and government advisory roles, Professor Rhee has made substantial contributions to both academia and national cyber policy.

Publication Profile 

Scopus

Educational Background 🎓

  • Master of Science (M.S.), KAIST (Korea Advanced Institute of Science and Technology)

  • Doctor of Philosophy (Ph.D.), KAIST (Korea Advanced Institute of Science and Technology)

Professional Experience 💼

Current Positions

  • Professor, Department of IT Convergence and Application Engineering, Pukyong National University

  • Committee Member, ISMS/ISMS-P Certification

  • Evaluation Member, National Cyber Security Center

  • Advisory Member, Southeast Information Security Support Center

  • Member, Busan Metropolitan City Special Committee on the 4th Industrial Revolution

  • Advisory Member, Defense Security Research Institute

  • Policy Advisor, Korea Multimedia Society

  • Expert Member, Future Security Forum

Former Positions

  • President, Korea Institute of Information Security and Cryptology

  • Non-Executive Director, Korea Education and Research Information Service

  • Committee Member, Busan Metropolitan City Information Committee

  • Dean of Academic Affairs, CPSC (Philippine-based Intergovernmental Organization)

  • Director, Information & Computing Center, Pukyong National University

  • Visiting Professor, University of California, Irvine

  • Senior Researcher, Electronics and Telecommunications Research Institute (ETRI)

Research Interests 🔬

  • Computer Engineering

  • Information Security

  • Blockchain Applications

  • Cybersecurity Policy and Certification

  • Cryptographic Protocols and Network Security

Awards and Honors🏆✨

  • July 2015: Commendation from the Minister of Science, ICT and Future Planning (for strengthening cybersecurity capabilities)

  • November 2018: Commendation from the Minister of the Interior and Safety (for contributions to security certification)

  • July 2021: Order of Service Merit (Geunjeong Medal) – awarded on Information Security Day

Conclusion🌟

Professor Kyung-Hyune Rhee has established himself as a pivotal figure in South Korea’s digital transformation, particularly in the development of national cybersecurity strategies and the integration of blockchain technologies. His extensive academic output—over 450 research papers, 25+ books, and 20 patents—reflects a career dedicated to both scientific excellence and public service. With ongoing influence through advisory roles and policy development, he continues to contribute significantly to the global information security community.

Publications 📚

  1. 🧩 Hyperledger Fabric-Powered Network Slicing Handover Authentication
     I.T., Etienne Igugu Tshisekedi · M., Firdaus Muhammad · C.N.Z., Latt Cho Nwe Zin · S., Noh Siwan · K., Rhee Kyunghyune
     📚 Information Systems Frontiers, 2024
     🔗 0 Citations

  2. 🧠 Transparent and Accountable Training Data Sharing in Decentralized Machine Learning Systems
     S., Noh Siwan · K., Rhee Kyunghyune
     📚 Computers, Materials and Continua, 2024
     🔗 0 Citations

  3. 🔒 A Blockchain-Based Auditable Semi-Asynchronous Federated Learning for Heterogeneous Clients
     Q., Zhuohao Qian · M., Firdaus Muhammad · S., Noh Siwan · K., Rhee Kyunghyune
     📚 IEEE Access, 2023
     🔗 3 Citations

  4. 🚗 A Blockchain-Assisted Distributed Edge Intelligence for Privacy-Preserving Vehicular Networks
     M., Firdaus Muhammad · H.T., Larasati Harashta Tatimma · K., Rhee Kyunghyune
     📚 Computers, Materials and Continua, 2023
     🔗 4 Citations

  5. 🤖 Personalized Federated Learning for Heterogeneous Data: A Distributed Edge Clustering Approach
     M., Firdaus Muhammad · S., Noh Siwan · Z., Qian Zhuohao · H.T., Larasati Harashta Tatimma · K., Rhee Kyunghyune
     📚 Mathematical Biosciences and Engineering, 2023
     🔗 7 Citations

  6. 💬 Commentary: Integrated Blockchain–Deep Learning Approach for Analyzing the Electronic Health Records Recommender System
     S., Noh Siwan · M., Firdaus Muhammad · K., Rhee Kyunghyune
     📚 Note (Open Access)
     🔗 0 Citations

  7. 🏥 Secure Federated Learning with Blockchain and Homomorphic Encryption for Healthcare Data Sharing
     M., Firdaus Muhammad · K., Rhee Kyunghyune
     🔗 0 Citations

  8. 👥 Towards Trustworthy Collaborative Healthcare Data Sharing
     M., Firdaus Muhammad · K., Rhee Kyunghyune
     🔗 3 Citations

  9. 🧾 A Blockchain-Based CCP Data Integrity Auditing Protocol for Smart HACCP
     S., Noh Siwan · M., Firdaus Muhammad · Z., Qian Zhuohao · K., Rhee Kyunghyune
     🔗 1 Citation

  10. 🧠 BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning
     M., Firdaus Muhammad · S., Noh Siwan · Z., Qian Zhuohao · K., Rhee Kyunghyune
     🔗 6 Citations

 

 

 

 

Touhid Bhuiyan | Cybersecurity | Outstanding Scientist Award

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Prof. Dr. Touhid Bhuiyan | Cybersecurity | Outstanding Scientist Award

