Mohammed Hussein | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452

Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

Published on by Math Scientist

Dr. Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

Researcher at Bahauddin Zakariya University, Pakistan

Zammad Ali is an emerging researcher in applied mathematics, specializing in convex analysis, fractional calculus, and information sciences. He holds an MPhil in Mathematics from Bahauddin Zakariya University, Pakistan, with expertise in computational geometry, integral inequalities, and machine learning applications. His research contributions include multiple publications in high-impact journals, focusing on generalized convex functions, fractional integral inequalities, and their applications in entropy and information science. Proficient in Mathematica, MATLAB, and Python, he integrates computational tools to solve complex mathematical problems. His international collaborations with researchers from China and Japan highlight his growing academic presence. While his work demonstrates innovation and relevance, expanding his research impact through higher citation counts, interdisciplinary applications, and independent projects will further strengthen his profile. With continued contributions and leadership in mathematical research, Zammad Ali is well-positioned to make significant advancements in applied mathematics and information sciences.

Professional Profile 

Google Scholar

ORCID Profile

Education

Zammad Ali holds an MPhil in Mathematics from Bahauddin Zakariya University (BZU), Multan, Pakistan, completed between 2021 and 2023 with a CGPA of 3.30 out of 4.0. His academic focus during this period included Computational Geometry, Calculus on Time Scales, Advanced Linear Algebra, Integral Inequalities, and applications in Machine Learning and Data Science. Prior to this, he earned a Bachelor’s degree in Mathematics from the University of Education (UE), Lahore, Pakistan, from 2017 to 2021, achieving a CGPA of 3.39 out of 4.0. His undergraduate studies encompassed Mathematical Methods of Physics, Mathematical Statistics, Complex Analysis, Calculus, Differential Geometry, Linear Algebra, Real Analysis, and Ordinary Differential Equations. With a strong foundation in both pure and applied mathematics, his educational background supports his research interests in convex analysis, integral inequalities, and fractional calculus. His coursework and research reflect a blend of theoretical and computational mathematics, equipping him with diverse analytical and problem-solving skills.

Professional Experience

Zammad Ali has developed strong technical and research expertise throughout his academic journey, contributing to advanced mathematical research. Although he has not held formal academic or industry positions, his professional experience primarily lies in his research contributions and collaborations with esteemed scholars. His proficiency in computational tools like Mathematica, MATLAB, Python, and MS Office enhances his analytical capabilities. He has actively participated in mathematical research, working under the supervision of experienced professors such as Dr. Asfand Fahad and Dr. Awais Younus. His research engagements involve solving complex mathematical problems related to convex functions, integral inequalities, and fractional calculus. His publications in high-impact journals highlight his ability to contribute to contemporary mathematical advancements. While he is at an early stage of his professional career, his expertise and research collaborations position him as a promising mathematician with potential for future academic and industrial contributions.

Research Interest

Zammad Ali’s research interests focus on mathematical analysis, particularly in convex functions, integral inequalities, and fractional calculus. His work explores the properties of generalized convex functions and their applications in information sciences. He is particularly interested in geometrically arithmetically convex functions, Hermite–Hadamard–Mercer inequalities, and fractional integral operators. His research integrates theoretical mathematics with computational approaches, allowing for the development of new mathematical inequalities and their applications in various scientific domains. He has contributed to studies on entropy, information systems, and mean inequalities, demonstrating the practical relevance of his research. His growing interest in machine learning and data science suggests potential interdisciplinary applications of his mathematical expertise in optimization problems, artificial intelligence, and statistical modeling. Through his contributions, he aims to advance the field of applied mathematics, developing innovative methods that bridge pure mathematical theories with real-world applications.

Awards and Honors

Zammad Ali has made significant contributions to mathematical research, publishing in well-regarded journals such as Information Sciences, Alexandria Engineering Journal, and Fractal and Fractional. While he has not yet received formal awards or honors, his scholarly impact is evident through his collaborations with international researchers and his contributions to the field of fractional calculus and integral inequalities. His publications are gaining recognition, with citations reflecting the influence of his work within the academic community. As his research progresses, he is well-positioned to receive prestigious awards and grants for his contributions to mathematical sciences. His potential for future recognition is strong, given his consistent engagement in high-level mathematical research. With further experience, his work is expected to attract broader academic and industrial recognition, establishing him as a leading researcher in applied mathematics.

Conclusion

Zammad Ali is an emerging researcher in mathematics, specializing in convex analysis, fractional calculus, and integral inequalities. His academic journey, marked by strong theoretical foundations and computational expertise, has led to impactful research contributions. His ability to collaborate with international scholars and publish in high-impact journals demonstrates his potential as a mathematician. While he is in the early stages of his research career, his growing influence in the field suggests a promising future. With further experience and recognition, he is likely to make substantial contributions to mathematical sciences, bridging theoretical advancements with practical applications. His dedication to research and continuous learning sets the foundation for a successful academic and professional career.

Publications Top Noted

  • Title: Exploring properties and inequalities for geometrically arithmetically-Cr-convex functions with Cr-order relative entropy
    Authors: A. Fahad, Y. Wang, Z. Ali, R. Hussain, S. Furuichi
    Year: 2024
    Citations: 11
    Source: Information Sciences, Volume 662, Article ID 120219

  • Title: Novel fractional integral inequalities for GA-Cr-convex functions and connections with information systems
    Authors: A. Fahad, Z. Ali, S. Furuichi, Y. Wang
    Year: 2025
    Citations: 2
    Source: Alexandria Engineering Journal, Volume 113, Pages 509-515

  • Title: On generalization of Hermite–Hadamard–Mercer inequalities for interval-valued functions with generalized geometric–arithmetic convexity
    Authors: A. Fahad, Y. Qian, Z. Ali, A. Younus
    Year: 2024
    Citations: 2
    Source: International Journal of Geometric Methods in Modern Physics, Article ID 2440026

  • Title: New Inequalities for GA–h Convex Functions via Generalized Fractional Integral Operators with Applications to Entropy and Mean Inequalities
    Authors: A. Fahad, Z. Ali, S. Furuichi, S. I. Butt, Y. Wang
    Year: 2024
    Citations: Not available yet
    Source: Fractal and Fractional, Volume 8, Issue 12, Article ID 728

