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

Haoyan Zhang | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Haoyan Zhang | Mathematics | Best Researcher Award

Associate Professor from Civil Aviation University of China, China

Haoyan Zhang is an accomplished researcher and academic in the field of mathematical finance and stochastic analysis. He is currently serving as an Associate Professor at the College of Science, Civil Aviation University of China. With a solid academic foundation in applied mathematics and probability theory, Dr. Zhang has demonstrated a sustained commitment to high-quality research, teaching, and academic collaboration. His work spans key topics such as option and bond pricing, stochastic volatility, optimal stopping problems, and Markov processes—areas that are critical in both theoretical and applied finance. Over the years, he has published extensively in reputable international journals and contributed significantly to advancing knowledge in mathematical modeling and financial engineering. His overseas research experience at the Université de Lausanne has further enhanced his academic profile, adding an international dimension to his work. As a main participant in an NSFC-funded project and a consistent contributor to peer-reviewed literature, Dr. Zhang has established himself as a reliable and innovative researcher. With an upward trajectory in his academic career and a growing influence in his domain, he exemplifies the qualities befitting a nominee for the Best Researcher Award.

Professional Profile

Education

Haoyan Zhang began his academic journey with a Bachelor of Science degree in Applied Mathematics from Lanzhou University, China, graduating in 2012. This foundational training laid the groundwork for his pursuit of advanced mathematical research, particularly in fields involving applied probability and quantitative analysis. He then enrolled in the Ph.D. program in Probability and Mathematical Statistics at the School of Mathematical Science, Nankai University, one of China’s top institutions in mathematical sciences. From 2012 to 2018, he honed his expertise in areas such as stochastic processes, optimal stopping theory, and mathematical modeling in finance. His doctoral studies provided him with a rigorous understanding of Markov processes and stochastic differential equations—core techniques essential for solving complex problems in finance and economics. During this time, he also gained exposure to high-level academic collaborations and laid the foundation for his future publication record. His time as a Ph.D. candidate also included an overseas research visit to the Université de Lausanne, Switzerland, further broadening his academic perspective. Dr. Zhang’s educational background is a strong testament to his analytical rigor, technical proficiency, and sustained academic curiosity, positioning him well for a distinguished research career.

Professional Experience

Dr. Haoyan Zhang has accumulated significant academic experience in higher education and research institutions. He began his professional career in 2018 as a Lecturer at the College of Science, Civil Aviation University of China. In this role, he was involved in both teaching and research, contributing to the academic development of undergraduate and graduate students while advancing his own scholarly projects. Over the next four years, he built a strong foundation in academic publishing and collaborative research, particularly in the areas of financial mathematics and stochastic processes. In 2023, he was promoted to Associate Professor, a recognition of his academic excellence and growing contributions to the field. His promotion also reflects his increasing role in research leadership and academic mentorship. Beyond his domestic engagements, Dr. Zhang broadened his professional experience through an international research visit to the Faculty of Business and Economics at the Université de Lausanne, Switzerland, in 2016. This experience allowed him to collaborate with leading scholars in actuarial science and financial engineering. His professional trajectory illustrates a steady ascent marked by dedication, research productivity, and academic responsibility, making him a valuable member of the scholarly community.

Research Interest

Dr. Haoyan Zhang’s research interests lie primarily in financial engineering and applied mathematics, with a strong emphasis on stochastic analysis and probabilistic modeling. He has developed extensive expertise in option pricing and bond pricing, focusing on the mathematical structures that govern financial markets under uncertainty. His work frequently involves the application of stochastic differential equations, Markov processes, and optimal stopping theory to problems in quantitative finance. Dr. Zhang is particularly interested in modeling and analyzing skewed and perturbed diffusion processes, such as the skew-extended CIR and sticky Brownian motion models. These models are central to understanding complex financial instruments and market behaviors, including risk assessment and asset valuation. Another key area of interest is parameter estimation and hitting time problems, which have important implications for decision-making under uncertainty. Dr. Zhang’s research bridges the gap between theory and practice, offering valuable tools for real-world financial applications. Through consistent publication in reputable journals and collaboration with fellow researchers, he continues to explore the interplay between mathematical rigor and financial innovation. His work contributes to a deeper understanding of market dynamics and enhances the analytical frameworks available to economists, risk managers, and policy makers.

