Mousa J. Huntul | Mathematics | Research Excellence Award

Published on | Editorial Board by World Top Scientists

Research Excellence Award

Mousa J. Huntul – Jazan University

Mousa J. Huntul
Affiliation Jazan University
Country Saudi Arabia
Scopus ID 57192910985
Documents 339
Citations 637
h-index 14T
Subject Area Mathematics
Event World Top Scientist Awards
ORCID 0000-0001-5247-2913

Mousa J. Huntul is a Saudi Arabian mathematician and academic researcher affiliated with Jazan University. His research activities primarily focus on inverse problems, applied mathematics, nonlinear partial differential equations, numerical analysis, and fractional differential models. Over the course of his academic career, he has contributed extensively to mathematical modeling methodologies and computational approaches for solving higher-order equations in engineering and physical sciences.[1]

Abstract

This article presents an overview of the academic achievements and mathematical research contributions of Mousa J. Huntul in the field of applied mathematics. His studies focus extensively on inverse problems, numerical analysis, free boundary systems, heat equations, and fractional differential equations. Through a substantial body of peer-reviewed research, Huntul has contributed to the theoretical and computational advancement of mathematical sciences. His published works demonstrate interdisciplinary relevance across engineering, physics, and computational modeling applications.[3]

Keywords

Applied Mathematics, Inverse Problems, Numerical Analysis, Fractional PDEs, Heat Equations, Mathematical Modeling, Scientific Computing, Computational Mathematics, Free Boundary Problems, Differential Equations.

Introduction

Mathematics continues to play an essential role in solving scientific and engineering challenges through advanced modeling and computational frameworks. Within this context, researchers specializing in inverse problems and nonlinear equations contribute significantly to technological and analytical development. Mousa J. Huntul has emerged as a recognized scholar in this domain through his sustained research productivity and methodological innovations in applied mathematics.[4]

Research Profile

The research profile of Mousa J. Huntul reflects strong engagement with inverse problems involving parabolic, hyperbolic, and pseudo-parabolic equations. His studies investigate the reconstruction of unknown coefficients and source terms through analytical and computational techniques. These investigations are relevant in thermal systems, engineering models, and wave propagation analysis. His work also addresses stability conditions and numerical reconstruction procedures for higher-order differential systems.[5]

Research Contributions

Among his notable contributions are studies related to inverse boundary value problems, time-dependent thermal coefficients, nonlinear integro-differential equations, and free boundary systems. His work has introduced computational approaches capable of improving solution accuracy for complex mathematical models. Several of his studies examine higher-order pseudo-parabolic equations and inverse heat conduction problems under nonlocal boundary conditions.[3]

Publications

  • “Uniqueness and CN–Bell Spectral Reconstruction of Three Time-Dependent Coefficients in a Parabolic Inverse Problem with Quadratic Spatial Diffusivity”, Mathematics, 2026.
  • “Computational modeling of wave propagation phenomena via a fractional Klein–Gordon equation with modified Atangana-Baleanu-Caputo derivative”, Ain Shams Engineering Journal, 2026.
  • “Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel”, Results in Applied Mathematics, 2024.

Research Impact

The research impact of Mousa J. Huntul is reflected through his Scopus-indexed publications, citation metrics, and collaborative research output. His investigations contribute to the advancement of inverse mathematical modeling techniques and numerical solution frameworks. These methodologies support applications in engineering analysis, heat transfer systems, and computational physics. The growing citation profile associated with his work indicates continued scholarly engagement within the applied mathematics community.[2]

Award Suitability

The academic profile of Mousa J. Huntul demonstrates suitability for recognition within international scientific award platforms focused on mathematical sciences and computational research. His consistent publication activity, international collaborations, and methodological contributions indicate a sustained commitment to scholarly excellence. The combination of theoretical analysis and applied numerical methods further supports the practical relevance of his research achievements.[5]

Conclusion

Mousa J. Huntul represents an active contributor to applied mathematics research with specialization in inverse problems, numerical analysis, and fractional differential systems. His publications and collaborative investigations continue to support advancements in mathematical modeling and computational methodologies. Through academic scholarship, peer-reviewed publications, and institutional engagement, Huntul has established a visible presence within the international mathematical sciences community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mousa J. Huntul, Author ID 57192910985. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192910985
  2. Huntul, M. J. (2026). Computational modeling of wave propagation phenomena via a fractional Klein–Gordon equation with modified Atangana-Baleanu-Caputo derivative. Ain Shams Engineering Journal.
    https://doi.org/10.1016/j.asej.2026.104039
  3. Huntul, M. J. (2024). Analyzing inverse backward problem in nonlinear integro-differential equation with memory kernel. Results in Applied Mathematics.
    https://doi.org/10.1016/j.rinam.2024.100517
  4. Huntul, M. J. (2022). Identification of time‐dependent potential in a fourth‐order pseudo‐hyperbolic equation from additional measurement. Mathematical Methods in the Applied Sciences.
    https://doi.org/10.1002/mma.8104
  5. Huntul, M. J. (2021). Determination of the time-dependent convection coefficient in two-dimensional free boundary problems. Engineering Computations.
    https://doi.org/10.1108/ec-10-2020-0562

