Victor Orlov | Mathematics | Best Research Article Award

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Victor Orlov | Mathematics | Best Research Article Award

 Moscow State University of Civil Engineering | Russia

Professor Orlov Viktor Nikolaevich is a distinguished mathematician with over five decades of academic and research experience. He began his career after graduating in Mathematics from Chuvash State University in 1973. Over the years, he earned advanced degrees including a Ph.D. in Physical and Mathematical Sciences (1989) and a Doctor of Sciences in Mathematical Modeling (2011). His academic journey has seen him hold prominent positions at institutions like Cheboksary State Agricultural Academy, Russian State Social University, and Kazan Federal University. Currently, he serves as a professor at the Department of Higher Mathematics. An expert in mathematical modeling and nonlinear differential equations, Prof. Orlov has authored over 260 publications, including monographs, textbooks, patents, and articles indexed in WoS and Scopus. He also serves as an editorial board member and reviewer for multiple international journals. His dedication to mathematics has significantly shaped the Russian and international scientific communities.

Publication Profile

Orcid

Education

Orlov Viktor Nikolaevich began his academic journey at Chuvash State University, where he completed his undergraduate degree in Mathematics in 1973. He then pursued postgraduate studies at the Herzen Leningrad State Pedagogical Institute, completing them in 1982. In 1989, he successfully defended his Candidate of Sciences (Ph.D.) dissertation in Differential Equations at Belarusian State University (BSU), Minsk. This was followed by the conferment of the Associate Professor title in 1992. Driven by a desire for further specialization, he enrolled in the doctoral program at Moscow State University for the Humanities in 2009. In April 2011, he earned the prestigious Doctor of Physical and Mathematical Sciences degree in the field of Mathematical Modeling, Numerical Methods, and Software Packages, with his dissertation focusing on nonlinear differential equations with moving singularities. His education forms the foundation of his longstanding scientific excellence and teaching acumen.

Experience

Professor Orlov’s rich professional journey spans over 52 years in academia. From 2003–2006, he served as Head of the Department of Computer Science and Computer Engineering at Cheboksary State Agricultural Academy. From 2007–2011, he led the Department of Mathematics, Computer Science, and Modeling at the Russian State Social University (Cheboksary branch). In 2012, he became Head of the Department of Algebra and Geometry at I. Ya. Yakovlev Cheboksary State Pedagogical University. From 2015, he headed the Department of Mathematics and Methods of Teaching Mathematics at Kazan Federal University’s Yalta branch. Between 2017–2021, he worked at Moscow State University of Civil Engineering, where he continues today as Professor in the Department of Higher Mathematics. His leadership extended to education quality control as an expert for Rosobrnadzor from 2015 to 2018. Prof. Orlov has played key roles in enhancing mathematical education and research infrastructure in Russia.

Honors and Awards

Professor Orlov has been consistently recognized for his outstanding contributions to science and education. He has received 5 patents for inventions and 9 certificates for algorithms and software programs, showcasing his commitment to applied research. He received three competitive research grants from the National Research University Moscow State University of Civil Engineering in 2022, all completed ahead of schedule. In 2023, he led another successful grant project. He is a highly sought-after academic editor and reviewer, contributing to over 90 reviews for MDPI journals such as Mathematics (Q1) and Axioms (Q2), and serves on the editorial boards of multiple journals including Bulletin of ChSPU and Brest State Technical University. He was the Editor-in-Chief of Axioms special issues in 2022 and 2023. His impact is evidenced by his Russian Hirsch index of 18 and foreign index of 9, marking him as a respected figure in global academia.

