Tag: Applied Mathematics Award

Łukasz Kruk | Mathematics | Research Excellence Award

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Prof. Łukasz Kruk | Mathematics | Research Excellence Award

Institute of Computer Science and Mathematics, Maria Curie Skłodowska University | Poland

Prof. Łukasz Kruk is an Associate Professor at the Institute of Computer Science and Mathematics, Maria Curie-Skłodowska University (UMCS), Lublin, Poland. He holds a PhD in Mathematics from the Courant Institute of Mathematical Sciences, New York University, and a habilitation from UMCS. His research expertise lies in stochastic networks, real-time and queueing systems, singular stochastic control, diffusion and fluid limits, and market microstructure modeling. Prof. Kruk has authored over 50 peer-reviewed publications in leading international journals such as Mathematics of Operations Research, SIAM Journal on Control and Optimization, and Annals of Applied Probability, and his work is widely cited within probability, operations research, and applied mathematics communities. He has collaborated internationally with researchers in the USA and Europe, contributing foundational results with practical relevance to telecommunications, service systems, and financial modeling.

Citation Metrics (Scopus)

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Featured Publications

Fluid Limits for Longest Remaining Time First Queues

Mathematics of Operations Research, 2024

A Singular Stochastic Control Problem with Direction Switching Cost

Mathematical Methods of Operations Research, 2023

Instability of LRTF Multiclass Queueing Networks

Operations Research Letters, 2023

 

Nasim Nasrabadi | Mathematics | Research Excellence Award

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Assist. Prof. Dr. Nasim Nasrabadi | Mathematics | Research Excellence Award

Dr. Nasim Nasrabadi is an accomplished Iranian mathematician and Assistant Professor in the Faculty of Mathematical Science and Statistics at the University of Birjand, where she has served since 2010. Born on September 6, 1982, she completed her academic journey in Applied Mathematics with a specialization in Operations Research at Kharazmi University of Tehran, earning her B.Sc., M.Sc., and Ph.D. degrees with outstanding academic performance. Her doctoral research, supervised by Professor G.R. Jahanshahloo and advised by Professor Pekka Korhonen, focused on advanced models for efficiency analysis. Dr. Nasrabadi’s research expertise spans Data Envelopment Analysis (DEA), Multiple Criteria Decision Making (MCDM), and Inverse Optimization, contributing significantly to these fields through high-impact journal publications, conference presentations, and a scholarly book in Persian on Multi-Criteria Decision Making. Her academic career includes international research experience at Aalto University in Finland, where she worked as a researcher and visiting scholar across multiple years. Nationally, she has held several leadership roles, including Research Affairs Administrator, Postgraduate Affairs Administrator, and Deputy Director of the Mathematics Department at the University of Birjand. She has also supervised several graduate theses and serves as a reviewer for prestigious journals such as the European Journal of Operational Research. Dr. Nasrabadi has been recognized throughout her academic path with numerous scholarships and awards for excellence. Fluent in English and skilled in mathematical programming tools including Maple, GAMS, and LaTeX, she continues to actively contribute to the advancement of applied mathematics and decision-making sciences.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Nasrabadi, N., Dehnokhalaji, A., Kiani, N. A., Korhonen, P. J., & Wallenius, J. (2012). Resource allocation for performance improvement. Annals of Operations Research, 196(1), 459–468.

Dehnokhalaji, A., Korhonen, P. J., Köksalan, M., Nasrabadi, N., & Wallenius, J. (2011). Convex cone-based partial order for multiple criteria alternatives. Decision Support Systems, 51(2), 256–261.

Dehnokhalaji, A., Korhonen, P. J., Köksalan, M., Nasrabadi, N., & Wallenius, J. (2010). Efficiency analysis to incorporate interval-scale data. European Journal of Operational Research, 207(2), 1116–1121.

Korhonen, P. J., Dehnokhalaji, A., & Nasrabadi, N. (2018). A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis.  European Journal of Operational Research, 265(3), 1005–1012.

Nasrabadi, N., Dehnokhalaji, A., Korhonen, P., & Wallenius, J. (2019). A stepwise benchmarking approach to DEA with interval scale data.
Journal of the Operational Research Society, 70(6), 954–961.

Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

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Ms. Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

University of Delhi | India

Ms. Lalhmingsangi Famhawite is a dedicated Research Scholar at the Department of Mathematics, University of Delhi, whose research lies at the intersection of Computational Fluid Dynamics (CFD) and Biomedical Engineering. Her academic and scientific pursuits focus on the numerical simulation of bioheat transfer processes in cryosurgical treatment of tumor tissues, applying advanced mathematical models to real-world biomedical challenges. With 4 peer-reviewed publications, 9 citations, and an h-index of 1, her scholarly work demonstrates growing influence in the field of computational biothermal modeling and mathematical applications in health technology. Her research contributions explore the complex interactions between thermal diffusion, vascular networks, and tissue damage during cryoablation procedures—a minimally invasive technique for cancer therapy. By combining finite element analysis, bioheat transfer modeling, and numerical simulation, she has developed innovative approaches to simulate and optimize cryosurgical processes, improving precision and safety in treatment outcomes. Ms. Famhawite’s work includes creating 2D and 3D vascularized liver tumor models, investigating coupled heat-mass transfer phenomena, and evaluating biomechanical effects of tissue freezing, which have significant implications for advancing computational medicine and patient-specific treatment design. Her technical expertise spans COMSOL Multiphysics, MATLAB, and finite element methods, enabling her to conduct high-fidelity simulations that align closely with experimental and clinical observations. She has presented her findings at prestigious international platforms, including the Indian Society of Theoretical and Applied Mechanics (ISTAM) and the International Conference on Recent Trends in Mathematics (ICRTM), reflecting her active engagement with the global research community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Tanwar, S., Famhawite, L., & Verma, P. R. (2023). Numerical simulation of bio-heat transfer for cryoablation of regularly shaped tumours in liver tissue using multiprobes. Journal of Thermal Biology, 113, 103531.

Famhawite, L., Tanwar, S., & Verma, P. R. (2024). PERSPECTIVE: Cryosurgery process applications: A mathematical review. CryoLetters, 45(5), 269–278.

Famhawite, L., Tanwar, S., & Verma, P. R. (2025). Numerical simulations to analyze the impact of vascular network complexity over cryosurgical treatment process of two-dimensional liver tumor tissue. International Journal for Computational Methods in Engineering Science and Mechanics.

Tanwar, S., Famhawite, L., & Verma, P. R. (2026). Bioheat transfer simulations of cryoablation and their comparison with different optimization techniques for patient-specific segmented liver tumor tissue. International Journal of Thermal Sciences, 220, 110301.

