Mehdi Rahimi | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Mehdi Rahimi | Mathematics | Best Researcher Award

Corresponding author at University of Qom, Iran

Dr. Mehdi Rahimi is an accomplished Associate Professor of Mathematics at the University of Qom, Iran, specializing in dynamical systems, ergodic theory, entropy, and information theory. He earned his Ph.D. in Mathematics from Amirkabir University of Technology (Tehran Polytechnic) in 2011, following his B.Sc. from the University of Tehran and M.Sc. from Sharif University of Technology. With over two decades of academic involvement, Dr. Rahimi has published extensively in peer-reviewed international journals, exploring advanced mathematical concepts and their applications in fields such as quantum chemistry and fuzzy systems. His contributions have earned him accolades such as the “Top Researcher of Qom University” in 2022 and first rank in both undergraduate and doctoral entrance exams. Fluent in Persian, English, and French, Dr. Rahimi also has a strong teaching record across undergraduate, graduate, and Ph.D. programs, making him a respected figure in both research and education.

Professional Profile 

🎓 Education of Dr. Mehdi Rahimi

Dr. Mehdi Rahimi has a strong academic foundation in mathematics, marked by excellence at Iran’s top institutions. He began his academic journey with a Bachelor of Science in Mathematics (1996–2000) from the prestigious University of Tehran 🎯, where he ranked first among his peers. He then pursued a Master of Science in Mathematics with a focus on Partial Differential Equations (2000–2002) at Sharif University of Technology, one of the leading engineering and science universities in the country. Continuing his advanced studies, Dr. Rahimi earned a Ph.D. in Mathematics with a specialization in Ergodic Theory (2006–2011) from Amirkabir University of Technology (Tehran Polytechnic) 🧠, again achieving the top rank among Ph.D. candidates. His academic path reflects a deep and consistent commitment to mathematical research and scholarly excellence.

💼 Professional Experience of Dr. Mehdi Rahimi

Dr. Mehdi Rahimi has been serving as an Associate Professor in the Department of Mathematics at the University of Qom since 2011, contributing over a decade of academic leadership and research excellence. In this role, he has taught a broad spectrum of courses ranging from undergraduate subjects like Calculus, Linear Algebra, and Differential Equations to advanced graduate and Ph.D.-level topics such as Ergodic Theory, Functional Analysis, and Information Geometry. 📘 His expertise in dynamical systems and entropy theory has not only shaped his research output but has also enriched the learning experience of countless students. With a consistent presence in both teaching and publishing, Dr. Rahimi has established himself as a vital contributor to the academic and scientific community at Qom University.

🔬 Research Interests of Dr. Mehdi Rahimi

Dr. Mehdi Rahimi’s research is deeply rooted in the fields of dynamical systems, ergodic theory, and information theory, with a particular emphasis on the mathematical concept of entropy and its diverse applications. 📊 His work explores how complex systems evolve over time, focusing on the behavior and predictability of such systems through entropy-based measures. He is especially interested in the structure and properties of measure-preserving transformations, the development of entropy functionals, and the application of fuzzy logic to dynamical systems. His interdisciplinary approach extends to areas like quantum chemistry and mathematical physics, where he applies theoretical mathematics to real-world phenomena, making his contributions both foundational and innovative in scope.

🏆 Awards and Honors of Dr. Mehdi Rahimi

Dr. Mehdi Rahimi has earned several prestigious academic honors throughout his career, reflecting his exceptional performance and dedication to mathematical sciences. He was ranked 1st among mathematics students during his B.Sc. studies at the University of Tehran 🎓 and also achieved first place in the nationwide university entrance examination for Ph.D. studies, underscoring his early academic brilliance. Additionally, he was ranked 45th in the highly competitive nationwide M.Sc. entrance exam. During his doctoral studies at Amirkabir University of Technology, he once again stood out by securing first rank among his peers. In recognition of his research contributions, Dr. Rahimi was honored as the Top Researcher of Qom University in 2022 🥇—a testament to his scholarly impact and continued excellence in the field of mathematics.

✅ Conclusion

Dr. Mohammad Rahimi is a highly qualified candidate for the Best Researcher Award, particularly within the field of Mathematics and Applied Dynamical Systems. His work exemplifies academic rigor, innovation, and a clear research trajectory. His foundational contributions to entropy in dynamical systems are notable, and his recognition as a top researcher within his institution underscores his impact.