 

Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

Published on by Math Scientist

Prof. Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

Professor in Mathematics at Tunis El Manar University, Tunisia

Dr. Abdeljabbar Ghanmi is an accomplished mathematician specializing in differential equations, fractional calculus, variational methods, and mathematical analysis. Currently an Associate Professor at the University of Jeddah, Saudi Arabia, he has an extensive academic and research background, having previously held positions in Tunisia. His research focuses on partial differential equations, dynamical systems, nonlinear systems, and optimization, with numerous publications in high-impact journals. Dr. Ghanmi collaborates with renowned mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, reflecting his global research engagement. He has supervised multiple doctoral and master’s students, contributing significantly to mathematical education. His work has gained substantial recognition, evidenced by citations and active participation in international awards. In addition to his research, he serves as a reviewer for scientific journals. Dr. Ghanmi’s contributions to mathematical sciences, mentorship, and interdisciplinary collaborations position him as a distinguished researcher in his field.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Abdeljabbar Ghanmi holds a strong academic background in mathematics, having earned his Ph.D. in Applied Mathematics from a prestigious institution. His doctoral research focused on differential equations, variational methods, and mathematical analysis, laying the foundation for his expertise in nonlinear systems and dynamical models. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Sciences, where he explored advanced topics in functional analysis and optimization. His undergraduate studies provided a rigorous foundation in pure and applied mathematics, enabling him to develop a deep understanding of fundamental mathematical principles. Throughout his academic journey, Dr. Ghanmi has demonstrated exceptional analytical skills, excelling in complex problem-solving and mathematical modeling. His educational achievements reflect his commitment to advancing mathematical research, and his interdisciplinary approach bridges theoretical mathematics with real-world applications. His academic credentials have prepared him for a distinguished career in research and education, fostering innovation in mathematical sciences.

Professional Experience

Dr. Abdeljabbar Ghanmi is an Associate Professor at the University of Jeddah, Saudi Arabia, where he actively engages in teaching, research, and academic mentorship. Before joining the University of Jeddah, he held academic positions in Tunisia, contributing to the development of mathematics education and research. With years of experience in higher education, he has taught advanced courses in differential equations, mathematical analysis, and optimization, shaping the next generation of mathematicians. His role extends beyond teaching, as he supervises Ph.D. and master’s students, guiding them in their research endeavors. Dr. Ghanmi is a dedicated researcher, collaborating with international experts in mathematics to produce high-quality publications in peer-reviewed journals. Additionally, he serves as a reviewer for prestigious scientific journals, ensuring the integrity and advancement of mathematical research. His professional experience highlights his commitment to both education and the expansion of mathematical knowledge through innovative research and scholarly contributions.

Research Interest

Dr. Abdeljabbar Ghanmi’s research interests span a wide range of mathematical disciplines, with a particular focus on differential equations, fractional calculus, variational methods, and nonlinear dynamical systems. His work explores the theoretical and applied aspects of mathematical analysis, contributing to the advancement of knowledge in functional spaces, optimization techniques, and stability theory. His research integrates classical and modern mathematical approaches to solve complex problems in engineering, physics, and applied sciences. Dr. Ghanmi actively collaborates with leading mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, engaging in interdisciplinary research that bridges pure mathematics with practical applications. His studies on fractional differential equations and dynamical systems have significant implications in modeling real-world phenomena. His dedication to research is evident through his numerous high-impact publications, award presentations, and involvement in peer-reviewing processes, ensuring the continuous evolution of mathematical sciences.

Awards and Honors

Dr. Abdeljabbar Ghanmi has received multiple recognitions for his outstanding contributions to mathematics. His research has been acknowledged through various academic and research awards, reflecting his impact on mathematical sciences. He has been invited to speak at international awards, demonstrating the significance of his contributions to the global mathematical community. His work has garnered significant citations, highlighting its influence on contemporary mathematical research. In addition to his scholarly achievements, Dr. Ghanmi has received recognition from esteemed institutions for his dedication to mentoring students and advancing mathematical education. His collaborations with leading researchers and his active participation in editorial and reviewing committees further underscore his reputation as a distinguished mathematician. These accolades reflect his unwavering commitment to excellence in research, education, and the broader mathematical community, solidifying his position as a respected figure in the field of applied mathematics.

Conclusion

Dr. Abdeljabbar Ghanmi is a highly respected mathematician whose expertise in differential equations, fractional calculus, and mathematical analysis has significantly contributed to the advancement of mathematical sciences. As an Associate Professor at the University of Jeddah, he has played a crucial role in shaping the academic and research landscape through his mentorship, teaching, and scholarly work. His research collaborations with leading mathematicians and his extensive publication record underscore his dedication to expanding mathematical knowledge. Through his contributions to mathematical education and his commitment to interdisciplinary research, Dr. Ghanmi has made a lasting impact on the field. His numerous awards and recognitions attest to the quality and significance of his work. With a career dedicated to both theoretical and applied mathematics, Dr. Ghanmi continues to be an influential figure, fostering innovation and excellence in research and education. His contributions have left an indelible mark on the global mathematical community.

Publications Top Noted

Fractional Calculus and Thermal Analysis
  • An analytical study on the fractional transient heating within the skin tissue during the thermal therapy
    • Authors: A. Ghanmi, I.A. Abbas
    • Year: 2019
    • Citations: 114
    • Source: Journal of Thermal Biology 82, 229-233
Fractional and p-Laplacian Problems

  • A multiplicity results for a singular problem involving the fractional p-Laplacian operator

    • Authors: A. Ghanmi, K. Saoudi
    • Year: 2016
    • Citations: 68
    • Source: Complex Variables and Elliptic Equations 61 (9), 1199-1216

  • A multiplicity results for a singular equation involving the p(x)-Laplace operator

    • Authors: K. Saoudi, A. Ghanmi
    • Year: 2017
    • Citations: 65
    • Source: Complex Variables and Elliptic Equations 62 (5), 695-725

  • The Nehari manifold for a singular elliptic equation involving the fractional Laplace operator

    • Authors: A.G.K. Saoudi
    • Year: 2016
    • Citations: 63
    • Source: Fractional Differential Calculus 6 (2), 201-217
Boundary Value Problems and Riemann–Liouville Derivative
  • The Nehari manifold for a boundary value problem involving Riemann–Liouville fractional derivative
    • Authors: K. Saoudi, P. Agarwal, P. Kumam, A. Ghanmi, P. Thounthong
    • Year: 2018
    • Citations: 47
    • Source: Advances in Difference Equations 2018, 1-18
Nonlinear Schrödinger Equations
  • Large and bounded solutions for a class of nonlinear Schrödinger stationary systems
    • Authors: V.R.N.Z. Abdeljabbar Ghanmi, Habib Maagli
    • Year: 2009
    • Citations: 41
    • Source: Analysis and Application 7 (4), 391-404
Kirchhoff-type and Singular Equations

  • Minimax method involving singular p(x)-Kirchhoff equation

    • Authors: K. Ben Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 39
    • Source: Journal of Mathematical Physics 58 (11)

  • Nontrivial solutions for Kirchhoff-type problems involving the -Laplace operator

    • Authors: A. Ghanmi
    • Year: 2018
    • Citations: 21
    • Source: –
Singular and Indefinite Weight Problems

  • Existence of solution for a singular fractional Laplacian problem with variable exponents and indefinite weights

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2021
    • Citations: 28
    • Source: Complex Variables and Elliptic Equations 66 (8), 1320-1332

  • On the Steklov problem involving the p(x)-Laplacian with indefinite weight

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 24
    • Source: Opuscula Mathematica 37 (6), 779-794
Existence and Multiplicity of Solutions in Fractional Differential Equations

  • Existence of solutions for fractional differential equations with Dirichlet boundary conditions

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2016
    • Citations: 25
    • Source: Electronic Journal of Differential Equations 116, 1-11

  • Existence of positive solutions for a coupled system of nonlinear fractional differential equations

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2019
    • Citations: 23
    • Source: Ukrainian Mathematical Journal 71, 39-49

  • Existence of positive bounded solutions for some nonlinear elliptic systems

    • Authors: N.Z. A. Ghanmi, H. Mâagli, S. Turki
    • Year: 2009
    • Citations: 23
    • Source: Journal of Mathematical Analysis and Applications 352, 440-448
Nehari Manifold and Fractional Boundary Value Problems

  • Nehari manifold and multiplicity results for a class of fractional boundary value problems with p-Laplacian

    • Authors: A. Ghanmi, Z. Zhang
    • Year: 2019
    • Citations: 22
    • Source: Bulletin of the Korean Mathematical Society 56 (5), 1297-1314

  • Multiplicity of Nontrivial Solutions of a Class of Fractional p-Laplacian Problem

    • Authors: A. Ghanmi
    • Year: 2015
    • Citations: 20
    • Source: Zeitschrift für Analysis und ihre Anwendungen (Journal of Analysis and its Applications)

  • A multiplicity results for a singular problem involving a Riemann-Liouville fractional derivative

    • Authors: A. Ghanmi, M. Kratou, K. Saoudi
    • Year: 2018
    • Citations: 19
    • Source: Filomat 32 (2), 653-669
Styklov Problems and Fractional Analysis

  • Existence and multiplicity of solutions for some Styklov problem involving p(x)-Laplacian operator

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2022
    • Citations: 17
    • Source: Applicable Analysis 101 (7), 2401-2417

  • Existence result and uniqueness for some fractional problem

    • Authors: G. Wang, A. Ghanmi, S. Horrigue, S. Madian
    • Year: 2019
    • Citations: 16
    • Source: Mathematics 7 (6), 516

  • Existence Results for Nonlinear Boundary Value Problems

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2018
    • Citations: 15
    • Source: Filomat 32 (2), 609-618

 

Siyuan Li | Theoretical Computer Science | Best Researcher Award

Published on by Math Scientist

Dr. Siyuan Li | Theoretical Computer Science | Best Researcher Award

Dr. Siyuan Li is a dedicated researcher affiliated with Southeast University, holding a Doctorate from the same institution and a Master’s degree from The University of Alabama at Birmingham. With a strong academic foundation, Dr. Li has made notable contributions to scientific research, particularly through publications in SCI-indexed journals and patents, demonstrating expertise in innovation and applied research. Their work reflects a commitment to advancing knowledge in their field, though further details on citation impact, collaborations, and industry engagements would strengthen their profile. Dr. Li’s international academic experience enhances their research perspective, adding to their global credibility. While their contributions position them as a strong candidate for the Best Researcher Award, highlighting editorial roles, professional memberships, and academic leadership would further solidify their standing. Providing a comprehensive research profile, including citation metrics and project details, would enhance their nomination and showcase their full impact in the academic and scientific community.

Professional Profile 

ORCID Profile

Education

Dr. Siyuan Li has a solid academic background, earning a Doctorate from Southeast University and a Master’s degree from The University of Alabama at Birmingham. This educational journey has provided them with a strong theoretical and practical foundation, allowing them to contribute meaningfully to research and innovation. Their advanced degrees demonstrate expertise in their field, equipping them with the necessary analytical and technical skills to undertake complex research projects. By studying in both China and the United States, Dr. Li has gained international exposure, enabling them to engage with diverse academic environments and interdisciplinary research methodologies. Their academic credentials not only highlight their commitment to lifelong learning but also position them as a highly qualified researcher with the potential to drive impactful discoveries in their domain. Continuing to expand their academic qualifications and collaborations will further enhance their contributions to global scientific advancements.

Professional Experience

Dr. Siyuan Li is currently affiliated with Southeast University, where they are actively involved in research, publishing, and patent development. Their work has primarily focused on advancing knowledge through scientific innovation, as evidenced by their patents and publications in SCI-indexed journals. While their exact professional roles and responsibilities are not fully detailed, it is evident that they contribute significantly to their field through research, academic writing, and potential industry collaborations. Engaging with academic institutions and research communities, Dr. Li has demonstrated a strong foundation in applied research. However, further details on teaching experience, leadership roles, and industry engagement would strengthen their professional profile. Expanding involvement in editorial boards, professional organizations, and research grants could further establish their credibility and professional impact. A more comprehensive presentation of their professional contributions would enhance their nomination for prestigious awards and recognitions in academia and industry.

Research Interest

Dr. Siyuan Li’s research interests are rooted in scientific and technological advancements, as demonstrated by their published patents and SCI-indexed journal articles. Their work likely focuses on applied research, contributing to innovations that bridge theoretical concepts with real-world applications. While their exact areas of specialization remain unspecified, their academic background suggests expertise in engineering, computational sciences, or related interdisciplinary fields. Their research interests may also extend to industry-oriented projects, given their involvement in patent development. To further establish a strong research presence, Dr. Li could enhance their profile by detailing specific research projects, collaborations, and citation impact. By engaging in multidisciplinary research, international collaborations, and emerging technological fields, Dr. Li has the potential to make significant contributions to the scientific and academic community. A more detailed articulation of their research focus would strengthen their candidacy for prestigious awards and academic recognition.

Awards and Honors

Dr. Siyuan Li has demonstrated commendable achievements through patents and SCI-indexed journal publications, indicating contributions to research and innovation. While specific awards and honors are not listed, their academic and professional accomplishments suggest eligibility for recognitions such as Best Researcher Award, Outstanding Scientist Award, or Innovation Excellence Awards. To strengthen their award candidacy, highlighting previous recognitions, research grants, award presentations, and institutional honors would be beneficial. Engaging in academic leadership roles, editorial board memberships, and keynote speaker opportunities could further enhance their professional standing. Additionally, participating in international research collaborations and obtaining funding for high-impact projects would position Dr. Li as a leading researcher in their domain. Recognizing their achievements through formal awards would not only validate their contributions but also inspire further advancements in their field. Expanding on previous accolades and institutional recognition would significantly reinforce their standing in the academic and research community.

Conclusion

Dr. Siyuan Li is an accomplished researcher with a strong educational background, international academic exposure, and notable contributions to scientific innovation. Their publications in SCI-indexed journals and patents indicate a commitment to advancing knowledge and developing practical applications in their research field. However, to further enhance their profile, detailed information on research impact, citation index, industry collaborations, and leadership roles should be included. Expanding professional engagement through editorial board appointments, award presentations, and academic leadership roles would further solidify their reputation as a leading researcher. Dr. Li is well-positioned for recognition through research awards, but strengthening their application with additional achievements and professional contributions would make their candidacy even more competitive. By continuing to contribute to interdisciplinary research, international collaborations, and groundbreaking innovations, Dr. Li has the potential to achieve significant recognition and make a lasting impact on the academic and scientific community.

Publications Top Noted

  1. Title: Fully Incomplete Information for Multiview Clustering in Postoperative Liver Tumor Diagnoses

    • Authors: Siyuan Li, Xinde Li
    • Year: 2025
    • Source: Sensors

  2. Title: Analysis of Detection Methods in Massive MIMO Systems

    • Authors: Siyuan Li
    • Year: 2018
    • Source: Journal of Physics: Conference Series

 

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Published on by Math Scientist

Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

Yaoshun Fu | Artificial Intelligence in Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Yaoshun Fu | Artificial Intelligence in Mathematics | Best Researcher Award

Senior Engineer at Beijing Aerospace Era Optoelectronic Technology Co., Ltd, China

Dr. Yaoshun Fu is a distinguished researcher specializing in formal verification, machine theorem proving, and axiomatic set theory. He holds a Ph.D. in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT) and has made significant contributions to mathematical proof automation using Coq-based formal verification. With over 10 research publications, including two JCR Q1 papers as the first author, he has established himself as a leading scholar in his field. His work spans real analysis, topology, algebra, and set theory, with applications in program verification and security. Dr. Fu has also authored two books, secured nine software copyrights, and presented at prestigious international awards. While his research impact is growing, expanding international collaborations and interdisciplinary applications could further enhance his global recognition. His expertise and contributions make him a strong contender for the Best Researcher Award in theoretical and applied mathematics.

Professional Profile 

Scopus Profile

Education

Dr. Yaoshun Fu obtained his Bachelor’s degree in Communication Engineering from Shandong Normal University in 2015. He then pursued his Master’s and Ph.D. degrees in Electronic Science and Technology at Beijing University of Posts and Telecommunications (BUPT) from 2016 to 2022. His doctoral research focused on formal verification, machine theorem proving, and axiomatic set theory, particularly leveraging the Coq proof assistant for mathematical formalization. Throughout his academic journey, he has engaged in cutting-edge research in real analysis, topology, algebra, and formal logic, demonstrating his deep understanding of both theoretical mathematics and computational proof systems. His educational background has provided him with a strong foundation in both mathematical reasoning and practical applications of formal methods, preparing him for a highly impactful research career. His rigorous training in mathematical formalization and theorem proving has positioned him as an emerging expert in the field.

Professional Experience

Dr. Yaoshun Fu has been actively involved in research in formal methods, mathematical logic, and automated theorem proving for several years. During his doctoral studies at BUPT, he worked on multiple projects supported by the National Natural Science Foundation of China, contributing to the development of Coq-based mathematical proof systems. His work has included formalizing real analysis without limits, proving equivalence among completeness theorems of real numbers, and developing machine-proof systems for topology and algebra. As a researcher, he has collaborated with experts in applied mathematics, theoretical computer science, and logic. He has also authored two books and obtained nine software copyrights, demonstrating his ability to translate theoretical research into tangible software solutions. Additionally, he has presented his findings at leading international awards, strengthening his reputation as a scholar in formal verification and theorem proving.

Research Interest

Dr. Yaoshun Fu’s research interests lie in formal verification, machine theorem proving, axiomatic set theory, and mathematical formalization. His primary focus is on using interactive theorem provers such as Coq to develop rigorous, machine-checkable proofs for real analysis, topology, algebra, and logic. He is particularly interested in bridging the gap between human mathematical intuition and computer-assisted proof verification, with applications in program verification, security, and symbolic computation. His research explores automated reasoning techniques, formalizing classical theorems, and ensuring correctness in mathematical software. His expertise extends to constructive mathematics and foundational theories, with an emphasis on improving the reliability and efficiency of formal proof systems. Looking ahead, he aims to expand his research to interdisciplinary applications, such as AI-driven theorem proving, automated logic solvers, and mathematical modeling for secure computing. His work contributes significantly to advancing the field of computer-aided mathematics and proof automation.

Awards and Honors

Dr. Yaoshun Fu has received several prestigious awards in recognition of his academic excellence and research contributions. In 2021, he played a key role as a core member of a student leadership team, earning his group a Top Ten Student Organization award at BUPT. In 2020, he was recognized as an Outstanding Graduate Student Leader for his role as an organizational committee member. His doctoral research was supported by competitive grants, including funding from the National Natural Science Foundation of China, which enabled him to advance his work in formal verification and mathematical theorem proving. Additionally, he has been invited to present at major international awards, further establishing his scholarly reputation. His awards and honors highlight his dedication to academic excellence, leadership, and impactful research, positioning him as a rising star in formal methods and mathematical verification.

Conclusion

Dr. Yaoshun Fu is an accomplished researcher in formal verification, machine theorem proving, and axiomatic set theory, with a strong academic background and extensive research contributions. His expertise in Coq-based formal verification, real analysis, topology, and logic has led to high-impact publications, software developments, and book authorships. His contributions to mathematical proof automation are not only theoretically significant but also have practical implications in program verification and security applications. While his research impact is steadily growing, further international collaborations and interdisciplinary applications could enhance his global recognition. Given his academic excellence, research productivity, and leadership, Dr. Fu is a strong candidate for prestigious research awards. His continued dedication to mathematical formalization and theorem proving promises to push the boundaries of computer-aided mathematics, making him a valuable asset to the scientific community.

Publications Top Noted

  • Title: A Formalization of Topological Spaces in Coq

      • Authors: Sheng Yan, Yaoshun Fu, Dakai Guo, Wensheng Yu
      • Year: July 2022
      • Citations: 5
      • Source: Lecture Notes in Electrical Engineering

  • Title: Formalizing Calculus without Limit Theory in Coq

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: June 2021
      • Citations: 4
      • Source: Mathematics

  • Title: Formalization of the Equivalence among Completeness Theorems of Real Number in Coq

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: December 2020
      • Citations: 5
      • Source: Mathematics

  • Title: A Formalization of Properties of Continuous Functions on Closed Intervals

      • Authors: Yaoshun Fu, Wensheng Yu
      • Year: July 2020
      • Citations: 3
      • Source: Lecture Notes in Computer Science

  • Title: A Formal Proof in Coq of Cantor-Bernstein-Schroeder’s Theorem without Axiom of Choice

      • Authors: Xiaoyan Zao, Tianyu Sun, Yaoshun Fu, Wensheng Yu
      • Year: July 2019
      • Citations: 1
      • Source: Conference Paper

  • Title: A Formal Proof in Coq of Cantor-Bernstein-Schroeder’s Theorem without Axiom of Choice

      • Authors: Yaoshun Fu, Tianyu Sun, Wensheng Yu
      • Year: November 2019
      • Citations: Not specified
      • Source: Conference Paper

 

Kaviyarasu M | Graph Theory | Best Researcher Award

Published on by Math Scientist

Assist. Prof. Dr. Kaviyarasu M | Graph Theory | Best Researcher Award

Assistant Professor at Vel Tech Rangarajan Dr Sagunthala R &D institute of Science and Technology, India

Dr. M. Kaviyarasu is an accomplished mathematician and researcher specializing in fuzzy algebra, neutrosophic algebra, graph theory, and functional analysis. With a Ph.D. in Mathematics from VIT University, Vellore, he has over a decade of teaching experience and extensive research contributions in advanced mathematical structures. He has authored two books, published 35 research papers in reputed journals, and holds two patents. Dr. Kaviyarasu actively contributes to the academic community as a reviewer for international journals and serves as a lifetime member of IAENG. His leadership in organizing international awards and involvement in academic committees highlight his commitment to advancing mathematical research. Recognized with the “Best Researcher of the Year 2022” award, he continues to make significant contributions to fuzzy and neutrosophic set applications. Currently an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute, Chennai, he remains dedicated to pioneering research and academic excellence.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. M. Kaviyarasu holds a Ph.D. in Mathematics from VIT University, Vellore, where he specialized in fuzzy algebra and its applications. His academic journey began with a strong foundation in pure and applied mathematics, earning both his Bachelor’s and Master’s degrees with distinction. Passionate about mathematical structures and their real-world applications, he pursued advanced studies in fuzzy sets, neutrosophic algebra, and graph theory, demonstrating exceptional analytical and problem-solving skills. His doctoral research focused on developing novel algebraic models for uncertainty and imprecision, significantly contributing to the field. Dr. Kaviyarasu has also participated in various specialized training programs and workshops on mathematical modeling, functional analysis, and computational techniques, further enriching his expertise. His continuous pursuit of knowledge and research excellence has enabled him to contribute extensively to academia, making significant strides in theoretical and applied mathematics.

Professional Experience

Dr. M. Kaviyarasu has over a decade of experience in teaching and research, mentoring students in advanced mathematical concepts. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, where he actively engages in curriculum development and innovative teaching methodologies. Previously, he held academic positions at renowned institutions, where he played a pivotal role in fostering research initiatives. His professional journey is marked by a commitment to interdisciplinary collaboration, working with experts in applied mathematics, computer science, and engineering to develop cutting-edge solutions. Dr. Kaviyarasu has also contributed as a reviewer for international journals, ensuring the quality and integrity of published research. His leadership in organizing international awards, seminars, and workshops highlights his dedication to advancing mathematical education and research. Through his academic endeavors, he continues to inspire students and young researchers to explore the vast potential of mathematical sciences.

Research Interest

Dr. M. Kaviyarasu’s research interests lie at the intersection of fuzzy algebra, neutrosophic algebra, graph theory, and functional analysis. His work explores novel mathematical frameworks to address uncertainty, vagueness, and indeterminacy in real-world problems. He has made significant contributions to the study of fuzzy group theory, neutrosophic sets, and their applications in decision-making, artificial intelligence, and data science. His research also extends to combinatorial mathematics and graph theory, with applications in network analysis and optimization. Dr. Kaviyarasu’s passion for interdisciplinary research has led him to collaborate with experts in engineering, physics, and computer science to develop innovative mathematical models. His scholarly contributions include over 35 research papers in high-impact journals, two authored books, and two patents, reflecting his commitment to mathematical advancements. His research continues to push the boundaries of theoretical and applied mathematics, contributing valuable insights to the scientific community.

Awards and Honors

Dr. M. Kaviyarasu has been recognized for his outstanding contributions to mathematical research and education. In 2022, he received the prestigious “Best Researcher of the Year” award for his groundbreaking work in fuzzy algebra and its applications. His research achievements have earned him accolades from various academic institutions and research organizations. He is a lifetime member of the International Association of Engineers (IAENG), further cementing his status as a respected figure in the mathematical community. In addition to his research honors, he has been invited as a keynote speaker at numerous international awards, sharing his expertise with scholars and industry professionals. Dr. Kaviyarasu’s commitment to academic excellence and innovation continues to garner recognition, inspiring future mathematicians to explore complex mathematical structures. His contributions to research, teaching, and professional service highlight his dedication to advancing the field of mathematics on a global scale.

Conclusion

Dr. M. Kaviyarasu is a distinguished mathematician, educator, and researcher with expertise in fuzzy and neutrosophic algebra, graph theory, and functional analysis. His academic and professional journey is marked by a commitment to research excellence, interdisciplinary collaboration, and innovative teaching. With over 35 published research papers, two authored books, and two patents, his contributions to mathematical sciences are substantial and impactful. His dedication to mentoring students, organizing academic events, and reviewing research for prestigious journals underscores his role as a leader in the field. Recognized with prestigious awards, he continues to push the frontiers of mathematical research while inspiring the next generation of scholars. As an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute, he remains devoted to fostering academic growth and exploring new mathematical paradigms. Through his work, Dr. Kaviyarasu significantly contributes to the advancement of mathematical knowledge and its applications in science and technology.

Publications Top Noted

  • Title: Application of Complex Neutrosophic Graphs in Hospital Infrastructure Design

    • Authors: M. Alqahtani, M. Kaviyarasu, A. Al-Masarwah, M. Rajeshwari
    • Year: 2024
    • Citations: 17
    • Source: Mathematics 12 (5), 719

  • Title: Complex t-Intuitionistic Fuzzy Graph with Applications of Rubber Industrial Water Wastes

    • Authors: M. Kaviyarasu, M. Alqahtani, M. Rajeshwari, G. Sudalaimuthu
    • Year: 2024
    • Citations: 14
    • Source: Mathematics 12 (13), 1950

  • Title: Fuzzy Sub-Algebras and Fuzzy K-Ideals in INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2017
    • Citations: 14
    • Source: International Journal of Pure and Applied Mathematics 113 (6), 47-55

  • Title: Fuzzy p-Ideal in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2020
    • Citations: 13
    • Source: Journal of Xian University of Architecture and Technology 12 (3), 4746-4752

  • Title: Review on BCI/BCK-Algebras and Development

    • Authors: M. Kaviyarasu, K. Indhira
    • Year: 2017
    • Citations: 13
    • Source: Infinite Study

  • Title: Identifying Internet Streaming Services Using Max Product of Complement in Neutrosophic Graphs

    • Authors: W.F. Al-Omeri, M. Kaviyarasu, M. Rajeshwari
    • Year: 2024
    • Citations: 12
    • Source: International Journal of Neutrosophic Science

  • Title: The Connectivity Indices Concept of Neutrosophic Graph and Their Application in Computer Network, Highway System, and Transport Network Flow

    • Authors: M. Kaviyarasu, M. Aslam, F. Afzal, M. Mohammed Saeed, A. Mehmood, et al.
    • Year: 2024
    • Citations: 11
    • Source: Scientific Reports 14 (1), 4891

  • Title: Neutrosophic Set in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2020
    • Citations: 8
    • Source: Infinite Study

  • Title: On r-Edge Regular Neutrosophic Graphs

    • Authors: M. Kaviyarasu
    • Year: 2023
    • Citations: 7
    • Source: Neutrosophic Sets and Systems 53, 239-250

  • Title: Bipolar Fuzzy Graph on Certain Topological Indices

    • Authors: M. Rajeshwari, R. Murugesan, M. Kaviyarasu, C. Subrahmanyam
    • Year: 2022
    • Citations: 7
    • Source: Journal of Algebraic Statistics 13 (3), 2476-2481

  • Title: Direct Product of Intuitionistic Fuzzy K-Ideals of INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2019
    • Citations: 7
    • Source: Materials Today: Proceedings 16, 449-455

  • Title: Study on Neutrosophic Graph with Application on Earthquake Response Center in Japan

    • Authors: W.F. Al-Omeri, M. Kaviyarasu
    • Year: 2024
    • Citations: 6
    • Source: Symmetry 16 (6), 743

  • Title: Circular Economy Strategies to Promote Sustainable Development Using t-Neutrosophic Fuzzy Graph

    • Authors: M. Kaviyarasu, H. Rashmanlou, S. Kosari, S. Broumi, R. Venitha, et al.
    • Year: 2024
    • Citations: 6
    • Source: Neutrosophic Sets and Systems 72 (1), 9

  • Title: Interval-Valued Fuzzy Subalgebra and Fuzzy INK-Ideal in INK-Algebra

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran, J. Kavikumar
    • Year: 2018
    • Citations: 6
    • Source: Advances in Algebra and Analysis: International Conference on Advances in Mathematics

  • Title: Introduction on INK-Algebras

    • Authors: M. Kaviyarasu, K. Indhira, V.M. Chandrasekaran
    • Year: 2017
    • Citations: 6
    • Source: International Journal of Pure and Applied Mathematics 115 (9), 1-9

 

Ye Li | Information Theory | Best Researcher Award

Published on by Math Scientist

Dr. Ye Li | Information Theory | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology, China

