Yonggui Kao is a distinguished professor in the Department of Mathematics at the School of Science, Harbin Institute of Technology at Weihai, China. With a strong academic and professional background in applied mathematics, he has made significant contributions to the study of differential equations, control theory, and their applications to various fields, including neural networks, robotics, and autonomous systems. His expertise extends to stochastic systems, stability analysis, and fractional-order dynamics. Known for his dedication to both teaching and research, Kao has been recognized for his exceptional ability to mentor students and his innovative approach to mathematical applications.

Profile

Scopus

Education

Yonggui Kao pursued his academic journey at some of China’s most prestigious institutions. He completed his Ph.D. in 2008 from the School of Information Science and Engineering at Ocean University of China in Qingdao. Prior to that, he earned his Master’s degree in Mathematics from the same university in 2005. His educational path began with a Bachelor’s degree in Economic Management from Beijing Jiaotong University and continued at Yantai Normal University, where he completed another Bachelor’s degree in Mathematics Science. His diverse academic foundation reflects his broad perspective and ability to tackle complex interdisciplinary problems in mathematics and its applications.

Experience

Professor Kao’s academic career spans over two decades, with significant roles at Harbin Institute of Technology at Weihai, where he has contributed extensively to the development of both undergraduate and graduate programs. He has served as a professor since 2016, after holding positions as an associate professor and assistant professor. Kao has been a dedicated supervisor for both Master’s and Doctoral students, guiding numerous research projects in the field of mathematics and applied systems. In addition to his academic roles, he has worked as a professional translator and project manager, a role that allowed him to hone his communication skills and apply his knowledge of technical language in various industries. Kao’s experience as a reviewer and expert for national academic and funding institutions further highlights his standing in the academic community.

Research Interests

Yonggui Kao’s research is primarily focused on differential equations and their applications in various fields. He works extensively on reaction-diffusion stochastic equations, particularly those with Markov switching, which are often used in mathematical biology and neural network theory. His work also delves into control theory, with a focus on its application to autonomous systems, distributed parameter systems, fault-tolerant systems, and robotics. Kao’s research is highly interdisciplinary, addressing challenges in nonlinear systems, multi-rotor control, and networked control systems, among others. His exploration of topics like robust adaptive control, predictive control, and stability theory reflects a commitment to advancing both theoretical understanding and practical applications.

Awards

Professor Kao’s contributions to research have been recognized with several prestigious awards. In 2020, he received the Shandong Province Prize for Natural Science Progress (Level 2) from the Shandong Renmin Government. Earlier in his career, he was honored with the Qingdao City Second Prize for Natural Science Progress in 2008 and the Third Prize for Excellent Research Results at Shandong Common Universities in 2007. Other accolades include the YinZhu Prize of Harbin Institute of Technology at Weihai (2012) and multiple student awards during his time at Ocean University of China. These recognitions underscore his outstanding academic achievements and dedication to scientific advancement.

Publications

Yonggui Kao has published extensively in the field of applied mathematics, contributing to numerous journals and books. Some of his notable works include:

Kao YG, Li H, Liu Y, Xia H, Wang C. “Global Stability of Fractional Nonlinear Differential Systems with State-Dependent Delayed Impulses.” IEEE Transactions on Neural Networks and Learning Systems, 35(11): 16960-16965, 2024.

Kao YG, Cao Y, Chen YQ. “Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme.” IEEE Transactions on Neural Networks and Learning Systems, 2023.

Kao YG, Han YQ, Zhu Y, Shu Z. “Stability Analysis of Delayed Discrete Singular Piecewise Homogeneous Markovian Jump Systems With Unknown Transition Probabilities via Sliding-Mode Approach.” IEEE Transactions on Automatic Control, 69(1), 2024.

Kao YG, Ma S, Xia H, Wang C, Liu Y. “Integral Sliding Mode Control for a Kind of Impulsive Uncertain Reaction-Diffusion Systems.” IEEE Transactions on Automatic Control, 68(2): 1154-1160, 2023.

Kao YG, Liu XA, Song M, Zhao L, Zhang Q. “Nonfragile-Observer-Based Integral Sliding Mode Control for a Class of Uncertain Switched Hyperbolic Systems.” IEEE Transactions on Automatic Control, 68(8): 5059-5066, 2023.

Kao YG, Cao Y, Chen XY. “Global Mittag-Leffler Synchronization of Coupled Delayed Fractional Reaction-Diffusion Cohen-Grossberg Neural Networks via Sliding Mode Control.” Chaos, 32(11), 2022.

Kao YG, Liu Y, Ma S, Wang C. “Sliding Mode Control for Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks with Time Delays.” Neural Networks, Vol. 178, 2024.

These works have contributed significantly to the understanding of complex systems and have been widely cited by peers in the field.

Conclusion

Professor Yonggui Kao is a highly respected figure in the field of applied mathematics, particularly in the study of differential equations and control systems. With a career marked by academic excellence and significant contributions to research, Kao has demonstrated a rare ability to bridge the gap between theory and practical application. His work continues to inspire future generations of mathematicians and engineers, and his dedication to both teaching and research remains unwavering. As a mentor, researcher, and educator, Kao’s influence in the mathematical sciences is profound, and his continued work promises to shape the future of applied mathematics for years to come.