📚 Publications

  1. Title: A Mathematical Modeling of n-State Systems
    Authors: [Not specified in your message, assumed to include Mehdi Rahimi]
    Journal: Physica A: Statistical Mechanics and Its Applications
    Year: 2025
    Citations: 0

  2. Title: A Family of Graphs Generated by Hilbert Spaces
    Authors: [Not specified in your message, assumed to include Mehdi Rahimi]
    Journal: Journal of Finsler Geometry and Its Applications
    Year: 2025
    Citations: 0

  3. Title: A Formula of Conditional Entropy for Metrics Induced by Probability Bi-Sequences
    Authors: [Not specified in your message, assumed to include Mehdi Rahimi]
    Journal: Acta Mathematica Scientia
    Year: 2025
    Citations: 0

 

 

Natalja Matsveichuk | Mathematics | Women Researcher Award

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Natalja Matsveichuk | Mathematics | Women Researcher Award

Assoc. Prof. Dr Natalja Matsveichuk, Belarusian State Agrarian Technical University, Belarus

Assoc. Prof. Dr. Natalja M. Matsveichuk is the Head of the Department at Belarusian State Agrarian Technical University (BSATU). She earned her PhD from the United Institute of Informatics Problems, National Academy of Sciences of Belarus, in 2010, and became an Associate Professor in Mathematics in 2020. With over 110 publications on scheduling, applied mathematics, and operations research, she has a notable h-index of 6. Dr. Matsveichuk has co-authored ten textbooks and contributed significantly to the field. Her research includes studies on differential evolution, scheduling problems, and automated technological processes. 📚🔬📈

Publication Profile

Scopus

Academic Background

Assoc. Prof. Dr. Natalja Matsveichuk holds a PhD from the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. 🎓 Her distinguished academic journey led her to earn the title of Associate Professor in Mathematics, a testament to her dedication and expertise in the field. 🧮 With extensive experience in mathematics, she has contributed significantly to both education and research, shaping the future of her discipline. 🌟 Dr. Matsveichuk’s work continues to inspire students and colleagues alike, reinforcing her position as a respected figure in the academic community. 📚🔬

Research Excellence

Assoc. Prof. Dr. Natalja Matsveichuk is a distinguished academic with over 110 research publications in the fields of scheduling, applied mathematics, operations research, and automated technological processes. Her extensive work has significantly advanced knowledge in these areas, making a profound impact on both theoretical and practical aspects. Through her research, she has demonstrated a strong commitment to solving complex challenges in operations and automation. Dr. Matsveichuk’s contributions continue to shape the future of these disciplines, showcasing her dedication to innovation and excellence in academia. 📚🔬📊🖥️

Innovative Research

Assoc. Prof. Dr. Natalja Matsveichuk is a dedicated researcher focusing on innovation in optimization methods. Her recent publications delve into advanced topics such as differential evolution with novel perturbation strategies, optimal scheduling, and job-shop scheduling with uncertain job durations. These studies aim to solve real-world challenges in operations research and manufacturing systems. Dr. Matsveichuk’s work is a testament to her commitment to applying theoretical solutions to practical problems, driving efficiency and effectiveness in various industries. Her contributions continue to shape advancements in optimization techniques. 🔍📊⚙️💡📅

Recognition and Impact

Assoc. Prof. Dr. Natalja Matsveichuk is a highly influential academic whose research has been widely cited in the academic community. Her work has garnered significant attention and recognition, underscoring the impact of her contributions to her field. Dr. Matsveichuk’s research has led to numerous collaborations with renowned researchers, further amplifying her academic influence. Her impressive citation count is a testament to the relevance and importance of her work. Through her continued excellence in research, she has established herself as a leading figure in her discipline, shaping the direction of future studies. 📚✨🔬👩‍🔬

Research Focus

Assoc. Prof. Dr. Natalja Matsveichuk’s research focuses on optimization and scheduling problems, particularly in contexts involving uncertainty and evolutionary algorithms. Her work delves into differential evolution strategies to enhance diversity and improve parameter settings in optimization processes. She has contributed to job scheduling problems, focusing on minimizing makespan with uncertain durations, and has explored uncertainty measures in scheduling models. Her research integrates mathematical optimization, computational intelligence, and uncertainty analysis, with significant applications in operations research, computational algorithms, and decision-making processes. 🧠🔍📈📊

Publication Top Notes

Diversity enhancement-based Differential Evolution with a novel perturbation strategy

Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution

OPTIMAL SELECTION AND SCHEDULING OF JOBS WITH UNCERTAIN DURATIONS FOR TWO EMPLOYEES

Schedule execution for two-machine job-shop to minimize makespan with uncertain processing times

Two-machine job-shop scheduling problem to minimize the makespan with uncertain job durations

David Almorza Gomar | Mathematics | Best Researcher Award

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David Almorza Gomar | Mathematics | Best Researcher Award

Dr David Almorza Gomar, University of Cádiz, Spain

Dr. David Almorza Gomar has an extensive academic background and significant contributions to research, particularly within the social sciences, making him a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Academic BackgroundStatistics

Dr. Almorza holds a Ph.D. in Mathematical Sciences from the University of Cádiz and has specialized in Open Systems and Databases. His role as a Professor at the University of Cádiz’s Department of Statistics and Operations Research further emphasizes his expertise and dedication to academia.

