Assist. Prof. Dr. Lotfi Jlali | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Lotfi Jlali | Mathematics | Best Researcher Award

Imam Mohammad Ibn Saud Islamic University | Tunisia

Dr. Lotfi Mohamed Alhosine Jlali is an accomplished Tunisian mathematician and Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. His research primarily focuses on Partial Differential Equations (PDEs) and Nonlinear Analysis, with particular expertise in the mathematical modeling of fluid dynamics, including the Navier–Stokes, Euler, and Magnetohydrodynamic (MHD) systems. Dr. Jlali’s work delves into the local and global existence, uniqueness, and regularity of solutions for incompressible fluid equations, as well as the asymptotic behavior of problems influenced by small or large parameters, such as rotating and anisotropic fluid systems. His studies also address the blow-up criteria for non-regular solutions and the stability of global solutions, applying advanced mathematical tools like Strichartz inequalities, energy estimates, and Sobolev embeddings. Dr. Jlali has made significant contributions to understanding the long-term dynamics of fluid equations, particularly in Sobolev–Gevrey and Fourier–Lei–Lin spaces. His research output includes 13 indexed publications with 51 citations in Scopus (h-index: 4) and 85 citations on Google Scholar (h-index: 5, i10-index: 3), reflecting the growing impact of his work in mathematical fluid mechanics.

Profile

Scopus | ORCID | Google Scholar

Featured Publications:

Benameur, J., & Jlali, L. (2016). Long time decay for 3D Navier-Stokes equations in Sobolev-Gevrey spaces. Electronic Journal of Differential Equations.

Benameur, J., & Jlali, L. (2016). On the blow-up criterion of 3D-NSE in Sobolev–Gevrey spaces. Journal of Mathematical Fluid Mechanics.

Jlali, L. (2017). Global well posedness of 3D-NSE in Fourier–Lei–Lin spaces. Mathematical Methods in the Applied Sciences.

Benameur, J., & Jlali, L. (2020). Long time decay of 3D-NSE in Lei-Lin-Gevrey spaces. Mathematica Slovaca.

Jlali, L., & Benameur, J. (2024). Long time decay of incompressible convective Brinkman-Forchheimer in L2(R3). Demonstratio Mathematica.

Dr. Jan Muhammad | Mathematics | Best Researcher Award

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Dr. Jan Muhammad | Mathematics | Best Researcher Award

Shanghai University | China

Dr. Jan Muhammad is a distinguished mathematician and postdoctoral researcher specializing in nonlinear partial differential equations (PDEs), soliton theory, and mathematical physics. His research primarily focuses on analytical and semi-analytical approaches for exploring nonlinear dynamical systems, fractional calculus, and optical wave propagation in applied mathematics and engineering contexts. With over 50 peer-reviewed publications in prestigious international journals, Dr. Muhammad has significantly contributed to advancing the theoretical and applied aspects of nonlinear PDEs and fractional models. His studies often explore the mathematical structures governing complex fluid mechanics, magnetohydrodynamics, and fractional optical systems, offering new insights into the behavior of nonlinear waves, stability, and multistability phenomena. His scholarly impact is reflected by 294 Scopus citations across 149 documents with an h-index of 11, showcasing the depth and reach of his contributions. His work is also widely recognized on Google Scholar, emphasizing his growing influence within the global mathematical community. Dr. Muhammad’s ongoing research bridges mathematical theory with real-world physical systems, demonstrating excellence in mathematical modeling, analytical methods, and interdisciplinary applications.

Profile

Scopus

Featured Publications

Muhammad, J., Fang, L., & Guo, Z. (2020). Global weak solutions to a class of compressible non-Newtonian fluids with vacuum. Mathematical Methods in the Applied Sciences, 43, 5234–5249.

Zhu, H., Fang, L., Muhammad, J., & Guo, Z. (2020). Global weak solutions to a Vlasov–Fokker–Planck/compressible non-Newtonian fluid system of equations. ZAMM, 100, e201900091.

Muhammad, J., Ali, Q., & Younas, U. (2024). Three component coupled fractional nonlinear Schrödinger equations: Diversity of exact optical solitonic structures. Modern Physics Letters B, 2450373.

Muhammad, J. (2024). On the global existence for a class of compressible non-Newtonian fluids with inhomogeneous boundary data. Russian Journal of Mathematical Physics, 31, 276–298.

Muhammad, J., Younas, U., & Nasreen, N. (2024). Multicomponent nonlinear fractional Schrödinger equation: Optical wave propagation in fiber optics. Partial Differential Equations in Applied Mathematics, 100805.

MANIKANDAN S | Mathematics | Best Researcher Award

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MANIKANDAN S | Mathematics | Best Researcher Award

Research Scholar, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India

Mr. Manikandan S is an aspiring academic and researcher in the field of applied mathematics, currently pursuing his Ph.D. in Fractional Mathematical Modelling at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With a passion for mathematical research and a keen interest in fractional calculus, he has made significant contributions to the mathematical modelling of real-world problems such as epidemic disease transmission. His expertise spans across various tools like MATLAB, SCILAB, R-Language, SPSS, and LaTeX, coupled with proficiency in programming languages like C and C++. He is a dedicated researcher recognized for his presentations at international conferences and has publications in high-impact Q1 journals indexed in Scopus and Web of Science.

Publication Profile

📘 Education Background

Mr. Manikandan completed his B.Sc. in Mathematics from Government Arts and Science College, Veppanthattai (Bharathidasan University) in 2018 with 58%, followed by an M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, graduating with a CGPA of 8.2 in 2022. He is presently pursuing his Ph.D. in Fractional Mathematical Modelling at the same institute since January 2023. His academic journey reflects his progressive dedication to research in applied mathematics and control theory.

💼 Professional Experience

While currently focused on doctoral research, Mr. Manikandan has actively engaged in professional development through numerous workshops, FDPs, and conference presentations. He has attended national and international-level events including FDPs on numerical techniques and Python for engineering applications, as well as workshops on research methodology and applied mathematical research hosted by prestigious institutions like VIT and SRM Institute of Science and Technology.

🏅 Awards and Honors

Mr. Manikandan is a Life Member of the International Association of Engineers (IAENG) and was honored with the Best Paper Presentation Award for his paper on Zika virus control using fractional-order models at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24). His commitment to knowledge enhancement is evident from his completion of multiple international MOOCs from platforms like Coursera and CISCO in areas ranging from Python to Cybersecurity and Differential Equations.

🔬 Research Focus

His core research revolves around Differential Equations, Control Theory, and advanced topics like Fractal-Fractional Mathematical Modelling and Stochastic Analysis. He is especially focused on modeling infectious diseases using fractional differential systems like Atangana–Baleanu and Caputo–Fabrizio operators. His recent patent titled “A Statistical Method for Parkinson’s Disease Prognosis Using Clinical Data” also highlights his interdisciplinary innovation in mathematical applications for healthcare.

✅ Conclusion

Mr. Manikandan S is a motivated and evolving researcher whose work integrates deep mathematical theory with impactful real-world applications. With growing recognition in the academic community, a strong publication record, and an interdisciplinary approach, he continues to pave the way in the domain of fractional mathematical modelling and epidemiological research.

📚 Top Publications 

Fractal-fractional mathematical modeling of monkeypox disease and analysis of its Ulam–Hyers stability
Boundary Value Problems, 2025 (Q1, SCI – WoS – Scopus)
 Cited by: 3 articles

A Fractal-Fractional Mathematical Model for COVID-19 and Tuberculosis using Atangana–Baleanu Derivative
Mathematical and Computer Modelling of Dynamical Systems, 30(1), 2024 (Q1, SCI – WoS – Scopus)
Cited by: 6 articles

Mathematical Modelling of HIV/AIDS Treatment using Caputo–Fabrizio Fractional Differential Systems
Qualitative Theory of Dynamical Systems, 23(149), 2024 (Springer, Q1, SCI – WoS)
Cited by: 4 articles

Optimal Control Strategies for Dengue Fever Transmission Using Atangana-Baleanu Fractional Order Models
Indian Journal of Natural Sciences, 15(87), 2024 (WoS Indexed)
Cited by: 2 articles

Symmetry Analyses of Epidemiological Model for Monkeypox Virus with Atangana–Baleanu Fractional Derivative
Symmetry, 2023 (SCI Journal)
Cited by: 5 articles

Ms. Jing Ning | Mathematics | Best Researcher Award

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Ms. Jing Ning | Mathematics | Best Researcher Award

student, Yangtze University, China

Ms. Jing Ning is a dedicated researcher and scholar with a strong background in mathematics and differential equations. She is currently pursuing her master’s degree at Yangtze University, focusing on uncertain differential equations. With an active role in academic competitions and research, she has demonstrated leadership and analytical skills, earning multiple awards at the provincial and school levels. Apart from her research pursuits, she is also actively involved in extracurricular activities, fostering teamwork, creativity, and organizational abilities.

Publication Profile

ORCID

🎓 Education

Ms. Jing Ning holds a master’s degree from Yangtze University. Throughout her academic journey, she has excelled in both theoretical and applied mathematics, particularly in differential equations. She has also enhanced her professional skill set through certifications in Mandarin, English proficiency (CET-4 & CET-6), and computer applications, demonstrating her commitment to academic excellence and interdisciplinary learning.

💼 Experience

Ms. Jing Ning has actively participated in national and regional competitions, taking leadership roles in market research and entrepreneurship challenges. As a team leader in various competitions, she has successfully guided teams to significant victories, including the National College Student Market Research and Analysis Competition and the National College Students’ Innovation and Entrepreneurship Competition. Beyond academics, she has interned at the Baoji Municipal Government Audit Bureau, gaining practical insights into administrative and analytical processes. Additionally, her involvement in cultural and artistic activities, including dance instruction and event planning, has sharpened her organizational and coordination skills.

🏆 Awards and Honors

Ms. Jing Ning has received numerous accolades throughout her academic career. She won the provincial second prize and school first prize in the National College Student Market Research and Analysis Competition. She also led her team to first place at the school level in the National College Students’ Innovation and Entrepreneurship Competition and secured the second prize in the “Chuang Qingchun” College Students’ Entrepreneurship Competition. Her achievements extend to cultural events, where she received awards in dance and aerobics competitions, further highlighting her versatility and dedication.

🔬 Research Focus

Ms. Jing Ning specializes in uncertain differential equations and differential equations, contributing to the field through rigorous research and publications. Her analytical expertise in this area is reflected in her work on parameter estimation for fractional uncertain differential equations, providing valuable insights for mathematical modeling and applications.

🔍 Conclusion

Ms. Jing Ning is a passionate and hardworking researcher with a keen interest in mathematical modeling and entrepreneurship. Her ability to combine academic excellence with leadership and teamwork makes her a well-rounded scholar. With aspirations to refine her skills and contribute to the field of scientific research, she continues to push boundaries and explore innovative ideas.

📚 Publication

Parameter Estimation of Fractional Uncertain Differential Equations

Design of Mooring System

Arak Mathai | Mathematical | Best Researcher Award

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Prof. Dr. Arak Mathai | Mathematical | Best Researcher Award

Emeritus Professor, McGill University, Canada

🌟 Dr. A.M. Mathai is an Emeritus Professor of Mathematics and Statistics at McGill University, Canada, and the Honorary Director of the Centre for Mathematical and Statistical Sciences, Kerala, India. Renowned for his pioneering contributions to mathematics and statistics, he has supervised 13 Ph.D. theses and 30 M.Sc. theses globally. A founder of several prestigious organizations, including the Statistical Society of Canada, Dr. Mathai is celebrated for his extensive research, publications, and global leadership roles, including serving as President of the Indian Mathematical Society and Chairman of the Kerala State Statistical Commission. 📚✨

Publication Profile

ORCID

Education

🎓 Dr. A.M. Mathai holds a Ph.D. in Mathematics and Statistics (1964) and an M.A. (1962) from the University of Toronto, Canada. Prior to that, he earned an M.Sc. in Statistics (1959) from the University of Kerala, India, graduating first in rank with a gold medal, along with a B.Sc. in Mathematics (1957) and other distinguished certifications. His academic journey reflects a lifelong dedication to excellence and learning. 🏅📖

Experience

👨‍🏫 Dr. Mathai has had a remarkable career spanning several decades, including serving as a full professor at McGill University since 2000. In India, he has directed the Centre for Mathematical and Statistical Sciences since 1985. His leadership roles include President of the Society for Special Functions and their Applications (2017-2021) and the Indian Mathematical Society (2015-2016), reflecting his global impact on mathematical sciences. 🌐📊

Research Interests

🔍 Dr. Mathai’s diverse research spans statistical distribution theory, geometrical probability, fractional calculus, special functions, multivariate analysis, and applied astrophysics. His groundbreaking work has advanced fields like reaction rates, matrix variate distributions, and fractional differential equations, earning him international acclaim and a leading citation rank in several mathematical domains. 🌠📐

Awards

🏆 Dr. Mathai’s accolades include the Canadian Commonwealth Scholarship, Life Time Achievement Award from the Indian Society for Probability and Statistics, and numerous awards from the United Nations for his contributions to teaching, research, and global workshops. He is a Fellow of prestigious organizations, including the Institute of Mathematical Statistics (USA) and the National Academy of Sciences, India. His lifetime contributions have reshaped mathematical and statistical sciences worldwide. 🎖🌟

Publications

Fractional integral operators in the complex matrix-variate case – Linear Algebra and its Applications (2013) DOI:10.1016/j.laa.2013.08.023
Cited by: 100+ articles.

Fractional integral operators involving many matrix variables – Linear Algebra and its Applications (2014) DOI:10.1016/j.laa.2014.04.001
Cited by: 95 articles.

A pathway to matrix-variate gamma and normal densities – Linear Algebra and Its Applications (2005) DOI:10.1016/j.laa.2004.06.023
Cited by: 120 articles.

Random p-content of a p-parallelotope in Euclidean n-space – Advances in Applied Probability (1999) DOI:10.1234/aap.v31.2.343
Cited by: 80 articles.

An Introduction to Geometrical Probability – Gordon and Breach (1999) Link to Publisher
Cited by: 150 articles.