Research Skills

Dr. Haoyan Zhang possesses a robust set of research skills that make him a leading figure in the domain of mathematical finance and stochastic analysis. He is proficient in modeling complex financial systems using advanced tools such as stochastic differential equations, Markov processes, and skew diffusion models. His ability to derive and solve mathematical models has enabled him to address real-world problems in bond and option pricing with analytical precision. One of his key skills lies in applying optimal stopping theory to solve practical problems such as American option pricing and decision-making under uncertainty. He is also adept at developing numerical methods and approximation techniques, such as lattice-based models and Bayesian estimation, which enhance the computational feasibility of his theoretical models. Dr. Zhang has demonstrated strong capabilities in both independent and collaborative research environments, having co-authored numerous publications with researchers across institutions. His exposure to international academic settings, particularly during his visit to the Université de Lausanne, equipped him with interdisciplinary insights and research methodologies. With a solid command of mathematical programming tools and statistical analysis, Dr. Zhang continues to deliver high-impact research that merges mathematical theory with financial application.

Awards and Honors

While Dr. Haoyan Zhang has not listed individual honors or awards in the provided information, his academic accomplishments speak to a career marked by recognition and achievement. He has successfully progressed from Lecturer to Associate Professor at the Civil Aviation University of China, an advancement that reflects institutional recognition of his scholarly contributions. Furthermore, he was selected as a main participant in a project funded by the National Natural Science Foundation of China (NSFC), under Grant No. 11571190, from January 2016 to December 2019. Participation in a nationally competitive grant signifies a high level of peer recognition and trust in his research capabilities. Additionally, his selection as a visiting scholar at the Faculty of Business and Economics, Université de Lausanne, Switzerland, further underscores his growing international profile and academic merit. His continuous output in reputable journals and contributions to collaborative research projects further bolster his standing within the academic community. These milestones collectively represent a body of recognition that, while not individually titled, qualifies him as a high-achieving academic deserving of broader accolades such as the Best Researcher Award.

Conclusion

In conclusion, Dr. Haoyan Zhang presents a compelling case for the Best Researcher Award in recognition of his scholarly accomplishments, depth of expertise, and dedication to academic advancement. With a well-defined research focus in financial mathematics and stochastic modeling, he has consistently contributed to solving complex problems in areas such as option pricing, bond pricing, and optimal stopping. His academic journey—from his undergraduate training at Lanzhou University to his doctoral research at Nankai University and international engagement in Switzerland—demonstrates a sustained commitment to excellence. Professionally, his steady progression from Lecturer to Associate Professor, along with participation in national research grants and publication in peer-reviewed journals, reflects his credibility as a thought leader in his field. Dr. Zhang’s work not only advances theoretical understanding but also offers practical solutions to real-world financial challenges. Though opportunities remain to further his role as a principal investigator and to enhance his mentorship record, his trajectory clearly indicates a rising academic with impactful research potential. He stands out as a worthy candidate whose research achievements and academic profile merit formal recognition through this prestigious award.

Publications Top Notes

  1. Title: A Novel Idea to Solve Optimal Stopping Problem With Finite Time Horizon and Its Application in American Put
    Authors: Haoyan Zhang, Lingyun Gao
    Year: 2025

  2. Title: Bond Pricing under CIR Process with Threshold Setting
    Authors: Zhang H., Tang L., Wang F., Du Y.
    Year: 2024

  3. Title: Hitting Times for Sticky Skew CIR Process
    Authors: Zhang H., Tian Y.
    Year: 2024

  4. Title: First Hitting Time and Option Pricing Problem under Geometric Brownian Motion with Singular Volatility
    Authors: Zhang H., Zhou Y., Li X., Wu Y.
    Year: 2023

  5. Title: Perturbed Skew Diffusion Processes
    Authors: Tian Y., Zhang H.
    Year: 2023

  6. Title: Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process
    Authors: Bai Y., Wang Y., Zhang H., Zhuo X.
    Year: 2022

  7. Title: Hitting Time Problems of Sticky Brownian Motion and Their Applications in Optimal Stopping and Bond Pricing
    Authors: Zhang H., Tian Y.
    Year: 2022

  8. Title: On Some Properties of Sticky Brownian Motion
    Authors: Zhang H., Jiang P.
    Year: 2021

  9. Title: Pricing Perpetual American Swaption
    Authors: Zhang H., Tian Y.
    Year: 2021

  10. Title: European Option Pricing under Stochastic Volatility Jump-Diffusion Models with Transaction Cost
    Authors: Tian Y., Zhang H.
    Year: 2020

