Mousa J. Huntul | Mathematics | Research Excellence Award

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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.

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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.

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Makhmud Bobokandov | Mathematics | Young Scientist Award

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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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Top 5 Featured Publications

 

Hatem Belhouchet | Operational Research | Best Researcher Award

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Mr. Hatem Belhouchet | Operational Research | Best Researcher Award

University Polytechnic Hauts-De-France | France

Mr. Hatem Belhouchet is a physical education and sports science specialist serving as Head of Application Assessment within an engineering-focused academic program in France, recognized for his extensive experience in teaching, coaching, and high-performance sport management. He holds advanced qualifications in physical education and sports science, supported by professional certifications in football coaching, video analysis, and physical activity instruction, which strengthen his multidisciplinary expertise. His career encompasses leadership roles as a physical education instructor across diverse educational and clinical environments, along with substantial international coaching experience as a football manager and technical director in multiple countries, where he consistently contributed to team development, competitive advancement, and strategic performance optimization. His work in training and capacity building includes delivering professional development programs for coaches and journalists on decision-making, technical analysis, and football regulations. As a researcher, he has contributed to scholarly discourse through publications addressing multi-criteria decision-making in sport, sustainability assessment, and psychometric validation in healthcare, with conference contributions further extending his academic reach. His achievements include recognized coaching successes, advancement of youth and professional teams, and the attainment of elite coaching licensure, alongside service contributions that demonstrate leadership, methodological rigor, and a commitment to improving decision-support practices in sport and education. This combination of academic work, applied expertise, international coaching accomplishments, and ongoing research positions him as a distinguished candidate for recognition.

Profiles:  Scopus

Featured Publications

1. Belhouchet, H., et al. (2025). MOORA-based assessment of educational sustainability performance in EU-27 countries: Comparing pre-pandemic (2017–2019) and pandemic-affected (2020–2022) periods. Sustainability.

Mr. Hatem Belhouchet’s work advances evidence-based decision-making in sport and education by integrating analytical methods, performance science, and applied coaching practices. His contributions support stronger institutional decision frameworks, enhance athlete and learner outcomes, and promote innovative, data-driven approaches that positively influence both professional practice and broader societal well-being.

Raghavendran Prabakaran | Mathematics | Best Scholar Award

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Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

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

Prabakaran Raghavendran is an emerging scholar in the field of applied mathematics with a research focus on fractional differential equations, control theory, and their applications in artificial intelligence and cryptography. He is currently pursuing a Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, with a dissertation emphasizing the controllability and stability of complex integro-differential systems. His academic record is distinguished by numerous high-quality publications in SCIE and Q1 journals, alongside an impressive portfolio of twelve published patents. He has actively contributed to interdisciplinary research through funded internships in AI applications for neuroscience and energy forecasting. His citation metrics across Scopus, Web of Science, and Google Scholar reflect a growing impact in his field. With a strong blend of theoretical development and applied innovation, he demonstrates both depth and versatility, positioning him as a deserving candidate for recognition through awards such as the Best Scholar Award.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Raghavendran Prabakaran has pursued a rigorous academic journey rooted in mathematics. He completed his undergraduate studies in Mathematics at Loyola College, Chennai, where he developed a strong foundation in core mathematical principles. He further deepened his expertise by completing a postgraduate degree in Mathematics from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, where his academic excellence continued. Currently, he is in the final phase of his doctoral research at the same institution, having submitted his Ph.D. synopsis. His research involves advanced mathematical modeling and analysis of complex differential systems, reflecting his consistent academic progression in theoretical and applied mathematics. His education has been marked by a solid blend of pure mathematics and interdisciplinary application areas, preparing him for high-impact research. Throughout his academic path, he has maintained a strong commitment to scholarly rigor, which is evident in both his coursework and his research contributions across emerging technological domains.

Experience

Raghavendran Prabakaran has gained valuable research experience through both academic and applied settings. He served as a research intern on two major projects at the Symbiosis Institute of Digital and Telecom Management. The first focused on enhancing cognitive development through Brain-Computer Interface games and artificial intelligence, allowing him to explore AI-driven models and interdisciplinary collaboration. The second involved AI applications in energy forecasting and neuroscience, a funded initiative where he worked on data analysis and algorithm development. These roles provided him with hands-on exposure to real-world problems and helped him contribute to several collaborative publications. His experience also includes significant independent research conducted as part of his doctoral work, which involves the development of mathematical solutions for fractional differential systems. In addition, his involvement in multiple patent filings and international journal publications demonstrates his ability to translate mathematical theories into practical innovations. This combination of academic research and applied internships gives him a well-rounded professional background.

Research Focus on Mathematics

The core of Raghavendran Prabakaran’s research lies in fractional differential equations and control theory, with strong emphasis on their applications in artificial intelligence, cryptography, and complex dynamic systems. His doctoral work is centered on impulsive neutral fractional Volterra-Fredholm integro-differential systems with state-dependent delay—topics that require deep mathematical analysis and a solid grasp of applied modeling. He is especially interested in the stability, existence, and controllability of such systems. His research extends into integral transforms, fuzzy analysis, artificial neural networks, and secure communication systems, demonstrating a clear interdisciplinary orientation. His goal is to bridge the gap between theoretical mathematics and cutting-edge technologies such as machine learning, robotics, and energy systems. Through numerous high-impact publications and patents, he has explored the use of advanced mathematical frameworks to solve real-world problems in domains like cryptography, signal processing, and smart robotics. His research consistently blends mathematical depth with relevance to technological innovation.

Award and Honor

While specific named awards are not listed, Raghavendran Prabakaran’s academic and research achievements strongly reflect the caliber typically associated with prestigious recognition. His selection for competitive and funded research internships, support for publication costs, and involvement in national-level interdisciplinary projects highlight the trust and confidence academic institutions place in his capabilities. Moreover, his contribution to over sixty research outputs—including journal papers, conference proceedings, book chapters, and patents—is itself a mark of distinction in the academic community. His papers have been published in well-regarded, peer-reviewed journals, many of which are indexed in SCIE and fall within Q1 rankings, further demonstrating scholarly excellence. His patents reflect innovation in mathematical applications across robotics, signal transformation, cryptography, and safety systems. These achievements, along with strong citation metrics across Scopus, Web of Science, Google Scholar, and ResearchGate, indicate recognition from both peers and institutions. His academic trajectory places him among top-performing research scholars worthy of high-level academic honors.

Publications Top Notes

  • Title: Solving fractional integro-differential equations by Aboodh transform
    Authors: P Raghavendran, T Gunasekar, H Balasundaram, SS Santra, …
    Year: 2024
    Cited by: 30

  • Title: Existence and controllability results for neutral fractional Volterra-Fredholm integro-differential equations
    Authors: T Gunasekar, P Raghavendran, SS Santra, M Sajid
    Year: 2024
    Cited by: 28

  • Title: Analyzing existence, uniqueness, and stability of neutral fractional Volterra-Fredholm integro-differential equations
    Authors: T Gunasekar, P Raghavendran, SS Santra, M Sajid
    Year: 2024
    Cited by: 28

  • Title: of Laplace transform to solve fractional integro-differential equations
    Authors: BH Gunasekar, P Raghavendran, SS Santra, D Majumder, D Baleanu
    Year: 2024
    Cited by: 24

  • Title: The Mohand transform approach to fractional integro-differential equations
    Authors: T Gunasekar, P Raghavendran
    Year: 2024
    Cited by: 23

  • Title: Study of non-linear impulsive neutral fuzzy delay differential equations with non-local conditions
    Authors: T Gunasekar, J Thiravidarani, M Mahdal, P Raghavendran, A Venkatesan, …
    Year: 2023
    Cited by: 18

  • Title: Applications of the R-Transform for advancing cryptographic security
    Authors: T Gunasekar, P Raghavendran
    Year: 2024
    Cited by: 14

  • Title: Advancing cryptographic security with kushare transform integration
    Authors: R Prabakaran, T Gunasekar
    Year: 2024
    Cited by: 13

  • Title: Application of artificial neural networks for existence and controllability in impulsive fractional Volterra-Fredholm integro-differential equations
    Authors: P Raghavendran, T Gunasekar, S Gochhait
    Year: 2024
    Cited by: 9

  • Title: Analytical study of existence, uniqueness, and stability in impulsive neutral fractional Volterra-Fredholm equations
    Authors: P Raghavendran, T Gunasekar, SS Santra, D Baleanu, D Majumder
    Year: 2025
    Cited by: 8

  • Title: Optimizing organ transplantation success using neutrosophic superhyperstructure and artificial intelligence
    Authors: P Raghavendran, T Gunasekar
    Year: 2025
    Cited by: 7

