Intelligent Systems and Cybersecurity Team (Category A) 智能系统与网络安全团队

Intelligent Systems and Network Security Team (Class A)

The Intelligent Systems and Network Security Team relies on the Automation Engineering Technology Research Center, Advanced Manufacturing Research Institute, Institute of Computational Intelligence and Information Processing, and Institute of Advanced Automation at Henan University of Technology. There are currently 11 teachers, including 2 professors, 2 associate professors, and 7 lecturers, all of whom hold doctoral degrees. In recent years, the team has led and undertaken more than 50 scientific research projects, including national key R&D program projects, national natural science foundation key projects, national natural science foundation general projects, Henan Provincial Department of Education science and technology research key projects, and Henan Provincial key scientific and technological breakthroughs. The team has published over 400 academic papers, including more than 300 indexed by SCI.

The main research directions are as follows:

(1) Integrated network collaborative control of air, space, and earth. Research efficient, secure, and integrated network architecture design methods to support deep integration and collaborative work of multi-dimensional networks in space, sky, and earth; Research intelligent scheduling and optimization methods for network resources to meet communication needs in different application scenarios and improve resource utilization; Design a corresponding control system to achieve comprehensive monitoring and dynamic adjustment of the integrated network of air, space, and earth, and improve network operation efficiency and stability. ‌

(2) Intelligent system construction and optimization decision-making. Explore the application of intelligent algorithms such as machine learning and deep learning in intelligent systems to enhance their autonomous decision-making and learning capabilities; Design effective control strategies to achieve precise control and optimization of intelligent systems, and improve system performance and efficiency; Pay attention to technologies such as big data processing and data mining to support data-driven decision-making and optimization of intelligent systems; Optimize the human-machine interaction interface and interaction mode of intelligent systems to enhance their practicality.

(3) Network security and advanced control technology. Strengthen network security protection, ensure the security and privacy protection capabilities of integrated air, space, and ground networks, intelligent control systems, and other systems in complex and changing environments, ensure stable operation of the system in the face of external threats, and improve system reliability; Design image recognition and target tracking methods, advanced control algorithms such as model predictive control and data-driven control, to ensure the stable operation of the system under network attack behavior.

Team members

Address: Room 31-334, Building 31, Lianhua Street Campus, Henan University of Technology

Information: 18623718852, yanjingjing2009@163.com