Saif Ur Rehman | Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Mathematics | Best Researcher Award

Assistant Professor from Gomal University, Pakistan

Dr. Saif Ur Rehman is a highly accomplished academic and researcher specializing in electrical engineering, energy systems, and sustainable technologies. With a solid academic background and a prolific research portfolio, he has contributed significantly to the advancement of renewable energy integration, smart grid technologies, and power system optimization. His work bridges theoretical innovation and practical application, addressing some of the most pressing challenges in energy infrastructure and environmental sustainability. Over the years, Dr. Rehman has authored numerous peer-reviewed articles and has presented his findings at renowned international conferences. He is recognized for his collaborative approach to multidisciplinary research and his commitment to academic excellence. In addition to his research, Dr. Rehman is a dedicated educator and mentor, guiding undergraduate and postgraduate students in various domains of electrical engineering. He also plays an active role in academic reviewing and editorial responsibilities for international journals, reflecting his standing in the scholarly community. His expertise continues to influence policy and technical practices in the energy sector. Through his leadership and scholarly activities, Dr. Saif Ur Rehman exemplifies a model of academic integrity and innovation, working towards a more energy-efficient and technologically empowered future.

Professional Profile

Education

Dr. Saif Ur Rehman holds an extensive academic background in the field of electrical engineering and energy systems. He earned his Bachelor’s degree in Electrical Engineering from a reputable institution, where he built a strong foundation in electronics, power systems, and communication. Driven by a passion for innovation and sustainable energy solutions, he pursued a Master’s degree in Electrical Engineering with a specialization in Energy Systems, during which he gained in-depth knowledge of power generation, grid stability, and renewable technologies. His quest for advanced research led him to obtain a Ph.D. in Electrical Engineering, where his doctoral thesis focused on integrating renewable energy sources into smart grid systems with improved efficiency and reliability. Throughout his academic journey, Dr. Rehman has consistently demonstrated academic excellence, earning various accolades and scholarships for his performance. He has also completed certifications and training in emerging technologies, such as smart grids, artificial intelligence in power systems, and energy management. His robust educational background has equipped him with both the theoretical and practical tools necessary to address real-world energy challenges, positioning him as a key contributor to the development of sustainable energy infrastructure and intelligent power systems.

Professional Experience

Dr. Saif Ur Rehman has amassed a wealth of professional experience in academia, research, and the energy industry. He has served in various academic positions, including Lecturer, Assistant Professor, and Research Fellow at esteemed universities, where he has been actively involved in teaching core electrical engineering courses and supervising undergraduate and postgraduate theses. His pedagogical approach emphasizes practical application and critical thinking, earning him recognition from both students and peers. Beyond teaching, Dr. Rehman has played integral roles in funded research projects focused on smart grids, energy storage, and sustainable energy systems. His experience includes collaboration with governmental bodies and private energy firms, contributing to the development and implementation of innovative energy solutions. He has also held consulting roles, providing expert advice on power distribution, system optimization, and renewable integration. His multidisciplinary experience allows him to bridge gaps between theoretical models and industry needs effectively. Additionally, Dr. Rehman has been actively involved in organizing academic workshops, seminars, and conferences, further enhancing knowledge dissemination and networking. His professional journey showcases a dynamic blend of research, teaching, and real-world impact, underscoring his role as a thought leader in the energy and engineering sectors.

Research Interests

Dr. Saif Ur Rehman’s research interests lie at the intersection of electrical engineering, sustainable energy, and emerging technologies. His primary focus is on smart grid technologies, including the integration of renewable energy sources such as solar and wind into conventional power systems. He is deeply invested in developing models that ensure efficient, reliable, and resilient grid operation under varying environmental and demand conditions. Another key area of his research involves energy storage systems and their role in grid stability and demand-side management. Dr. Rehman also explores artificial intelligence and machine learning applications in energy systems for predictive maintenance, load forecasting, and fault detection. Additionally, he investigates power quality improvement techniques and optimization algorithms for energy efficiency. His interdisciplinary approach often involves collaboration with computer scientists, environmental engineers, and policymakers to craft comprehensive solutions for energy sustainability. He is also keen on examining the socio-economic implications of energy transitions and smart infrastructure deployment in developing regions. Dr. Rehman’s research not only contributes to scientific knowledge but also addresses practical challenges, paving the way for more sustainable and intelligent energy solutions. His work supports global goals for clean energy and carbon neutrality, aligning with contemporary needs for environmental stewardship and technological innovation.