Sikander Ali | Mathematics | Young Scientist Award

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Mr. Sikander Ali | Mathematics | Young Scientist Award

Research Associate | Riphah International University | Pakistan

Mr. Sikander Ali is a Research Associate at Riphah International University and a mathematician specializing in graph theory, network modeling, and applied mathematical structures. His academic background includes advanced degrees in mathematics with strong specialization in graph theory, numerical analysis, differential equations, and cryptographic models, supported by thesis research on nano-network resolvability and elliptic curve cryptography. Professionally, he contributes to theoretical research through rigorous literature analysis, development of mathematical models, and collaborative research projects, while actively supporting scholarly writing, simulations, and dissemination of findings. His research focuses on distance-based graph invariants, nano-scale network analysis, metric and partition dimensions, and fault-tolerant graph parameters, with multiple novel definitions and studies submitted for publication and cited within the research community. His work demonstrates originality, analytical depth, and growing academic impact, reflected through peer recognition, citations, and ongoing research contributions, highlighting strong potential for future leadership and excellence in mathematical research and innovation.

Citation Metrics (Google Scholar)

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Engin Özkan | Mathematics | Research Excellence Award

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Prof. Dr. Engin Özkan | Mathematics | Research Excellence Award

Head of the Department Of mathematics | Marmara University | Turkey

Prof. Dr. Engin Özkan is a Professor of Mathematics at Marmara University and an established researcher in algebra and number theory, with particular expertise in number sequences and group structures. He holds undergraduate and graduate degrees in mathematics, culminating in doctoral specialization on Fibonacci-type sequences in finite nilpotent groups. His professional experience spans academic appointments at leading institutions, international research engagement, and sustained leadership in graduate education through the supervision of multiple doctoral theses on generalized number sequences, polynomials, and related algebraic applications. His research focuses on Fibonacci, Narayana, Gaussian, and related number sequences, their algebraic properties, polynomial representations, and applications within group theory and number theory, resulting in a substantial body of peer-reviewed publications with strong citation impact. His scholarly contributions demonstrate methodological depth, continuity, and originality, reflected in a solid h-index and i10-index. He is recognized for advancing sequence theory, mentoring emerging researchers, and contributing to the mathematical research community through sustained academic productivity and international visibility.

Citation Metrics (Google Scholar)

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Makhmud Bobokandov | Mathematics | Young Scientist Award

Published on | Editorial Board by World Top Scientists

Dr. Makhmud Bobokandov | Mathematics | Young Scientist Award

Researcher | National University of Uzbekistan Uzbekistan

Dr. Bobokandov Makhmud is a Senior Lecturer and Researcher in applied mathematics and computational analysis, specializing in mathematical modeling and numerical methods. He holds undergraduate and postgraduate degrees in applied mathematics, information technologies, and mathematical simulations, with doctoral-level specialization in diffusion processes and nonlinear parabolic equations. His professional experience spans academic teaching, research leadership, and participation in nationally funded research projects, including roles as senior and junior researcher on large-scale fundamental grants. His research focuses on nonlinear physical processes, qualitative analysis of differential equations, self-similar solutions, numerical simulations, and data analysis, with published scholarly contributions cited across multiple peer-reviewed works. He has contributed to advancing applied mathematical modeling through interdisciplinary approaches integrating computation and programming. His achievements include competitive national scholarships, government-recognized research funding, and awards for academic excellence. He has further strengthened his expertise through internationally recognized certifications in data analysis, machine learning, scientific computing, and programming, demonstrating sustained commitment to research excellence, academic leadership, and future innovation potential.

Citation Metrics (Scopus)

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Muhammad Amin Murad | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Muhammad Amin Murad | Mathematics | Best Researcher Award

University of Duhok, Iraq

Dr. Muhammad Amin Sadiq Murad is an accomplished Assistant Professor in the Department of Mathematics at the College of Science, University of Duhok in the Kurdistan Region of Iraq. With a strong foundation in applied mathematics and computational modeling, he has made significant strides in research areas such as optical solitons, fractional differential equations, and fluid dynamics. Dr. Murad is known for his remarkable research productivity, having authored or co-authored more than 35 peer-reviewed papers in high-impact journals. His interdisciplinary approach bridges the gap between mathematical theory and practical application in physics, engineering, and finance. A dedicated academic, he has been actively involved in teaching undergraduate courses, supervising academic activities, and contributing to institutional development. Dr. Murad combines academic excellence with international exposure, having earned distinctions throughout his educational career, including a Master’s degree from Swansea University in the UK. His work with collaborators from diverse global institutions highlights his strong international academic presence. His career reflects a blend of innovative research, effective teaching, and professional service, positioning him as a respected figure in the fields of applied mathematics and mathematical physics. His contributions continue to inspire emerging researchers in the region and beyond.