Research Focus

Professor Orlov’s research expertise lies at the intersection of analytical theory of differential equations, fractional calculus, and computational mathematics. His landmark work revolves around the mathematical modeling of nonlinear differential equations with moving singularities, which was the basis of his doctoral dissertation. He has advanced the theory and applications of differential equations with fractional derivatives, a critical area in modeling complex physical and engineering systems. His contributions also span numerical methods, scientific software development, and simulation of dynamic systems. With over 260 publications, including 223 scientific articles, 39 educational works, 4 monographs, and multiple patents, his research addresses both theoretical advancements and real-world applications. He actively engages in interdisciplinary research, often collaborating across physics, engineering, and computer science. Prof. Orlov’s work not only enhances theoretical understanding but also contributes practical solutions, particularly in the fields of mechanical systems and deformable body mechanics.

Publications

  •  Development of a Mathematical Modeling Method for Nonlinear Differential Equations with Moving Singularities

  • Analytical Approach to Differential Equations with Fractional Derivatives

  • Computational Algorithms for Solving Boundary Value Problems in Mechanics

  • Numerical Simulation of Complex Dynamic Systems in Engineering

  • Mathematical Modeling of Physical Systems with Variable Parameters

  •  On the Convergence of Numerical Methods in Differential Equations

  •  Modeling of Heat Transfer Using Fractional Calculus

  • Nonlinear Oscillations in Mechanical Structures: A Simulation Study

  • Software Packages for Analytical Solutions of Nonlinear Equations

Konul Omarova | Mathematics | Best Research Article Award

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Konul Omarova | Mathematics | Best Research Article Award

Dr. Konul Omarova, Baku Business University, Azerbaijan

Dr. Konul Kamal Omarova is a distinguished mathematician and Associate Professor specializing in Probability Theory and Statistics. Holding a PhD in Mathematics from Baku State University, she has significantly contributed to the development of semi-Markov walk processes and boundary functionals. Her expertise extends to mathematical modeling, stochastic processes, statistical analysis, optimization techniques, and numerical methods. With numerous publications indexed in Web of Science, Dr. Omarova’s research outputs have strengthened the theoretical foundations in applied probability and stochastic processes. Throughout her academic career, she has displayed a strong commitment to advancing scientific knowledge through both independent and collaborative research endeavors. Apart from her academic pursuits, she actively mentors graduate students, guiding them in complex mathematical problem-solving and research methodology. Her scholarly influence is recognized both nationally and internationally, with her works frequently cited in the fields of informatics, control problems, and applied mathematics.

Publication Profile

google scholar

🎓 Education

Dr. Konul Kamal Omarova earned her PhD in Mathematics from the Mechanical-Mathematics Faculty of Baku State University, Azerbaijan. Her academic formation focused on deep theoretical and applied mathematical principles, particularly in the areas of probability theory and stochastic processes. During her doctoral studies, she developed expertise in semi-Markov processes, Laplace transforms, and statistical boundary functionals. Her dissertation involved the investigation of complex boundary problems and fractional integral equations describing stochastic processes. This rigorous academic training laid the foundation for her subsequent scholarly contributions in the field. The comprehensive education provided at Baku State University equipped Dr. Omarova with solid mathematical modeling, optimization, and analytical skills, which she effectively applies in both theoretical studies and practical applications within probability and statistics.

💼 Experience

Dr. Konul Kamal Omarova serves as an Associate Professor at Baku State University, specializing in Probability Theory and Statistics. With extensive academic and research experience, she has authored multiple peer-reviewed scientific papers, many indexed in prestigious databases like Web of Science. Over her career, she has conducted advanced studies on semi-Markov walk processes, Laplace transforms, and stochastic process boundaries. As an educator, Dr. Omarova has developed and delivered undergraduate and postgraduate courses, mentoring students in mathematical modeling, numerical methods, and optimization techniques. She has collaborated with scholars both nationally and internationally, contributing to interdisciplinary research in applied mathematics, informatics, and control problems. Her teaching and research consistently bridge theoretical mathematics and its practical applications in science and engineering, reinforcing her reputation as a leading academician in her field.

🏆 Honors and Awards

Dr. Konul Kamal Omarova’s research excellence has been recognized through numerous citations and inclusion in international indexed journals such as Web of Science. Although specific formal awards and honors are not listed in the provided details, her repeated collaborations with esteemed mathematicians and her presence in reputed publications highlight her scholarly impact in the mathematical sciences community. Dr. Omarova’s contributions, especially in semi-Markov processes and boundary functionals, have been acknowledged through her selection as a co-author in cross-institutional studies, including collaborations with researchers from the National Academy of Sciences of Ukraine. Her academic rank of Associate Professor at Baku State University also reflects peer recognition of her teaching, mentorship, and research prowess in probability theory and statistics. Future accolades are likely, given her active role in advancing applied probability research and numerical methods in stochastic analysis.

🔬 Research Focus

Dr. Konul Kamal Omarova’s research focuses on the theory of probability, stochastic processes, and mathematical modeling, with a particular interest in semi-Markov walk processes. Her studies delve into the investigation of boundary functionals, Laplace transforms, and fractional integral equations, addressing both theoretical and applied problems in statistical analysis and optimization. She explores complex issues such as the distribution of stopping times, ergodic distributions, and jump processes with screens or delay mechanisms, contributing significantly to the mathematical understanding of random walk models. Dr. Omarova’s work also extends to the embedding between variable Lebesgue spaces with measures, reflecting her broad mathematical interests beyond pure probability theory. Her comprehensive approach integrates analytical techniques, numerical methods, and optimization, aimed at solving real-world stochastic problems and informing practical applications in control systems, informatics, and computer science.

📚 Publications

1️⃣ The double Laplace transform of the distribution of a semi-Markov walk process with a stopping screen at zero. 📖
2️⃣ Laplace transform of the distribution of the first moment of reaching the top level by the direct method. 📖
3️⃣ Investigation of one boundary functional of the semi-Markov walk process with negative drift. 📖
4️⃣ Distribution of the boundary functional of a stepwise process of a semi-Markov walk. 📖
5️⃣ Distribution of the lower boundary functional of the step process of semi-Markov random walk with delaying screen at zero. 📖
6️⃣ Laplace transform of the ergodic distribution of a step process of a semi-Markov walk with a stopping screen at zero. 📖
7️⃣ The Laplace transform for the distribution of the lower bound functional in a semi-Markov walk process with a delay screen at zero. 📖
8️⃣ Embedding between variable Lebesgue spaces with measures. 📖

Atta Ullah | Mathematics | Best Researcher Award

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Atta Ullah | Mathematics | Best Researcher Award

Atta Ullah,Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malays,,Malaysia

Atta Ullah 🎓 is a dedicated PhD scholar in Applied Mathematics at Universiti Teknologi PETRONAS, Malaysia. Born on April 15, 1995, in Khyber Pakhtunkhwa, Pakistan, he excels in mathematical modeling, numerical analysis, and computational mathematics. His research focuses on real-world problem-solving, including mathematical biology and differential equations. With experience as a lecturer and research assistant, he actively contributes to academia. He has published extensively in reputed journals 📚 and serves as a reviewer for international journals. His goal is to advance applied mathematics and inspire future researchers. 🌟

Publication profile

scopus

Education

Atta Ullah holds a PhD in Applied Mathematics from Universiti Teknologi PETRONAS, Malaysia (ongoing). He earned his MS in Mathematics (Applied Mathematics) from the University of Science & Technology Bannu (2018-2020) with an outstanding CGPA of 4.0/4.0 (91.75%). His BS in Numerical Sciences (2013-2017) from the University of Peshawar focused on calculus, algebra, topology, and numerical analysis. He completed his F.Sc (2011-2013) from The City College of Arts and Science, Peshawar, scoring 75.09%, and S.S.C (2009-2011) from Govt. High School Matta Qilla, scoring 75.02%. Additionally, he obtained a Teaching Certificate from AIOU Islamabad with 70.2% marks (2016-2017). His academic excellence was recognized with the First Position Award in MPhil Applied Mathematics. 🏆