Ye Li is a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, specializing in wireless laser communication, vortex light field modulation, and turbulence effects in seawater and the atmosphere. He holds a degree in Control Science and Engineering from Jiangnan University and has made significant research contributions, publishing 15 SCI papers, including four TOP-tier publications, as the first author. He has also secured a National Natural Science Foundation of China (NSFC) project, demonstrating his research leadership. Additionally, he serves as a reviewer for renowned journals such as Optics Express, Optics Communication, and Applied Optics, reflecting his expertise in optical communication. While his strong publication record and research funding establish him as a competitive candidate for the Best Researcher Award, expanding international collaborations, targeting top-tier journals, and enhancing industry applications could further strengthen his impact and global recognition in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Ye Li earned his degree in Control Science and Engineering from Jiangnan University, a prestigious institution known for its strong emphasis on engineering and applied sciences. His academic background has provided him with a deep understanding of control systems, signal processing, and optical communication technologies. Throughout his studies, he gained expertise in advanced mathematical modeling, automation, and system optimization, which laid the foundation for his research in wireless laser communication and turbulence effects in complex environments. His educational journey equipped him with the technical skills and theoretical knowledge required to tackle real-world challenges in optical and laser-based communication systems. With a strong foundation in engineering principles, Ye Li has transitioned seamlessly into academia, where he continues to push the boundaries of optical and photonic research, contributing to emerging fields such as vortex light field modulation and seawater-atmosphere turbulence modeling through his innovative research and scientific contributions.

Professional Experience

Ye Li currently serves as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, where he plays a key role in mentoring students and advancing research in optical communication. As an active researcher, he has published 15 SCI papers, including four top-tier publications, demonstrating his expertise in his field. His ability to secure funding, including a project from the National Natural Science Foundation of China (NSFC), highlights his research leadership and ability to drive independent projects. Beyond academia, Ye Li actively contributes to the scientific community by serving as a peer reviewer for high-impact journals such as Optics Express, Optics Communication, and Applied Optics, showcasing his reputation as a trusted expert in optical systems. His professional journey is marked by a dedication to pushing the frontiers of wireless laser communication, photonics, and turbulence modeling, positioning him as a rising figure in modern optical research.

Research Interest

Ye Li’s research focuses on wireless laser communication, vortex light field modulation, and turbulence effects in seawater and atmospheric environments. His work aims to improve the efficiency, security, and reliability of optical communication systems, which are crucial for high-speed data transmission in complex environments. By studying the modulation of vortex light fields, he contributes to advancing structured light technology, enabling more robust and efficient optical communication channels. Additionally, his research on seawater and atmospheric turbulence plays a significant role in developing technologies for remote sensing, underwater communication, and aerospace applications. His interdisciplinary approach, combining optical physics, signal processing, and engineering, positions him at the forefront of photonic research. With a strong emphasis on practical applications, his studies have implications for next-generation communication systems, defense technologies, and environmental monitoring, making his research highly relevant in both academic and industrial sectors.

Awards and Honors

Ye Li has earned recognition for his contributions to optical communication and photonics research. His most notable achievement is securing a National Natural Science Foundation of China (NSFC) research project, a highly competitive grant that underscores the importance and impact of his work. Publishing 15 SCI-indexed papers, including four in top-tier journals, is a testament to his dedication to high-quality research. Additionally, his role as a reviewer for prestigious journals such as Optics Express, Optics Communication, and Applied Optics highlights his influence in the scientific community. While he has not yet received widespread international recognition, his research productivity, secured funding, and peer-review contributions indicate strong potential for future awards in optical communication and photonics. As he continues to expand his research portfolio and collaborations, Ye Li is well-positioned to achieve further distinctions and recognition in his field.

Conclusion

Ye Li is an emerging researcher making significant contributions to wireless laser communication, vortex light field modulation, and optical turbulence modeling. With a strong educational foundation in Control Science and Engineering, he has built a robust academic career as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology. His impressive publication record, funding achievements, and peer-review activities position him as a respected figure in optical communication research. While his work is already making an impact, expanding international collaborations, targeting higher-impact journals, and increasing real-world applications will further enhance his global recognition. His strong technical expertise, dedication to advancing photonic research, and contributions to the scientific community make him a promising candidate for prestigious research awards in the future.

Publications Top Noted

  1. Title: Neural Network

    • Authors: Y. Xie (Yaqin), T. Wang (Teqi), Z. Xing (Ziling), Y. Zhang (Yu), Y. Li (Ye)
    • Year: 2022
    • Citations: 4
    • Source: Arabian Journal for Science and Engineering

  2. Title: Displacements of a Spatially Limited Light Beam in the Slant Path of Oceanic Turbulence

    • Authors: Y. Li (Ye), B. Li (Baolong), H. Jiang (Haolin)
    • Year: 2022
    • Citations: 7
    • Source: Optics Express

  3. Title: An Improved Indoor Location Algorithm Based on Backpropagation Neural Network

    • Authors: Xie, Y., …, Li, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Arabian Journal for Science and Engineering, Volume 47, Issue 11, November 2022

  4. Title: Influence of Structural Length-Scale Sensitivities on Hermite–Gaussian Rectangular Vortex Beam Propagation in Biological Tissues

    • Authors: Li, Y., …, Xie, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Journal of Modern Optics, Volume 69, Issue 19, 2022

 

 

Rushu Zhuang | Algebra | Women Researcher Award

Published on by Math Scientist

Prof. Rushu Zhuang | Algebra | Women Researcher Award

Lecturer at China University of Geosciences, Wuhan, China

Dr. Zhuang Rushu is a dedicated researcher specializing in Lie algebras and quantum groups, currently pursuing her Ph.D. in Pure Mathematics at East China Normal University. She has made significant contributions to algebraic structures, particularly in admissible quantum affine algebras and their PBW basis, with multiple publications in reputable journals such as Communications in Algebra and Journal of Geometry and Physics. Her research is recognized in the Chinese Mathematical Society Classification (T2, T3) and CAS Ranking (Zone 3). She has also gained teaching experience at Fudan High School Pudong Campus, mentoring students in mathematics. An early participant in research, she contributed to an undergraduate innovation project that led to a published study on ω-Lie algebras. While her work is highly theoretical, expanding her international collaborations and outreach for women in STEM would enhance her impact. With her strong academic foundation and research achievements, she is a promising candidate for a Women Researcher Award.