Professional Profile

Education

Dr. Murad’s educational journey reflects a consistent pursuit of academic excellence. He obtained his Bachelor of Science degree in Pure and Applied Mathematics from Salahaddin University-Erbil between 2005 and 2009, graduating top of his class. He went on to earn his Master of Science in Mathematics and Computing in Finance from Swansea University, United Kingdom, in 2014, graduating with distinction. His master’s thesis focused on “Pure Jump Lévy Process of Asset Price,” highlighting his early interest in stochastic modeling and financial mathematics. He later pursued a Ph.D. in Applied Mathematics at the University of Duhok, which he completed in 2023 with distinction. His doctoral work further deepened his expertise in applied and computational mathematics, especially in the areas of nonlinear differential equations and mathematical modeling. Throughout his academic training, he undertook advanced courses in statistics, numerical methods, financial mathematics, and programming. He also developed a strong command of scientific software such as MATLAB, which he integrates into his teaching and research. Dr. Murad’s educational background has laid a robust theoretical and practical foundation that supports his interdisciplinary research endeavors in applied mathematics, making him an asset to both academic and scientific communities.

Professional Experience

Dr. Murad brings over 15 years of rich academic and professional experience to the field of mathematics. He began his teaching career in 2009 at Salahaddin University’s College of Education, and since then, he has held multiple academic positions across leading institutions in the Kurdistan Region. Since 2014, he has served as an Assistant Lecturer and then Assistant Professor at the University of Duhok, where he continues to teach undergraduate courses and mentor students in applied mathematics. He has also contributed significantly to Cihan University Duhok, particularly within the Department of Financial and Banking Sciences. Beyond teaching, he has taken on several administrative and academic service roles, including membership on examination committees and serving as a college staff representative. His academic responsibilities span a broad range of subjects, including probability and statistics, numerical analysis, financial mathematics, and MATLAB programming. Dr. Murad’s professional engagements emphasize his commitment to high-quality teaching, curriculum development, and research collaboration. His multifaceted career reflects not only his expertise in mathematics but also his dedication to advancing educational standards and nurturing academic excellence within the region’s higher education system.

Research Interests

Dr. Muhammad Amin Sadiq Murad’s research interests lie at the intersection of applied mathematics, computational modeling, and mathematical physics. He specializes in the study of nonlinear differential equations, fractional calculus, and soliton theory, with particular emphasis on their applications in fluid dynamics and optical communication systems. His recent focus on time-fractional Schrödinger, Fokas, and Ginzburg–Landau equations has produced valuable insights into the behavior of optical solitons in monomode and dual-core fiber optics. Additionally, Dr. Murad explores heat and mass transfer problems involving non-Newtonian fluids and employs numerical techniques such as the Kudryashov method and integral transforms to derive analytical and semi-analytical solutions. He also has a background in financial mathematics, particularly in asset pricing models using Lévy processes. His body of work demonstrates a commitment to producing practical solutions for complex physical and engineering systems. By collaborating with international researchers, Dr. Murad has expanded the applicability and reach of his research. He aims to continue bridging theory and application, particularly in the development of mathematical tools for real-world systems involving wave propagation, electromagnetic fields, and heat flow, making him a leader in computational applied mathematics in the region.

Awards and Honors

Dr. Muhammad Amin Sadiq Murad has received numerous recognitions throughout his academic and research career, reflecting his outstanding contributions to the mathematical sciences. He graduated with distinction at every academic level, a testament to his consistent scholarly excellence. His first major academic distinction came as an undergraduate, where he ranked first in his class at Salahaddin University. His Master’s degree from Swansea University was awarded with distinction, and he received further accolades for his doctoral work, which also earned distinction at the University of Duhok. While formal awards in the form of national or international prizes are not detailed, his prolific research record and invitations to co-author high-impact journal articles are clear indicators of his standing in the academic community. His participation in international conferences, inclusion in collaborative publications with global scholars, and editorial contributions reflect his growing reputation as a leading researcher. Dr. Murad’s achievements continue to garner attention in academic circles across the Middle East and beyond. As his career progresses, he is well-positioned to earn more formal honors and research awards, especially given his groundbreaking work in nonlinear optics, fractional systems, and advanced computational mathematics.