Ilhem Kadri | Mathematics | Best Researcher Award

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Dr. Ilhem Kadri | Mathematics | Best Researcher Award

Oran 1 Ahmed Ben Bella University, Algeria

Dr. Ilhem Kadri is an accomplished Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, with a Ph.D. in Applied Mathematics from the University of Jordan (2022) and a Master’s in Applied Mathematics from the University of Oran 1. Her educational foundation, including a Licence in Mathematics and early scientific training in Algeria, laid the groundwork for her expertise in fractional calculus, nonlinear partial differential equations, fractional differential equations, numerical and analytical methods, mathematical computing, and systems of differential equations. Throughout her career, Dr. Kadri has demonstrated strong professional engagement in both research and academic development, contributing significantly to applied and computational mathematics and exploring innovative analytical and numerical methods for solving complex differential systems. Her research interests include the study of atomic solutions, non-equilibrium dynamics, weak chaos in Hamiltonian and driven systems, and computational modeling using fractional and conformable differential equations. Dr. Kadri is proficient in LaTeX, Scientific Workplace, Mathematica, and MATLAB, enabling her to design and implement robust computational frameworks and advanced mathematical models. She has actively disseminated her research through international conferences and workshops, including events in Turkey, Greece, India, Malaysia, and Pakistan, and has authored 4 research documents, accumulating 10 citations with an h-index of 2, reflecting her growing impact in the field. Her academic contributions are complemented by her dedication to mentoring students and promoting research excellence in applied mathematics. Dr. Kadri’s awards and honors underscore her scholarly promise, while her work continues to bridge theoretical and computational approaches to complex mathematical phenomena. Her research vision emphasizes the integration of fractional calculus and computational techniques to address emerging challenges in science and engineering, demonstrating her potential to advance both the theoretical foundations and practical applications of mathematics, contributing significantly to global innovation, industrial solutions, and societal advancement.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  1. Kadri, I., Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150.

  2. Kadri, I., Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59.

  3. Kadri, I., Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6.

  4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I. (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

  5. Kadri, I., Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3), 6381.

Dr. Ilhem Kadri’s work advances the understanding and application of fractional and nonlinear differential equations, providing robust computational tools for modeling complex systems. Her research contributes to scientific innovation, supports industrial problem-solving, and enables the development of advanced technologies with broad societal impact.

Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

Vaal University of Technology | South Africa

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo is a distinguished academic and researcher in the field of applied physical sciences, serving at the Vaal University of Technology. With a strong background in Mechanical Engineering and specialization in Theoretical Fluid Dynamics, he has established himself as a recognized authority in Computational Fluid Dynamics (CFD), Mathematical Biology, and Mathematics Education. His career reflects a balance between teaching, research, scholarly publishing, and academic leadership, positioning him as a vital contributor to both local and international scientific communities. He has published extensively in peer-reviewed journals indexed in Scopus and ISI, authored and co-authored books, and contributed to the advancement of research through editorial roles and special issue guest editorships. Dr. Lebelo is also a committed mentor, guiding students in research and academic growth, and has actively participated in more than thirty international conferences where he has shared his expertise and findings. His dedication extends beyond academia through his involvement in volunteer platforms, editorial services, and authorship of books with broader educational and societal impact. Overall, his work demonstrates a unique blend of innovation, leadership, and service that makes him a respected scholar in his field.

Professional Profile

Scopus | ORCID

Education

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo holds a Ph.D. in Mechanical Engineering with a specialization in Theoretical Fluid Dynamics, which laid the foundation for his deep engagement in Computational Fluid Dynamics and applied mathematics research. His educational path provided him with both theoretical insight and practical knowledge, allowing him to pursue a wide range of multidisciplinary research areas. During his doctoral training, he developed advanced computational and mathematical modelling skills, enabling him to approach complex physical and engineering problems with rigorous analytical frameworks. His academic background also extends into applied physical sciences, providing him with a versatile foundation to teach, conduct research, and contribute to academic curricula in engineering and mathematics education. Dr. Lebelo’s educational experience has been marked by a balance of research, teaching, and applied study, equipping him with the capability to supervise postgraduate students and lead interdisciplinary collaborations. His scholarly journey reflects a strong commitment to academic excellence and a determination to contribute to both theoretical understanding and real-world problem-solving. Through his education, he has acquired the skills, knowledge, and academic credibility that continue to guide his contributions as a respected researcher and Associate Professor.

Professional Experience

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo’s professional experience encompasses academic teaching, research leadership, editorial responsibilities, and contributions to scientific dialogue at global platforms. At the Vaal University of Technology, he has played a significant role in advancing research in applied physical sciences while mentoring students and supporting academic programs in engineering and mathematics. His teaching extends to both undergraduate and postgraduate levels, focusing on mechanical engineering, computational techniques, and mathematical modelling. In addition to teaching, he has made substantial contributions as an editor and reviewer for over twenty international peer-reviewed journals, and he serves on editorial boards of several recognized publications. His experience includes guest-editing multiple special issues in fields such as mathematical applications, CFD, and differential equations, demonstrating his leadership in shaping research directions. Beyond editorial service, he has authored textbooks, research monographs, and co-edited volumes that support both academic and applied communities. Participation in international conferences has allowed him to disseminate his research findings, build networks, and engage in global collaborations. This broad professional experience highlights his academic leadership, influence in advancing scientific research, and his role as an educator committed to excellence and innovation in applied sciences.

Research Interests

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo research interests are highly interdisciplinary, bridging Mechanical Engineering, Applied Mathematics, and Biology. His primary specialization lies in Computational Fluid Dynamics (CFD), where he explores complex fluid systems through mathematical modelling and numerical simulations. This area of research allows him to address challenges in engineering, environmental sciences, and biomedical applications. He is equally engaged in Mathematical Biology, contributing models that examine biological processes and systems with applications in medicine and environmental sustainability. His interest in Mathematics Education reflects his commitment to advancing teaching methodologies and improving student engagement in engineering and mathematical sciences. Additionally, he has dedicated his efforts to developing advanced modelling approaches using differential equations, numerical methods, and simulation techniques. Through these research pursuits, Dr. Lebelo contributes not only to theoretical knowledge but also to applied problem-solving in science, technology, and education. His interdisciplinary focus enables him to foster collaborations across academic domains and engage in research that impacts both academia and industry. His body of work reflects a long-term vision to use mathematics and computation as tools for solving complex, real-world problems while simultaneously advancing academic learning and research.

Research Skills

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo possesses a diverse range of research skills that strengthen his ability to conduct and lead multidisciplinary studies. His expertise in Computational Fluid Dynamics equips him with advanced modelling, simulation, and analytical abilities essential for investigating fluid flow and engineering processes. He has strong skills in applied mathematics, particularly in differential equations, numerical analysis, and mathematical modelling, which he applies to both engineering and biological systems. His editorial work further demonstrates his ability to critically evaluate scientific manuscripts and contribute to shaping global research standards. In addition, he is skilled in research communication, having presented at more than thirty international conferences where he has shared complex ideas with clarity. His authorship of textbooks and research books highlights his capacity for synthesizing knowledge into accessible resources for students and professionals. Beyond technical abilities, Dr. Lebelo’s research skills include project leadership, mentoring students, and collaborating across international research teams. His combination of technical, analytical, and leadership skills reflects not only his capacity as a researcher but also as a thought leader who can influence the future of science and education.

Awards and Honors

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo has earned recognition for his academic and professional contributions through numerous honors, roles, and achievements. His reputation as a reviewer for more than twenty peer-reviewed journals highlights his respected standing in the global scientific community. His selection to serve on editorial boards and guest-edit special issues in prestigious journals reflects international acknowledgment of his expertise. Notably, he has edited volumes in areas such as mathematical applications, CFD, and applied mathematics, further strengthening his academic influence. His authorship and co-editorship of textbooks and research monographs, including works published by MDPI, Scientific.Net, and Frontiers, demonstrate his contribution to shaping academic discourse in engineering and applied mathematics. Beyond academic publishing, he has also authored spiritual books, expanding his impact beyond the scientific community into broader cultural and social contexts. His participation in over thirty international conferences, both as a presenter and academic representative, signifies recognition of his expertise on global platforms. These collective honors and accomplishments underscore his dedication, excellence, and leadership in advancing research, education, and societal contributions.

Publication Top Notes

  1. Irreversibility Analysis of Hydromagnetic Casson Fluid Flow Through an Inclined Channel with Isothermal Boundary Conditions — 2025

  2. Energy Efficacy Enhancement in a Reactive Couple-Stress Fluid Induced by Electrokinetics and Pressure Gradient with Variable Fluid Properties — 2025 — 1 citation

  3. Modelling epidemiological dynamics with pseudo-recovery via fractional-order derivative operator and optimal control measures — 2025 — 3 citations

  4. Convective and Radiative Heat Transfer Analysis in a Three-Step Exothermic Chemical Reaction: Case Study—Methane Combustion — 2025

  5. Impact of Optimal Intervention Strategies on Psychoactive Substance Abuse Dynamics With Addicted Immigrants: A Mathematical Study — 2025 — 1 citation

  6. Transformative learning in the PGDHE programmme at one university of technology in South Africa — 2025

  7. Modelling and Optimal Control of Influenza Dynamics with Structured Populations Based on Education and Isolation — 2025 — 1 citation

Conclusion

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo stands out as a remarkable academic whose contributions span teaching, research, publishing, and leadership in applied physical sciences. His work in Computational Fluid Dynamics, Mathematical Biology, and Mathematics Education has not only enriched theoretical understanding but also addressed real-world challenges across multiple disciplines. By publishing extensively, serving as an editor and reviewer, and authoring influential books, he has played a vital role in advancing scientific knowledge and shaping the academic community. His recognition at international conferences, along with his mentorship of students, demonstrates his role as both a leader and educator dedicated to future generations of scientists and engineers. The honors and editorial positions he has earned further solidify his reputation as a trusted and respected figure in the global research community. With a strong vision for interdisciplinary collaboration, he is poised to continue influencing the direction of applied mathematics and engineering research. His career reflects a rare blend of intellectual rigor, professional service, and social impact, making him truly deserving of recognition as a distinguished researcher and academic leader.

Mana Donganont | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Mana Donganont | Applied Mathematics, Control Theory | Best Researcher Award

University of Phayao | Thailand

Assist. Prof. Dr. Mana Donganont is a distinguished academic in the field of Applied Mathematics, with expertise in control theory, stability theory, hybrid systems, and functional equations. His research contributions have advanced the understanding of hybrid multi-agent systems, consensus problems, and stability analysis in mathematical and computational frameworks. He earned his Ph.D. in Applied Mathematics from the University of Waterloo, Canada, with a dissertation focused on “Consensus Problems in Hybrid Multi-Agent Systems.” Prior to this, he obtained his B.S. in Mathematics and M.S. in Applied Mathematics from Khon Kaen University, Thailand. Currently, he serves as an Assistant Professor in the Department of Mathematics, Faculty of Science, University of Phayao, Thailand, where he has been a faculty member. His academic portfolio includes over 35 publications in Scopus and IEEE-indexed journals, collaborative works across mathematics, computer science, and applied modeling, and participation in international research teams. He has also supervised postgraduate students and contributed to curriculum development, promoting advanced mathematics education. With his strong research record, academic leadership, and global collaborations, Assist. Prof. Dr. Mana Donganont’s has established himself as a promising figure in applied mathematics and interdisciplinary research.

Professional Profile

Scopus | ORCID

Education

Assist. Prof. Dr. Mana Donganont’s academic journey reflects his consistent dedication to mathematical sciences. He began with a Bachelor of Science (B.S.) in Mathematics from Khon Kaen University, Thailand, where he laid the foundation for his research interests in applied and pure mathematics. He continued his studies at the same university, earning a Master of Science (M.S.) in Applied Mathematics, specializing in advanced mathematical modeling and functional equations. His M.S. research introduced him to applied aspects of fixed-point theory and stability problems, which later became essential to his doctoral research. Pursuing academic excellence, he completed his Doctor of Philosophy (Ph.D.) in Applied Mathematics from the University of Waterloo, Canada, one of the world’s leading institutions in mathematical research. His doctoral dissertation, titled Consensus Problems in Hybrid Multi-Agent Systems, contributed significantly to the field of control theory and multi-agent system stability. This work not only provided theoretical advancements but also practical frameworks for computational and engineering applications. His strong academic foundation across Thailand and Canada reflects a global perspective on mathematical research, equipping him with the expertise to bridge theoretical constructs with real-world applications.

Professional Experience

Assist. Prof. Dr. Mana Donganont’s professional career is marked by his commitment to teaching, research, and international collaboration. He began his academic service as a Lecturer in Mathematics at the University of Phayao, Thailand, where he contributed to undergraduate teaching and research in applied mathematics. He was promoted to Assistant Professor, a recognition of his growing research contributions and academic service. At the University of Phayao, he has been instrumental in advancing the mathematics curriculum, supervising postgraduate students, and fostering a research-oriented academic environment. His role extends beyond teaching to include research collaborations with scholars from Canada, South Korea, and other international institutions. Over the years, he has co-authored more than 35 research articles published in reputed journals, including Applied Mathematical Modelling, Physica A, Open Mathematics, and Nonlinear Functional Analysis and Applications. He also contributes to academic peer review and has served as a reviewer for leading mathematics and applied science journals. Assist. Prof. Dr. Mana Donganont’s professional career reflects a balance of teaching excellence, high-quality research, and active collaboration, making him a recognized figure in applied mathematics in Thailand and beyond.

Research Interests

Assist. Prof. Dr. Mana Donganont’s research interests span both theoretical and applied mathematics, with a strong focus on interdisciplinary problem-solving. His primary areas include control theory, stability theory, hybrid systems, functional equations, and fixed-point theory. Within these domains, he has specialized in consensus problems in hybrid multi-agent systems, a topic of great importance in computational mathematics, robotics, and networked control systems. His work investigates the stability, convergence, and coordination of multi-agent systems under different conditions, contributing to both mathematical theory and engineering applications. Beyond his core expertise, he has extended his research into interdisciplinary applications, including mathematical modeling in machine learning, biomedical systems, and decision-making frameworks using neutrosophic sets. His collaborations with international scholars have resulted in publications that integrate mathematics with computer science, artificial intelligence, and applied probability. He has also contributed to the study of functional equations, Hyers-Ulam stability, and approximation theory, publishing influential works in journals indexed by Scopus and IEEE. His diverse research interests demonstrate not only depth in core mathematics but also breadth in interdisciplinary collaboration, positioning him as a versatile and impactful researcher with the ability to bridge pure mathematics and applied sciences.

Research Skills

Assist. Prof. Dr. Mana Donganont’s possesses a diverse set of research skills that enable him to address complex mathematical problems with rigor and innovation. He is highly skilled in advanced mathematical modeling, stability analysis, and fixed-point theory, with particular expertise in hybrid multi-agent systems. His doctoral work required extensive use of analytical techniques, computational methods, and stability verification frameworks, which he continues to apply in his current projects. He has demonstrated proficiency in mathematical software and computational tools, essential for modeling and simulating large-scale systems. His interdisciplinary collaborations highlight his adaptability, as he has applied mathematical methods to neutrosophic logic, biomedical diagnosis, traffic management, and stock market prediction models. Beyond technical expertise, Assist. Prof. Dr. Mana Donganont’s is skilled in academic publishing, scientific writing, and peer review, having authored more than 35 research articles in reputed journals. He has experience in supervising students, guiding them in research methodology, problem formulation, and publication preparation. His strong presentation and academic communication skills have enabled him to contribute at conferences and seminars. Collectively, his research skills reflect both technical mastery and the ability to engage with interdisciplinary problems, making him a valuable contributor to the international mathematical research community.

Awards and Honors

Assist. Prof. Dr. Mana Donganont’s academic journey is decorated with recognition for his contributions to mathematics and applied sciences. His most notable academic milestone is the Ph.D. degree awarded by the University of Waterloo, which positioned him among leading researchers in control theory and applied mathematics. Over the course of his career, his research outputs have gained visibility in internationally indexed journals such as IEEE, Scopus, and Web of Science, reflecting the global impact of his work. He has been recognized for his collaborative projects with international teams, contributing to advancements in stability theory, machine learning, and biomedical applications. His promotion to Assistant Professor at the University of Phayao stands as an institutional acknowledgment of his academic contributions. Additionally, his involvement as a reviewer for international journals highlights his role in shaping the academic discourse in applied mathematics. While much of his recognition lies in academic publications and institutional advancement, his career trajectory demonstrates a consistent pattern of excellence, scholarly recognition, and growing influence. As he continues to build on this foundation, further honors at international levels are anticipated, particularly in research leadership and collaborative innovation.

Publication Top Notes

  • Finite-time scaled consensus in hybrid multi-agent systems via conjugate gradient methods — 2025 — Citations: Not available

  • Probabilistic approaches to scaled consensus in dynamic multi-agent networks — 2025 — Citations: Not available

  • Hyers-Ulam stability of antiderivation in Banach algebra via fixed point theorem — 2025 — Citations: Not available

  • Ulam stability of linear differential equations of higher order using Aboodh transform — 2025 — Citations: Not available

  • Complex neutrosophic vague soft graphs — 2025

Conclusion

Assist. Prof. Dr. Mana Donganont has established himself as a dedicated scholar whose research has contributed significantly to applied mathematics, hybrid multi-agent systems, and stability theory. His academic achievements, marked by degrees from leading institutions in Thailand and Canada, reflect his international perspective and deep mathematical expertise. Professionally, his steady progression from Lecturer to Assistant Professor highlights his commitment to teaching, mentoring, and advancing research at the University of Phayao. With more than 35 publications in prestigious journals, his work has influenced not only mathematics but also interdisciplinary applications in machine learning, biomedical systems, and decision-making frameworks. His research interests and skills illustrate a strong ability to bridge theory with application, ensuring relevance in both academic and practical contexts. Recognized for his collaborations and contributions to scientific literature, Assist. Prof. Dr. Mana Donganont’s represents a new generation of Thai mathematicians contributing globally. With ongoing dedication, he is well-positioned to achieve further recognition, expand his global collaborations, and continue shaping the field of applied mathematics. His career trajectory demonstrates excellence, impact, and strong potential for future leadership, making him a deserving candidate for international research awards.

Alexander Zlotnik | Mathematics | Best Researcher Award

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Prof. Dr. Alexander Zlotnik | Mathematics | Best Researcher Award

Professor from Higher School of Economics, Russia

Alexander A. Zlotnik is a leading Russian mathematician and a Professor-Researcher at the Department of Mathematics, Faculty of Economic Sciences, Higher School of Economics (HSE) University in Moscow. With a deep focus on computational mathematics, he has made extensive contributions to the numerical analysis of partial differential equations (PDEs). Zlotnik’s research spans a variety of mathematical models, including quasi-gasdynamic systems, wave equations, and hyperbolic-parabolic equations. His theoretical contributions have led to the development of robust and stable numerical schemes with proven convergence properties and applications in fluid dynamics, heat conduction, and wave propagation. He has authored over 225 scientific publications in top-tier international journals and has collaborated with researchers from Europe, Asia, and the Middle East. Zlotnik is also known for mentoring graduate students and serving on editorial boards of influential journals. His academic journey reflects both depth and breadth in applied mathematics, making him a respected voice in the global mathematical community. He is also recognized for his interdisciplinary applications of numerical methods to real-world problems, which positions him as a bridge between theory and practice in modern computational science. His continued academic excellence and leadership exemplify his eligibility for global recognition.

Professional Profile

Education

Professor Alexander A. Zlotnik earned his foundational education in mathematics at Lomonosov Moscow State University, one of Russia’s most prestigious institutions. He completed his Ph.D. in Computational Mathematics in 1980, focusing on the numerical methods for solving complex partial differential equations. His early academic achievements were marked by a rigorous training in applied mathematics, providing a strong foundation for his future research. In 1993, he was awarded the Doctor of Science (D.Sc.) degree, which is the highest academic qualification in Russia, signifying a significant contribution to a scientific field. This advanced degree focused on the mathematical theory and numerical implementation of gas dynamics and wave models, areas that would become central to his career. His academic training at Moscow State University provided not only technical expertise but also exposure to the prominent mathematical thinkers of the time. Over the years, Zlotnik’s academic qualifications have been further enriched by research fellowships and academic visits across Europe and Asia, including collaborations in France, Germany, Korea, and China. These global academic experiences have expanded his intellectual horizons and informed the interdisciplinary nature of his subsequent work in computational mathematics and numerical analysis.

Professional Experience

Alexander A. Zlotnik has built a prolific academic and research career across several esteemed Russian and international institutions. He began his professional journey as a researcher and faculty member at the Moscow Power Engineering Institute, where he worked on numerical simulations and stability of physical systems modeled by partial differential equations. Later, he held positions at the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, contributing significantly to theoretical and applied computational mathematics. Since 2002, he has served as a Professor-Researcher at the Higher School of Economics (HSE) University, one of Russia’s leading academic institutions. At HSE, he has been instrumental in advancing research in mathematical modeling and numerical analysis, teaching advanced mathematics, and supervising doctoral students. Beyond Russia, Zlotnik has held visiting positions and collaborated with universities in France, Germany, Sweden, Korea, and China, further enriching his professional expertise. His experience includes project leadership for major research grants funded by the Russian Science Foundation and Russian Foundation for Basic Research. Throughout his career, he has consistently bridged theoretical work with practical computational solutions, making him a respected figure in applied mathematics and computational sciences.

Research Interest

Professor Zlotnik’s research interests lie at the intersection of applied mathematics, numerical analysis, and mathematical modeling of physical systems. His primary focus is on numerical methods for partial differential equations (PDEs), particularly hyperbolic, parabolic, and quasi-gasdynamic systems. He is recognized for developing compact, stable, and conservative numerical schemes that preserve the structural properties of PDEs and ensure accurate simulation of physical phenomena such as fluid flow, heat transfer, and wave propagation. He has extensively worked on the theory of dissipativity, convergence, and stability of difference methods, providing rigorous mathematical justifications for computational algorithms. Zlotnik is also interested in the mathematical modeling of multiphase flows, acoustics, and electromagnetism, aiming to provide reliable simulations for industrial and scientific applications. His research integrates both theoretical foundations and practical computations, ensuring that models are both mathematically sound and computationally efficient. His ongoing projects include the development of new algorithms for solving initial-boundary value problems and studying the asymptotic behavior of solutions. Through his research, Zlotnik contributes to advancing computational tools that support scientific discovery and engineering innovation. His interdisciplinary approach connects mathematics with physics, computer science, and engineering, making his work widely applicable and globally relevant.

Research Skills

Professor Alexander Zlotnik possesses a robust set of research skills centered on numerical methods, differential equations, and computational modeling. His expertise includes designing and analyzing finite difference and finite element schemes for solving complex physical problems governed by PDEs. He is highly skilled in establishing mathematical proofs of convergence and stability, critical for validating computational methods used in simulations of gas dynamics, wave phenomena, and heat conduction. Zlotnik also has in-depth knowledge of numerical linear algebra, approximation theory, and functional analysis, which supports his ability to construct efficient algorithms for large-scale simulations. He is proficient in software development for mathematical modeling and has collaborated on the implementation of custom numerical solvers. His analytical rigor allows him to translate theoretical insights into practical computing solutions. He is also experienced in supervising experimental validations in partnership with physicists and engineers. Furthermore, Zlotnik demonstrates strong project management and research leadership skills, successfully directing multi-institutional research collaborations and securing competitive research grants. His versatility in blending deep theory with computational tools and cross-disciplinary methods makes him a valuable asset in advancing both academic research and real-world applications.

Awards and Honors

Over his distinguished career, Professor Alexander A. Zlotnik has received several honors that highlight his contributions to mathematics and science. While formal national awards may not be frequently publicized, his recognition comes through academic distinctions, international invitations, and editorial board appointments. He has been entrusted with principal investigator roles in numerous competitive grants from the Russian Science Foundation (RSF) and the Russian Foundation for Basic Research (RFBR)—a testament to his research excellence and national reputation. He has been regularly invited to speak at international conferences, including those in France, Germany, Sweden, China, Korea, and Algeria, and has led key collaborations with European research institutions. Zlotnik serves as an editorial board member of prestigious journals such as Applicable Analysis, Entropy, and Symmetry, and formerly Computational Methods in Applied Mathematics, which underscores his standing in the scholarly community. His extensive reviewing activities for over 30 scientific journals also demonstrate peer recognition and trust. Moreover, he has successfully supervised Ph.D. students who have gone on to become academics and researchers, amplifying his academic legacy. These honors reflect his commitment to advancing mathematical sciences and mentoring the next generation of scholars.

Conclusion

Professor Alexander A. Zlotnik stands as a paragon of academic rigor, innovation, and global collaboration in the field of numerical mathematics. His extensive contributions to the theory and application of numerical methods for PDEs have significantly advanced the understanding and computational modeling of physical systems. With over 225 publications, he continues to impact both theoretical and applied research communities. His academic background, rooted in the world-class tradition of Moscow State University, has evolved through decades of research, teaching, and international engagement. He exemplifies the rare combination of deep theoretical insight, practical computational skill, and the ability to lead large-scale research efforts. Zlotnik’s influence extends beyond publications to mentoring students, fostering collaborations, and shaping editorial standards in mathematical journals. His interdisciplinary work connects mathematics with engineering, physics, and computer science, addressing contemporary scientific and industrial challenges. As a result, he has rightfully earned respect as a thought leader in computational science. Professor Zlotnik’s profile makes him an outstanding nominee for any global research award, recognizing both his lifetime achievements and his ongoing contributions to mathematical sciences and computational innovation.

Publications Top Notes

  1. Uniform estimates and stabilization of symmetric solutions of a system of quasilinear equations
    Author: A.A. Zlotnik
    Journal: Differential Equations, Vol. 36(5), pp. 701–716
    Year: 2000
    Citations: 142
  2. Parabolicity of the quasi-gasdynamic system of equations, its hyperbolic second-order modification, and the stability of small perturbations for them
    Authors: A.A. Zlotnik, B.N. Chetverushkin
    Journal: Computational Mathematics and Mathematical Physics, Vol. 48(3), pp. 420–446
    Year: 2008
    Citations: 119
  3. Lyapunov functional method for 1D radiative and reactive viscous gas dynamics
    Authors: B. Ducomet, A. Zlotnik
    Journal: Archive for Rational Mechanics and Analysis, Vol. 177(2), pp. 185–229
    Year: 2005
    Citations: 78
  4. Global generalized solutions of the equations of the one-dimensional motion of a viscous heat-conducting gas
    Authors: A.A. Amosov, A.A. Zlotnik
    Journal: Soviet Math. Dokl, Vol. 38(1), p. 5
    Year: 1989
    Citations: 78
  5. Solvability “in the large” of a system of equations of the one-dimensional motion of an inhomogeneous viscous heat-conducting gas
    Authors: A.A. Amosov, A.A. Zlotnik
    Journal: Mathematical Notes, Vol. 52(2), pp. 753–763
    Year: 1992
    Citations: 73
  6. Convergence rate estimates of finite-element methods for second-order hyperbolic equations
    Author: A.A. Zlotnik
    Book: Numerical Methods and Applications, CRC Press, Boca Raton, pp. 155–220
    Year: 1994
    Citations: 72
  7. On stability of generalized solutions to the equations of one-dimensional motion of a viscous heat conducting gas
    Authors: A.A. Zlotnik, A.A. Amosov
    Journal: Siberian Mathematical Journal, Vol. 38(4), pp. 663–684
    Year: 1997
    Citations: 69
  8. Energy equalities and estimates for barotropic quasi-gasdynamic and quasi-hydrodynamic systems of equations
    Author: A.A. Zlotnik
    Journal: Computational Mathematics and Mathematical Physics, Vol. 50(2), pp. 310–321
    Year: 2010
    Citations: 68
  9. On the large-time behavior of 1D radiative and reactive viscous flows for higher-order kinetics
    Authors: B. Ducomet, A. Zlotnik
    Journal: Nonlinear Analysis: Theory, Methods & Applications, Vol. 63(8), pp. 1011–1033
    Year: 2005
    Citations: 62
  10. Parabolicity of a quasihydrodynamic system of equations and the stability of its small perturbations
    Author: A.A. Zlotnik
    Journal: Mathematical Notes, Vol. 83(5), pp. 610–623
    Year: 2008
    Citations: 61

 

Yongfeng Li | Mathematics | Best Researcher Award

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Prof. Dr. Yongfeng Li | Mathematics | Best Researcher Award

Zhengzhou University of Light Industry, China

Professor Yongfeng Li is a distinguished academic and researcher in the field of mathematics, currently serving at Zhengzhou University of Light Industry. With over two decades of teaching and research experience, she has made significant contributions in biomathematics, particularly in population ecology and infectious disease dynamics. She is a master’s supervisor, recognized as a young backbone teacher in Henan Province, and has been acknowledged as an Outstanding Postgraduate Supervisor at her institution. Her international academic exposure includes a year as a visiting scholar at York University, Canada, supported by the China Scholarship Council. Professor Li has successfully led multiple funded projects, including a major one supported by the National Natural Science Foundation of China. In addition to her research accomplishments, she is dedicated to teaching, having instructed both undergraduate and postgraduate courses in core mathematical disciplines. She has published more than 40 research papers in reputable journals and contributed to textbook development. Professor Li has actively guided students in academic competitions, earning institutional and provincial recognition. Her service as a journal reviewer underscores her standing in the academic community. Overall, Professor Li’s profile reflects a balance of research excellence, educational leadership, and international engagement.

Professional Profile

Education

Yongfeng Li pursued her academic journey in mathematics, culminating in a Ph.D. from Nanjing Normal University between 2006 and 2009. Prior to that, she earned her Master’s degree in Mathematics from Xinyang Normal University from 2003 to 2006. She also completed her Bachelor’s degree in Mathematics from the same institution between 1999 and 2003. Her educational path reflects a continuous and focused engagement in mathematical sciences, providing her with a solid foundation in both theoretical and applied aspects of the field. Each stage of her academic progression contributed to her growing interest in biomathematics and mathematical modeling. During her doctoral studies, she likely concentrated on more specialized topics in ordinary and partial differential equations, which now serve as the theoretical backbone of her current research in infectious disease dynamics and population ecology. Her educational background not only prepared her for a successful academic career but also equipped her with the tools to contribute meaningfully to applied mathematical problems. The institutions she attended are known for their rigorous programs in science and education, ensuring that she developed both deep disciplinary knowledge and the capacity for interdisciplinary research.

Professional Experience

Since 1999, Professor Yongfeng Li has been affiliated with Zhengzhou University of Light Industry, where she has built a robust academic and research career. Over the years, she has assumed various academic roles, advancing from a teaching position to becoming a full professor and a postgraduate supervisor. Her experience spans teaching undergraduate and postgraduate students, conducting independent and collaborative research, and guiding students in competitive academic environments. From July 2015 to July 2016, she broadened her global academic perspective as a visiting scholar at York University in Canada, under the sponsorship of the China Scholarship Council. This experience enriched her research methodologies and established valuable international academic networks. Throughout her career, Professor Li has been involved in developing and delivering a wide range of mathematics courses, such as Mathematical Analysis, Advanced Mathematics, and Differential Equations. Her practical experience is complemented by administrative and mentoring responsibilities, contributing to the academic governance and development of her department. In addition to her university role, she has contributed to the wider academic community as a reviewer for international journals. Her professional journey reflects dedication to both academic excellence and student development within a structured and evolving academic environment.

Research Interests

Professor Yongfeng Li’s primary research interests lie in the domain of biomathematics, with a specific focus on mathematical modeling in population ecology and infectious disease dynamics. Her work involves developing and analyzing differential equation models to understand complex biological and epidemiological systems. These models help in simulating and predicting the behavior of diseases or populations under varying conditions, contributing to public health strategies and environmental management. Her research bridges theoretical mathematics with real-world biological phenomena, offering insights into how mathematical tools can be applied to address pressing scientific and societal problems. Additionally, she explores the stability, bifurcation, and long-term behavior of nonlinear dynamic systems, particularly in delayed and impulsive differential equations. This reflects a strong foundation in both pure and applied mathematics. Professor Li’s interest in mathematical modeling has also extended into interdisciplinary projects, allowing for collaboration with professionals in biology, medicine, and environmental sciences. Her ability to contextualize mathematics in biological systems has enabled her to lead and contribute to research that is both academically rigorous and socially relevant. These interests underscore her commitment to research that informs practice and policy while advancing mathematical theory.

Research Skills

Professor Yongfeng Li possesses a diverse and comprehensive set of research skills rooted in advanced mathematical analysis, modeling, and applied mathematics. She is highly proficient in developing mathematical models for biological systems, particularly using ordinary differential equations (ODEs), delay differential equations (DDEs), and impulsive differential equations to describe population dynamics and the spread of infectious diseases. Her expertise extends to qualitative and stability analysis of nonlinear systems, bifurcation theory, and numerical simulations. These skills are crucial in assessing the robustness, equilibrium, and long-term behavior of modeled phenomena. She is also adept at using mathematical software tools such as MATLAB and Mathematica to perform simulations, verify theoretical findings, and visualize results. Her strong analytical thinking and problem-solving ability enable her to tackle complex interdisciplinary questions, often in collaboration with experts from the life sciences. As a reviewer for international journals, she demonstrates a refined skill in critical analysis and scholarly evaluation. Furthermore, her experience in curriculum development and textbook compilation reflects her ability to translate complex research into educational content. These competencies collectively enable her to conduct impactful research, contribute to academic discourse, and mentor future scholars effectively.

Awards and Honors

Professor Yongfeng Li has received numerous awards and recognitions throughout her career, highlighting her excellence in teaching, research, and mentorship. In 2023, she was honored as an Outstanding Postgraduate Supervisor by Zhengzhou University of Light Industry, acknowledging her significant role in graduate education and student development. She was also recognized as an Outstanding Instructor in the 2021 National College Students’ Mathematics Competition, reflecting her effectiveness in mentoring students for high-level academic competitions. In 2019, she won the Second Prize in the Fifth Mathematics Micro-course Teaching Design Competition in Henan Province, which demonstrates her innovative approach to teaching. Notably, she was selected as a Young Backbone Teacher by the Henan provincial education authority in 2017, a designation that identifies promising academic leaders. Earlier in her career, she contributed to a project that received the First Prize for Scientific and Technological Achievements from the Education Department of Henan Province in 2013. These accolades underline her consistent performance, leadership, and contributions to both academic scholarship and student success. They also signify her standing as a respected member of the higher education and research community in China.

Conclusion

Professor Yongfeng Li’s academic journey exemplifies dedication, excellence, and impact across teaching, research, and mentorship. With a solid foundation in mathematics and a clear focus on biomathematics, she has consistently contributed to the advancement of knowledge through publications, funded projects, and interdisciplinary applications. Her ability to lead research teams, supervise graduate students, and guide undergraduates in national competitions speaks to her well-rounded academic profile. Her career has been marked by recognition at institutional and provincial levels, reflecting both her scholarly output and her role in nurturing academic talent. International exposure as a visiting scholar has broadened her perspective, while her ongoing role as a journal reviewer ensures she remains actively engaged with current research trends. Though her profile could benefit from further international collaborations and publications in top-tier journals, her current achievements make her a strong candidate for any research-based recognition. Her work contributes not only to the theoretical foundations of mathematics but also to practical solutions in population and health sciences. Professor Yongfeng Li stands out as a committed educator and researcher whose accomplishments align well with the standards of excellence for the Best Researcher Award.

Publications Top Notes

  • Title: Dynamical analysis of a plateau pika disease model with time delay
    Journal: Advances in Continuous and Discrete Models

  • Title: Dynamics of a Filippov airborne infectious disease model with triple-threshold control strategy
    Journal: Journal of Biological Systems

 

Moirangthem Meenakumari Devi | Mathematics | Best Researcher Award

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Ms. Moirangthem Meenakumari Devi | Mathematics | Best Researcher Award

Manipur University, India 

Moirangthem Meenakumari Devi is an emerging research scholar in the field of relativity and cosmology, currently pursuing her doctoral studies at Manipur University, Imphal. With a strong academic background in Mathematics from top-tier institutions such as the University of Delhi and Miranda House, she has consistently demonstrated intellectual rigor and a passion for theoretical sciences. She is a highly motivated individual with strong organizational skills and a keen interest in exploring and investigating new ideas through scientific inquiry. Her career aspirations align with contributing meaningfully to the scientific community by solving complex problems and advancing the frontiers of knowledge in mathematical physics. In addition to her academic pursuits, she possesses strong problem-solving and critical thinking abilities, which are essential for success in high-level research. Her enthusiasm for learning and her commitment to excellence position her as a capable and dedicated scholar with the potential to make a significant impact in her domain. Though early in her research career, her academic journey and proactive mindset reflect a deep-rooted commitment to the advancement of science and a future filled with scholarly promise.

