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.

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.

 

João Maurício de Carvalho | Mathematics | Best Researcher Award

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Prof Dr. João Maurício de Carvalho | Mathematics | Best Researcher Award

Associate member, CMUP, Portugal

João Paulo Simões Maurício de Carvalho is an accomplished mathematician specializing in applied mathematics and dynamical systems. As an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), his research delves into complex mathematical models, particularly in epidemiology. With a strong background in mathematical engineering and astronomy, João Paulo is dedicated to advancing knowledge in his field through innovative research and active participation in academic conferences.

Publication Profile

Assessment for Researcher Award Consideration: João Paulo Simões Maurício de Carvalho

Strengths for the Award:

  1. Academic Excellence: João has a robust academic background, including a Ph.D. in Applied Mathematics and a MSc in Mathematical Engineering from prestigious institutions. His education aligns well with his research focus, particularly in the areas of mathematical modeling and dynamical systems.
  2. Publication Record: João has a solid portfolio of publications in reputable journals, including contributions to the SIR model in epidemiology, fractional models for diseases like COVID-19 and Type 1 Diabetes, and studies on AIDS-defining malignancies. His work is well-cited, indicating its impact in the field.
  3. Conference Contributions: He has been an active participant in several national and international conferences, both as a speaker and attendee. His invitations to speak at various events highlight his recognition in the academic community.
  4. Research Grants and Memberships: João has been the recipient of multiple research grants, demonstrating his ability to secure funding for his research projects. He is also an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), further validating his standing in the academic community.
  5. Peer Review Contributions: His role as a peer reviewer for the International Journal of Applied and Computational Mathematics shows his expertise is trusted by peers, adding to his credibility.

Areas for Improvement:

  1. Broader Impact: While João’s research is highly specialized, expanding the application of his work to broader fields or interdisciplinary areas could increase its impact and appeal for broader recognition.
  2. Collaborative Projects: Engaging in more collaborative research projects, especially those with international partners or in emerging fields, could enhance his research profile and global visibility.
  3. Outreach and Public Engagement: Increasing his involvement in public outreach or applied research that directly benefits society could strengthen his case for awards that value practical contributions alongside academic achievements.

 

Education 🎓

João Paulo earned his Ph.D. in Applied Mathematics in 2024 from the MAP-PDMA program, a collaboration between the Faculty of Sciences, University of Porto (FCUP), Aveiro, and Minho. Prior to this, he completed a Master’s degree in Mathematical Engineering in 2016 and a Bachelor’s degree in Astronomy in 2014, both from FCUP. He also pursued advanced studies in Estimation, Control, Optimization, and Data Science, with applications to cyber-physical systems, at the Faculty of Engineering, University of Porto (FEUP) in 2020/2021.

Experience 💼

João Paulo has gained extensive research experience as an Associate Member at CMUP, where he has contributed to various projects focused on chaos and stabilization in epidemiological models with seasonal variations. He has also held research grant positions at CMUP and participated in international training programs and summer courses. His expertise in mathematical modeling has led to several invited speaker roles at prestigious conferences and seminars.

Research Focus 🔬

João Paulo’s research primarily revolves around the qualitative analysis of epidemiological models, particularly in understanding chaos, bifurcations, and stability. His work often intersects with applied mathematics in life sciences, where he explores the dynamics of diseases through mathematical modeling. His notable contributions include studies on the SIR model with vaccination, fractional models for Type 1 Diabetes, and the role of the immune system in AIDS-defining malignancies.

Awards and Honours 🏆

Throughout his academic journey, João Paulo has received several grants and scholarships, including a Ph.D. scholarship from CMUP for his project on chaos in epidemiological models. He was also a recipient of the MAGIC project grant and participated in a COST Action training school in Turkey. His academic excellence was recognized by the unanimous approval of his Ph.D. thesis in Applied Mathematics.

Publication Top Notes 📝

Pulse vaccination in a SIR model: global dynamics, bifurcations and seasonality (2024) – Accepted
Authors: João P.S. Maurício de Carvalho, Alexandre A. Rodrigues
SIR model with vaccination: bifurcation analysis (2023) – Qualitative Theory of Dynamical Systems
DOI: 10.1007/s12346-023-00802-2
Strange attractors in a dynamical system inspired by a seasonally forced SIR model (2022) – Physica D: Nonlinear Phenomena
DOI: 10.1016/j.physd.2022.133268
Role of the immune system in AIDS-defining malignancies (2022) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-77306-9_9
A fractional-order model for CoViD-19 dynamics with reinfection and the importance of quarantine (2021) – Chaos, Solitons & Fractals
DOI: 10.1016/j.chaos.2021.111275

Fractional Model for Type 1 Diabetes (2020) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-37062-6_9

Conclusion:

João Paulo Simões Maurício de Carvalho demonstrates a strong and focused research profile, particularly in applied mathematics and dynamical systems related to epidemiology. His academic qualifications, publications, and conference contributions make him a solid candidate for a Researcher Award. However, to strengthen his profile further, he could benefit from expanding the applicability of his research, engaging in more interdisciplinary projects, and increasing public outreach efforts. Overall, João is a strong contender for the Best Researcher Award, particularly in fields related to mathematical modeling and applied mathematics.

 

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”