Published on 08/10/202508/10/2025 by World Top Scientists Prof. Dr. Zhen Li | Reliability and Systems Engineering | Best Researcher Award Leader | Jiangsu University of Science and Technology | China Prof. Dr. Zhen Li is an accomplished researcher and academic with extensive expertise in aerospace systems engineering, signal processing, and formal verification of software safety. He completed his higher education in business management, signal and information processing, and aerospace systems, culminating in a Ph.D. from a prestigious university. Over his career, he has held academic positions ranging from lecturer to professor, demonstrating consistent dedication to teaching and research. He has led research groups, authored a notable book, and published numerous papers in high-impact journals, with his work receiving significant citations. Prof. Li has also contributed to professional societies, including IEEE and the Chinese Artificial Intelligence Society, and has been recognized with national-level awards for his research excellence. His international collaborations and leadership roles highlight his influence in advancing research in engineering and artificial intelligence. With a strong record of innovation and mentorship, he continues to show great potential for future high-impact contributions. Profiles: ORCID Featured Publications 1. Li, Z., Tian, L., Sun, C., Wu, Y., Wang, D., & Miao, H. (2022). A systematic research on system recovery based on improved genetic algorithm and quotient resilience model under attack and damage. International Journal of Computational Intelligence Systems. 2. Liu, Y., Li, Z., Wang, D., Miao, H., & Wang, Z. (2021). Software defects prediction based on hybrid particle swarm optimization and sparrow search algorithm. IEEE Access. 3. Wu, Y., Li, Z., Sun, C., Wang, D., Zhao, B., & Yu, Z. (2021). Measurement and control of system resilience recovery by path planning based on improved genetic algorithm. Measurement and Control. 4. Li, Z. (2021). Safety ontology modeling and verification on MIS of ship-building and repairing enterprise. KSII Transactions on Internet and Information Systems. 5. Li, Z., Li, T., Wu, Y., Liu, Y., Miao, H., Wang, D., & Precup, R.-E. (2021). Software defect prediction based on hybrid swarm intelligence and deep learning. Computational Intelligence and Neuroscience. Zhen Li | Reliability and Systems Engineering | Best Researcher Award
Prof. Dr. Zhen Li is an accomplished researcher and academic with extensive expertise in aerospace systems engineering, signal processing, and formal verification of software safety. He completed his higher education in business management, signal and information processing, and aerospace systems, culminating in a Ph.D. from a prestigious university. Over his career, he has held academic positions ranging from lecturer to professor, demonstrating consistent dedication to teaching and research. He has led research groups, authored a notable book, and published numerous papers in high-impact journals, with his work receiving significant citations. Prof. Li has also contributed to professional societies, including IEEE and the Chinese Artificial Intelligence Society, and has been recognized with national-level awards for his research excellence. His international collaborations and leadership roles highlight his influence in advancing research in engineering and artificial intelligence. With a strong record of innovation and mentorship, he continues to show great potential for future high-impact contributions. Profiles: ORCID Featured Publications 1. Li, Z., Tian, L., Sun, C., Wu, Y., Wang, D., & Miao, H. (2022). A systematic research on system recovery based on improved genetic algorithm and quotient resilience model under attack and damage. International Journal of Computational Intelligence Systems. 2. Liu, Y., Li, Z., Wang, D., Miao, H., & Wang, Z. (2021). Software defects prediction based on hybrid particle swarm optimization and sparrow search algorithm. IEEE Access. 3. Wu, Y., Li, Z., Sun, C., Wang, D., Zhao, B., & Yu, Z. (2021). Measurement and control of system resilience recovery by path planning based on improved genetic algorithm. Measurement and Control. 4. Li, Z. (2021). Safety ontology modeling and verification on MIS of ship-building and repairing enterprise. KSII Transactions on Internet and Information Systems. 5. Li, Z., Li, T., Wu, Y., Liu, Y., Miao, H., Wang, D., & Precup, R.-E. (2021). Software defect prediction based on hybrid swarm intelligence and deep learning. Computational Intelligence and Neuroscience.