Professor at Washington University of Science and Technology, United States

Dr. T. Bhuiyan is a distinguished academic and consultant in Cyber Security, with extensive experience in teaching, research, and industry. His contributions span several continents and include a wealth of publications and keynotes, focusing on the transformative role of technology in education and security. 🌍🔐📖

Publication Profile : 

Orcid

 

🎓 Educational Background :

Dr. T. Bhuiyan is a seasoned professional in Cyber Security, Software Engineering, and Databases, with over 27 years of experience in teaching and research across the USA, Australia, and Bangladesh. He holds a PhD in Computer Science from Queensland University of Technology, Australia, along with an MSc from The American University in London and a BSc (Hons) in Computing & Information Systems from the University of London. His education is complemented by numerous certifications, including Certified Information System Auditor (CISA) and Certified Ethical Hacker (CEH).

💼 Professional Experience :

In his professional journey, Dr. Bhuiyan has served as a Professor of Cyber Security at Washington University of Science and Technology, and previously held leadership roles at Daffodil International University and Polytechnic Institute Australia. His consulting experience includes a significant role as a National Consultant for Cyber Security with the UNDP and the Government of Bangladesh, where he led initiatives to enhance cyber security measures for government portals. Dr. Bhuiyan has delivered keynote speeches at international conferences and has authored multiple influential publications, including books on intelligent recommendation systems and cyber security. His research interests lie at the intersection of information security, trust management, and e-Learning, exploring how technology can enhance educational practices and health informatics.

📚 Research Interests : 

🔍 Information Security
🌐 Social Networks
🔒 Trust Management
💻 Database Management
🏥 e-Health
📚 e-Learning

📝 Publication Top Notes :

  1. Hossain, M.A., Rahman, M.Z., Bhuiyan, T., Moni, M.A. (2024). Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches. International Journal of Environmental Research and Public Health, 21(11), 1392.
  2. Hanip, A., Sarower, A.H., Bhuiyan, T. (2024). The Transformative Role of Generative AI in Education: Challenges and Opportunities for Enhancing Student Learning and Assessment Through Mass Integration. International Journal of Advanced Research in Engineering and Technology, 15(5), 161-175.
  3. Mahmud, A., Sarower, A.H., Sohel, A., Assaduzzaman, M., Bhuiyan, T. (2024). Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach. Array, 21, 100339.
  4. Zannah, T.B., Abdulla-Hil-Kafi, M., Sheakh, M.A., Hasan, M.Z., Shuva, T.F., Bhuiyan, T., Rahman, M.T., Khan, R.T., Kaiser, M.S., Whaiduzzaman, M. (2024). Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images. Computation, 12(190).
  5. Bishshash, P., Nirob, M.A.S., Shikder, M.H., Sarower, M.A.H., Bhuiyan, T., Noori, S.R.H. (2024). A Comprehensive Cotton Leaf Disease Dataset for Enhanced Detection and Classification. Data in Brief, 57, 110913.
  6. Tamal, M.A., Islam, M.K., Bhuiyan, T., Sattar, A., Prince, N.U. (2024). Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning. Frontiers in Computer Science, 6, 1428013.
  7. Tamal, M.A., Islam, M.K., Bhuiyan, T., Sattar, A. (2024). Dataset of suspicious phishing URL detection. Frontiers in Computer Science, 6, 1308634.
  8. Sholi, R.T., Sarker, …, Bhuiyan, T., Shakil, S.M.K.A., Ahmed, M.F. (2024). Application of Computer Vision and Mobile Systems in Education: A Systematic Review. International Journal of Interactive Mobile Technologies, 18(1), 168-187.
  9. Ahad, M.T., Li, Y., Song, B., Bhuiyan, T. (2023). Comparison of CNN-based deep learning architectures for rice diseases classification. Artificial Intelligence in Agriculture, 9(1), 22-35.
  10. Basar, M.A., Hosen, M.F., Paul, B.K., …, Bhuiyan, T. (2023). Identification of drug and protein-protein interaction network among stress and depression: A bioinformatics approach. Informatics in Medicine Unlocked, 37, 101174.
  11. Paul, S.G., Saha, A., Arefin, M.S., Bhuiyan, T., …, Moni, M.A. (2023). A Comprehensive Review of Green Computing: Past, Present, and Future Research. IEEE Access, 11, 87445-87494.
  12. Sarker, S., Arefin, M.S., Kowsher, M., Bhuiyan, T., Dhar, P.K., Kwon, O.J. (2022). A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access, 11, 744-769.
  13. Asaduzzaman, S., Rehana, H., Bhuiyan, T., Eid, M.M.A., Rashed, A.N.Z. (2022). Extremely high birefringent slotted core umbrella-shaped photonic crystal fiber in terahertz regime. Applied Physics B, 128(148).
  14. Bhuiyan, T. (2022). Transitioning from education to work during the 4th Industrial Revolution. AIB Review, 7, Adelaide, Australia.
  15. Ali, M.N.B., Saudi, M.M., Bhuiyan, T., Ahmad, A.B., Islam, M.N. (2021). NIPSA Intrusion Classification. Journal of Engineering Science and Technology, 16(4), 3534-3547.