Alexander Zlotnik | Mathematics | Best Researcher Award

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

 

Ehsan Kheirandish | Mathematics | Best Researcher Award

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

Tegegne Getachew | Mathematics | Best Researcher Award

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

Mohammed Dawed | Mathematics | Life Sciences Innovation Award

Dr. Mohammed Dawed | Mathematics | Life Sciences Innovation Award

Associate Professor from Hawassa University, Ethiopia

Dr. Mohammed Yiha Dawed is an Associate Professor of Applied Mathematics at Hawassa University, Ethiopia, with extensive academic and research experience spanning over three decades. His primary specialization lies in mathematical modeling, with significant contributions in the areas of mathematical ecology, epidemiology, and eco-epidemiology. Dr. Dawed began his career as a high school mathematics teacher before transitioning into academia, where he steadily advanced from a lecturer to an associate professor. With a strong foundation in applied mathematics, he has authored over 19 published articles in reputable journals, participated in numerous national and international conferences, and mentored more than 34 MSc and several PhD students. His scholarly work focuses on real-world problems modeled through differential equations, bifurcation theory, and optimal control analysis. He is also engaged in collaborative projects, invited lectures, and serves as a reviewer for various academic journals. Furthermore, Dr. Dawed is recognized for his leadership, having served as the Head of the Mathematics Department at Hawassa University and contributing to curriculum design and educational development in Ethiopia. His interdisciplinary approach to mathematical modeling underlines his relevance in addressing contemporary issues in public health, ecology, and socio-economic dynamics.

Professional Profile

Education

Dr. Mohammed Yiha Dawed has pursued a well-rounded academic trajectory in mathematics and applied sciences. He earned his Ph.D. in Applied Mathematics from Hawassa University, Ethiopia, in 2017, where his research emphasized mathematical modeling in the context of ecology and epidemiology. Before this, he completed his M.Sc. in Mathematics with a concentration in differential equations from Addis Ababa University in 2005. His foundational degree, a B.Sc. in Mathematics, was also obtained from Addis Ababa University in 1990. Additionally, he received advanced research training in mathematical modeling, numerical analysis, and partial differential equations at the Norwegian University of Science and Technology (NTNU) in Norway during the 2008–2009 academic year, which resulted in an international publication on the Michaelis-Menten equations. Dr. Dawed holds a Higher Diploma License (HDP) awarded in 2013, certifying him as a professional educator. To stay current with pedagogical trends, he has undertaken courses such as the “Master Class for Teaching Online” via Open edX. His academic background showcases a consistent commitment to blending rigorous theoretical training with hands-on modeling and research experience, qualifying him as a versatile and innovative scholar in the applied mathematics discipline.

Professional Experience

Dr. Mohammed Yiha Dawed’s professional journey spans more than 30 years, starting as a mathematics teacher in Ethiopian high schools from 1992 to 2003. In 2005, he joined Hawassa University as a Lecturer in the Department of Mathematics, where he played an instrumental role in both teaching and research. He was later promoted to Associate Professor in 2022, specializing in Applied Mathematics with a focus on Mathematical Ecology, Epidemiology, and Eco-Epidemiology. In addition to his academic teaching roles, Dr. Dawed held administrative responsibilities, serving as the Head of the Mathematics Department at Hawassa University between 2018 and 2022. His contributions include curriculum development, course module design, and editorial work for national mathematics education material. Dr. Dawed has also been involved in multiple invited teaching roles across Ethiopian universities, delivering Ph.D.-level lectures on Mathematical Modeling, Epidemiology, and Simulation. His collaborative academic appointments span institutions such as Adama Science and Technology University, Debre Berhan University, and Bule Hora University. His career reflects a balanced engagement in teaching, research, and academic leadership, making him a central figure in Ethiopia’s higher education mathematics landscape.

