Tag: International 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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Citations
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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.

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

 

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

Ankur Singh | Mathematics | Young Scientist Award

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Dr. Ankur Singh | Mathematics | Young Scientist Award

Assistant Professor from PDEU Gandhinagar, India

Dr. Ankur Singh is an accomplished Assistant Professor (Grade-I) in the Department of Mathematics at Pandit Deendayal Energy University, India. With a Ph.D. in Mathematics from the Indian Institute of Technology (ISM) Dhanbad, he specializes in Algebraic Coding Theory and Number Theory. His research primarily focuses on self-dual codes, quantum codes, and the intricate relationship between lattices and modular forms. Dr. Singh has a robust academic and research background complemented by hands-on experience in teaching undergraduate and postgraduate courses. He has supervised Ph.D. students and actively contributes to organizing academic workshops and conferences. His publications appear in reputable journals covering topics like self-dual codes over finite rings, Jacobi forms, and theta series. Dr. Singh has received funding for research projects, including a significant grant on quantum error-correcting codes from the National Board for Higher Mathematics (NBHM), Government of India. He is a life member of prominent mathematical societies and proficient in using advanced mathematical tools like Mathematica, Sage, and Magma. His work bridges theoretical mathematics with practical applications in coding and cryptography, marking him as a promising candidate for recognition as a young scientist.

Professional Profile

Education

Dr. Ankur Singh completed his Ph.D. in Pure Mathematics at the Indian Institute of Technology (ISM), Dhanbad, in 2020, earning a CGPA of 8.00. His doctoral research focused on codes over finite commutative local rings, lattices induced from codes, theta series, and modular forms. Prior to his Ph.D., he completed his Master of Science in Mathematics at the Indian Institute of Technology Madras in 2013, securing a CGPA of 7.53. His M.Sc. work included complex analysis under the supervision of Prof. M.T. Nair. Dr. Singh holds a Bachelor of Science degree in Mathematics, Physics, and Chemistry from Ewing Christian College, Allahabad (University of Allahabad), completed in 2010 with a commendable 67.67%. His foundational education includes completion of high school studies with strong academic performance in the state of Uttar Pradesh, India. Throughout his academic journey, Dr. Singh has consistently qualified competitive examinations such as GATE and JAM in Mathematics, showcasing his strong mathematical aptitude and theoretical knowledge.

Professional Experience

Dr. Singh currently serves as an Assistant Professor (Grade-I) at Pandit Deendayal Energy University, where he teaches various undergraduate and postgraduate mathematics courses, including Numerical Methods, Linear Algebra, and Discrete Mathematics. Since November 2022, he has been engaged in both teaching and research, mentoring Ph.D. students and coordinating workshops on the applications of mathematics in machine learning. Prior to this, he worked as a faculty member at VIT-AP University from 2019 to 2022, teaching advanced mathematical topics such as Applied Linear Algebra and Differential Equations. During his Ph.D. tenure at IIT (ISM) Dhanbad, Dr. Singh was a Junior and then Senior Research Fellow, where he also served as a teaching assistant, supervising tutorials and laboratory courses. His professional roles have consistently blended teaching, research, and academic leadership, demonstrating his capability to foster knowledge dissemination and contribute to the advancement of mathematical sciences.

Research Interests

Dr. Singh’s research interests lie predominantly in Algebraic Coding Theory and Number Theory. He specializes in the study and construction of self-dual codes, including Type I and Type II codes over finite rings, and their applications in quantum coding and DNA coding. His work extends to the construction of lattices induced from codes and the analysis of their theta series and modular forms such as Jacobi forms and Siegel upper half-plane forms. He also investigates quantum synchronizable codes and explores the relationships between complete weight enumerators and theta series over various number fields. His research integrates deep theoretical mathematics with practical coding applications, particularly in error-correcting codes, cryptography, and quantum information science. This blend of abstract algebra, geometry, and computational tools positions his work at the cutting edge of coding theory and mathematical research.

