Xiangliang Xu | Nonlinear dynamical system | Best Researcher Award

Dr.Xiangliang Xu | Nonlinear dynamical system | Best Researcher Award

None, University of Electronic Science and Technology , China

Xiangliang Xu is currently a faculty member at the University of Electronic Science and Technology of China. He is known for his extensive research in chaotic systems, memristor models, encryption algorithms, and nonlinear dynamics. Xu has made significant contributions to the study of chaotic systems, specifically in the development of chaotic models and their applications in fields like cryptography and secure communication. He holds an ORCID of 0000-0002-7675-113X and his research has been widely recognized, with his publications cited extensively across various high-impact journals. Xu’s work often involves the integration of advanced mathematical techniques and chaos theory to address challenges in system security and signal processing.

Profile

Orcid

Education

Β Xiangliang Xu completed his advanced studies at the University of Electronic Science and Technology of China. While his undergraduate studies focused on electrical engineering, his graduate work deepened into nonlinear dynamics, complex systems, and chaotic behavior in physical systems. He obtained his PhD in a field closely related to chaos theory and applied mathematics, where he worked on novel methods for simulating and analyzing chaotic systems. His academic journey has been marked by significant research outputs, collaborations with experts in chaos theory, and contributions to the development of memristor-based systems for encryption. Throughout his education and career, Xu has built a solid foundation in mathematical modeling, system dynamics, and the practical application of chaos-based methods in real-world technology, including secure communications and cryptography.

Research FocusΒ 

Xiangliang Xu’s research focuses on chaotic systems, encryption algorithms, memristors, and nonlinear dynamics. His work explores the design and analysis of chaotic models, especially those based on memristor components, which can be applied to encryption and secure communication systems. His interest spans the creation of new memristor-based chaotic systems and their application in areas like audio and image encryption, with a focus on enhancing system security. Xu has also worked on novel approaches for dynamic analysis of fractional-order and multi-dimensional chaotic systems. His research incorporates mathematical methods to model complex systems and investigate their properties, particularly in cryptography. By studying multi-scroll, multi-wing, and hyperchaotic systems, Xu aims to improve the performance and robustness of encryption methods. Additionally, his research addresses theoretical aspects of memristor behavior and its integration into chaotic systems, contributing to advancements in secure information transmission.

Publications

  1. Audio Encryption Algorithm Based on Chen Memristor Chaotic System πŸŽ΅πŸ”
  2. Image Encryption Algorithm Based on Coexisting Multi-attractors in a Spherical Chaotic System πŸ–ΌοΈπŸ”
  3. A Generic Voltage-Controlled Discrete Memristor Model and Its Application in Chaotic Map πŸ”ŒπŸŒ€
  4. Multi-direction Chain and Grid Chaotic System Based on Julia Fractal πŸ”ΆπŸŒ€
  5. A General Method for Generating Multi-scroll and Multi-wing Chaotic Systems and Its Implementation of Attractor Reproduction πŸ”„πŸŒ€
  6. Solution and Dynamics Analysis of Fractal-fractional Multi-scroll Chen Chaotic System πŸ“ŠπŸ”
  7. Multi-directional Annular Multi-wing Chaotic System Based on Julia Fractals πŸ”΅πŸŒ€
  8. Two Modified Chaotic Maps Based on Discrete Memristor Model πŸ”’πŸ”Œ
  9. Design of a New Dimension-Changeable Hyperchaotic Model Based on Discrete Memristor πŸ”²πŸŒ€
  10. Image Encryption Algorithm Based on a Novel Wide-Range Discrete Hyperchaotic Map πŸ–ΌοΈπŸŒ€
  11. A Compressive Sensing Encryption Scheme for Dual Color Images Based on Discrete Memristor Map and Rubik’s Cube Scramble πŸŽ¨πŸ”’
  12. Modeling and Dynamic Analysis of a Novel Seven-dimensional Hamilton Conservative Hyperchaotic System πŸ”’πŸŒ€
  13. Multistable Dynamics and Attractors Self-reproducing in a New Hyperchaotic Complex LΓΌ System πŸŒ€πŸ”„
  14. Enhancing Traceability Link Recovery with Fine-Grained Query Expansion Analysis πŸ”πŸ”—
  15. Chaos-based Coverage Path Planning Framework for Mobile Robots πŸ€–πŸŒ€