Shougui Zhang | High Performance Computing | Best Researcher Award

Prof. Dr. Shougui Zhang | High Performance Computing | Best Researcher Award

Teacher |Chongqing Normal University| China

Prof. Dr. Shougui Zhang is a distinguished scholar whose academic contributions focus primarily on computational mathematics, particularly in the field of numerical analysis and applied mathematics. His extensive research explores the numerical solution of partial differential equations (PDEs), an area that forms the foundation of many scientific and engineering applications. Zhang has made notable progress in the development and refinement of boundary element methods, which are efficient numerical techniques for solving boundary value problems that arise in physics and engineering disciplines such as fluid dynamics, elasticity, and electromagnetism. His work emphasizes mathematical rigor combined with computational efficiency, aiming to provide stable and accurate algorithms for complex real-world systems. A major aspect of his research involves variational inequalities, where he investigates computational methods for handling inequality constraints that frequently appear in optimization, contact mechanics, and obstacle problems. Zhang’s studies in this area contribute to bridging theoretical mathematical formulations with practical computational tools, enabling more precise simulations and analyses of nonlinear and constrained physical systems. His contributions extend beyond methodological innovation, influencing the design of advanced algorithms that improve the performance of numerical solvers and support the development of scientific computing frameworks. Over the years, he has published numerous research papers in recognized journals, reflecting a strong engagement with the global mathematical community. His interdisciplinary approach, combining mathematical theory, numerical techniques, and computational experimentation, enhances the understanding and application of PDE-based models across diverse domains. Zhang’s ongoing investigations into computational variational inequalities mark an important direction in applied mathematics, where numerical precision and computational feasibility must coexist. His research continues to play a key role in advancing the field of computational mathematics, fostering collaborations and innovative applications in scientific and engineering contexts. He has achieved 362 citations, authored 33 documents, and holds an h-index of 11.

Profiles: Scopus | ORCID
Featured Publication

Author(s). (2025). A self-adaptive alternating direction multiplier method for variational inequality in 2 domains. Applied Mathematics and Mechanics.

Author(s). (2025). Analysis of a Crank–Nicolson fast element-free Galerkin method for the nonlinear complex Ginzburg–Landau equation. Journal of Computational and Applied Mathematics. 7 Citations.

Author(s). (2024). Self-adaptive alternating direction method of multiplier for a fourth order variational inequality. Journal of Inequalities and Applications.