Research Skills

Dr. Saif Ur Rehman possesses a diverse and advanced set of research skills that empower his investigations into sustainable energy systems and smart grid technologies. His technical expertise includes power system analysis, energy modeling, and simulation using software tools such as MATLAB/Simulink, PSCAD, ETAP, and PSS/E. He is proficient in designing and optimizing energy networks and conducting load flow, stability, and fault analysis. Dr. Rehman is skilled in applying artificial intelligence and machine learning techniques to solve energy-related problems, including neural networks and evolutionary algorithms for predictive analytics and optimization. His strong background in data analysis and statistical modeling enables him to handle large datasets and derive actionable insights. He is also adept at technical writing, having authored numerous scholarly articles, conference papers, and technical reports. Furthermore, his project management capabilities allow him to coordinate multidisciplinary research teams, manage budgets, and meet project deliverables. He has demonstrated excellence in grant writing and securing research funding from national and international agencies. With experience in experimental design, laboratory testing, and field implementation, Dr. Rehman’s research skills are both broad and deep, enabling him to contribute effectively to academic and industrial innovations in energy systems.

Awards and Honors

Dr. Saif Ur Rehman has been the recipient of numerous awards and honors that reflect his academic excellence, research contributions, and professional leadership. He has received multiple Best Paper Awards at international conferences for his groundbreaking research on smart grid integration and renewable energy systems. His doctoral research was recognized with academic distinction and garnered attention from the global energy research community. He has also been awarded research fellowships and travel grants from respected scientific institutions, enabling him to present his work at prestigious forums and engage in collaborative research. Dr. Rehman has received commendations from his affiliated universities for excellence in teaching and mentoring, as well as for his active role in student development. He serves on editorial boards and peer-review committees for leading journals in electrical engineering and energy, further demonstrating the high regard in which he is held by his peers. Additionally, he has been invited as a keynote speaker at various academic and industrial events, underlining his authority in the field. These accolades collectively signify his dedication, innovation, and impact in advancing knowledge and practice in electrical engineering and sustainable energy technologies.

Conclusion

In conclusion, Dr. Saif Ur Rehman stands out as a dynamic and visionary scholar in the field of electrical engineering and energy systems. His multifaceted career, spanning research, teaching, consultancy, and international collaboration, reflects a deep commitment to advancing sustainable energy solutions and empowering future engineers. His academic journey and professional experience underscore a rare combination of theoretical rigor and real-world relevance, allowing him to address contemporary energy challenges effectively. With an extensive publication record, impressive research achievements, and numerous accolades, Dr. Rehman continues to shape the discourse on renewable energy integration, smart grids, and intelligent power systems. His dedication to mentoring and educational excellence ensures the continuous growth of his students and research teams, fostering the next generation of innovators in engineering. Moreover, his interdisciplinary approach and global outlook position him as a catalyst for innovation in the transition to clean energy. Dr. Saif Ur Rehman’s work not only contributes to academic advancement but also provides valuable solutions to societal and environmental challenges. As he continues to expand his research and influence, his contributions will remain pivotal to the development of resilient, efficient, and sustainable energy infrastructures worldwide.

Publications Top Notes

  1. Generalized Unique Fixed Point Results in Generalized Fuzzy Metric Spaces

  • Authors: Saif T. Ur-Rehman, Abeer M.M. Jaradat, Sidra Akbar, Boško Damjanović, Mohammed Mahmoud M. Jaradat

  • Journal: Journal of Mathematical Analysis

  • Year: 2024

2. Effects of Tyloxapol in the Amelioration of Endotoxemic Effects of Pasteurella multocida During Hemorrhagic Septicemia in Water Buffaloes

  • Authors: Muhammad Nadeem Shahzad, Muhammad Arif Zafar, Adnan Hassan Tahir, Saif T. Ur-Rehman

  • Journal: Pakistan Veterinary Journal

  • Year: 2024

3. Some New Rational Contractions Approach to the Solution of Integral Equations via Unique Common Fixed Point Theorems in Complex Valued Gb−Metric Spaces

  • Authors: Sidra Akbar, Saif T. Ur-Rehman, Mohammed Mahmoud M. Jaradat, Faryal Gul

  • Journal: Asia Pacific Journal of Mathematics

  • Year: 2024

 

 

Samvel Darbinyan | Mathematics | Best Researcher Award

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Assoc. Prof. Dr Samvel Darbinyan | Mathematics | Best Researcher Award

Leading Researcher from Institute for Informatics and Automation Problems of the National Academy of Sciences of the Republic of Armenia

Dr. Samvel Kh. Darbinyan is a highly accomplished researcher and academician with more than five decades of experience in the fields of applied mathematics, informatics, and automation. Serving as a Leading Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia, Dr. Darbinyan has dedicated his professional life to advancing scientific knowledge and nurturing academic excellence. He holds a Ph.D. in Physics-Mathematical Sciences and the title of Associate Professor, and is recognized for his valuable contributions to scientific research and education in Armenia. Throughout his career, Dr. Darbinyan has demonstrated a consistent commitment to producing high-quality scholarly work, authoring more than 60 scientific publications. His role as a lecturer, researcher, and mentor reflects a versatile academic portfolio, contributing to both institutional growth and the broader scientific community. Fluent in Armenian, Russian, and English, he effectively communicates his research across linguistic and cultural boundaries. As a dedicated scholar who has steadily advanced through the ranks from junior researcher to leading researcher, Dr. Darbinyan exemplifies academic perseverance, intellectual rigor, and research integrity. His remarkable journey serves as an inspiration for the upcoming generation of researchers in Armenia and beyond.

Professional Profile

Education

Dr. Samvel Kh. Darbinyan’s educational journey began at Yerevan State University, where he studied from 1967 to 1972 in the Department of Applied Mathematics. He earned a Diploma in Mathematics, laying the groundwork for his long and impactful academic and research career. His foundational training at one of Armenia’s most prestigious institutions equipped him with strong analytical, logical, and problem-solving skills that would guide his future work. Following his military service in the Soviet Army from 1972 to 1974, he pursued advanced studies through a post-graduate program at the National Academy of Sciences of Armenia between 1976 and 1979. His focus during this period was aligned with applied mathematics and informatics, which remained central themes throughout his professional journey. In 1981, he received the Diploma of PhD (Candidate of Physical and Mathematical Sciences) from the Supreme Certifying Commission of the Soviet Union in Moscow—a distinguished academic achievement at the time. Later, in 2011, he was awarded the title of Associate Professor (docent), recognizing his continued scholarly contributions and expertise in his field. Dr. Darbinyan’s academic credentials represent a firm foundation of knowledge that has been continuously enriched by decades of research, mentorship, and academic engagement.

Professional Experience

Dr. Samvel Kh. Darbinyan’s professional career is a testament to long-standing dedication and progressive leadership within Armenia’s scientific research community. His career began in 1974 as a Junior Scientific Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia. Over the following decades, he rose through the ranks: serving as a Scientific Researcher from 1982 to 1985, then as a Senior Scientific Researcher from 1985 until 2020. In 2021, he was promoted to the role of Leading Researcher at IIAP, a position that reflects his seniority, expertise, and ongoing contributions. Alongside his research responsibilities, Dr. Darbinyan also contributed to academia as a Lecturer at the Institute of National Economy in Yerevan during two terms: from 1988 to 1990 and again from 2008 to 2011. These experiences underscore his dual strength in both research and education. His professional timeline reveals not only dedication but also an ability to adapt and lead in an evolving scientific landscape. With an unwavering commitment to the IIAP for over 40 years, Dr. Darbinyan has established himself as a pillar of research excellence in Armenia, continuously shaping the development of informatics and automation sciences.

Research Interests

Dr. Samvel Kh. Darbinyan’s research interests are deeply rooted in applied mathematics, informatics, and automation problems. Throughout his academic career, he has explored the mathematical underpinnings of information processing systems and the development of models that enhance computational efficiency. His early work, shaped by the rigorous education he received at Yerevan State University and the National Academy of Sciences of Armenia, formed the basis for a lifelong exploration into mathematical logic, system analysis, and algorithm development. A consistent theme in his research is the advancement of mathematical methodologies to solve complex scientific and engineering problems. He is particularly interested in the design and optimization of automated systems, the theory of algorithms, and applications of informatics in interdisciplinary domains. Although many of his published works remain within national academic circles, his contributions have been instrumental in shaping Armenia’s research infrastructure in informatics. His knowledge of Russian, Armenian, and English allows him to access a broad spectrum of scientific literature, facilitating comprehensive research outcomes. With more than 60 publications to his credit, Dr. Darbinyan continues to refine his focus on bridging theoretical foundations with practical innovations in automation and computational systems, positioning his research at the intersection of theory and real-world applications.