Professional Profile

Education

Moirangthem Meenakumari Devi’s academic background is grounded in a strong foundation of mathematics, cultivated through rigorous study at some of India’s most respected educational institutions. She is currently enrolled in a Ph.D. program at Manipur University, Imphal, focusing her research in the advanced field of relativity and cosmology. Prior to this, she completed her Master of Science (M.Sc.) in Mathematics from the Faculty of Mathematical Sciences, University of Delhi, from June 2019 to June 2021, graduating with a CGPA of 8.31. Her undergraduate studies were completed at Miranda House, University of Delhi, where she earned a B.Sc. (Hons) in Mathematics between June 2016 and June 2019, scoring a CGPA of 8.23. Her foundational years were spent at Xtra Edge School in Imphal, where she completed her Higher Secondary education with an impressive 85.04% from June 2014 to June 2016. This strong educational trajectory underscores her dedication to academic excellence and her preparedness to engage in deep and sustained scientific inquiry. Each stage of her education has contributed to refining her analytical capabilities and theoretical understanding, equipping her for high-level research in cosmology and mathematical physics.

Professional Experience

As a young and passionate scholar, Moirangthem Meenakumari Devi is currently engaged full-time in her Ph.D. research at Manipur University, beginning in May 2022. While she may not yet have held conventional professional roles in academia or industry, her current position as a research scholar involves extensive academic responsibility, including conducting literature reviews, performing theoretical modeling, analyzing data, and developing new insights in the field of relativity and cosmology. Her role as a doctoral researcher also includes collaborating with faculty members, participating in academic discussions, and contributing to the university’s research output. Through this experience, she has been refining critical skills such as independent research, scientific writing, time management, and academic presentation. Her pursuit of knowledge within a highly specialized domain demonstrates professional maturity and a readiness to grow into future roles within academia or research institutions. While formal job experience is limited due to her continued focus on education and research, the depth and rigor of her doctoral work reflect the professional discipline, intellectual curiosity, and commitment essential for a successful research career.

Research Interest

Moirangthem Meenakumari Devi’s core research interest lies in the realm of relativity and cosmology, areas that explore the nature of spacetime, the universe’s structure, and the fundamental forces that govern cosmic phenomena. Her current doctoral work delves into theoretical aspects of general relativity, gravitational models, and cosmological theories, aiming to address key questions in the evolution and dynamics of the universe. Her mathematical background supports the analytical complexity required for such research, including differential equations, tensor calculus, and mathematical modeling of physical systems. She is particularly drawn to the intersection of mathematics and physics, where abstract theory can yield concrete understanding of the universe’s origin, structure, and eventual fate. This focus not only contributes to fundamental science but also opens avenues for applied research in astrophysics and theoretical physics. By integrating rigorous mathematics with deep physical concepts, her research aims to expand scientific knowledge and inspire further exploration into the mysteries of the cosmos. Her growing expertise in cosmology positions her to contribute meaningfully to the academic community and to future scientific advancements in this critical area of physics.

Research Skills

Moirangthem Meenakumari Devi possesses a strong suite of research skills that are well-aligned with the demands of theoretical and mathematical physics. Her key competencies include advanced problem-solving and critical thinking, both of which are essential for formulating and testing hypotheses in complex domains like relativity and cosmology. She demonstrates proficiency in mathematical reasoning, logical deduction, and the ability to work through abstract theoretical problems with precision and patience. Her graduate and doctoral studies have equipped her with skills in analytical computation, theoretical modeling, and scientific reasoning. Additionally, she is developing her skills in academic writing, enabling her to communicate complex ideas clearly and effectively through reports, research papers, and presentations. She is also proficient in English and Hindi, which aids in academic collaboration and dissemination of knowledge across diverse platforms. Her adaptability and eagerness to learn are reflected in her interest in exploring new mathematical frameworks and methodologies. As she continues her research, she is likely to deepen her experience with scientific tools, programming for simulations, and collaborative research techniques that will enhance her academic and professional impact.

Awards and Honors

As of now, Moirangthem Meenakumari Devi’s profile does not list any specific awards or honors. However, her consistent academic excellence, demonstrated through high CGPAs in both undergraduate and postgraduate studies from institutions like Miranda House and the University of Delhi, suggests a strong performance track record. These accomplishments are often competitive and reflect distinction among peers, especially in rigorous subjects such as mathematics. Additionally, gaining admission into a Ph.D. program in a specialized and demanding field like relativity and cosmology is itself a significant academic milestone. With ongoing research and potential future publications, conference presentations, or fellowships, she is well-positioned to earn formal recognitions and awards in the coming stages of her academic career. Active participation in scholarly activities, submission to journals, and engagement in research communities will further enhance her profile for national and international honors. As she progresses, awards acknowledging young researchers or contributions to fundamental science will likely follow, adding to her credibility and standing in the academic world.

Conclusion

Moirangthem Meenakumari Devi embodies the qualities of a focused, intelligent, and driven research scholar poised for a successful academic career in theoretical physics. Her journey from an outstanding mathematics student to a Ph.D. researcher in relativity and cosmology is a testament to her dedication, intellectual curiosity, and resilience. Although at an early stage in her research career, her academic background, sharp analytical abilities, and passion for fundamental science provide a strong foundation for future contributions. With continued effort, engagement in scholarly activities, and active dissemination of her research, she is expected to emerge as a significant contributor in the field. The depth of her research interest, coupled with her evolving research skills, makes her a promising candidate for academic and research recognitions in the future. She is well-suited for opportunities that support early-career researchers and can be confidently recommended for awards, fellowships, and collaborative projects that encourage academic excellence and scientific advancement.

Publications Top Notes

  1. Parametrization of the Hubble parameter in f(R,T) theory
    Authors: Moirangthem Meenakumari Devi, Kangujam Priyokumar Singh
    Year: 2025
    Published in: International Journal of Modern Physics A
  2. Exploring the limitless potential of the hyperbolic scale factor in a spherically symmetric spacetime
    Authors: Moirangthem Meenakumari Devi, Kangujam Priyokumar Singh
    Year: 2025
    Published in: Modern Physics Letters A

Ehsan Kheirandish | Mathematics | Best Researcher Award

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Dr. Ehsan Kheirandish | Mathematics | Best Researcher Award

Applied Math. Department, Shahid Bahonar University, Iran

Dr. Ehsan Kheirandish is a Ph.D. graduate in Applied Mathematics from Shahid Bahonar University of Kerman, Iran. His academic journey reflects a consistent focus on the fields of numerical analysis and numerical linear algebra, with a particular specialization in matrix theory and tensor computations. With a solid background in theoretical and computational mathematics, Dr. Kheirandish has contributed to the understanding and development of generalized inverses, including W-weighted core-EP matrices and bilateral inverses via Einstein products. His work has been published in reputable peer-reviewed journals and presented at national mathematical conferences. He also possesses strong teaching and mentoring capabilities, having taught courses such as differential equations and numerical methods, and assisted in subjects including matrix theory and linear algebra. As an emerging researcher, Dr. Kheirandish is building a strong foundation for a promising academic and research-oriented career. His consistent publication record, collaboration with senior researchers, and participation in academic seminars showcase a commitment to advancing mathematical science. While still early in his career, his academic rigor and research clarity place him in a favorable position for future accomplishments in applied and computational mathematics.