Research Skills

Dr. Singh is proficient in advanced mathematical software and tools including Mathematica, Sage, and Magma, which he employs for symbolic computations, code construction, and algebraic manipulations. His expertise encompasses coding theory techniques such as generator matrix construction, weight enumerators, and code optimality assessments. He is skilled in analyzing algebraic structures over finite rings and fields and in exploring modular and Jacobi forms within number theory. Additionally, Dr. Singh has experience in supervising mathematical research and guiding Ph.D. candidates, showing strong mentoring and academic leadership abilities. His familiarity with applied mathematics and computational methods allows him to bridge pure mathematics with real-world applications, particularly in cryptography and quantum error correction. This diverse skill set enhances his capability to conduct innovative research and contribute meaningfully to both theoretical and applied mathematical sciences.

Awards and Honors

Dr. Ankur Singh has been the recipient of several prestigious awards and funding grants throughout his career. Notably, he secured a research project grant from the National Board for Higher Mathematics (NBHM), Department of Atomic Energy, India, for the period 2025–2028, focusing on maximum distance separable quantum error-correcting codes. He has also received funding support from the Gujarat DST to organize a workshop on Applications of Mathematics in Machine Learning (AMMLA-2025). His research excellence was recognized early with a Senior Research Fellowship and Junior Research Fellowship at IIT (ISM) Dhanbad. He qualified highly competitive national examinations, including GATE and JAM in Mathematics. Dr. Singh’s memberships include life membership in the Indian Mathematical Society and the Society of Applied Mathematics. His travel grant from NBHM enabled him to participate in international research schools, underscoring his active engagement with the global mathematics community.

Conclusion

Dr. Ankur Singh’s impressive academic background, extensive research contributions, and active involvement in both teaching and organizing scholarly activities mark him as a strong candidate for the Young Scientist Award. His work in algebraic coding theory and number theory is both theoretically profound and practically significant, particularly in emerging fields such as quantum error correction and cryptography. Supported by notable grants and recognized by his peers, Dr. Singh demonstrates the qualities of a promising young researcher with the potential to make impactful advances in mathematics. Continued support and recognition would further empower him to expand his research, foster collaborations, and contribute to the development of innovative mathematical tools and techniques. Overall, Dr. Singh exemplifies the blend of academic excellence, research innovation, and leadership that the Young Scientist Award seeks to honor.

Publication Top Notes

  1. Type I and Type II codes over the ring
    Authors: Ankur, PK Kewat
    Journal: Asian-European Journal of Mathematics, 12(02), Article 1950025
    Year: 2019
    Citations: 2

  2. Self-dual codes over the ring and Jacobi forms
    Author: Ankur
    Journal: Asian-European Journal of Mathematics, 10(03), Article 1750055
    Year: 2017
    Citations: 2

  3. Diagnosis of Parkinson disease patients using Egyptian vulture optimization algorithm
    Authors: A Dixit, A Sharma, A Singh, A Shukla
    Conference: International Conference on Swarm, Evolutionary, and Memetic Computing, pp. 92-103
    Year: 2015
    Citations: 2

  4. Binary self-dual codes and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Applicable Algebra in Engineering, Communication and Computing, 34(3), pp. 377-392
    Year: 2023
    Citations: 1

  5. Type I and Type II codes over the ring
    Author: Ankur
    Journal: Arabian Journal of Mathematics, 9(1), pp. 1-7
    Year: 2020
    Citations: 1

  6. Construction of lattices over the real sub-field of ℚ(ς8) for block fading (wiretap) coding
    Authors: A Singh, P Kumar, A Shukla
    Journal: Discrete Mathematics, Algorithms & Applications, 17(4)
    Year: 2025

  7. A Review: On Special type of Quantum Error Correcting Codes
    Authors: UU Shinde, A Singh
    Journal: Discrete Mathematics, Algorithms and Applications
    Year: 2025

  8. Fuzzy-Based Security Assurance Framework Considering Uncertainty
    Authors: A Shukla, A Singh, B Katt, MM Yamin, S Pirbhulal, H Garg
    Book Chapter: Computational Modeling and Sustainable Energy: Proceedings of ICCMSE 2023, p. 115
    Year: 2025

  9. Theta series and weight enumerator over an imaginary quadratic field
    Authors: Ankur, KP Shum
    Journal: Asian-European Journal of Mathematics, 14(06), Article 2150098
    Year: 2021

  10. Self-dual codes over and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Designs, Codes and Cryptography, 89, pp. 1091-1109
    Year: 2021