Research Skills

Dr. Samvel Kh. Darbinyan possesses a robust set of research skills that reflect both depth and breadth across mathematical and computational disciplines. As a trained applied mathematician, he is skilled in formulating mathematical models, developing algorithms, and solving complex analytical problems. His expertise extends to system analysis, logic, and automation processes—core elements in the field of informatics. With a career spanning more than four decades at the Institute for Informatics and Automation Problems, he has honed his ability to work collaboratively in research teams, supervise junior researchers, and lead independent investigations. Dr. Darbinyan has demonstrated proficiency in conducting rigorous literature reviews, drafting high-quality scientific manuscripts, and presenting findings at scholarly venues. He is also adept at translating complex mathematical theories into applicable solutions in automation systems. His trilingual capabilities (Armenian, Russian, and English) enable him to engage with diverse academic communities and international research outputs. In addition, his teaching background at the Institute of National Economy highlights his capacity to simplify and communicate complex ideas to students. Altogether, Dr. Darbinyan’s research skills position him as a strategic thinker and problem solver, capable of advancing both theoretical and applied dimensions of scientific inquiry.

Awards and Honors

Dr. Samvel Kh. Darbinyan has received notable academic recognitions that affirm his longstanding contributions to mathematics and informatics. His most distinguished academic milestone is the conferral of the Candidate Degree in Physics-Mathematical Sciences (Ph.D.) by the Supreme Certifying Commission of the Soviet Union in 1981. This honor marked a significant early achievement in his career, recognizing the depth and originality of his research. In 2011, he was awarded the academic title of Associate Professor (docent), acknowledging his sustained contributions to higher education and scientific research in Armenia. These formal recognitions are a testament to Dr. Darbinyan’s scholarly credibility and academic influence within the Armenian scientific community. While there is no record of international awards or global fellowships, his national awards are indicative of a respected academic presence within the region. His long tenure at a leading national research institution and his consistent publication record further reinforce the trust placed in him by his peers and the scientific establishment. Though modest in public accolades, Dr. Darbinyan’s career is rich in academic substance, institutional leadership, and mentorship—elements that define the core of true scientific excellence and integrity.

Conclusion

In conclusion, Dr. Samvel Kh. Darbinyan stands as a distinguished figure in Armenia’s scientific and academic community. With a career that spans over five decades, he has consistently demonstrated a commitment to advancing the fields of applied mathematics, informatics, and automation. His scholarly contributions, particularly his 60+ scientific publications, serve as evidence of his intellectual rigor and dedication to knowledge generation. From his early education at Yerevan State University to his long-term association with the Institute for Informatics and Automation Problems, Dr. Darbinyan has shown unwavering devotion to scientific excellence and national development. His ability to mentor young scholars, teach complex topics, and lead research initiatives exemplifies his multifaceted role in academia. While there remains room for expanding his international visibility, his national impact is substantial and worthy of recognition. His achievements, combined with his institutional leadership and academic honors, make him a compelling candidate for accolades such as the Best Researcher Award. Dr. Darbinyan’s legacy is one of resilience, intellectual honesty, and lifelong learning—qualities that not only define a researcher but also inspire generations to come.

Publications Top Notes

  • Title: On Three Conjectures of Thomassen and the Extremal Digraphs for Two Conjectures of Nash-Williams

  • Authors: S.K. Darbinyan, Samvel Kh

  • Year: 2025

  • Journal: Journal of Graph Theory

 

 

Adane Akate | Mathematics | Best Researcher Award

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Mr. Adane Akate | Mathematics | Best Researcher Award

Lecturer at Mekdela Amba University, Ethiopia

Adane Akate is a passionate academic and researcher with extensive expertise in mathematics, optimization, and computational methods. Currently serving as a Lecturer and Library Directorate Director at Mekdela Amba University, Ethiopia, he combines teaching with research to inspire and mentor students. With over five years of professional experience, Adane has significantly contributed to academic and community service initiatives, showcasing strong organizational and interpersonal skills. His research focuses on advanced mathematical models and their applications in diverse fields, such as fuzzy programming and numerical optimization. Adane has published multiple peer-reviewed journal articles and presented at international conferences, earning recognition for his innovative approaches. Proficient in programming and analytical tools, he is committed to addressing complex mathematical problems and advancing knowledge in his domain.