  • Title: A study on the existence, uniqueness, and stability of fractional neutral Volterra-Fredholm integro-differential equations with state-dependent delay
    Authors: P Raghavendran, T Gunasekar, J Ahmad, W Emam
    Year: 2024
    Cited by: 7

  • Title: Solving the chemical reaction models with the Upadhyaya transform
    Authors: D Thakur, P Raghavendran, T Gunasekar, PC Thakur, …
    Year: 2024
    Cited by: 4

  • Title: Existence and controllability for second-order functional differential equations with infinite delay and random effects
    Authors: S Madhumitha, T Gunasekar, A Alsinai, P Raghavendran, RSA Qahtan
    Year: 2024
    Cited by: 3

  • Title: Controllability results for multi-order impulsive neutral fuzzy functional integro-differential equations with finite delay
    Authors: T Gunasekar, J Thiravidarani, P Raghavendran, BN Hanumagowda, …
    Year: 2025
    Cited by: 1

Conclusion

Raghavendran Prabakaran stands out as a highly capable and forward-thinking researcher in applied mathematics. With a strong academic background, hands-on research experience, and an impressive portfolio of publications and patents, he has consistently demonstrated both depth and innovation in his work. His research bridges complex mathematical theory with real-world technological applications, addressing current global challenges in fields such as AI, cryptography, and neuroscience. He brings a unique blend of analytical expertise and interdisciplinary engagement that few early-career scholars achieve. His commitment to scientific excellence, combined with collaborative experience and a strong publication record, positions him as an ideal candidate for prestigious recognitions like the Best Scholar Award. As he nears the completion of his Ph.D., he is well-prepared to lead impactful research in academia or industry. His work not only contributes to the advancement of mathematical science but also creates pathways for meaningful application in emerging technologies and intelligent systems.

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

 

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 | Mathematics | Best Researcher Award

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

Assistant Professor, Chandigarh University, India

🎓 Dr. Anil Sharma is an enthusiastic Assistant Professor of Mathematics at Chandigarh University, with a strong academic foundation in Differential Geometry. He earned his Ph.D. from the Central University of Himachal Pradesh in 2018 and has accumulated 4 years of experience in teaching and research. Before joining Chandigarh University, Dr. Sharma contributed his expertise at Lovely Professional University and Symbiosis Institute of Technology. He has been actively engaged in research and has authored several papers published in esteemed international journals. 🏅

Publication Profile

Google scholar

Education

📚 Dr. Sharma completed his Ph.D. in Mathematics from the Central University of Himachal Pradesh in 2018. His doctoral work, which delved into Differential Geometry, laid the foundation for his ongoing academic contributions to mathematics.

Experience

With a wealth of teaching experience, Dr. Sharma has served as an Assistant Professor at prominent institutions, including Lovely Professional University and Symbiosis Institute of Technology. He is currently shaping young minds at Chandigarh University. His teaching and research experience span over 4 years, during which he has made significant academic contributions to the field of mathematics.

Research Focus

🔬 Dr. Sharma’s research primarily revolves around Differential Geometry, with a keen interest in Contact, Complex (Pseudo-) Riemannian geometries, and Mathematical Physics. His work explores the complex mathematical structures that bridge geometry and physics, contributing to cutting-edge knowledge in the field.

Awards and Honours

🏆 Dr. Anil Sharma is a Life Member of the Indian Science Congress Association, a prestigious organization dedicated to the promotion of science in India. His active participation in academic conferences and workshops further highlights his commitment to the scientific community.

Publications Top Notes

📄 Dr. Sharma has published numerous papers in high-impact international journals, contributing valuable insights to the field of Differential Geometry. His notable publications include works on optimal inequalities, warped product submanifolds, and slant submanifolds, all of which have garnered significant citations and recognition.

A general optimal inequality for warped product submanifolds in Lorentzian paracosymplectic manifolds (2022) – Palestine Journal of Mathematics
Cited by: 2 articles

Chen-type inequality for sequential warped product submanifolds of nearly Kähler manifolds (2022) – Asian-European Journal of Mathematics
Cited by: 3 articles

POINTWISE PR-PSEUDO SLANT SUBMANIFOLDS OF PARA-KAHLER MANIFOLDS (2021) – Bulletin of the Transilvania University of Brasov, Series III
Cited by: 1 article

Nonexistence of PR-semi-slant warped product submanifolds in Para-Kähler manifold (2020) – Kyungpook Mathematical Journal
Cited by: 4 article

Dennis Peralta | Mathematics | Best Researcher Award

Published on by World Top Scientists

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.