Conclusion

Dr. Muhammad Amin Sadiq Murad demonstrates exceptional academic rigor, prolific research output, and specialization in high-impact areas of applied mathematics. His rapid post-Ph.D. productivity, international collaborations, and commitment to academic excellence make him a strong contender for a Best Researcher Award, particularly in the early to mid-career category.

Recommendation: ✅ Highly suitable, especially if the award considers publication quality, research novelty, and academic leadership.

Publications Top Notes

  • Author(s): Murad, M.A.S., Ismael, H.F., Sulaıman, T.A.
    Year: 2025
    Title: Resonant optical soliton solutions for time-fractional nonlinear Schrödinger equation in optical fibers
    Journal: Journal of Nonlinear Optical Physics and Materials
    Citations: 2

  • Author(s): Murad, M.A.S., Faridi, W.A., Jhangeer, A., Arnous, A.H., Tchier, F.
    Year: 2025
    Title: The fractional soliton solutions and dynamical investigation for planer Hamiltonian system of Fokas model in optical fiber
    Journal: AEJ – Alexandria Engineering Journal
    Citations: 0

  • Author(s): Murad, M.A.S., Hamasalh, F.K., Malik, S., Arnous, A.H., Iqbal, M.
    Year: 2025
    Title: Analysis of soliton solutions to the nonlinear conformable Schrödinger equation in weakly non-local media using two analytic algorithms
    Journal: Nonlinear Dynamics
    Citations: 2

  • Author(s): Zayed, E.M., El-Shater, M., Murad, M.A.S., Ozisik, M., Arnous, A.H.
    Year: 2025
    Title: Investigating broadly dispersive solitons in optical couplers for metamaterials with nonlinear cubic-quintic-septic dynamics and white noise using distinct integration approaches
    Journal: Physics Letters A
    Citations: 0

  • Author(s): Younas, U., Sulaıman, T.A., Ismael, H.F., Murad, M.A.S.
    Year: 2025
    Title: On the study of interaction phenomena to the (2+1)-dimensional Korteweg-de Vries-Sawada-Kotera-Ramani equation
    Journal: Modern Physics Letters B
    Citations: 2

  • Author(s): Murad, M.A.S., Omar, F.M.
    Year: 2025
    Title: Optical solitons, dynamics of bifurcation, and chaos in the generalized integrable (2+1)-dimensional nonlinear conformable Schrödinger equations using a new Kudryashov technique
    Journal: Journal of Computational and Applied Mathematics
    Citations: 3

 

Naeem Faraz | Mathematics | Best Faculty Award

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Prof. Naeem Faraz | Mathematics | Best Faculty Award

Professor at University of Shanghai for Science and Technology, China

Dr. Naeem Faraz is a distinguished academic and researcher with dual Ph.D.s in Computational Mathematics and Textile Engineering, specializing in interdisciplinary research that bridges mathematics, engineering, and data science. As a Foreign Expert at Donghua University, Shanghai, China, he has supervised numerous undergraduate and graduate theses while delivering lectures to students from 60+ nationalities. His contributions extend to developing innovative courses and conducting research in applied mathematics, fluid dynamics, and textile engineering. With over 75 publications in high-impact factor journals, his research has significantly contributed to nanotechnology, heat transfer, and statistical modeling. In addition to his academic contributions, Dr. Faraz has actively participated in national and international research projects, showcasing his expertise in computational tools and data analytics. His career is marked by an unwavering commitment to advancing scientific knowledge and mentoring the next generation of researchers, making him a highly respected figure in his field.

Professional Profile

Education

Dr. Naeem Faraz holds an impressive academic background with dual doctorates in Computational Mathematics from Shanghai University, China, and Textile Engineering from Donghua University, China. His Ph.D. research in mathematics focused on viscoelastic flows of PTT fluids, while his doctoral work in textile engineering explored bubble electrospinning for fabricating nanoporous fibers and their mathematical analysis. Before obtaining his Ph.D.s, he earned an M.Phil. in Fluid Mechanics from Quaid-i-Azam University, Islamabad, Pakistan, where he analyzed the thin film flow of an unsteady shrinking sheet through a porous medium. Additionally, he completed an M.Sc. in Applied Mathematics and a B.Sc. in Applied Mathematics & Statistics from leading Pakistani institutions. His educational foundation in mathematics, statistics, and engineering has provided him with the analytical and computational expertise to engage in interdisciplinary research across multiple scientific domains.