Professional Profile

Education

Dr. Ehsan Kheirandish pursued a structured academic path in the field of mathematics. He began his undergraduate studies in 2011 at Hakim Sabzevari University, Iran, where he earned a Bachelor of Science (B.S.) degree in Mathematics in 2014. During his undergraduate studies, he developed a foundational understanding of core mathematical principles, which laid the groundwork for his graduate education. He furthered his studies with a Master of Science (M.S.) degree in Mathematics at Tabriz University from 2015 to 2017. Here, he began to engage with more advanced topics in numerical analysis and linear algebra, likely initiating his first exposure to research methods and applications in matrix theory. From 2018 to 2024, Dr. Kheirandish completed his Doctor of Philosophy (Ph.D.) in Applied Mathematics at Shahid Bahonar University of Kerman, Iran. His doctoral research focused on specialized matrix computations and the theoretical aspects of generalized inverses. Throughout his academic training, Dr. Kheirandish was mentored by expert mathematicians and collaborated with established researchers, which helped shape his research interests. His education has been consistent, rigorous, and deeply aligned with his current research output, positioning him well for academic and professional contributions to the field of applied mathematics.

Professional Experience

Dr. Ehsan Kheirandish has gained professional experience primarily through academic teaching and research activities within Iranian universities. During his postgraduate studies, he took on responsibilities as a teaching assistant in several mathematics courses, including Basics of Matrices and Linear Algebra, Numerical Analysis, and Numerical Linear Algebra. His involvement in course instruction extended to leading undergraduate classes in Differential Equations and Numerical Calculations, where he helped students understand complex mathematical theories through practical examples and problem-solving sessions. This experience demonstrates his ability to communicate mathematical ideas effectively and support student learning. In addition to teaching, Dr. Kheirandish has been actively engaged in research projects, often in collaboration with senior scholars such as A. Salemi and Q. Wang. Although his professional roles have thus far remained within the academic sphere, his consistent participation in national seminars and mathematics conferences indicates a proactive effort to integrate research with professional development. Dr. Kheirandish’s academic positions have not yet extended to formal university faculty roles or international appointments; however, his profile reflects growing expertise and responsibility within academic institutions in Iran. His professional experience underscores a balance between teaching, mentorship, and original research contributions in applied mathematics.

Research Interest

Dr. Ehsan Kheirandish’s research interests lie at the intersection of numerical analysis and numerical linear algebra, with a particular focus on generalized inverses of matrices and tensors. His work centers on the theoretical development and practical computation of matrix inverses, including novel concepts like W-weighted core-EP matrices and generalized bilateral inverses. A significant part of his recent research also investigates the applications of these mathematical structures in solving singular tensor equations, which have implications in computational science, engineering, and data analysis. He is especially interested in extending classical linear algebra concepts to high-dimensional and structured data systems through operations such as the Einstein product. This interest aligns with current trends in applied mathematics that explore tensor analysis and multilinear algebra. His research is both mathematically rigorous and computationally relevant, indicating a commitment to bridging theory with practical applications. Dr. Kheirandish’s ongoing collaborations with established researchers suggest that he is contributing to the advancement of specialized topics in linear algebra. While his current research is highly focused, there is potential for expansion into interdisciplinary domains such as machine learning, scientific computing, and applied physics, where tensor-based methods are increasingly relevant.

Research Skills

Dr. Ehsan Kheirandish possesses a strong set of research skills rooted in theoretical mathematics and numerical computation. His expertise in numerical linear algebra is evident in his published work on generalized inverses, tensor algebra, and matrix decomposition techniques. He demonstrates proficiency in analytical problem-solving, mathematical modeling, and symbolic computation, which are essential for his research topics. His work with the Einstein product and singular tensor equations indicates advanced capabilities in high-dimensional algebraic computations. Furthermore, his publication record suggests competence in using mathematical software tools, possibly including MATLAB, Mathematica, or Python-based numerical libraries, although specific tools are not explicitly listed in his CV. Dr. Kheirandish also shows skill in academic writing and collaboration, having co-authored several articles in peer-reviewed journals. His presentations at national mathematics seminars and conferences demonstrate his ability to communicate complex mathematical ideas to academic audiences. Through his teaching assistant roles, he has further honed his skills in mentoring, instructional design, and conveying abstract concepts effectively. As an emerging researcher, Dr. Kheirandish combines a solid theoretical foundation with practical research techniques, positioning himself well for continued contributions to computational mathematics and applied analysis.

Awards and Honors

While the CV does not mention specific awards or honors formally received by Dr. Ehsan Kheirandish, his research output and academic activities reflect a level of merit and recognition within his field. He has published in respected journals such as the Journal of Computational and Applied Mathematics and Computational and Applied Mathematics, which indicates peer validation of his work. Additionally, his selection as a speaker at the 53rd Annual Iranian Mathematics Conference and the 11th Seminar on Linear Algebra and its Applications suggests recognition from the national academic community. These presentations provide important platforms for early-career researchers to showcase their work and receive feedback from experts, and his participation implies a growing reputation in specialized mathematics circles. While formal honors such as research fellowships, international grants, or best paper awards are not currently listed, Dr. Kheirandish’s academic path and publication record reveal a trajectory of scholarly achievement. With continued focus on expanding the visibility and impact of his research, he is well-positioned to receive future awards and distinctions in the field of applied and computational mathematics.

Conclusion

Dr. Ehsan Kheirandish is a highly capable and focused early-career researcher in applied mathematics, demonstrating commendable depth in numerical linear algebra and matrix theory. His doctoral research, combined with a consistent publication record and academic engagement, reflects a clear and structured approach to advancing knowledge in his chosen domain. Through teaching, assisting in core mathematical subjects, and publishing collaborative research, he has established himself as a promising academic in the Iranian mathematical community. Although his international exposure and interdisciplinary reach are currently limited, his strong foundational skills and specialized focus provide a solid platform for future growth. To further enhance his research profile, engaging in international collaborations, securing competitive funding, and exploring real-world applications of his mathematical work would be beneficial. Overall, Dr. Kheirandish exemplifies the qualities of a dedicated and methodical researcher with strong potential for academic leadership. His contributions thus far position him as a worthy candidate for recognitions such as the Best Researcher Award, especially in categories that value depth, consistency, and clarity of research focus.

Publications Top Notes

  • Title: Further characterizations of W-weighted core-EP matrices
    Authors: A. Salemi and Q. Wang
    Year: 2025
    Journal: Journal of Computational and Applied Mathematics

  • Title: Properties of core-EP matrices and binary relationships
    Authors: A. Salemi and N. Thome
    Year: 2024
    Journal: Computational and Applied Mathematics

  • Title: Generalized bilateral inverses of tensors via Einstein product with applications to singular tensor equations
    Authors: A. Salemi
    Year: 2023
    Journal: Computational and Applied Mathematics

  • Title: Generalized bilateral inverses
    Authors: A. Salemi
    Year: 2023
    Journal: Journal of Computational and Applied Mathematics