Experience

Atta Ullah has significant experience in research and teaching. Currently, he is a Research & Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia, where he assists master’s students, teaches undergraduate mathematics, and conducts high-level research 📊. Previously, he worked as a Research Assistant & Visiting Lecturer (2018-2022) at the University of Science & Technology Bannu, Pakistan, where he guided students in applied mathematics and maintained research labs. He also served as a Mathematics Lecturer at Dreams College, Timergara, KPK, Pakistan, mentoring students and fostering a strong mathematical foundation. His research contributions include exploring mathematical models, numerical simulations, and optimization techniques. He is also a reviewer for esteemed journals. His passion for academia and dedication to research make him a valuable contributor to the field of applied mathematics. 🔬

Awards And Honors

 

Atta Ullah’s academic excellence has been recognized with First Position in MPhil Applied Mathematics 🏅. His research has been published in ISI & Scopus-indexed journals, receiving international recognition 📚. As a reviewer for reputed journals, he has contributed to maintaining high academic standards. He has also been honored for his exceptional teaching and research skills, guiding students in applied mathematics. His outstanding CGPA (4.0/4.0) in MS Mathematics reflects his dedication to academia. His commitment to mathematical modeling and computational analysis has led to multiple research publications in high-impact journals. He continues to strive for excellence, contributing to mathematical sciences and inspiring the next generation of researchers. 🌍

Research Focus

Atta Ullah’s research primarily focuses on mathematical modeling, applied and computational analysis, and real-world problem-solving. His expertise includes sensitivity analysis, numerical simulations, first-order non-linear ordinary differential equations, and mathematical biology. His work explores optimal control techniques for complex systems, including studies on marijuana consumption models, Brinkman-type nanofluids, and infectious disease modeling. He integrates applied mathematics with computational tools to enhance predictive accuracy and optimize system performance. His contributions extend to partial differential equations, hydrodynamics, and functional analysis. His research aims to provide data-driven solutions for scientific and engineering challenges. 🧮

 

Publications

📖 “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking,” AIMS Bioengineering, Cited by: XX, Year: 2023.
📖 “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance,” JARASET, Cited by: XX, Year: 2023.
📖 “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption,” PDEAM, Cited by: XX, Year: 2024.
📖 “A mathematical model with control strategies for marijuana smoking prevention,” ERA, Cited by: XX, Year: 2024.
📖 “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis,” JARASET, Cited by: XX, Year: 2024.
📖 “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique,” Contemporary Mathematics, Cited by: XX, Year: 2024.
📖 “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer,” CIJCA, Cited by: XX, Year: 2022.
📖 “Exploring the Effectiveness of an Optimal Control Model for Marijuana Consumption,” Infectious Disease Modelling, Cited by: XX, Year: 2024.

Noor Saeed Khan | Mathematics | Research Citation Excellence Award

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Assist. Prof. Dr. Noor Saeed Khan | Mathematics | Research Citation Excellence Award

Assist. Prof. Dr. Noor Saeed Khan, University of Education Lahore, Attock Campus, Attock, Pakistan

Assistant Professor Dr. Noor Saeed Khan is currently serving as an Assistant Professor of Mathematics at the University of Education Lahore, Attock Campus, Pakistan. His academic and professional career highlights his expertise in fluid mechanics, mathematical modeling, and numerical analysis. Dr. Khan’s teaching portfolio includes various undergraduate and postgraduate mathematics courses, and he has significantly contributed to student supervision at multiple academic levels.

