Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

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Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Taekyun Kim | Pure Mathematics | Best Researcher Award

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Prof. Taekyun Kim | Pure Mathematics | Best Researcher Award

Professor at Kwangwoon University, South Korea

Prof. Taekyun Kim is a distinguished mathematician specializing in number theory, p-adic analysis, and q-series. Currently a professor at Kwangwoon University, he has made significant contributions to mathematical research, earning recognition as a Highly Cited Researcher (2017) by Web of Science and a Highly Effective Researcher (2016) by Clarivate Analytics. He has published extensively in SCI and SCOPUS-indexed journals and authored several mathematics textbooks. His research has been supported by multiple grants from Kwangwoon University and the National Research Foundation of Korea (NRF). Prof. Kim also serves as an editor for prestigious journals such as Symmetry (MDPI), Mathematics (MDPI), and Advances in Difference Equations (Springer). He has received numerous awards, including the Excellent Teaching Award (2018) and the Grand Prize of Knowledge Creation (2014). His academic leadership and impactful research establish him as a leading figure in the mathematical community.

Professional Profile 

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Education

Prof. Taekyun Kim earned his B.S. in Mathematics from Kyungpook National University, Republic of Korea, in 1987. He continued his studies at the same institution, obtaining an M.S. in Mathematics in 1989. In 1994, he completed his Ph.D. in Mathematics at Kyushu University, Japan, specializing in number theory under the supervision of Prof. Dr. Katsumi Shiratani. His doctoral research focused on the q-analogue of p-adic log-gamma functions and L-functions, which laid the foundation for his future work in p-adic analysis and q-series. His strong educational background in both Korean and Japanese institutions equipped him with a deep understanding of mathematical structures, enabling him to make significant contributions to the field. His studies in p-adic number theory, special functions, and mathematical identities have shaped his extensive research career, influencing many subsequent developments in these areas.

Professional Experience

Prof. Taekyun Kim has had an extensive academic career spanning over three decades. He has been a Professor at Kwangwoon University since 2008, actively contributing to research and teaching in mathematics. From 2015 to 2019, he also served as a Chair Professor at Tianjin Polytechnic University, expanding his academic influence internationally. Prior to his tenure at Kwangwoon University, he held positions at Kyungpook National University, Kongju National University, and the Republic of Korea Naval Academy, where he worked as a lecturer and research professor. His experience also includes research in topology and geometry at Kyungpook National University. Throughout his career, Prof. Kim has not only contributed to academia as an educator but also played a pivotal role in shaping the field of mathematics through editorial leadership in several prestigious journals. His professional journey reflects a strong commitment to both research excellence and academic mentorship.

Research Interest

Prof. Taekyun Kim’s research primarily focuses on number theory, p-adic analysis, q-series, and special functions. His work extensively explores the q-analogues of mathematical functions, Bernoulli numbers, Euler polynomials, and Carlitz-type q-Euler numbers, contributing significantly to modern mathematical theories. He has also conducted in-depth studies on p-adic q-integrals, non-Archimedean analysis, and combinatorial identities, which have broad applications in pure mathematics. His research interests extend to difference equations, fixed-point theory, and asymptotic behavior of mathematical functions, showing his versatility as a mathematician. Through numerous high-impact publications, he has enriched the understanding of algebraic and analytical structures, making his work valuable to mathematicians worldwide. His research is not only theoretical but also finds applications in engineering mathematics and computational methods, demonstrating his ability to bridge pure mathematics with applied sciences.

Awards and Honors

Prof. Taekyun Kim has received numerous prestigious awards in recognition of his outstanding contributions to mathematical research and education. In 2017, he was honored as a Highly Cited Researcher by Web of Science, highlighting his influence in the academic community. Similarly, in 2016, Clarivate Analytics recognized him as a Highly Effective Researcher, emphasizing the global impact of his work. His teaching excellence was acknowledged with the Excellent Teaching Award (2018) at Kwangwoon University. Additionally, he received the Grand Prize of Knowledge Creation (2014) from the Future Creation Science Department for his innovative contributions to mathematical research. Over the years, he has also been awarded multiple research grants from Kwangwoon University and the National Research Foundation of Korea (NRF). These accolades reflect his exceptional dedication to advancing mathematics through research, teaching, and academic leadership.