Professional Profile 

Scopus Profile

Education

Dr. Zhuang Rushu has pursued an extensive academic journey in pure mathematics, specializing in Lie algebras and quantum groups. She is currently a Ph.D. candidate at East China Normal University, where she is engaged in advanced research in algebraic structures. Prior to her doctoral studies, she completed her M.S. in Pure Mathematics from the same institution (2017–2020), gaining expertise in areas such as Hecke algebras, Hopf algebras, and representation theory. Her undergraduate studies in Mathematics and Applied Mathematics were completed at Northeast Normal University (2013–2017), where she actively participated in research projects, laying the foundation for her specialization in algebra. Her academic training has equipped her with strong theoretical and analytical skills, enabling her to make substantial contributions to the field. Throughout her education, she has developed a solid background in homological algebra, finite group representations, and quantum affine algebras, positioning her as a promising researcher in mathematics.

Professional Experience

Dr. Zhuang Rushu has demonstrated a strong commitment to both research and teaching. During her doctoral studies, she has been actively involved in mathematical research, publishing papers in well-regarded journals and collaborating with leading mathematicians. In addition to her research contributions, she gained practical teaching experience as a teacher at Fudan High School Pudong Campus (2019), where she conducted after-class exercises and provided tutoring. This experience reflects her ability to communicate complex mathematical concepts effectively, an essential skill for both academia and mentorship. Furthermore, she participated in an undergraduate innovation and entrepreneurship project, where she contributed to the classification of ω-Lie algebras under the guidance of Professor Chen Yin. Her professional experience highlights her dual expertise in both theoretical research and student engagement, making her well-equipped for future academic roles. By combining research with mentorship, she continues to contribute to the development of mathematical sciences and education.

Research Interest

Dr. Zhuang Rushu’s research primarily focuses on Lie algebras and quantum groups, which play a fundamental role in modern algebra, representation theory, and mathematical physics. Her work includes studying admissible quantum affine algebras, their PBW basis, and RLL-realizations of two-parameter quantum affine algebras in different types. She is particularly interested in exploring the structural properties and classification of algebraic systems, including Hopf algebras, Hecke algebras, and finite group representation theory. Her research also intersects with areas such as homological algebra and derived categories, providing deep insights into algebraic frameworks. She has published extensively on these topics in journals like Communications in Algebra and Journal of Geometry and Physics. While her research is largely theoretical, it has potential applications in mathematical physics, coding theory, and cryptography. Moving forward, expanding her work into interdisciplinary areas could further enhance the impact of her findings in applied mathematics.

Awards and Honors

Dr. Zhuang Rushu has earned recognition for her academic and research excellence. She has published multiple papers in well-established mathematical journals, with her work classified in high-ranking categories by the Chinese Mathematical Society and CAS. Her research on ω-Lie algebras, completed as part of an undergraduate innovation project, was recognized with publication in Communications in Algebra, highlighting her early contributions to mathematical research. Additionally, her collaborative work on quantum affine algebras and their applications has been acknowledged within the algebra research community. Although she has not listed specific individual awards, her selection for significant research collaborations and publications in internationally recognized mathematical journals indicates her growing influence in the field. To further enhance her academic profile, seeking research grants, fellowships, and international mathematics awards could provide greater visibility and recognition for her contributions to pure mathematics.

Conclusion

Dr. Zhuang Rushu is an emerging researcher in the field of Lie algebras and quantum groups, demonstrating remarkable potential through her rigorous academic training and research contributions. Her strong foundation in algebraic structures, combined with publications in reputable journals, positions her as a promising mathematician. Her work in admissible quantum affine algebras and two-parameter quantum affine algebras has advanced the theoretical understanding of algebraic systems. While she has already made significant contributions, expanding her international collaborations, independent research leadership, and outreach for women in STEM would further strengthen her academic impact. Her teaching experience at Fudan High School Pudong Campus reflects her ability to mentor young students, contributing to mathematics education. With continued focus on interdisciplinary applications and broader mathematical outreach, Dr. Zhuang is well on her way to establishing herself as a leading researcher in her field, making her a strong candidate for future academic and research awards.

Publications Top Noted

  • Title: “Derivations, Automorphisms, and Representations of Complex ω-Lie Algebras”

    • Authors: Yin Chen, Ziping Zhang, Runxuan Zhang, Rushu Zhuang
    • Year: 2018
    • Citation: Chen, Y., Zhang, Z., Zhang, R., & Zhuang, R. (2018). Derivations, Automorphisms, and Representations of Complex ω-Lie Algebras. Communications in Algebra, 46(2), 708–726.

  • Title: “A Novel Admissible Quantum Affine Algebra of Type A1(1) and Its PBW Basis”

    • Authors: Naihong Hu, Rushu Zhuang
    • Year: 2021
    • Citation: Hu, N., & Zhuang, R. (2021). A Novel Admissible Quantum Affine Algebra of Type A1(1) and Its PBW Basis. In Hopf Algebras, Tensor Categories, and Related Topics (pp. 153–170). American Mathematical Society.

  • Title: “Another Admissible Quantum Affine Algebra of Type A1(1) with Quantum Weyl Group”

    • Authors: Ge Feng, Naihong Hu, Rushu Zhuang
    • Year: 2021
    • Citation: Feng, G., Hu, N., & Zhuang, R. (2021). Another Admissible Quantum Affine Algebra of Type A1(1) with Quantum Weyl Group. Journal of Geometry and Physics, 165, 104218.

  • Title: “RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Dn(1)”

    • Authors: Rushu Zhuang, Naihong Hu, Xiao Xu
    • Year: Forthcoming
    • Citation: Zhuang, R., Hu, N., & Xu, X. (Forthcoming). RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Dn(1). Pacific Journal of Mathematics.

  • Title: “RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Bn(1)”

    • Authors: Naihong Hu, Xiao Xu, Rushu Zhuang
    • Year: Submitted
    • Citation: Hu, N., Xu, X., & Zhuang, R. (Submitted). RLL-Realization of Two-Parameter Quantum Affine Algebra in Type Bn(1).

  • Title: “Admissible Quantum Affine Algebra of Type A1(1), Drinfeld Realization and Vertex Representation”

    • Authors: Naihong Hu, Rushu Zhuang
    • Year: Preprint
    • Citation: Hu, N., & Zhuang, R. (Preprint). Admissible Quantum Affine Algebra of Type A1(1), Drinfeld Realization and Vertex Representation.

 

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

Professional Profile 

Google Scholar

Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69