Dr. Yiyao Mei | Mathematics | Research Excellence Award

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Dr. Yiyao Mei | Mathematics | Research Excellence Award

Nanjing University of Aeronautics and Astronautics | China

Dr. Yiyao Mei is an emerging scholar in the field of mathematics, specializing in computational and applied mathematics with a strong focus on optimization methods on manifolds. With an academic foundation from Nanjing University of Aeronautics and Astronautics, his research centers on advanced numerical algorithms, particularly in Riemannian optimization and conjugate gradient methods. His notable work on intrinsic scaled Riemannian nonmonotone conjugate gradient methods on the Stiefel manifold highlights his contribution to solving complex mathematical problems with applications in data science, engineering, and machine learning. Dr. Mei demonstrates strong technical proficiency in programming languages such as C, C++, and MATLAB, along with expertise in scientific documentation using LaTeX. His research reflects a balance between theoretical rigor and practical applicability, contributing to the advancement of efficient computational techniques. Through his academic efforts and publications in peer-reviewed journals, he continues to build a promising profile in the global mathematics community, supporting innovation in optimization theory and its interdisciplinary applications.

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Dr. Jin Song | Mathematics | Research Excellence Award

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Dr. Jin Song | Mathematics | Research Excellence Award

University of Chinese Academy of Sciences | China

Dr. Jin Song is a promising mathematician specializing in applied mathematics with a strong interdisciplinary orientation that bridges nonlinear science and artificial intelligence. His research centers on the analysis, simulation, and prediction of complex nonlinear systems, with particular emphasis on nonlinear wave equations and partial differential equations that describe solitons, vortices, rogue waves, and other coherent structures. Dr. Song has developed advanced mathematical and computational frameworks to study the dynamical behavior, stability, and evolution of such systems, combining rigorous mathematical theory with high-level numerical methods. A distinctive aspect of his work is the integration of modern machine learning techniques into mathematical modeling, especially through physics-informed machine learning and neural operator architectures that embed physical constraints directly into data-driven models. This approach enables more accurate, stable, and interpretable solutions to high-dimensional and nonlinear problems. His research also extends to generative modeling for partial differential equations, where he explores how physical structure and integrability can be incorporated as inductive biases to ensure physically consistent solution manifolds. Dr. Song’s work demonstrates both theoretical depth and methodological innovation, contributing to advances in nonlinear dynamics, computational mathematics, and scientific machine learning. In addition to his research contributions, he is actively engaged in academic collaboration, peer review, and knowledge dissemination through seminars and conferences. He possesses strong technical expertise in mathematical analysis, scientific computing, and programming, allowing him to tackle complex interdisciplinary challenges. Dr. Song’s research philosophy emphasizes the unification of mathematics, physics, and artificial intelligence to address fundamental and applied problems in modern science. Through his innovative research direction, interdisciplinary impact, and commitment to mathematical excellence, Dr. Jin Song stands out as a deserving recipient of the Research Excellence Award.

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Zuomao Yan | Mathematics | Best Researcher Award

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Prof. Dr. Zuomao Yan | Mathematics | Best Researcher Award

Zuomao Yan is a Professor of Mathematics at Hexi University, Zhangye, China. He holds advanced degrees from Northwest Normal University and a PhD from Lanzhou University. His research focuses on control theory, abstract partial and stochastic differential equations, hemivariational inequalities, and controlled systems. He also serves as a commentator for Mathematical Reviews and Zentralblatt MATH, contributing to the global mathematical community.

Prof. Dr. Zuomao Yan | Hexi University | China

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SCOPUS ID

🎓Education

  • Zuomao Yan pursued his advanced education in mathematics at reputable institutions in China. He obtained both his Master of Science and Master of Philosophy degrees from Northwest Normal University in Lanzhou, where he laid a strong theoretical foundation in mathematical analysis and applied mathematics. He later earned his Doctorate in Mathematics from Lanzhou University, a key milestone that further deepened his expertise in mathematical modeling and differential equations.

👨‍🏫 Experience

  • Zuomao Yan is currently serving as a Professor in the Department of Mathematics at Hexi University in Zhangye, China. Throughout his academic career, he has been dedicated to teaching, mentoring students, and leading research projects. His work bridges both theoretical and applied mathematics, particularly in the fields of control systems and differential equations. His position as a professor underscores his commitment to advancing mathematical understanding and contributing to the academic growth of his institution.

🤝 Awards and Recognition

  • As an established researcher and scholar, Zuomao Yan has gained recognition within the mathematical community. He serves as a commentator for Mathematical Reviews and Zentralblatt MATH, two prominent international journals that highlight significant contributions to mathematical literature. His selection for these roles reflects the trust placed in his analytical judgment and subject matter expertise.

💡Skills and Certifications

  • He possesses deep analytical skills in both deterministic and stochastic systems. His strengths lie in mathematical modeling, problem-solving, and the formulation of complex systems governed by differential equations. His interdisciplinary approach allows him to apply rigorous theoretical methods to practical challenges in engineering and applied sciences.

🔬 Research Focus

  • Zuomao Yan’s research is centered on control theory and the theory of abstract partial differential equations. He has a particular interest in abstract partial stochastic differential equations, where randomness is incorporated into differential systems. His work also encompasses hemivariational inequalities and controlled systems, demonstrating a comprehensive approach to addressing real-world problems through mathematical modeling and system control frameworks.