  11. Theta series and its relation with the Weight Enumerator
    Author: Ankur
    Journal: ARS COMBINATORIA, 154, pp. 235-244
    Year: 2021

  12. Decomposition of Self-dual Codes Over a Commutative Non-Chain Ring
    Authors: Ankur, PK Kewat
    Journal: Malaysian Journal of Mathematical Sciences, 14(3)
    Year: 2020

  13. Codes over finite commutative local rings and their relation with lattices theta series and Jacobi forms
    Author: Ankur
    Institution: Indian Institute of Technology (ISM) Dhanbad, PhD Thesis
    Year: 2020

  14. SELF-DUAL CODES OVER THE RING F₂^m + uF₂^m + vF₂^m + uvF₂^m
    Author: Ankur
    Journal: Proceedings of the Jangjeon Mathematical Society, 21(4), pp. 617-625
    Year: 2018

 

 

Tegegne Getachew | Mathematics | Best Researcher Award

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Dr. Tegegne Getachew | Mathematics | Best Researcher Award

Director for the directorate of international relations of research and partnerships from Mekdela Amba University, Ethiopia

Dr. Tegegne Getachew is an Assistant Professor at Mekdela Amba University with a strong academic background in applied mathematics, particularly in mathematical physics and nonlinear partial differential equations. His research interests focus on solving complex problems in fluid and plasma dynamics, with a particular emphasis on the persistence of spatial analyticity and nonlinear Schrödinger equations. Dr. Getachew has published extensively in well-regarded academic journals, including Math. Nachr., Analysis and Applications, and International Journal of Mathematics. His research has made significant contributions to understanding mathematical models in fluid dynamics and cryptography. Besides his academic work, Dr. Getachew has demonstrated a commitment to education and mentorship by organizing workshops and teaching both at the university and community levels. As a leader at Mekdela Amba University, he has held administrative roles such as the Director of International Relations and the Registrar, further demonstrating his ability to balance academic research with institutional management. His future prospects in research and education are highly promising, and his continued work is expected to influence both theoretical and practical applications of mathematical sciences.

Professional Profile

Education

Dr. Tegegne Getachew has a robust academic foundation that supports his expertise in mathematical sciences. He is set to complete his Ph.D. in the analysis of partial differential equations from Bahir Dar University in August 2024, a culmination of years of dedication to his field. Prior to this, he earned a Master’s degree in Algebra from the University of Gondar in 2014, building on his early interest in mathematics. His academic journey began with a Bachelor’s degree in Applied Mathematics from Samara University in 2011. Throughout his education, Dr. Getachew has remained committed to advancing his understanding of mathematical concepts, particularly in the areas of fluid dynamics, cryptography, and nonlinear equations. This strong educational background has not only shaped his research but also positioned him as a mentor for future generations of students at Mekdela Amba University and beyond. His academic trajectory is a testament to his passion for mathematics and his dedication to advancing research in applied and computational mathematics.

Professional Experience

Dr. Tegegne Getachew’s professional journey reflects a commitment to both academia and leadership. Starting his career at Wollo University from September 2011 to June 2017, Dr. Getachew contributed to teaching and research in applied mathematics. His transition to Mekdela Amba University in 2017 marked the beginning of several leadership roles that shaped his academic and professional growth. He served as the Director of the Library from November 2017 to August 2021, overseeing the development of resources and services critical to the academic success of students and faculty. In 2024, Dr. Getachew was appointed as the Registrar for the College of Natural and Computational Sciences at Mekdela Amba University, showcasing his capacity for administrative duties. Currently, he holds the position of Director of International Relations, Research, and Partnerships at Mekdela Amba University, fostering academic collaboration and advancing the institution’s global presence. His multifaceted experience reflects a balance of academic dedication and leadership within the university, underlining his ability to manage both scholarly activities and institutional responsibilities effectively.