Professional Experience

Dr. Naeem Faraz has built a robust academic and research career, serving as a Foreign Expert at Donghua University, China, since 2016. In this role, he has been actively involved in lecturing, supervising research projects, and mentoring students. Prior to this, he completed a Post-Doctoral Fellowship at the Institute of Mathematics and Mechanics, Shanghai University, where he conducted advanced research in computational mathematics. His responsibilities extend beyond teaching, including course development, research supervision, and participation in professional conferences. Dr. Faraz has also contributed to various national and international research collaborations, particularly in applied mathematics, textile engineering, and data analytics. His diverse expertise enables him to work across disciplines, integrating fluid mechanics, nanotechnology, and computational simulations to address complex scientific problems. He has also been involved in training junior lecturers and teaching assistants, ensuring the growth of the academic community through knowledge sharing and mentorship.

Research Interests

Dr. Naeem Faraz’s research spans multiple disciplines, including fluid mechanics, heat transfer, nanotechnology, and data science. He specializes in natural convection and conduction analysis, investigating the effects of nanofluids on heat transfer and the behavior of phase change materials in thermal energy systems. His expertise in fiber fabrication and nanotechnology extends to electrospinning of nanoporous fibers and their mechanical properties. Additionally, he focuses on fluid dynamics, particularly the behavior of Newtonian and non-Newtonian fluids, using computational simulations and mathematical modeling. His work in data science and statistical analysis integrates machine learning techniques to predict and optimize fluid behaviors and thermal efficiency, making his research highly relevant to modern scientific advancements. His interdisciplinary approach enables him to bridge gaps between engineering, mathematics, and computational sciences, further enhancing the applicability of his research.

Awards and Honors

Dr. Naeem Faraz has received numerous accolades throughout his academic career, recognizing his contributions to research and education. His Web of Science Citation Index (SCI) exceeds 1254, with an h-index of 28, reflecting his significant impact in the scientific community. His research achievements have earned him a Cumulative Impact Factor exceeding 125, highlighting the quality of his published work. He has been awarded the Best International Student Award, along with multiple merit-based scholarships during his M.Phil. studies. He also secured CSC and SGS scholarships during his doctoral studies, emphasizing his academic excellence. Additionally, Dr. Faraz ranked first in his college during both B.Sc. and F.Sc., demonstrating his consistent dedication to academic success. His international reputation, scholarly impact, and academic excellence make him a leading researcher in his field, further cementing his legacy as an outstanding educator and scientist.

Conclusion

Dr. Naeem Faraz is a highly qualified, well-published, and interdisciplinary researcher with a strong record in academia. His contributions in research, teaching, and international collaborations make him a very strong contender for the Research for Best Faculty Award. With further leadership roles and independent funding, he could further solidify his standing as an elite academic researcher.

Publications Top Notes

  1. Review on fiber morphology obtained by bubble electrospinning and blown bubble spinning

    • Authors: JH He, HY Kong, RR Yang, H Dou, N Faraz, L Wang, C Feng

    • Year: 2012

    • Citations: 199

  2. The effects of variable viscosity and thermal conductivity on a thin film flow over a shrinking/stretching sheet

    • Authors: Y Khan, Q Wu, N Faraz, A Yildirim

    • Year: 2011

    • Citations: 187

  3. An effective modification of the homotopy perturbation method for MHD viscous flow over a stretching sheet

    • Authors: M Fathizadeh, M Madani, Y Khan, N Faraz, A Yıldırım, S Tutkun

    • Year: 2013

    • Citations: 117

  4. Fractional variational iteration method via modified Riemann–Liouville derivative

    • Authors: N Faraz, Y Khan, H Jafari, A Yildirim, M Madani

    • Year: 2011

    • Citations: 92

  5. Application of modified Laplace decomposition method for solving boundary layer equation

    • Authors: Y Khan, N Faraz

    • Year: 2011

    • Citations: 86

  6. Fractional variational iteration method for fractional initial-boundary value problems arising in the application of nonlinear science

    • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

    • Year: 2011

    • Citations: 83

  7. Exp‐function method for solitary and periodic solutions of Fitzhugh‐Nagumo equation

    • Authors: S Tauseef Mohyud‐Din, Y Khan, N Faraz, A Yıldırım

    • Year: 2012

    • Citations: 76

  8. An auxiliary parameter method using Adomian polynomials and Laplace transformation for nonlinear differential equations

    • Authors: Y Khan, H Vazquez-Leal, N Faraz

    • Year: 2013

    • Citations: 69

  9. Numerical solution of logistic differential equations by using the Laplace decomposition method

    • Authors: S Islam, Y Khan, N Faraz, F Austin

    • Year: 2010

    • Citations: 69

  10. New soliton solutions of the generalized Zakharov equations using He’s variational approach

  • Authors: Y Khan, N Faraz, A Yildirim

  • Year: 2011

  • Citations: 67

  1. Analytical approach to two-dimensional viscous flow with a shrinking sheet via variational iteration algorithm-II

  • Authors: N Faraz, Y Khan, A Yildirim

  • Year: 2011

  • Citations: 63

  1. A new fractional analytical approach via a modified Riemann–Liouville derivative

  • Authors: Y Khan, Q Wu, N Faraz, A Yildirim, M Madani

  • Year: 2012

  • Citations: 61

  1. A coupling method of homotopy perturbation and Laplace transformation for fractional models

  • Authors: Y Khan, N Faraz, S Kumar, A Yildirim

  • Year: 2012

  • Citations: 52

  1. Thin film flow of a second grade fluid over a stretching/shrinking sheet with variable temperature-dependent viscosity

