Prof. Junzo Watada

Faculty of Data Science

Shimonoseki City University, Japan

Professor

Email: [email protected]

Qualifications

1983 Ph.D., Industrial Engineering, Osaka Prefecture University, Japan

1972 M.Sc., Electric Engineering, Osaka City University, Japan

1970 B.Sc., Electric Engineering, Osaka City University, Japan

Publications (Selected)

1. Wei, Y., Wang, Y., & Watada, J. (2025). A Modular Perspective on the Evolution of Deep Learning: Paradigm Shifts and Contributions to AI. Applied Sciences, 15(19), 10539.
2. Sakai, H., Nakata, M., Ślęzak, D., & Watada, J. (2025). Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules. Applied Soft Computing, 172, 112842.
3. Pan, J. S., Yu, N., Chu, S. C., Zhang, A. N., Yan, B., & Watada, J. (2025). Innovative Approaches to Task Scheduling in Cloud Computing Environments Using an Advanced Willow Catkin Optimization Algorithm. Computers, Materials & Continua, 82(2).
4. Wei, Y., Watada, J., & Wang, Z. (2025). Topology unveiled: A new horizon for economic and financial modeling. Mathematics, 13(2), 325.
5. Wang, Z., Wang, B., Li, Y., Liu, S., Li, H., & Watada, J. (2024). Cross-modal scenario generation for stock price forecasting using Wasserstein GAN and GCN. Applied Soft Computing, 167, 112342.
6. Sakai, H., Nakata, M., Ślęzak, D., & Watada, J. (2024, May). Consideration of detecting data and functional dependency in tabular data with missing values by the obtained rules. In International Joint Conference on Rough Sets (pp. 120-133). Cham: Springer Nature Switzerland.
7. Aslam, M., Rahim, L. A., Watada, J., Rubab, S., Khan, M. A., AlQahtani, S. A., & Gadekallu, T. R. (2024). Cloud migration framework clustering method for social decision support in modernizing the legacy system. Transactions on Emerging Telecommunications Technologies, 35(4), e4863.
8. Yang, Q., Chu, S. C., Pan, J. S., Chou, J. H., & Watada, J. (2024). Dynamic multi-strategy integrated differential evolution algorithm based on reinforcement learning for optimization problems. Complex & Intelligent Systems, 10(2), 1845-1877.
9. Song, X., Wang, B., Lin, P. C., Ge, G., Yuan, R., & Watada, J. (2024). Scenario-based distributionally robust unit commitment optimization involving cooperative interaction with robots. Information Systems Frontiers, 26(1), 9-23.
10. Usmani, U. A., Happonen, A., & Watada, J. (2024). The digital age: Exploring the intersection of AI/CI and human cognition and social interactions. Procedia Computer Science, 239, 1044-1052.
11. Pan, J. S., Liang, Q., Chu, S. C., Tseng, K. K., & Watada, J. (2023). A multi-strategy surrogate-assisted competitive swarm optimizer for expensive optimization problems. Applied Soft Computing, 147, 110733.
12. Usmani, U. A., Happonen, A., & Watada, J. (2023, October). Advancements in industry 4.0 asset management: Interoperability and cyber security challenges and opportunities. In Proceedings of the future technologies conference (pp. 468-488). Cham: Springer Nature Switzerland.
13. Yue, L., Pan, J. S., Chu, S. C., Chen, S. H., & Watada, J. (2023, October). Gannet optimizer-based clustering scheme for wireless sensor networks. In International Conference on Genetic and Evolutionary Computing (pp. 412-422). Singapore: Springer Nature Singapore.
14. Usmani, U. A., Happonen, A., & Watada, J. (2023, September). Enhancing medical diagnosis through deep learning and machine learning approaches in image analysis. In Intelligent Systems Conference (pp. 449-468). Cham: Springer Nature Switzerland.
15. Usmani, U. A., Happonen, A., & Watada, J. (2023, August). Revolutionizing transportation: Advancements in robot-assisted mobility systems. In International Conference on ICT for Sustainable Development (pp. 603-619). Singapore: Springer Nature Singapore.

Profile Details

https://www.waseda.jp/fsci/gips/other-en/2015/09/08/2108/

https://www.researchgate.net/profile/Junzo-Watada

https://scholar.google.com/citations?user=pU-e-HoAAAAJ&hl=en