Research Interests

Dr. Dawed’s research interests are anchored in the application of mathematical theories to ecological and public health issues. His primary focus areas include Mathematical Ecology, Mathematical Epidemiology, and Mathematical Eco-Epidemiology. He utilizes differential equations and dynamical systems to model interactions between species, disease transmission dynamics, and optimal control mechanisms in environmental and epidemiological settings. His work also extends to the analysis of chemical reactions, media impact on public health outcomes, and socio-economic factors such as poverty and crime through the lens of mathematical modeling. The mathematical frameworks he applies include bifurcation theory, stability analysis, time delays, and functional response functions. His models often incorporate real-world complexities, such as temperature variability and drug resistance in diseases like tuberculosis and hepatitis B. Through these studies, he seeks to provide quantitative insights that can inform public health policy, ecological management, and sustainable development. His multidisciplinary approach allows him to collaborate with researchers from biology, environmental science, and public health, reinforcing the practical relevance of mathematical tools in addressing global challenges. These interests form the basis of his academic contributions and ongoing mentorship of postgraduate research students.

Research Skills

Dr. Mohammed Yiha Dawed possesses a broad and deep set of research skills that enable him to address complex real-world problems using mathematical techniques. His primary expertise lies in developing, analyzing, and simulating mathematical models based on differential equations. He is proficient in qualitative and quantitative modeling techniques, bifurcation analysis, optimal control theory, and stability analysis. His research frequently employs advanced mathematical tools such as general Holling type functional responses, time delays, and temperature-variant parameters to simulate biological and epidemiological systems. Dr. Dawed is adept with scientific computing tools including MATLAB, Mathematica, Maple, and LaTeX, which he uses extensively for simulations, visualizations, and documentation of mathematical models. Additionally, his experience in teaching, supervising, and publishing in peer-reviewed journals further reflects his strong analytical, writing, and mentoring capabilities. He also engages in peer-review activities for scientific conferences and journals, demonstrating his ability to evaluate complex mathematical manuscripts. His research skills are continually enhanced through participation in international workshops, collaborative teaching, and interdisciplinary seminars, reflecting his commitment to academic rigor and innovation in mathematical sciences.

Awards and Honors

While specific awards are not detailed in the available profile, Dr. Mohammed Yiha Dawed has earned notable academic and professional recognition through his appointments, publications, and teaching roles. Achieving the rank of Associate Professor and being consistently invited to lecture in Ph.D. programs at multiple Ethiopian universities highlight the academic community’s regard for his expertise. His role as Head of Department at Hawassa University and responsibilities in national curriculum development also underscore his leadership and educational impact. Participation in international research training at NTNU in Norway and co-authorship with international scholars such as Harald E. Krogstad further signify his integration into the global research community. He has been trusted to supervise over 34 MSc theses and is currently guiding multiple Ph.D. dissertations, showcasing institutional trust in his mentorship. His selection as a peer reviewer for several journals and conferences indicates recognition of his judgment and scholarly standards. While he may not have received named awards, his career accomplishments and professional trust serve as substantial honors within the academic domain.

Conclusion

Dr. Mohammed Yiha Dawed stands as a compelling candidate for the Life Sciences Innovation Award due to his impactful contributions in mathematical modeling applied to ecological and epidemiological problems. His strong academic background, extensive teaching and research experience, and interdisciplinary approach demonstrate the relevance of his work to life sciences innovation. With over 19 published papers, multiple Ph.D. courses taught across universities, and a consistent role in mentoring graduate students, Dr. Dawed has proven his capability to influence the scientific community meaningfully. His models provide insights into disease dynamics, environmental interactions, and socio-economic patterns, supporting real-world policy development. However, areas for improvement include seeking more international collaborations and enhancing visibility through recognized global awards or fellowships. Expanding the reach of his applied models into experimental collaborations or policy advisory roles could further amplify his impact. Overall, his scholarly record, teaching legacy, and applied research approach make him a strong contender for the Life Sciences Innovation Award, particularly in fields intersecting mathematical modeling, public health, and environmental sciences.