  • Authors: S Nadeem, N Faraz

  • Year: 2010

  • Citations: 51

  1. A series solution of the long porous slider

  • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

  • Year: 2011

  • Citations: 47

  1. A new approach to differential difference equations

  • Authors: Y Khan, N Faraz

  • Year: 2010

  • Citations: 46

  1. Analytical solution of electrically conducted rotating flow of a second grade fluid over a shrinking surface

  • Authors: N Faraz, Y Khan

  • Year: 2011

  • Citations: 43

  1. Heat transfer analysis on the magnetohydrodynamic flow of a non-Newtonian fluid in the presence of thermal radiation: an analytic solution

  • Authors: Y Khan, Q Wu, N Faraz, A Yıldırım, ST Mohyud-Din

  • Year: 2012

  • Citations: 38

  1. A new approach to Van der Pol’s oscillator problem

  • Authors: Y Khan, M Madani, A Yildirim, MA Abdou, N Faraz

  • Year: 2011

  • Citations: 37

  1. An efficient new perturbative Laplace method for space-time fractional telegraph equations

  • Authors: Y Khan, J Diblík, N Faraz, Z Šmarda

  • Year: 2012

  • Citations: 36

 

Vladimir Fedorov | Mathematics | Best Researcher Award

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Prof. Vladimir Fedorov | Mathematics | Best Researcher Award

Head of Mathematical Analysis Department, Chelyabinsk State University, Russia

Vladimir Evgenievich Fedorov, born on March 1, 1972, is a distinguished Professor and Doctor of Physical and Mathematical Sciences. As the Head of the Department of Mathematical Analysis at Chelyabinsk State University, he has made significant contributions to mathematical sciences and education, guiding numerous candidates to advanced degrees. His expertise spans semigroup theory, control theory, and differential equations, earning him national and international recognition, including the ISAAC Award for Young Scientists.

Publication Profile

ORCID

Education 🎓

Vladimir Fedorov completed his higher education in mathematics at Chelyabinsk State University in 1994. He holds a Doctorate in Physical and Mathematical Sciences (2005) and earned the title of Professor in 2007. His academic background laid the foundation for his deep specialization in partial differential equations and mathematical analysis.

Experience 💼

With a career spanning decades, Professor Fedorov has been the head of the Department of Mathematical Analysis at Chelyabinsk State University, leading research in complex mathematical theory and application. He has supervised 13 Ph.D. dissertations and numerous Master’s theses, demonstrating his dedication to advancing the field and mentoring future mathematicians. Additionally, he serves as the Deputy Editor-in-Chief of the Chelyabinsk Physical and Mathematical Journal and is a member of editorial boards for other high-impact journals.

Research Focus 🔬

Fedorov’s research focuses on semigroup theory, control theory, and partial differential equations, with over 143 publications indexed in Scopus. As the head of a Master’s program specializing in Partial Differential Equations, he directs significant research in advanced mathematical theories, impacting both academia and practical applications in mathematical modeling.

Awards and Honors 🏆

Professor Fedorov has received numerous accolades, including the ISAAC Award for Young Scientists for his contributions to semigroup and control theory, and multiple prestigious Russian scientific grants. He is an Honorary Professor of Chelyabinsk State University and Shadrinsk State Pedagogical University and holds the title of Honorary Worker of Education of the Russian Federation.

Publication Top Notes:

Fedorov, V. E. “Advanced Applications in Control Theory.” Progress in Fractional Differentiation and Applications, 2019. Cited by [23 articles].

Fedorov, V. E. “Semigroup Theory in Modern Analysis.” International Journal of Mathematical Modelling and Numerical Optimisation, 2018. Cited by [18 articles].

Anil Sharma | Pure Mathematics | Best Researcher Award

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Assist Prof Dr. Anil Sharma | Pure Mathematics | Best Researcher Award

Assistant Professor, Chandigarh University, India

Dr. Anil Sharma, an accomplished mathematician and Assistant Professor, specializes in Differential Geometry and Mathematical Physics. With a Ph.D. in Mathematics from the Central University of Himachal Pradesh, he brings substantial expertise to his role at Chandigarh University, Punjab, India, where he contributes to the academic and research community in advanced mathematics.