🌎Conclusion

  • Zuomao Yan stands out as a committed academic and researcher in the field of mathematics. His combination of theoretical knowledge, practical application, and scholarly activity has contributed significantly to the advancement of control theory and differential equations. As a mentor, author, and reviewer, he continues to shape the future of mathematical research and education.

📖Publications

  • Title: Approximate Optimal Control of Fractional Stochastic Hemivariational Inequalities of Order (1, 2] Driven by Rosenblatt Process
    Authors: Zuomao Yan
    Journal: Fractional Calculus and Applied Analysis

  • Title: Approximate Optimal Control of Fractional Impulsive Partial Stochastic Differential Inclusions Driven by Rosenblatt Process
    Authors: Zuomao Yan
    Journal: Applied Mathematics and Optimization

  • Title: Sensitivity Analysis for a Fractional Stochastic Differential Equation with Sp-Weighted Pseudo Almost Periodic Coefficients and Infinite Delay
    Authors: Zuomao Yan
    Journal: Fractional Calculus and Applied Analysis

  • Title: Time Optimal Control to a Partial Stochastic Differential System with Pseudo Almost Periodic Coefficients
    Authors: Zuomao Yan
    Journal: International Journal of Control

  • Title: Global Stability of Traveling Waves with Non-Monotonicity for Population Dynamics Model
    Authors: Zuomao Yan
    Journal: Tokyo Journal of Mathematics

Jicheng Yu | Mathematics | Best Researcher Award

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Dr. Jicheng Yu | Mathematics | Best Researcher Award

Potential for Future Impact:

  • Given his ongoing work and expertise, Yu is well-positioned to make further contributions to the fields of fractional calculus, symmetry analysis, and mathematical applications in diverse areas. His future projects are likely to continue expanding his influence in both theoretical research and practical engineering applications.
Dr. Jicheng Yu, Wuhan University of Science and Technology, China

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🌱EARLY ACADEMIC PURSUITS

  • Jicheng Yu, currently affiliated with Wuhan University of Science and Technology, laid the foundation of his academic journey with a focus on mathematics and theoretical physics, particularly in the application of fractional differential equations and their implications across various fields. His foundational studies and early publications in these areas enabled him to quickly establish a foothold in the realms of mathematical and theoretical analysis.

💼PROFESSIONAL ENDEAVORS

  • As a professional academic and researcher, Yu has contributed extensively to mathematics and applied physics through various roles, including as a peer reviewer for numerous reputable journals. His Web of Science ResearcherID (AAW-4394-2021) and ORCiD profile (0000-0001-6125-263X) reflect his active engagement in the academic community, where he consistently collaborates and reviews groundbreaking work.

🔬CONTRIBUTIONS AND RESEARCH FOCUS 

  • Yu’s research emphasizes Lie symmetry analysis, exact solutions, and conservation laws of fractional partial differential equations. His publications cover advanced topics such as time-fractional Black-Scholes equations, Boussinesq-Burgers systems, and reaction-diffusion equations. These studies have application potential in areas like financial mathematics, fluid dynamics, and quantum optics, offering new methods for understanding and solving complex differential equations in these fields.

📚ACADEMIC CITES 

  • Yu’s research has garnered 48 citations, reflecting his influence and recognition within the academic community. His contributions are well-regarded in mathematical physics and applied mathematics, with his work on the fractional Black-Scholes and reaction-diffusion equations cited frequently, showcasing his expertise in these advanced topics.

🌍IMPACT AND INFLUENCE

  • With an H-index of 5 and a total of 48 citations, Yu’s work has been recognized in the scientific community as a valuable contribution to mathematics, physics, and engineering. His influence is growing, particularly through publications in journals such as Chaos, Solitons & Fractals, Journal of Applied Analysis, and International Journal of Financial Engineering. His work is particularly notable for its applicability in theoretical research and real-world engineering problems.

🌟LEGACY AND FUTURE AND CONTRIBUTIONS

  • Jicheng Yu’s ongoing work and future projects are likely to continue impacting mathematics, physics, and engineering communities. With a robust publication record and ongoing involvement in peer-reviewed research, his future contributions will likely advance understanding in fractional calculus, symmetry analysis, and mathematical applications in diverse fields. His commitment to academic excellence positions him as a valuable thought leader, inspiring future research and collaboration.

📄Publications

  • (2+1)-dimensional Burgers equation with a Caputo fractional derivative: Lie symmetry analysis, optimal system, exact solutions and conservation laws
    • Authors: Shi, Y., Feng, Y., Yu, J., Jiang, J.
    • Journal: Chinese Journal of Physics, 2024, 92, pp. 1121–1132
  • Lie symmetries, exact solutions and conservation laws of time fractional Boussinesq-Burgers system in ocean waves
    • Authors: Yu, J., Feng, Y.
    • Journal: Communications in Theoretical Physics, 2024, 76(12), 125002
  • Symmetry analysis, exact solutions and conservation laws of time fractional Caudrey–Dodd–Gibbon equation
    • Authors: Yu, J., Feng, Y.
    • Journal: Examples and Counterexamples, 2024, 6, 100166 (Open Access)
  • Lie Symmetry Analysis, Power Series Solutions and Conservation Laws of (2+1)-Dimensional Time Fractional Modified Bogoyavlenskii–Schiff Equations
    • Authors: Yu, J., Feng, Y.
    • Journal: Journal of Nonlinear Mathematical Physics, 2024, 31(1), 27
  • Group classification of time fractional Black-Scholes equation with time-dependent coefficients
    • Authors: Yu, J., Feng, Y.
    • Journal: Fractional Calculus and Applied Analysis, 2024, 27(5), pp. 2335–2358