Publications Top Notes

  • Title: Mathematical model analysis of malaria transmission dynamics with induced complications

  • Authors: Mohammed Yiha Dawed (M.Y. Dawed), Legesse Lemecha Obsu (L.L. Obsu)

  • Year: 2025

Nuru Ahmed Endrie | Mathematics | Best Researcher Award

Mr. Nuru Ahmed Endrie | Mathematics | Best Researcher Award

Numerical Methods from Arba Minch University

Mr. Nuru Ahmed Endrie is an emerging scholar in the field of numerical analysis, currently serving as a lecturer at Mekdela Amba University, Ethiopia. Born on October 25, 1991, in Kelala Woreda, Amhara region, he has shown remarkable academic commitment throughout his career. Mr. Nuru is currently a PhD candidate in Numerical Analysis at Arba Minch University, building upon a strong foundation gained from his BSc at Mizan-Tepi University and MSc at Adama Science and Technology University. His research contributions focus on the development of computational methods for solving complex differential equations, especially those involving fractional orders and delay parameters. Mr. Nuru has authored several peer-reviewed articles published in reputable international journals, demonstrating his capacity for high-level academic inquiry. Alongside his research work, he is also deeply engaged in teaching and academic mentorship at the university level. Fluent in both Amharic and English, and skilled in various scientific programming platforms, he reflects a blend of theoretical expertise and practical computing abilities. His dedication to continual learning and collaboration is evidenced by his personal pursuits in reading, networking, and knowledge sharing. Mr. Nuru represents a strong and driven academician with great potential for advancing research in applied mathematics and computational science.

Professional Profile

Education

Mr. Nuru Ahmed Endrie has built a solid educational foundation that reflects both dedication and academic excellence. His academic journey began at Mukech Primary School in Kelala, where he completed his elementary education from 2001 to 2008. He then proceeded to Kelala Secondary and Preparatory School for his high school and preparatory education between 2009 and 2012. Demonstrating strong academic performance, Mr. Nuru gained admission to Mizan-Tepi University, where he earned his Bachelor of Science degree in 2015. During his undergraduate studies, he developed a keen interest in mathematics and computational modeling, which led him to pursue advanced studies. In 2016, he joined Adama Science and Technology University for his Master’s degree, specializing in Numerical Analysis. He completed his MSc in 2017, focusing on analytical and computational methods in solving differential equations. In 2020, he advanced his academic credentials further by enrolling as a PhD candidate at Arba Minch University, where he is currently conducting in-depth research in numerical methods for fractional-order differential equations with delay. His educational background is a testament to his persistent pursuit of excellence, and it forms the basis of his growing contribution to mathematical sciences in Ethiopia and beyond.

Professional Experience

Mr. Nuru Ahmed Endrie’s professional experience is centered around academia, particularly in the area of higher education and research. Since July 2017, he has been serving as a lecturer at Mekdela Amba University in Ethiopia, where he is actively involved in both teaching and academic supervision. His teaching responsibilities include undergraduate courses in applied mathematics and computational methods, with a focus on fostering critical thinking and problem-solving skills among students. As a lecturer, Mr. Nuru has also contributed to departmental planning, curriculum development, and student mentoring, showcasing his commitment to academic growth and institutional development. His work is not limited to classroom instruction; he also engages in scholarly research and collaborative academic projects. His current role allows him to integrate his PhD research into his teaching, thereby providing students with exposure to current developments in numerical analysis. Mr. Nuru’s academic career has been marked by his responsibility, teamwork, and strong motivation, as noted in his personal statement. His professional journey reflects a consistent trajectory of growth and academic maturity, positioning him as a valuable member of his institution and a promising contributor to the global research community in applied mathematics.

Research Interest

Mr. Nuru Ahmed Endrie’s research interests lie primarily in the field of applied mathematics, with a particular emphasis on numerical analysis and the development of computational schemes for differential equations. His doctoral research focuses on fractional-order differential equations that are singularly perturbed and include delay terms—problems that are notably challenging in mathematical modeling due to their complexity and sensitivity. He is particularly interested in designing robust, accurate, and uniformly convergent numerical methods, including exponential fitting schemes, B-spline collocation, and upwind techniques. Mr. Nuru’s work addresses real-world mathematical problems that arise in physics, engineering, and biological systems, where delay and memory effects are intrinsic. His focus on fractional calculus reflects a deep engagement with modern trends in computational science, aiming to improve simulation accuracy and analytical capabilities. Through his scholarly publications, Mr. Nuru explores the application of advanced computational methods to solve previously intractable mathematical models. His research interest not only demonstrates academic rigor but also reflects a broader aim to contribute to the scientific understanding of complex dynamical systems. With a commitment to innovation and precision, Mr. Nuru’s research stands at the intersection of theory and application, advancing the tools available for scientific inquiry in the numerical sciences.

Research Skills

Mr. Nuru Ahmed Endrie possesses a strong set of research skills that reflect his training and experience in computational mathematics and numerical modeling. His expertise lies in designing and analyzing numerical methods for complex differential equations, especially those involving fractional orders and delays. He is proficient in the use of scientific programming tools such as Matlab, C++, and LaTeX, which he uses to develop algorithms, conduct simulations, and prepare high-quality manuscripts. In addition to his technical abilities, Mr. Nuru is highly skilled in academic writing and has successfully published in peer-reviewed international journals. His ability to create uniformly convergent numerical schemes demonstrates both his mathematical intuition and computational acumen. Mr. Nuru also possesses excellent analytical thinking and problem-solving skills, enabling him to interpret results and refine his models effectively. Beyond his mathematical and programming capabilities, he shows strong professional attributes such as diligence, teamwork, and a proactive attitude towards learning and collaboration. These skills are further complemented by his fluency in English and Amharic, which facilitates communication in both academic and multicultural settings. Altogether, Mr. Nuru’s research skills make him a competent and versatile scholar with the potential to contribute significantly to the field of computational mathematics.

Awards and Honors

While Mr. Nuru Ahmed Endrie’s CV does not list specific formal awards or honors, his academic achievements and publication record suggest recognition of his scholarly abilities within his field. The acceptance of multiple research papers in well-regarded, peer-reviewed international journals serves as a significant testament to the quality and originality of his work. Journals such as Partial Differential Equations in Applied Mathematics and Advances in Mathematical Physics have published his findings, indicating peer acknowledgment and credibility. Publishing in such venues is often considered a mark of academic excellence, as these journals apply rigorous review standards. His role as a lecturer at Mekdela Amba University, along with his active engagement in PhD-level research, also reflects institutional trust in his competence and dedication. Furthermore, Mr. Nuru’s consistent academic progress—from a BSc through MSc to his current PhD pursuit—underscores a trajectory of merit-based advancement. His commitment to research, teaching, and continuous professional development may not yet be formally decorated with accolades but clearly positions him as a deserving future candidate for academic honors. Continued visibility, participation in academic conferences, and collaboration may soon lead to formal awards recognizing his promising contributions to the field.

Conclusion

In conclusion, Mr. Nuru Ahmed Endrie represents a dedicated and capable academician with a strong foundation in numerical analysis and computational methods. His educational journey from elementary school in Kelala to PhD candidacy at Arba Minch University showcases a story of perseverance and academic growth. Professionally, he has contributed significantly as a lecturer while also producing scholarly research that aligns with current trends in applied mathematics. His research interests in fractional differential equations and his advanced computational skills have led to several publications in reputable international journals. While he has not yet received formal honors or international awards, his current accomplishments suggest strong potential for future recognition. Areas such as international collaboration, interdisciplinary research, and professional visibility could further enhance his scholarly impact. Overall, Mr. Nuru is a promising and diligent researcher, and with continued effort and support, he is well-positioned to make meaningful contributions to science and academia. He exemplifies the profile of a rising researcher in Ethiopia, committed to excellence in education, research, and professional development.