Profile

Scopus

Education 🎓

Dr. Sharma’s academic journey began with a B.Sc. in Mathematics and Computers from Himachal Pradesh University, followed by an M.Sc. in Mathematics (2013) and a Ph.D. in Mathematics (2018) from the Central University of Himachal Pradesh. His research focused on the “Geometry of Warped Products as Pseudo-Riemannian Submanifolds and Related Problems.”

Experience 🏫

Dr. Sharma has served as an Assistant Professor at Chandigarh University (2021–present), Symbiosis International University (2020–2021), and Lovely Professional UniverPure Mathematicssity (2017–2019). His roles have involved teaching mathematics at undergraduate and postgraduate levels and conducting research in Differential Geometry. Additionally, he has held a Teaching Assistant position at the Central University of Himachal Pradesh, where he mentored students in problem-solving and theoretical discussions.

Research Interest 🔍

Dr. Sharma’s research focuses on Differential Geometry, specifically the study of warped product submanifolds within Pseudo-Riemannian spaces. His work also extends to areas of Analysis and Mathematical Physics, with applications in complex structures like Kaehler and paracosymplectic manifolds, further advancing mathematical understanding in these fields.

Awards and Honors 🏅

Dr. Sharma’s accolades include being a school topper in 2006 and receiving a prestigious University Fellowship during his Ph.D. (2014–2017). His contributions to academia are recognized in the mathematical community, where he actively participates in conferences and workshops, sharing his knowledge and insights.

Publications Top Notes 📚

Sharma, A., Srivastava, S. K. “Pointwise Pseudo-slant Warped Product Submanifolds in a Kaehler Manifold.” Mediterranean Journal of Mathematics, 2016. DOI

Sharma, A., Srivastava, S. K. “Geometry of PR-semi-invariant warped product submanifolds in paracosymplectic manifold.” Journal of Geometry, 2016. DOI

Sharma, A., Srivastava, S. K. “A general optimal inequality for warped product submanifolds in paracosymplectic manifolds.” Note di Matematica, 2017. DOI

Sharma, A., Uddin, S., Srivastava, S. K. “Non-existence of PR-semi slant warped product submanifolds in paracosymplectic manifolds.” Arabian Journal of Mathematics, 2018. DOI

Sharma, A., Kumar, A. “Chen type inequality for sequential warped product submanifolds of nearly Kahler manifolds.” Asian-European Journal of Mathematics, 2022. DOI

Dennis Peralta | Mathematics | Best Researcher Award

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Prof. Dennis Peralta | Mathematics | Best Researcher Award

Tecnico de Investigación, UNEMI, Ecuador

Dennis Alfredo Peralta Gamboa is an accomplished Research Technician at the Universidad Estatal de Milagro in Ecuador, specializing in data science and telecommunications. With a strong background in electrical and electronic engineering, Dennis has developed expertise in machine learning, data analysis, and statistical modeling, contributing significantly to his university’s research initiatives. 🌐👨‍💼

Publication Profile

ORCID

Strengths for the Award:

  • Diverse Expertise: Dennis has demonstrated strong technical skills in various fields, including electronic engineering with a specialization in telecommunications, and an impressive focus on data science and machine learning. His extensive training in statistical modeling, data analysis, and automation indicates a strong ability to conduct high-quality, impactful research.
  • Continuous Learning: He has completed numerous certifications and training programs in machine learning, data science, and statistical models. This shows his commitment to staying updated with the latest technologies and methodologies, which is crucial for innovative research.
  • Published Work: His accepted publication in a Scopus Q2 journal is a notable achievement. The research article focuses on user experience with chatbots in higher education, demonstrating his contribution to solving real-world problems through research.
  • Industry and Academic Experience: Dennis has professional experience in both industry and academia, including his current role as a Research Technician at the Universidad Estatal de Milagro. This combination of skills is beneficial for practical application and innovative academic research.

Areas for Improvement:

  • Focus on Research Output: While Dennis has several training courses and certifications, his research output in terms of peer-reviewed journal articles could be expanded. More publications in indexed journals with high impact factors would strengthen his research portfolio.
  • Collaborative Research: There is limited mention of collaborative research projects. Engaging in international collaborations or participating in multidisciplinary projects can elevate his research profile and contribute to a broader range of impactful outcomes.
  • Leadership in Research: Taking on leadership roles in research projects, such as principal investigator positions or directing research initiatives, would highlight his ability to lead teams and manage research outcomes.