Conclusion

Prof. Taekyun Kim is an exceptional mathematician, researcher, and academic leader with a distinguished career spanning over three decades. His extensive research in number theory, p-adic analysis, and q-series has made a significant impact in the mathematical community. His professional experience includes teaching at top universities, serving as an editor for multiple high-impact journals, and securing research grants to support his work. Recognized globally for his influential publications and innovative contributions, he has received prestigious awards for both his research and teaching. His dedication to mathematics is evident in his numerous publications, books, and editorial roles, making him a highly respected figure in his field. As a mentor, researcher, and thought leader, Prof. Kim continues to inspire future generations of mathematicians, solidifying his legacy as a leading scholar in modern mathematical research.

Publications Top Noted

  • Title: Probabilistic Degenerate Laguerre Polynomials with Random Variables
    Authors: L. Luo, Y. Ma, T.G. Kim, W. Liu
    Year: 2024
    Source: Russian Journal of Mathematical Physics

  • Title: Probabilistic Degenerate Fubini Polynomials Associated with Random Variables
    Authors: R. Xu, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 12
    Source: Journal of Nonlinear Mathematical Physics

  • Title: Explicit Formulas for Probabilistic Multi-Poly-Bernoulli Polynomials and Numbers
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 11
    Source: Russian Journal of Mathematical Physics

  • Title: Generalization of Spivey’s Recurrence Relation
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 18
    Source: Russian Journal of Mathematical Physics

  • Title: Study on Discrete Degenerate Bell Distributions with Two Parameters
    Authors: T.G. Kim, D.S. Kim, H. Kim
    Year: 2024
    Citations: 4
    Source: Georgian Mathematical Journal

  • Title: Probabilistic Bernoulli and Euler Polynomials
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 24
    Source: Russian Journal of Mathematical Physics

  • Title: A Note on Certain Type of Generating Functions
    Authors: T.G. Kim, J.L. López-Bonilla, P. Siva Kota Reddy
    Year: 2024
    Source: South East Asian Journal of Mathematics and Mathematical Sciences

  • Title: Color Partitions and Gandhi’s Recurrence Relation
    Authors: J.D. Bulnes, M. Alegri, T.G. Kim, J.L. López-Bonilla
    Year: 2024
    Source: Proceedings of the Jangjeon Mathematical Society

  • Title: Probabilistic Degenerate Central Bell Polynomials
    Authors: L. Chen, T.G. Kim, D.S. Kim, H. Lee, S. Lee
    Year: 2024
    Citations: 9
    Source: Mathematical and Computer Modelling of Dynamical Systems

  • Title: Probabilistic Degenerate Bernoulli and Degenerate Euler Polynomials
    Authors: L. Luo, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 10
    Source: Mathematical and Computer Modelling of Dynamical Systems

 

Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

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Prof. Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

Researcher at Institute of Mathematics and Computer Science, University of Latvia (LU MII abbreviated), Latvia

Professor Felix Sadyrbaev is a distinguished mathematician specializing in dynamical systems, boundary value problems, and mathematical modeling, particularly in network theory and gene regulatory networks. He earned his Ph.D. from Belorussian State University (1982) and completed his habilitation at Latvian State University (1995). Currently, he serves as the Head of Laboratory at the Institute of Mathematics and Computer Science, University of Latvia, and as a Professor and Director of the Doctorate Program in Mathematics at Daugavpils University. With over 190 scholarly publications and active participation in multiple International Congresses of Mathematicians, he has significantly contributed to mathematical research and education. A member of the Latvian and American Mathematical Societies, he also serves on editorial boards of international mathematical journals. Recognized for his contributions, he was elected a Full Member of the Academy of Sciences of Latvia in 2021, further solidifying his impact on the global mathematical community.

Professional Profile 

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Education

Professor Felix Sadyrbaev completed his undergraduate studies at Latvian State University (Riga, former USSR) and later pursued his Ph.D. in Mathematics at Belorussian State University (Minsk) in 1982. His doctoral research focused on dynamical systems, particularly boundary value problems and qualitative theory. In 1995, he earned his habilitation from Latvian State University, further advancing his expertise in mathematical modeling and optimization theory. His academic journey reflects a strong foundation in both theoretical and applied mathematics, enabling him to contribute significantly to various research domains. His education in leading institutions of the former USSR provided him with rigorous training in mathematical analysis, which has been instrumental in shaping his research career. Over the years, his academic background has allowed him to bridge different areas of mathematics, making significant contributions to network theory, gene regulatory networks, and mathematical optimization. His expertise continues to drive innovative research in applied and theoretical mathematics.

Professional Experience

Professor Sadyrbaev has had a distinguished career in academia and research spanning over four decades. Since 1978, he has been affiliated with the Institute of Mathematics and Computer Science at the University of Latvia, where he currently serves as the Head of Laboratory. In 1999, he joined Daugavpils University as a Professor and Director of the Doctorate Program in Mathematics, contributing significantly to the academic development of future researchers. His leadership roles have involved mentoring Ph.D. students, directing mathematical research initiatives, and fostering collaborations with international institutions. As an expert in dynamical systems and mathematical modeling, he has played a key role in advancing the field both locally and globally. His participation in international awards and research projects underscores his commitment to academic excellence. His long-standing association with multiple institutions highlights his dedication to fostering innovation, research collaboration, and the advancement of mathematical sciences.

Research Interest

Professor Sadyrbaev’s research interests lie in the areas of dynamical systems, boundary value problems, and mathematical modeling, with a strong focus on network theory and gene regulatory networks. His work in qualitative theory and optimization has been instrumental in advancing mathematical methods for solving complex real-world problems. He has contributed significantly to differential equations, stability analysis, and nonlinear dynamics, providing insights into critical mathematical frameworks. His interdisciplinary approach bridges applied mathematics, computational techniques, and theoretical modeling, making his research highly relevant across various scientific domains. His contributions to mathematical modeling in biology and engineering have led to significant applications, particularly in understanding complex network systems. With over 190 publications and numerous plenary talks, his research has influenced both academia and industry. His ongoing work continues to explore innovative mathematical methods for solving contemporary challenges, reinforcing his impact on the global mathematical community.

Awards and Honors

Professor Sadyrbaev has received prestigious recognition for his outstanding contributions to mathematics. In 2021, he was elected a Full Member of the Academy of Sciences of Latvia, a testament to his significant impact on mathematical research and education. His participation in major International Congresses of Mathematicians (ICM) across different countries, including Berlin, Beijing, Bangalore, Seoul, and São Paulo, highlights his global academic influence. He has also served as a delegate to the International Mathematical Union (IMU) General Assembly, representing the Latvian Mathematical Society in key international discussions. Additionally, he is a member of the Latvian Mathematical Society and the American Mathematical Society, further cementing his standing in the international mathematical community. His editorial board memberships in several international mathematical journals reflect his role in shaping contemporary mathematical research. His numerous honors underscore his dedication to advancing mathematical sciences through research, mentorship, and academic leadership.

Conclusion

Professor Felix Sadyrbaev is a highly accomplished mathematician with extensive contributions to dynamical systems, mathematical modeling, and network theory. His distinguished career spans over four decades, with significant roles in research, academic leadership, and international collaborations. His election as a Full Member of the Academy of Sciences of Latvia, numerous publications, and participation in prestigious international congresses solidify his reputation as a leading expert in his field. His influence extends beyond research, as he plays a key role in mentoring future mathematicians and fostering interdisciplinary collaborations. As a respected figure in the mathematical community, his work continues to shape contemporary mathematical theory and applications. Through his editorial roles, award participation, and research impact, he remains a driving force in the advancement of mathematical sciences. His remarkable career serves as an inspiration for young researchers and highlights the importance of mathematics in solving real-world challenges.

Publications Top Noted

  • On differential equations with exponential nonlinearities

    • Authors: Armands Gritsans, Felix Sadyrbaev
    • Year: 2025
    • Source: Applied Numerical Mathematics

  • Remarks on Modeling of Neural Networks

    • Authors: Felix Sadyrbaev
    • Year: [No year mentioned]
    • Source: [No source information available]

  • In Search of Chaos in Genetic Systems

    • Authors: Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: Chaos Theory and Applications

  • Comparative Analysis of Models of Genetic and Neuronal Networks

    • Authors: Diana Ogorelova, Felix Sadyrbaev
    • Year: 2024
    • Source: Mathematical Modelling and Analysis

  • Editorial: Mathematical modeling of gene networks

    • Authors: Jacques François Demongeot, Felix Sadyrbaev, Inna Samuilik
    • Year: 2024
    • Source: Frontiers in Applied Mathematics and Statistics

  • On Period Annuli and Induced Chaos

    • Authors: Svetlana Atslega, Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: WSEAS Transactions on Systems

  • A New 3D Chaotic Attractor in Gene Regulatory Network

    • Authors: Olga Kozlovska, Felix Sadyrbaev, Inna Samuilik
    • Year: 2024
    • Source: Mathematics

  • On Solutions of the Third-Order Ordinary Differential Equations of Emden-Fowler Type

    • Authors: Felix Sadyrbaev
    • Year: 2023
    • Source: Dynamics

  • On Coexistence of Inhibition and Activation in Genetic Regulatory Networks

    • Authors: Felix Sadyrbaev, Valentin Sengileyev, Albert Silvans
    • Year: [No year mentioned]

 

Mohammed Hussein | Applied Mathematics | Best Researcher Award

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Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

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

Professional Profile 

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Education

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

Professional Experience

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

Research Interest

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

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

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

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

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

3. Reconstruction of time-dependent coefficients from heat moments

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

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

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

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

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

6. Direct and inverse source problems for degenerate parabolic equations

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

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

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

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

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

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

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

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

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

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

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

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

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

13. Free boundary determination in nonlinear diffusion

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

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

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

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

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

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

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

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

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

18. Numerical Solution for Two-Sided Stefan Problem

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

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

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

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

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

Professional Profile 

Google Scholar

Education

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

Professional Experience

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

Research Interest

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

Maryam Alkandari | Analysis (Real, Complex, Functional) | Best Researcher Award

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Dr. Maryam Alkandari | Analysis (Real, Complex, Functional) | Best Researcher Award

Associate Professor at Kuwait University, Kuwait

Dr. Maryam Mohammad Alkandari is an accomplished Associate Professor in the Department of Mathematics at Kuwait University, specializing in Algebraic Geometric Coding Theory and Fractional Calculus. She earned her Ph.D. from the University of London, Imperial College, and has made significant contributions to mathematical research through numerous high-impact publications. Her work spans diverse areas, including differential equations, operational methods in fractional calculus, and mathematical education. She has secured multiple research grants and received institutional recognition for her contributions. In addition to her theoretical research, Dr. Alkandari has explored interdisciplinary applications, particularly in autism education and mathematical pedagogy. She has collaborated with esteemed researchers and co-authored a book on fractional operators published by Springer. With a strong academic background, a broad research portfolio, and a commitment to advancing mathematical knowledge, Dr. Alkandari continues to make valuable contributions to the field, enhancing both theoretical understanding and practical applications.

Professional Profile 

Google Scholar

Education

Dr. Maryam Mohammad Alkandari earned her Ph.D. from the University of London, Imperial College, specializing in Algebraic Geometric Coding Theory. Her doctoral research focused on decoding partial geometric codes, contributing to the field of algebraic coding theory. This strong mathematical foundation equipped her with expertise in pure and applied mathematics, particularly in algebraic structures and their applications. Her academic journey reflects a commitment to advancing mathematical theories and methodologies. She has since built on her education by expanding her research into operational calculus and fractional differential equations. With a solid background in both theoretical and computational mathematics, Dr. Alkandari has successfully applied her knowledge across multiple disciplines, making notable contributions to the field.

Professional Experience

Dr. Alkandari is an Associate Professor in the Department of Mathematics at Kuwait University, where she has played a pivotal role in research, teaching, and mentorship. She has successfully led multiple research projects, collaborating with national and international scholars in algebraic coding theory, fractional calculus, and differential equations. In addition to her research, she has contributed significantly to mathematical education, exploring innovative teaching methodologies, including the use of GeoGebra and applied behavior analysis for autism education. Her academic career has been marked by a dedication to fostering mathematical understanding among students and researchers. Through her involvement in curriculum development and her supervision of research projects, she has influenced the next generation of mathematicians. Dr. Alkandari’s commitment to interdisciplinary applications of mathematics further highlights her professional contributions, bridging theoretical knowledge with real-world problems.

Research Interest

Dr. Alkandari’s research interests lie in Algebraic Geometric Coding Theory, Fractional Calculus, and Differential Equations. She has explored the development of operational methods in fractional calculus and their applications to solving differential equations. Her work also extends to mathematical modeling, particularly in constructing partial algebraic geometric codes and exploring oscillation properties of differential equations. She has made notable contributions to fuzzy statistical analysis, demonstrating her ability to integrate various mathematical fields. Additionally, she has engaged in interdisciplinary research, investigating the effectiveness of mathematical teaching methods for autistic children. Her diverse research interests reflect a broad and deep commitment to advancing mathematical knowledge while addressing real-world challenges. By continually expanding the scope of her studies, Dr. Alkandari remains at the forefront of mathematical innovation.

Awards and Honors

Dr. Alkandari has received multiple awards and honors in recognition of her outstanding research contributions. She was awarded research grants for her work on operational methods in fractional calculus and has been recognized by Kuwait University’s Research Sector for her impactful publications. Several of her research papers have received unfunded rewards, highlighting their significance in advancing mathematical theories. Her collaborations with esteemed researchers and contributions to high-impact journals further reinforce her reputation as a distinguished mathematician. Additionally, her co-authored book on transmutations of fractional operators, published by Springer, stands as a testament to her scholarly excellence. These accolades reflect her dedication to the field and her ability to conduct research that has both theoretical and applied significance. Through her numerous achievements, Dr. Alkandari continues to contribute meaningfully to the global mathematical community.

Conclusion

Dr. Maryam Mohammad Alkandari is a distinguished mathematician whose work spans algebraic coding theory, fractional calculus, and mathematical education. With a Ph.D. from Imperial College London, she has established herself as a leading researcher in her field, publishing extensively in high-impact journals and securing prestigious research grants. Her contributions extend beyond pure mathematics, incorporating interdisciplinary applications such as autism education and advanced computational methods. Through her role as an Associate Professor at Kuwait University, she has influenced many students and researchers, fostering a deeper understanding of complex mathematical concepts. Her numerous awards and recognitions highlight her excellence and dedication to the field. Dr. Alkandari’s ongoing research, international collaborations, and commitment to mathematical advancement continue to solidify her position as a respected figure in academia, making significant contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Operational calculus for the general fractional derivatives of arbitrary order
    M. Al-Kandari, L.A.-M. Hanna, Y. Luchko
    Year: 2022 | Citations: 18

  • Operational method for solving fractional differential equations with the left-and right-hand sided Erdélyi-Kober fractional derivatives
    L.A.-M. Hanna, M. Al-Kandari, Y. Luchko
    Year: 2020 | Citations: 16

  • A fuzzy-statistical tolerance interval from residuals of crisp linear regression models
    M. Al-Kandari, K. Adjenughwure, K. Papadopoulos
    Year: 2020 | Citations: 13

  • Half-linear differential equations of fourth order: oscillation criteria of solutions
    O. Bazighifan, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, F. Mofarreh
    Year: 2022 | Citations: 7

  • Delay differential equations of fourth-order: oscillation and asymptotic properties of solutions
    O. Bazighifan, M. Al-Kandari, K.S. Al-Ghafri, F. Ghanim, S. Askar, G.I. Oros
    Year: 2021 | Citations: 7

  • Calculus 1 college students’ concept of function
    A.H. Alajmi, M.M. Al-Kandari
    Year: 2022 | Citations: 5

  • New Criteria for Oscillation of Half-Linear Differential Equations with p-Laplacian-like Operators
    O. Bazighifan, F. Ghanim, J. Awrejcewicz, K.S. Al-Ghafri, M. Al-Kandari
    Year: 2021 | Citations: 4

  • Enhancing Kuwaiti Teachers’ Technology-Assisted Mathematics Teaching Practices
    M. Soliman, Z. Lavicza, T. Prodromou, M. Al-Kandari, T. Houghton
    Year: 2019 | Citations: 4

  • Some oscillation results for even-order differential equations with neutral term
    M. Al-Kandari, O. Bazighifan
    Year: 2021 | Citations: 3

  • On the Laplacian Energy of an Orbit Graph of Finite Groups
    V. Bhat, M. Singh, K. Sharma, M. Alkandari, L. Hanna
    Year: 2024

  • Nonlinear differential equations with neutral term: Asymptotic behavior of solutions
    M. Al-Kandari
    Year: 2024

  • Conditions for the Oscillation of Solutions to Neutral Differential Equations of Higher Order
    M. Al-Kandari
    Year: 2023

  • Enhanced criteria for detecting oscillations in neutral delay Emden-Fowler differential equations
    M. Al-Kandari
    Year: 2023

  • Completely Semiprime Ideals of Ore Extensions
    V.K. Bhat, M. Alkandari, L. Hanna, S.K. Sharma
    Year: 2023

  • Half-linear differential equations of fourth order: oscillation criteria of solutions
    B. Omar, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, M. Fatemah
    Year: 2022

  • The Effectiveness of a Suggested Program in Developing College Students’ Ability to Write Proofs and their Beliefs Towards it
    A.H. Alajmi, M.M. Alkandari
    Year: 2022

  • On an extension of the Mikusiński type operational calculus for the Caputo fractional derivative
    M. Al-Kandari, L.A.-M. Hanna, Y. Luchko
    Year: 2021 | Citations: 3

  • A convolution family in the Dimovski sense for the composed Erdélyi-Kober fractional integrals
    M. Al-Kandari, L.A.-M. Hanna, Y.F. Luchko
    Year: 2019 | Citations: 3

  • Operational Calculus for the 1st Level General Fractional Derivatives and its Applications
    M. Alkandari, Y. Luchko
    Year: 2024 | Citations: 2

  • A new modification of an iterative method based on inverse polynomial for solving Cauchy problems
    A.H. Ali, O. Alabdali, M.T. Yaseen, M. Al-Kandari, O. Bazighifan
    Year: 2023 | Citations: 2

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

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Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

Professional Profile 

Google Scholar

Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

  • Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
    • Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
    • Year: 2024
    • Citations: 5
  • Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
    • Authors: S.I. Butt, M.N. Aftab, Y. Seol
    • Year: 2024
    • Citations: 3
  • Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
    • Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
    • Year: 2024
  • Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
    • Authors: M.N. Aftab
    • Year: 2021

 

 

Peng Yue | Pure Mathematics | Best Researcher Award

Posted on by Math Scientist

Prof. Dr. Peng Yue | Pure Mathematics | Best Researcher Award

Dr. at Ocean University of China, China

Prof. Dr. Peng Yue is a distinguished academic currently serving as a professor at the School of Physics and Optoelectronic Engineering, Ocean University of China. With a solid educational foundation, he earned his bachelor’s, master’s, and Ph.D. degrees in mechanics from the National Aerospace University “Kharkov Aviation Institute.” Prof. Yue’s research focuses on developing mathematical and mechanical theories and models related to nonlinear and complex systems, bridging mathematics, physics, and engineering. His notable contributions include several publications in prestigious journals, including works on fluid dynamics, aerodynamics, and mathematical models for flow field separation. Additionally, Prof. Yue has been an active participant in international awards, often presenting as a keynote speaker. He is a member of several academic societies, including the Chinese Mathematical Society and the Chinese Society of Industrial and Applied Mathematics. His interdisciplinary work and leadership in the field make him a prominent figure in applied mathematics and engineering.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Prof. Dr. Peng Yue’s educational journey reflects his dedication to advancing the fields of mathematics, mechanics, and physics. He began his academic path at the National Aerospace University “Kharkov Aviation Institute” where he earned his bachelor’s degree in theoretical and applied mechanics in 2011. His passion for mechanics led him to pursue a master’s degree in the same field, which he completed in 2013. Demonstrating exceptional academic ability and a deep interest in complex systems, Prof. Yue continued his studies at the same institution and earned his Ph.D. in mechanics in 2017. This rigorous academic foundation laid the groundwork for his subsequent research career. His advanced education provided him with a comprehensive understanding of mathematical and mechanical theories, equipping him with the skills necessary to develop models and algorithms for nonlinear and complex systems.

Professional Experience

Prof. Dr. Peng Yue has an extensive professional background that spans academia and research in the fields of mathematics, mechanics, and engineering. He currently serves as a professor at the School of Physics and Optoelectronic Engineering, College of Information Science and Engineering, Ocean University of China. Prior to 2023, he held significant academic and research positions at the University of Electronic Science and Technology of China and the China Aerodynamics Research and Development Center, where he contributed extensively to the study of nonlinear and complex systems. Prof. Yue’s expertise also includes developing practical models and algorithms for mathematical and mechanical theories. He earned his bachelor’s, master’s, and Ph.D. degrees from the National Aerospace University “Kharkov Aviation Institute.” Throughout his career, Prof. Yue has been actively involved in numerous projects and awards, including as a keynote speaker at prestigious international events like the 13th International Conference on Computational Mechanics.