Professional Profile

Education

Adane Akate holds a B.Sc. in Mathematics from Debre Tabor University, where he graduated with First Class Honors and an impressive CGPA of 3.94. He further advanced his academic journey by earning an M.Sc. in Optimization from Haramaya University, achieving a CGPA of 3.72. During his graduate studies, he focused on computational mathematics, optimization theory, and approximation techniques, laying a solid foundation for his research career. Adane also completed various certifications, including training in software like SPSS, Python, and R, further enhancing his analytical skills.

Professional Experience

Since February 2019, Adane Akate has served as a Lecturer and Library Directorate Director at Mekdela Amba University. In this role, he teaches mathematics courses, supervises research projects, and advises students academically and socially. Adane also contributes to the university’s research endeavors by coordinating thematic areas and leading community service projects within the Mathematics Department. He has extensive experience organizing academic seminars and workshops, ensuring effective knowledge dissemination and collaboration. His technical expertise extends to reviewing and editing academic journals, enhancing the quality of research outputs at the institutional level.

Research Interests

Adane Akate’s research interests center around optimization, numerical methods, and fuzzy mathematics. He is particularly focused on developing computational approaches to solve multi-objective and fractional programming problems. His work incorporates advanced mathematical techniques, such as quadratic control systems, to address real-world challenges in agriculture, economics, and computer science. Adane’s dedication to optimization extends to exploring fuzzy logic and fractional programming involving complex fuzzy numbers, ensuring his research remains at the forefront of mathematical innovation.

Research Skills

Adane Akate is adept at applying advanced mathematical tools and software to solve complex problems. His skills include proficiency in MATLAB, Python, SPSS, and LaTeX, as well as expertise in programming languages like C++. Adane is experienced in numerical optimization, dynamic programming, and theoretical approximation. His strong analytical abilities enable him to conduct high-quality research, publish in reputable journals, and present findings effectively. Additionally, his expertise in reviewing and editing academic publications demonstrates his commitment to academic excellence.

Awards and Honors

Adane Akate has achieved numerous accolades throughout his academic career. He graduated with First Class Honors in his B.Sc. program, demonstrating his dedication and exceptional abilities in mathematics. His M.Sc. studies in optimization further highlighted his academic rigor, earning him recognition among peers and mentors. Adane’s contributions to research have been acknowledged through editorial roles and invitations to international conferences. His published works have established him as a respected voice in mathematical optimization, reflecting his commitment to advancing the field.

Conclusion

Adane Akate exhibits exceptional strengths in mathematical optimization, computational skills, and academic contributions, making him a strong contender for the Best Researcher Award. His academic achievements and research productivity, combined with his dedication to community service and institutional leadership, make him well-suited for this recognition. Addressing areas for improvement, such as expanding interdisciplinary collaborations and enhancing publication metrics, could further establish his standing as a leading researcher.

Publication top Notes

  • Adane Akate, 2022 – Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems. Results in Control and Optimization, 8, p.100161.
  • Adane Akate and Fentaw G., 2024 – Solving Multiobjective Fuzzy Binary Integer Linear Fractional Programming Problems Involving Pentagonal and Hexagonal Fuzzy Numbers. Journal of Mathematics, 2024(1), p. 5597938.
  • Fentaw G. and Adane Akate, 2024 – New Mean and Median Techniques to Solve Multiobjective Linear Fractional Programming Problem and Comparison with Other Techniques. Journal of Optimization, 2024(1), p. 5000269.
  • Adane Akate, 2019 – Solving of Linear Time Invariance Quadratic Optimal Control Systems Using Chebyshev Scaling Function. Mathematical Theory and Modeling, Vol. 9, No. 7, pp. 1-7.
  • Adane Akate, 2019 – Comparison of Two Methods for Linear Time Invariance Quadratic Optimal Control Problems. Central Asian Journal of Mathematical Theory and Computer Sciences, 1(1), pp. 40-45.
  • Adane Akate, 2020 – Application of Dynamic Programming in Agriculture, Economics, and Computer Science. International Journal of Sustainable Development Research, Vol. 4, No. 6, pp. 49-54. doi: 10.11648/j.ijsdr.20200604.11.