Education

Dennis holds a Master’s degree in Applied Data Science from Iexe Universidad and a Bachelor’s degree in Electronic Engineering with a specialization in Telecommunications from Escuela Superior Politécnica del Litoral (2020). His education also includes a high school diploma in Physics and Mathematics (2008). 🎓📊

Experience

With a diverse professional background, Dennis has held several technical roles, including positions as an electrical maintenance assistant at PAPELERA NACIONAL SOCIEDAD ANÓNIMA and a teaching technician at Universidad Estatal de Milagro. He has also worked as a maintenance technician for municipal organizations. Currently, he serves as a Research Technician in the Faculty of Research at Universidad Estatal de Milagro. 🛠️💼

Research Focus

Dennis’s research primarily revolves around data science, machine learning, and statistical modeling. He has a keen interest in the application of these technologies for educational enhancement, including the use of chatbots to improve user experience in higher education. 📊🤖

Awards and Honors

Dennis has not listed any specific awards or honors, but his acceptance of a publication in a Scopus-indexed Q2 journal highlights his growing contributions to the academic community. 🏅🎖️

Publications (Top Notes)

“Unveiling the Core Constructs: A Statistical Approach to Evaluating User Experience with Chatbots in Higher Education (A Case Study from a University in Ecuador)”
Published in Journal of Infrastructure, Policy and Development | Indexed in Scopus, Q2 (Accepted) | Cited by

Conclusion:

Dennis Alfredo Peralta Gamboa has a solid foundation in data science, machine learning, and electronic engineering. His technical knowledge and commitment to continuous learning make him a promising candidate for the Best Researcher Award. However, expanding his research output, engaging in more collaborations, and stepping into leadership roles could further enhance his chances. With these improvements, he has the potential to become a leading researcher in his field.

 

Shailendra Kumar | Mathematical Modelling | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Mr. Shailendra Kumar | Mathematical Modelling | Best Researcher Award

Assistant Professor, Kutir Post Graduate College Chakkey Jaunpur, India

📘 Shailendra Kumar is an Assistant Professor in the Department of Mathematics at Kutir P. G. College, Chakkey, Jaunpur. With a deep commitment to education and research, Shailendra is currently pursuing his Ph.D. in Mathematics at the University of Allahabad. His academic journey is marked by a strong focus on mathematical modeling, which he applies to address complex environmental issues.

Profile

Google Scholar

Analysis for “Best Researcher Award” – Shailendra Kumar

Strengths for the Award:

Shailendra Kumar has demonstrated a strong academic background in Mathematics, having completed his postgraduate studies and currently pursuing a Ph.D. at a reputable institution, the University of Allahabad. His commitment to research is evident through his position as an Assistant Professor at Kutir Post Graduate College. Notably, he has published a research paper in the “International mper Journal of Modelling and Simulation,” focusing on the effects of energy sectors on carbon dioxide emissions and environmental temperature. This publication, indexed in ESCI, indicates his capability to contribute to his field. His research interest in mathematical modeling aligns with current global concerns about climate change, showcasing his ability to apply mathematical concepts to real-world problems.

Areas for Improvement:

While Shailendra Kumar has a solid academic foundation, his research portfolio could benefit from more diversification and depth. He currently lacks completed or ongoing research projects, consultancy or industry projects, books, patents, and professional memberships, which could enhance his professional profile and impact. Additionally, his publication record is limited to one journal indexed in ESCI, with no SCI or Scopus publications listed. Expanding his research outputs, gaining editorial experience, and collaborating with other researchers or institutions could further strengthen his candidacy for the “Best Researcher Award.”

Education:

🎓 Shailendra Kumar completed his postgraduate studies in Mathematics from the University of Allahabad in 2017. He is presently enrolled as a Ph.D. scholar at the same university, where he continues to expand his expertise and contribute to the field of mathematics.

Experience:

👨‍🏫 As an Assistant Professor at Kutir Post Graduate College, Shailendra Kumar brings his passion for mathematics to the classroom, inspiring students to explore and understand complex mathematical concepts. His role involves not only teaching but also mentoring students in their academic pursuits.

Research Interest:

🔍 Shailendra’s primary area of research is mathematical modeling. His work focuses on developing models that analyze the impacts of various factors, such as energy sectors, on environmental issues like carbon dioxide emissions and climate change. This research is crucial in providing insights into sustainable practices and policies.

Publications:

📝 Shailendra has recently published a research paper titled “Effects of Energy Sectors on the Emission of Carbon Dioxide Gas and Environmental Temperature” in the International Mper Journal of Modelling and Simulation (2024). DOI: 10.1080/02286203.2024.2389010. This work is indexed in ESCI and contributes to the understanding of environmental impacts related to energy production and usage.

Conclusion:

Shailendra Kumar has made commendable strides in his academic and research journey, particularly with his recent publication on environmental issues. However, to be a stronger contender for the “Best Researcher Award,” he would need to expand his research activities and collaborations and build a more robust portfolio of publications and professional contributions. With focused efforts on these areas, he could significantly enhance his research impact and standing in the academic community.