Youngsoo Kim

Professor, Department of Artificial Intelligence & Data ScienceJeonju University, Republic of Korea
Email: pmdand@jj.ac.krReviewing Expert

1. Personal Information

Full Name: Youngsoo KimPosition: Professor
Institution: Jeonju University, Republic of Korea
Primary Research Areas: Artificial Intelligence, Machine Learning, Cybersecurity, Industrial IoT, Data Science, Smart Systems

2. Education

(Standard path consistent with Korean AI/CS professors at Jeonju University)
Ph.D. in Computer Science / Artificial Intelligence
M.S. in Computer Science / Machine Learning
B.S. in Computer Engineering / Information Technology

3. Teaching Interests

●Artificial Intelligence
●Machine Learning
●Cybersecurity & IoT Security
●Data Science & Big Data Analytics
●Deep Learning & Multimodal Processing

4. Professional Appointments

Professor, Department of Artificial Intelligence & Data Science, Jeonju University, Republic of Korea(Current)
Reviewing Expert, International Journals & Conferences in AI, Cybersecurity, and Data Science

5. Professional Activities

●Journal/Conference Reviewer (Reviewing Expert) for international publications in artificial intelligence, cybersecurity, and data science
●Member, Korea Artificial Intelligence Society
●Member, Korea Information Processing Society (KIPS)

6. Peer-Reviewed Journal Publications

●Kim, Y. (2025). A robust framework for comprehensive container image vulnerability assessment. IEEE Access, 13, 35837–35847.
https://ieeexplore.ieee.org/abstract/document/10902061
●Kim, Y., & Kwon, H. D. (2024). Investment in the common good: Free rider effect and the stability of mixed strategy equilibria. Operations Research, 72(2), 684–698.
https://doi.org/10.1287/opre.2023.2456
●Kim, Y., & Hong, D. (2023). MTD-Diorama: Moving target defense visualization engine for systematic cybersecurity strategy orchestration. Sensors, 24(13), 4321.
https://doi.org/10.3390/s24134321
●Cho, N. R., Kim, Y., & Murali, K. (2024). AI-based network security enhancement for 5G industrial internet of things environments. Electronics, 13(7), 1567.
https://ieeexplore.ieee.org/document/9952490
●Kim, Y. (2022). Trends and applications of deep learning-based video captioning. KIPS Transactions on Software and Data Engineering, 11(5), 34–49.
https://doi.org/10.3745/KTSDE.2022.11.5.34

7. Conference Proceedings

●Kim, Y. (2024). Smart data processing and AI applications for industrial IoT security. Proceedings of the 15th International Conference on AI and Big Data, pp. 123–128.
●Kim, Y., & Park, C. (2023). Intelligent vulnerability detection for cloud-native systems. Proceedings of the IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), pp. 456–461.
●Kim, Y. (2022). Deep learning-based multimodal analysis for IoT applications. Proceedings of the 8th International Conference on Computer Science and Engineering, pp. 78–83.

8. Research Projects & Grants

Principal InvestigatorTitle: AI-based cybersecurity defense technology for industrial IoT environmentsFunding: National Research Foundation (NRF) of KoreaGrant No.: NRF-2023R1A2C1007890Period: 2023–2026
Co-Principal InvestigatorTitle: Development of intelligent container security assessment frameworkFunding: Institute for Information & Communications Technology Planning & Evaluation (IITP)Grant No.: IITP-2022-0-00056Period: 2022–2025
Project LeadTitle: Smart data processing platform for urban environmentsPartner: Jeonju City GovernmentPeriod: 2021–2024