Education:

SSC
Institution: Govt. High School Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

FSc
Institution: Govt. Degree College Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

BSc
Institution: Govt. Post Graduate College Karak, Khyber Pakhtunkhwa, Pakistan

MSc Mathematics
Institution: Department of Mathematics, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan

MS Mathematics
Institution: FAST-National University of Computer and Emerging Sciences, Hayat Abad, Peshawar Campus

PhD Mathematics
Institution: Department of Mathematics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan

Post-Doctorate
Title: A Novel Assessment of Nanofluids Thermodynamics Stability Simulated Through Homotopy Analysis Method
Institution: KMUTT-Fixed Point Research Laboratory, Fixed Point Theory and Applications Research Group, Theoretical and Computational Science Center (TaCS), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand

Professional Profiles:

Google Scholar

Professional Experience:

Dr. Khan began his career as an Assistant Professor at the University of Education Lahore in 2020 and has served at both the Multan and Attock campuses. His cumulative teaching and research experience span multiple years, contributing to both academic growth and institutional development.

Research Interests:

Dr. Khan’s research areas include:

Fluid Mechanics and Thermodynamics: Expertise in Newtonian and non-Newtonian fluids, nanofluids, and gyrotactic microorganisms.

Numerical Methods and Modeling: Application of advanced mathematical techniques like HAM for solving complex fluid mechanics problems.

He has also led a Higher Education Commission (HEC)-funded research project worth PKR 1 million, focusing on enhanced thermal conductivity in nanofluids.

Publications:

Thin film flow of a second-grade fluid in a porous medium past a stretching sheet with heat transfer
Published in: Alexandria Engineering Journal (Elsevier), Vol. 57, Issue 2, Pages 1019-1031 (2017)
Impact Factor: 6.2
DOI: 10.1016/j.aej.2017.01.036

Thermophoresis and thermal radiation with heat and mass transfer in a magnetohydrodynamic thin film second-grade fluid of variable properties past a stretching sheet
Published in: European Physical Journal Plus (Springer Nature), 132, 11 (2017)
Impact Factor: 2.8
DOI: 10.1140/epjp/i2017-11277-3

Brownian motion and thermophoresis effects on MHD mixed convective thin film second-grade nanofluid flow with Hall effect and heat transfer past a stretching sheet
Published in: Journal of Nanofluids (American Scientific Publisher), 6(5): 812-829 (2017)
Impact Factor: Pending for 2025
DOI: 10.1166/jon.2017.1383

Magnetohydrodynamic nanoliquid thin film sprayed on a stretching cylinder with heat transfer
Published in: Applied Sciences (MDPI), 7(3), 271 (2017)
Impact Factor: 2.5
DOI: 10.3390/app7030271

Mixed convection in gravity-driven thin film non-Newtonian nanofluids flow with gyrotactic microorganisms
Published in: Results in Physics (Elsevier BV), 7:4033-4049 (2017)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2017.10.017

Flow and heat transfer in water-based liquid film fluids dispensed with graphene nanoparticles
Published in: Results in Physics (Elsevier BV), 8:1143-1157 (2018)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2018.01.032

Non-Newtonian nanoliquids thin film flow through a porous medium with magnetotactic microorganisms
Published in: Applied Nanoscience (Springer Nature), 8:1523-1544 (2018)
Impact Factor: 3.674
DOI: 10.1007/s13204-018-0834-5

Magnetohydrodynamic second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Computational and Applied Mathematics (Springer Nature), 37:6332-6358 (2018)
Impact Factor: 2.5
DOI: 10.1007/s40314-018-0683-6

Bioconvection in second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Brazilian Journal of Physics, 48(4):227-241 (2018)
Impact Factor: 1.5
DOI: 10.1007/s13538-018-0567-7

Study of two-dimensional boundary layer flow of a thin film fluid with variable thermo-physical properties in three-dimensional space
Published in: AIP Advances, 8(10):105318 (2018)
Impact Factor: 2.6
DOI: 10.1063/1.5053808

Conclusion:

Assist. Prof. Dr. Noor Saeed Khan is a strong candidate for the Research Citation Excellence Award, thanks to his prolific contributions to applied mathematics and fluid dynamics. His research is widely published and cited, demonstrating relevance and innovation. To enhance his candidacy, increased community engagement, leadership in funded projects, and interdisciplinary collaborations could further strengthen his impact.