Research Publications

Between 2019 and 2021, Dr. Almorza published numerous high-impact research articles, including four in Q1 journals and two in Q2 journals, demonstrating his commitment to advancing knowledge in his field. His work spans across various levels of journal quality, showcasing versatility and depth.

Contribution to Social Sciences

Dr. Almorza has directed multiple doctoral theses and master’s dissertations related to social sciences, reflecting his role as a mentor and his significant influence on future scholars. His books and chapters further contribute to understanding social sciences, highlighting his interdisciplinary approach and dedication to addressing complex societal issues.

Involvement in Academic Conferences

His active participation in academic conferences, presenting papers, and leading discussions on social science topics further solidifies his reputation as a thought leader in his field. His engagement in these conferences indicates a commitment to sharing knowledge and contributing to academic discourse.

Teaching and Course Development

Dr. Almorza has also been instrumental in developing and delivering courses related to social sciences, such as Techniques of Social Research and Game Theory. His role in these educational initiatives underlines his dedication to cultivating a deep understanding of social sciences among students.

Conclusion

Given Dr. Almorza’s significant research output, his active role in guiding future researchers, his interdisciplinary contributions, and his strong academic presence, he is indeed a suitable and deserving candidate for the Best Researcher Award. His work not only advances the field of social sciences but also sets a standard of excellence in research and education.

Publication top notes

Happiness management: a culture to explore from brand orientation as a sign of responsible and sustainable production

Estudio diagnóstico del deporte universitario español

Waste management and the environment

El deporte universitario en Andalucía

GLP-1 mediated improvement of the glucose tolerance in the T2DM GK rat model after massive jejunal resection

Combining ability of flint corn inbred lines: Mal de Río Cuarto disease tolerance and grain yield

How does emotional salary influence job satisfaction?. A construct to be explored

Consecuencias del COVID-19 en la desigualdad presupuestaria de los equipos de Primera División de LaLiga en España

The leading role of peptide tyrosine tyrosine in glycemic control after Roux-en-Y gastric bypass in rats

Pancreas is a preeminent source of ghrelin after sleeve gastrectomy in Wistar rats

Sheheryar Shah | Mathematics | Best Researcher Award

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Sheheryar Shah | Mathematics | Best Researcher Award

Dr Sheheryar Shah, Xi’an Jiaotong University, China

Dr. Sheheryar Shah, PhD in Applied Mathematics, specializes in numerical methods and fluid dynamics. Currently a lecturer at Mardan Model School, he previously served as a visiting lecturer at Shaheed Benazir Bhutto University. His research focuses on optimal error estimates and computational methods for various fluid flow equations, published in reputable journals like Waves in Random and Complex Media and Journal of Scientific Computing. Driven by a passion for mathematical modeling, he continues to explore new frontiers in applied mathematics. 📊🔍

Publication profile

Scopus

Education

With a Ph.D. in Applied Mathematics from Xi’an Jiaotong University, Xi’an, China (September 2017 – December 2023), and a Master’s degree from Abdul Wali Khan University, Mardan, Pakistan (2014-2016), this individual has a solid foundation in mathematical sciences 📘🔢. Their advanced studies in applied mathematics demonstrate a deep commitment to the field, showcasing expertise and dedication to solving complex mathematical problems 🧮📚.

Experience

User worked as a visiting lecturer at Shaheed Benazir Bhutto University Sheringal (Pakistan) from March 15, 2021, to September 10, 2021. Subsequently, they served as a lecturer at Mardan Model School and College (Pakistan) from September 13, 2021, to August 31, 2022. 🎓

Achivements

In the final year of my M.Sc., I secured 3rd position, showcasing my dedication to academic excellence. My M.Phil studies were marked by distinction, achieving a notable GPA of 3.56 out of 4. Additionally, I was honored to receive the prestigious Chinese Government Scholarship, which further fueled my passion for learning and cultural exchange. 🎓🌟

Research focus

Dr. Sheheryar Shah’s research focuses on the application of Discontinuous Galerkin methods in numerical analysis, particularly in addressing hemivariational inequalities and quasi-variational inequalities in contact mechanics and fluid dynamics. His work explores a priori error estimates and entropy formation analysis, emphasizing computational efficiency and accuracy in complex physical systems. 📊 His collaborations span studies on magnetized fluid dynamics over stretching surfaces, integrating innovative wall conditions for practical applications in engineering and physics. 🌐

Publication top notes

Discontinuous Galerkin Methods for Hemivariational Inequalities in Contact Mechanics

Entropy formation analysis for magnetized ucm fluid over an exponentially stretching surface with pst and pshf wall conditions

A priori error estimates of discontinuous Galerkin methods for a quasi-variational inequality