Lecturer, Shandong university, Chinaπ§¬
Xiao-Zhen Liu is a dedicated researcher and lecturer in the field of control theory and applied mathematics, specializing in the stability and control of complex dynamical systems. Currently serving as a lecturer at Shandong University (Weihai), China, he has made significant contributions to the study of stochastic partial differential systems, fractional-order systems, boundary control, and discontinuous control. His research has led to numerous high-impact publications and recognition in the academic community. With international experience, including a visiting scholar position at Korea University, he continues to explore innovative methods for controlling and stabilizing complex systems.
Profile
Scopus
Education π
Xiao-Zhen Liu pursued his academic journey at the prestigious Harbin Institute of Technology. He earned his Bachelorβs degree (2011-2015) from its Weihai campus, followed by a Masterβs degree (2015-2017) and a Doctorate (2017-2021) from the main campus in China. His Ph.D. research focused on the stabilization and control of reaction-diffusion systems, contributing significantly to the field of control engineering. Additionally, he expanded his academic exposure as a visiting scholar at Korea University (2020-2021), enhancing his expertise in boundary control and fractional-order systems.
Experience π«
Dr. Liu has been serving as a Lecturer at Shandong University (Weihai), China, since February 2022. His work primarily revolves around research in control theory, stochastic systems, and fractional-order differential equations. His expertise includes intermittent boundary control, stabilization of neural networks, and stochastic reaction-diffusion systems. With a strong background in theoretical and applied mathematics, he actively collaborates on national and international research projects, contributing to advancements in control and dynamical systems.
Research Interests π¬
Dr. Liu’s research focuses on the stability and control of complex dynamical systems, with a particular emphasis on (stochastic) partial differential systems, fractional-order systems, boundary control, and discontinuous control. His work explores advanced mathematical techniques to ensure the stability and robustness of various dynamical models, addressing challenges in both theoretical and applied settings. By developing innovative control strategies, he enhances the reliability of engineering systems, neural networks, and reaction-diffusion models. His contributions play a crucial role in optimizing system performance and stability, significantly impacting fields such as control engineering, applied mathematics, and computational sciences.
Awards π
Dr. Liu has been recognized for his outstanding research contributions through multiple Shandong Natural Science Foundation projects. In 2024, he was awarded the prestigious Chair Grant (ZR2023QF062) for his work on advanced control strategies. His active participation in numerous National and Provincial Natural Science Foundation projects highlights his role as a leading researcher in mathematical control theory.
Publications π
Exponential stabilization of reaction-diffusion systems via intermittent boundary control π IEEE Transactions on Automatic Control, 2022.
Read Here π Cited by: 50+
Intermittent boundary control for synchronization of fractional delay neural networks with diffusion terms π IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.
Read Here π Cited by: 30+
Boundary stabilization of stochastic delayed Cohen-Grossberg neural networks with diffusion terms π IEEE Transactions on Neural Networks and Learning Systems, 2022.
Read Here π Cited by: 40+
Intermittent boundary stabilization of stochastic reaction-diffusion Cohen-Grossberg neural networks π Neural Networks, 2020.
Read Here π Cited by: 45+
Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks π Neural Networks, 2020.
Read Here π Cited by: 35+
Conclusion
Dr. Xiao-Zhen Liu’s contributions to control theory and mathematical modeling make him a strong candidate for the Best Researcher Award. His prolific research output, project involvement, and international collaborations showcase his dedication to advancing the field. With further expansion of independent research leadership and mentorship, he could position himself as a leading figure in his domain.