Md Rasel Ahmed | Applied Mathematics | Best Researcher Award

Published on by Global Academic Awards

Mr. Md Rasel Ahmed | Applied Mathematics | Best Researcher Award

Uttara University | Bangladesh

Mr. Md Rasel Ahmed is an emerging researcher in applied mathematics with a growing academic footprint in numerical simulation, mathematical modeling, and differential equation–based analysis. His primary research focuses on multilane traffic flow modeling, where he has contributed a Q2 Elsevier-indexed journal article on exponential velocity–density–based macroscopic traffic models, demonstrating strong analytical and computational expertise. He has also expanded his work into epidemiological modeling, with an accepted publication that investigates the spread of COVID-19 in Bangladesh using the classical SIR model. His research experience includes developing algorithms for transportation problems and conducting advanced numerical simulations for real-world systems. He actively presents his work at international conferences and mathematical workshops, showcasing his commitment to academic dissemination and interdisciplinary modeling. Professionally, he contributes to academia as a university mathematics lecturer and maintains strong engagement in academic communities through presentations, leadership roles, and volunteer activities. Overall, he represents a promising early-career researcher with clear potential for impactful contributions in applied mathematics and computational modeling.

Profile: Orcid

Featured Publications

Ahmed, M. R., Joydhar, B., Andallah, M. L. S., Biswas, P., & Ferdous, J. (2025). Numerical simulation of multilane traffic flow model based on exponential velocity-density function. Partial Differential Equations in Applied Mathematics, 4, 101323.

Luoyi Shi | Mathematics | Best Researcher Award

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Prof. Luoyi Shi | Mathematics | Best Researcher Award

Tiangong University | China

Prof. Luoyi Shi is a distinguished mathematician and academic leader with a Ph.D. from Jilin University, currently serving as Professor and Dean of the School of Software at Tiangong University, as well as Vice President of the Tianjin Mathematics Society and Dean of the Hedong District Tianjin Innovative Data Industry Research Institute. With extensive experience in operator algebras, Hilbert space problems, and computational mathematics, he has contributed significantly to applied mathematics and optimization theory. Prof. Shi has led multiple research projects funded by the National Natural Science Foundation of China, focusing on amenability and properties of non self-adjoint operator algebras. His prolific publication record includes 53 high-quality journal articles, with 266 citations and an h-index of 10, reflecting his scholarly impact and international recognition. His research emphasizes iterative algorithms, split equality problems, and convergence analysis, demonstrating both theoretical rigor and practical relevance.

Profile: Scopus |Orcid

Featured Publications

Cao, Y., Peng, Y., Chen, Y., & Shi, L. (2025). Several relaxed CQ-algorithms for the split feasibility problem with multiple output sets. Journal of Applied Mathematics and Computing.

Tong, X., Ling, T., & Shi, L. (2024). Self-adaptive relaxed CQ algorithms for solving split feasibility problem with multiple output sets. Journal of Applied Mathematics and Computing.

Ling, T., Tong, X., & Shi, L. (2023). Two general splitting methods with alternated inertia for solving split equality problem in Hilbert spaces. Computational and Applied Mathematics.

Ling, T., Tong, X., & Shi, L. (2023). Modified relaxed CQ methods for the split feasibility problems in Hilbert spaces with applications. Journal of Applied Mathematics and Computing.

Xu, T., & Shi, L. (2021). Multiple-sets split feasibility problem and split equality fixed point problem for firmly quasi-nonexpansive or nonexpansive mappings. Journal of Inequalities and Applications.

Feifei Jing | Computational Mathematics | Best Researcher Award

Published on by Global Academic Awards

Assoc. Prof. Dr. Feifei Jing | Computational Mathematics | Best Researcher Award

Assoc. Prof. Dr. Feifei Jing | Northwestern Polytechnical University | China

Assoc. Prof. Dr. Feifei Jing is a dedicated scholar in the field of mathematics, specializing in numerical analysis and finite element methods, with a strong academic journey beginning with a bachelor’s degree from Henan University, followed by a master’s and doctorate from Xi’an Jiaotong University. She has been serving at Northwestern Polytechnical University, where she has made significant contributions to research and teaching. Her work focuses on advanced numerical methods for solving complex mathematical problems, particularly in fluid dynamics, variational inequalities, and biomedical flow models. Dr. Jing has published extensively in internationally recognized journals, including Numerische Mathematik, BIT Numerical Mathematics, Applied Numerical Mathematics, Journal of Scientific Computing, and Journal of Computational and Applied Mathematics. Her research advances both the theoretical foundations and practical applications of mathematics, with a notable emphasis on Navier-Stokes equations and discontinuous Galerkin methods, establishing her as a promising and impactful researcher in her field.

Publication Profile

Scopus

Educational Background

Assoc. Prof. Dr. Feifei Jing has pursued a comprehensive academic journey in the field of mathematics, marked by dedication and scholarly excellence. She began her higher education at Henan University, where she laid a strong foundation in mathematics through her bachelor’s studies. Building upon this base, she continued her academic advancement at Xi’an Jiaotong University, where she earned her master’s degree in mathematics, further deepening her knowledge and research skills in the discipline. With a strong passion for research and academic growth, she remained at Xi’an Jiaotong University to pursue her doctoral studies in mathematics, where she specialized in advanced areas of numerical analysis and finite element methods. Her doctoral training equipped her with the expertise to address complex mathematical challenges and contributed significantly to her professional development. This well-rounded educational pathway has played a pivotal role in shaping her career as a researcher and academic leader in applied mathematics.

Work Experience

Assoc. Prof. Dr. Feifei Jing has been serving at Northwestern Polytechnical University since March 2018, where she has established herself as a committed academic and researcher in the School of Mathematics and Statistics. In her role, she has contributed significantly to both teaching and research, inspiring students through her expertise in numerical analysis and finite element methods while also mentoring young scholars to develop their academic potential. Her research focuses on tackling advanced mathematical challenges with practical applications in fluid dynamics, variational inequalities, and biomedical modeling. Through her position, she has actively participated in academic collaborations, interdisciplinary projects, and scholarly publishing in high-impact journals, which has strengthened the university’s reputation in applied mathematics research. Her dedication to advancing knowledge and nurturing future mathematicians underscores her influential role at Northwestern Polytechnical University, making her a vital contributor to both the academic community and the broader field of computational mathematics.

Research Focus

Assoc. Prof. Dr. Feifei Jing’s research focus lies in the field of applied mathematics, particularly in numerical analysis and computational methods for solving complex mathematical models. Her work emphasizes the development and analysis of finite element methods, discontinuous Galerkin methods, and stabilized schemes for addressing challenging problems in fluid dynamics, variational inequalities, and porous media flow. Recent studies highlight her contributions to hemivariational inequalities in coupled fluid flow and advanced methods for the Biot-Brinkman model, showcasing her expertise in mathematical modeling of real-world physical phenomena. By bridging theoretical analysis with practical applications, her research provides robust solutions for nonlinear equations and stability challenges in computational mathematics. This focus not only advances the mathematical understanding of fluid-structure interactions and biomedical flows but also contributes to engineering and scientific fields where accurate simulations are essential, positioning her work at the intersection of pure mathematics, applied sciences, and computational engineering.

Publication Top Notes

The numerical methods for the coupled fluid flow under the leak interface condition of the friction-type
Year: 2023

Stabilized low-order mixed finite element methods for a Navier-Stokes hemivariational inequality
Year: 2023

Discontinuous Galerkin method for the diffusive-viscous wave equation
Year: 2023

Mixed finite element method for a hemivariational inequality of stationary Navier-Stokes equations
Year: 2021

Numerical analysis of the unconditionally stable discontinuous Galerkin schemes for the nonstationary conduction-convection problem
Year: 2020

Analysis of an a posteriori error estimator for a variational inequality governed by the Stokes equations
Year: 2020

Conclusion

With her rigorous academic background, impactful publications, and expertise in numerical analysis, Dr. Feifei Jing is a strong candidate for the Research for Best Researcher Award. Continued expansion of her global collaborations and citation impact will further consolidate her reputation as a leading researcher in applied mathematics and computational sciences.