Research Interest

Prof. Dr. Peng Yue’s research interests primarily focus on the development of mathematical and mechanical theories applied to nonlinear and complex systems. He explores practical models and algorithms that bridge the gap between theoretical mechanics and real-world engineering problems. His work is at the intersection of mathematics, physics, and engineering, with particular emphasis on the modeling and analysis of fluid dynamics, flow separation, and multi-field coupling mechanisms. Prof. Yue is also dedicated to advancing numerical methods such as the boundary element method for determining aerodynamic characteristics and improving techniques in Cartesian tensor analysis. His research aims to enhance understanding of the behavior of complex physical systems, with applications in aerodynamics, mechanics, and technology. By developing new mathematical models, he strives to solve practical challenges faced by modern engineering, contributing to the broader understanding of nonlinear phenomena and pushing the boundaries of applied mathematics and mechanical systems.

Award and Honor

Prof. Dr. Peng Yue has earned significant recognition throughout his academic career, marking him as a distinguished figure in the fields of applied mathematics, mechanics, and engineering. As a member of the Chinese Mathematical Society, the Chinese Society for Industrial and Applied Mathematics, and the Chinese Society of Mechanics, his contributions to mathematical modeling and nonlinear systems have been widely acknowledged. He has held important academic positions, including as a professor at the Institute of Space Technology at the China Aerodynamics Research and Development Center, and more recently at Ocean University of China. His research has led to numerous high-impact journal publications, with key articles on complex fluid dynamics, aerodynamics, and tensor analysis. Prof. Yue has also made significant contributions to international awards, delivering keynote addresses, such as at the 13th International Conference on Computational Mechanics. His honors reflect both his scholarly achievements and his leadership in advancing scientific and engineering knowledge.

Conclusion

Prof. Dr. Peng Yue has proven to be an exceptional researcher, blending advanced mathematical, mechanical, and physical theories with practical models and algorithms. His academic journey, from earning a Ph.D. at the National Aerospace University “Kharkov Aviation Institute” to holding prominent positions at renowned institutions like the University of Electronic Science and Technology of China and the Ocean University of China, showcases his deep expertise. Prof. Yue’s extensive publication record, including high-quality journal articles on nonlinear systems and fluid dynamics, as well as his role as a keynote speaker at international awards, reflects his influential contributions to his fields. His involvement in major scientific societies such as the Chinese Mathematical Society further emphasizes his academic prominence. While continuing to expand the reach of his research, Prof. Yue’s exceptional scholarship, leadership, and interdisciplinary work solidify his standing as a distinguished figure in applied mathematics and mechanics.

Publications Top Noted

  • Title: Surface Pressure Calculation Method of Multi-Field Coupling Mechanism under the Action of Flow Field
    Authors: Zhang, J., Wei, S., Yue, P., Kulik, A.S., Li, G.
    Year: 2023
    Citations: 1
  • Title: Mathematical Model for Excited State Fluid Dynamics
    Authors: Yue, P., Zhang, J., Wei, S.
    Year: 2023
    Citations: 0
  • Title: Mathematical Principle Analysis of Transition Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2022
    Citations: 0
  • Title: Mathematical Principle Analysis of Separation Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2021
    Citations: 0
  • Title: Mathematical Model and Analysis Method for Flowfield Separation and Transition
    Authors: Yue, P., Xiao, J., Xu, K., Lu, Y., Peng, D.
    Year: 2021
    Citations: 5
  • Title: Numerical Implementation of Boundary Element Method for Determining Aerodynamic Characteristics around Airfoil System by Viscous Media
    Authors: Xu, K., Yue, P., Liu, Q., Lu, Y., Zhang, J.
    Year: 2020
    Citations: 3
  • Title: Extension of Calculus Operations in Cartesian Tensor Analysis
    Authors: Lu, Y., Yue, P., Wei, S.
    Year: 2020
    Citations: 1