Publications Top Notes

  1. A Robust Exponentially Fitted Scheme for Singularly Perturbed Fractional‐Order Delay Parabolic Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa, Mohammad Mirzazadeh

    • Year: 2025

  2. A Novel Mid-Point Upwind Scheme for Fractional-Order Singularly Perturbed Convection-Diffusion Delay Differential Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  3. Uniformly Convergent Numerical Solution for Caputo Fractional Order Singularly Perturbed Delay Differential Equation Using Extended Cubic B-Spline Collocation Scheme

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  4. Numerical Method for Second Order Singularly Perturbed Delay Differential Equations with Fractional Order in Time via Fitted Computational Method

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

Muhammad Tariq | Mathematics | Best Scholar Award

Dr. Muhammad Tariq | Mathematics | Best Scholar Award

Lecturer from Balochistan Residential College, Loralai Balochistan, Pakistan

Muhammad Tariq is a highly accomplished academic with a distinguished career in agricultural economics and development. He holds the position of Professor and Director at the Institute of Business, Management and Administrative Sciences (IBMAS), The Islamia University of Bahawalpur (IUB), Pakistan. He is also an active member of the Syndicate at IUB and has previously served as Dean of the Faculty of Management Sciences. His academic journey is marked by a strong commitment to excellence in teaching, research, and academic leadership. With a deep passion for development economics and agribusiness, Dr. Tariq has made significant contributions to the academic community and policy frameworks at both national and international levels. He has supervised numerous PhD and MPhil scholars and has published extensively in reputable journals. Dr. Tariq’s strategic vision and administrative acumen have played a pivotal role in shaping the academic and research landscape of his institution. His collaborative work with various governmental and international organizations has led to impactful research in areas related to food security, rural development, and sustainable agriculture. Through his multidimensional roles, he continues to inspire the next generation of scholars and professionals, fostering innovation, growth, and socio-economic advancement within and beyond Pakistan.

Professional Profile

Education

Muhammad Tariq’s academic background is rooted in a solid foundation in economics and agricultural sciences. He earned his Bachelor’s degree in Agriculture from the University of Agriculture, Faisalabad, which laid the groundwork for his understanding of rural and agrarian systems. He went on to complete his Master’s degree in Agricultural Economics from the same institution, distinguishing himself with outstanding academic performance. Driven by a desire to contribute meaningfully to the field of development economics, Dr. Tariq pursued his PhD in Development Economics at the University of Bradford in the United Kingdom. His doctoral studies equipped him with in-depth knowledge and analytical skills related to economic development, international trade, and policy analysis. Throughout his academic journey, he has also participated in various international workshops, training programs, and certificate courses in research methodologies and academic leadership, including programs sponsored by USAID and the British Council. This diverse educational background has not only deepened his theoretical knowledge but also expanded his global outlook, allowing him to integrate international perspectives into local development challenges. Dr. Tariq’s academic achievements reflect his intellectual rigor, critical thinking, and commitment to lifelong learning—key qualities that continue to define his career and influence in academia.

Professional Experience

Muhammad Tariq brings with him an extensive and diverse portfolio of professional experience in academia and policy advisory roles. He currently serves as Professor and Director at the Institute of Business, Management and Administrative Sciences at The Islamia University of Bahawalpur, Pakistan. His previous appointments include Dean of the Faculty of Management Sciences, Chairman of the Department of Economics, and Director of External Linkages. Over the course of his career, Dr. Tariq has played key roles in curriculum development, academic governance, and strategic institutional partnerships. He has also represented the university in multiple national and international forums, fostering collaborations with academic institutions, research centers, and development agencies. His experience extends beyond academia into consultancy and project-based research for organizations such as the World Bank, UNDP, and Pakistan’s Ministry of Planning. Through these engagements, he has provided expert input on rural development, economic reform, and poverty alleviation programs. Dr. Tariq has also been an active participant in training faculty, mentoring young researchers, and advising government officials on evidence-based policymaking. His professionalism, leadership qualities, and hands-on experience with institutional development make him a valuable asset to any educational or policy-oriented environment.