Research Interests

Dr. Tegegne Getachew’s research interests are deeply rooted in applied analysis, mathematical physics, and nonlinear partial differential equations. His primary focus is on the mathematical models that arise in fluid and plasma dynamics, particularly in the context of spatial analyticity for nonlinear equations. Dr. Getachew has also contributed significantly to cryptography, where he has worked on mathematical approaches to secure data transmission and encryption. Additionally, his research explores applied and computational mathematics, addressing complex issues in theoretical and practical applications. His work on the persistence of spatial analyticity and asymptotic bounds for solutions to equations such as the KdV equation and nonlinear Schrödinger equations has been groundbreaking in understanding the behavior of solutions in fluid dynamics. With numerous published papers and ongoing research, Dr. Getachew’s work continues to provide valuable insights that bridge the gap between abstract mathematical theory and real-world phenomena in science and engineering.

Research Skills

Dr. Tegegne Getachew’s research skills are multifaceted and reflect his expertise in both theoretical and computational mathematics. He is proficient in mathematical tools such as LATEX, MATLAB, and Python, which are crucial for conducting detailed analysis and simulations in applied mathematics. His computational skills enable him to model complex systems, such as fluid dynamics and plasma behavior, using nonlinear partial differential equations. Dr. Getachew’s expertise in cryptography further highlights his ability to use mathematical techniques for practical, real-world applications. He is also skilled in data analysis and interpretation, which aids in understanding and solving complex mathematical models. As a researcher, Dr. Getachew is adept at presenting complex concepts in accessible ways, both through his publications and his roles as a trainer and mentor. His ability to engage with a wide range of mathematical problems and tools positions him as a well-rounded researcher capable of advancing the field of applied mathematics.

Awards and Honors

Dr. Tegegne Getachew has been recognized for his academic contributions and commitment to the field of mathematics. His work has earned him multiple honors, including invitations to present at prestigious conferences such as the African Graduate Students Conferences and webinars hosted by leading academic organizations. His research papers, often published in high-impact journals, are a testament to his contribution to mathematical research. Dr. Getachew has also been involved in various academic service roles, including serving as a reviewer for top-tier journals in applied mathematics and cryptography, such as the Journal of Emerging Technologies and Innovative Research and International Journal of Advanced Research. Additionally, his involvement in organizing and leading conferences further highlights his recognition and leadership within the academic community. Dr. Getachew’s accomplishments reflect a strong track record of excellence and a growing influence in the fields of applied mathematics and mathematical physics.

Conclusion

In conclusion, Dr. Tegegne Getachew is a dedicated and accomplished researcher whose work in applied mathematics and mathematical physics has significantly contributed to advancing the field. His academic and professional journey showcases a deep commitment to both research and education. His leadership roles at Mekdela Amba University reflect his ability to balance academic excellence with administrative responsibilities. With a robust research portfolio, numerous publications in high-impact journals, and active involvement in academic conferences and committees, Dr. Getachew is well-positioned to continue making significant strides in the mathematical sciences. His passion for research, combined with his mentorship and leadership, makes him an excellent candidate for recognition as a leading researcher in his field.

Publication Top Notes

  1. On the radius of spatial analyticity for the quintic fourth-order nonlinear Schrödinger equation on ℝ²

  2. New Lower Bound for the Radius of Analyticity for the Modified 2D Zakharov–Kuznetsov Equation

    • Authors: Tegegne Getachew

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2025-02-21

    • DOI: 10.1002/mma.10823

  3. Asymptotic Lower Bound on the Spatial Analyticity Radius for Solutions of the Periodic Fifth Order KdV–BBM Equation

    • Authors: Tegegne Getachew, Giovanni P. Galdi

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/5781898

  4. New Lower Bounds of Spatial Analyticity Radius for the Kawahara Equation

    • Authors: Tegegne Getachew, Jaume Giné

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/2947966

  5. New asymptotic lower bound for the radius of analyticity of solutions to nonlinear Schrödinger equation

  6. On the persistence of spatial analyticity for generalized KdV equation with higher order dispersion

    • Authors: Tegegne Getachew, Tesfahun, A., Belayneh, B.

    • Journal: Mathematische Nachrichten

    • Year: 2024

    • DOI: 10.1002/mana.202300158

  7. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation

    • Authors: Tegegne Getachew, Belayneh, B., Tesfahun, A.

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2024

    • DOI: 10.1002/mma.10309

  8. Lower bounds of spatial analyticity radius for Benjamin-Bona-Mahony equation on the circle

  9. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation