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.

Baoquan Ning | Mathematics | Best Researcher Award

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Prof. Dr. Baoquan Ning | Mathematics | Best Researcher Award

Dean of the School of Mathematics and Statistics | Liupanshui Normal University | China

Prof. Dr. Baoquan Ning is a distinguished mathematician and academic leader, currently serving as Professor and Dean of the School of Mathematics and Statistics at Liupanshui Normal University, China. He has built a strong reputation in the field of uncertainty decision-making, multi-attribute group decision-making, and fuzzy systems. Over the years, he has authored more than seventy academic papers in influential international journals and holds numerous patents as a first inventor. His career reflects both academic excellence and leadership, combining innovative research, practical applications, and educational development within China and beyond.

Publication Profile

Scopus

ORCID

Education Background

Prof. Dr. Baoquan Ning completed his Bachelor of Science in Mathematics and Applied Mathematics at Harbin Normal University, laying a solid foundation in mathematical sciences. He pursued further specialization in Applied Mathematics with a Master of Science degree from Kunming University of Science and Technology, strengthening his focus on applied research. Later, he advanced to doctoral studies in Mathematics at Sichuan Normal University, where he deepened his expertise in complex system evaluation and fuzzy decision-making. His academic journey demonstrates a steady progression of knowledge, practical application, and scholarly growth that underpins his research and teaching career.

Professional Experience

Prof. Dr. Baoquan Ning has been a dedicated faculty member at Liupanshui Normal University since the beginning of his career, gradually advancing to his current role as Dean of the School of Mathematics and Statistics. His professional contributions extend to leading and participating in numerous research projects at national and provincial levels. He has supervised English-language publications and encouraged international academic collaborations. Alongside his academic duties, he has established himself as a prolific inventor with more than seventy patents authorized under his name. His career highlights a commitment to both research innovation and educational leadership.

Awards and Honors

Throughout his academic career, Prof. Dr. Baoquan Ning has received multiple honors for his contributions to education and research. He has been recognized as a high-level innovative talent in Guizhou Province and has been named an academic leader of Liupanshui Normal University. His service and leadership have earned him honors such as “Outstanding Teacher” and “Excellent Communist Party Member.” Beyond personal achievements, his leadership roles as Executive Director of the Guizhou Mathematical Society and Council Member of the Guizhou Applied Statistics Society reflect his significant standing in the academic community and regional development.

Research Focus

Prof. Dr. Baoquan Ning’s research interests focus on uncertain and fuzzy decision-making, multi-attribute group decision-making, complex system evaluation, and educational measurement. His work addresses both theoretical advancements and real-world applications, including platform selection, system analysis, and group decision-making models. By publishing in high-impact journals, he has contributed to the advancement of fuzzy set theory, intelligent algorithms, and applied decision-making systems. His patents and research projects highlight his ability to bridge theory with practical application, making his contributions highly valuable to mathematics, computer science, and cross-disciplinary fields in modern decision sciences.

Publications Top Notes

  • Multiple attribute group decision-making using p, q-quasirung orthopair fuzzy credibility sets: Application to data literacy evaluation of scientific researchers
    Published Year: 2025
    Citation: 1

  • Some Novel Correlation Coefficients of Probabilistic Dual Hesitant Fuzzy Sets and their Application to Multi-Attribute Decision-Making
    Published Year: 2024
    Citation: 4

  • Site Selection of Wind Farms Based on Novel Probabilistic Dual Hesitant Fuzzy ExpTODIM and LogTODIM Methods
    Published Year: 2024
    Citation: 1

  • Probabilistic dual hesitant fuzzy MAGDM method based on generalized extended power average operator and its application to online teaching platform supplier selection
    Published Year: 2023
    Citation: 14

  • The cross-border e-commerce platform selection based on the probabilistic dual hesitant fuzzy generalized dice similarity measures
    Published Year: 2023
    Citation: 3

Conclusion

Prof. Dr. Baoquan Ning stands as a prominent scholar whose work has significantly advanced research in uncertainty decision-making and fuzzy systems. His prolific publication record, active participation in funded projects, and leadership within professional societies emphasize his dual role as a researcher and academic leader. Through his innovations, patents, and international collaborations, he continues to influence both theoretical research and applied methodologies. His recognition as a high-level innovative talent underscores his importance not only to Liupanshui Normal University but also to the broader development of mathematics and applied decision sciences in China.

Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

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Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

Assistant Professor, RAJUK Uttara Model College, Bangladesh

Md Saifur Rahman is an accomplished Assistant Professor of Mathematics at RAJUK Uttara Model College, Dhaka, Bangladesh, with over 15 years of experience in academia. He is currently pursuing his Ph.D. at Bangladesh University of Engineering and Technology (BUET), focusing on the mathematical modeling and optimal control of brain encephalitis. He has made notable contributions in mathematical biology, computational modeling, and infectious disease epidemiology. His interdisciplinary work bridges mathematics with real-world biomedical problems, and he actively presents his research across national and international platforms.

Publication Profile

ORCID

🎓 Education Background

Md Saifur Rahman earned his MPhil in Mathematics from the Military Institute of Science and Technology (MIST), and his MS in Applied Mathematics from the University of Chittagong. He is currently pursuing a Ph.D. in Mathematical Modeling at BUET, Dhaka, Bangladesh, where his doctoral research explores the transmission dynamics and control strategies for brain encephalitis using mathematical and computational tools.

💼 Professional Experience

Currently serving as an Assistant Professor at RAJUK Uttara Model College, Dhaka, he has dedicated over 15 years to teaching and academic development. His expertise extends into scientific computing using COMSOL Multiphysics and MATLAB. He has delivered invited lectures on ICT-enabled education and continues to influence the educational landscape through both innovation and research.

🏆 Awards and Honors

Md Saifur Rahman received the Best Teacher Award in 2011 for his innovative use of multimedia content in teaching. He has also been recognized for delivering invited talks in ICT and education, and his academic influence spans several conferences across Bangladesh, Nepal, and Canada.

🔬 Research Focus

His research focuses on mathematical biology, fluid dynamics, and epidemiology, particularly modeling the transmission of infectious diseases like viral and bacterial encephalitis. He has developed mathematical models incorporating optimal control strategies to aid public health interventions. His work involves advanced computational tools such as COMSOL, Tecplot, and MATLAB to simulate disease spread and evaluate mitigation techniques.

🔚 Conclusion

Md Saifur Rahman is a dedicated scholar blending theoretical mathematics with applied health science, creating a meaningful impact in the fields of disease modeling and educational innovation. Through his interdisciplinary contributions and international presentations, he continues to build bridges between computation, biology, and societal well-being.

📚 Top Publications

  1. Mathematical Modeling and Optimal Control of Viral Encephalitis
    🔗 Published in MDPI Mathematics (2024)
    🗓 Year: 2024
    📊 Cited by: 4 articles on ResearchGate
    📌 Summary: This paper presents an optimal control model for viral encephalitis and its implications for intervention strategies.

  2. Numerical Study of Heat and Mass Transfer in Nanofluid Flow Through Lid-Driven Porous Cavity
    🔗 Published in Scopus-indexed conference proceedings (2022)
    🗓 Year: 2022
    📊 Cited by: 2 articles
    📌 Summary: Investigates nanofluid behavior using computational simulations with practical applications in energy systems.

  3. Computational Modeling of Japanese Encephalitis Transmission Dynamics
    🔗 Preprint on ResearchGate (2023)
    🗓 Year: 2023
    📊 Cited by: 1 article
    📌 Summary: Extends previous research to analyze vector-borne transmission and optimal interventions.

  4. Epidemiological Insights into Bacterial Encephalitis Using Mathematical Tools
    🔗 Under review, MDPI Mathematics
    🗓 Year: 2025 (expected)
    📌 Summary: Explores bacterial encephalitis modeling to enhance public health strategy development.

 

Karima BENALI | Mathematics | Best Researcher Award

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Dr. Karima BENALI | Mathematics | Best Researcher Award

PHD Diploma, University of Sfax, Tunisia

👩‍🔬 Dr. Karima Benali, a dedicated academic, holds a Ph.D. in Fundamental Mathematics. With two years of teaching experience at the Institut Supérieur de Biotechnologie de Sfax, she is passionate about education and guiding her students to overcome challenges and achieve their full potential.

Profile

Scopus

 

Education

🎓 Dr. Benali has an extensive educational background, including specialized training in English communication, project engineering, Python programming, and SPSS software. She completed her Ph.D. in Fundamental Mathematics at the Faculty of Sciences of Sfax, where she also received various other training and certifications.

Experience

👩‍🏫 Dr. Benali has taught at the Faculty of Sciences of Sfax and the Institut Supérieur de Biotechnologie de Sfax. Her roles included supervising directed works for courses in Analysis, Algebra, Biostatistics, Probability, and Statistics across multiple undergraduate programs. She has a strong commitment to enhancing students’ academic experiences through interactive and engaging teaching methods.

Research Interests

🔬 Dr. Benali’s research interests lie in the fields of algebra, particularly Hom-Lie algebras and Bihom-Lie algebras. She has presented her research at numerous international conferences and has published several influential papers in these areas.

Awards

🏆 Dr. Benali has been recognized for her contributions to mathematics with multiple awards and certificates of participation in prestigious conferences, including the Tunisio-Japanese conference, the Algebra and Lie Theory conference in France, and the Euro-Maghreb conference.

Publications

“Bialgebras, the Yang-Baxter equation and Manin triples for mock-Lie algebras”
“Representations of simple Hom-Lie algebras”
“Bialgebras via Manin triples of compatible mock-Lie algebras”