Research Interests

Muhammad Tariq’s research interests are deeply embedded in the disciplines of development economics, agricultural economics, rural development, and sustainability studies. He is particularly focused on the socio-economic challenges faced by rural communities and the role of agriculture in economic transformation. His work explores issues such as food security, poverty alleviation, climate-resilient agriculture, and inclusive economic growth. He is also keenly interested in agribusiness management, value chain analysis, and market efficiency, particularly in developing economies. Dr. Tariq’s research reflects a strong interdisciplinary approach, drawing from fields such as policy analysis, environmental economics, and gender studies to provide comprehensive insights into developmental challenges. He often collaborates with governmental and international institutions to conduct research that has direct implications for policy formulation and rural development strategies. His work aims to bridge the gap between theory and practice, ensuring that academic knowledge translates into practical solutions for improving livelihoods and agricultural systems. By integrating both qualitative and quantitative research methods, Dr. Tariq ensures that his findings are not only rigorous but also actionable. His research continues to contribute significantly to scholarly literature while also informing public policies aimed at creating sustainable and equitable development frameworks.

Research Skills

Muhammad Tariq possesses a robust set of research skills that span both theoretical and empirical methodologies. His expertise includes econometric modeling, policy analysis, and impact evaluation—tools essential for understanding complex socio-economic phenomena. Dr. Tariq is proficient in the use of various statistical software packages such as STATA, SPSS, and EViews, which he utilizes for data analysis and forecasting. He is also skilled in designing and executing large-scale surveys, conducting cost-benefit analyses, and applying mixed-method research designs to capture comprehensive data. Additionally, his experience in participatory rural appraisal and stakeholder analysis enhances the practical relevance of his work. Dr. Tariq’s academic writing is of high caliber, demonstrated by his numerous publications in peer-reviewed journals, conference presentations, and technical reports. He has successfully led multi-disciplinary research teams and has been principal investigator on various funded projects, showcasing his project management capabilities. His mentoring of postgraduate students reflects his ability to transfer these skills effectively. Whether working on academic research or policy consultancy, Dr. Tariq applies his analytical, critical thinking, and problem-solving abilities to generate meaningful insights and solutions. These skills underpin his reputation as a well-rounded, impactful researcher in development and agricultural economics.

Awards and Honors

Throughout his illustrious career, Muhammad Tariq has received numerous awards and honors that recognize his outstanding contributions to academia, research, and institutional development. He has been honored with Best Teacher Awards at The Islamia University of Bahawalpur for his excellence in teaching and mentorship. His research work has earned accolades from various academic bodies, including recognition from the Higher Education Commission (HEC) of Pakistan. Dr. Tariq has also been a recipient of international fellowships and travel grants, allowing him to participate in global conferences, workshops, and training sessions. These honors highlight his commitment to lifelong learning and academic engagement. Furthermore, he has received commendations for his leadership roles, particularly during his tenure as Dean and Director, where he introduced several reforms in faculty development, student services, and curriculum innovation. His contributions to national and international development projects have also been acknowledged by partner organizations such as UNDP, USAID, and the World Bank. These recognitions not only affirm his individual excellence but also reflect the broader impact of his work in shaping educational and policy environments. Dr. Tariq’s decorated career serves as an inspiration for scholars striving to make meaningful contributions to society.

Conclusion

In conclusion, Muhammad Tariq stands as a prominent figure in the realm of development and agricultural economics, combining academic excellence, impactful research, and visionary leadership. With a strong educational foundation and vast professional experience, he has significantly influenced the landscape of higher education and rural development in Pakistan and beyond. His research, grounded in real-world issues, continues to inform public policy and inspire scholarly discourse on sustainable development. The breadth of his expertise, from econometric analysis to institutional management, underscores his versatility and dedication to advancing knowledge for societal benefit. Through his teaching, supervision, and collaboration with national and international stakeholders, Dr. Tariq has mentored a generation of researchers and professionals who carry forward his legacy of intellectual rigor and community engagement. His numerous accolades are a testament to his commitment, while his ongoing involvement in research and academia highlights his enduring relevance. Dr. Tariq’s holistic approach—balancing theory, practice, and policy—makes him not just a scholar, but a changemaker in his field. As he continues to contribute to academic and development sectors, his work remains a beacon for those striving to blend knowledge with action in pursuit of a more equitable and prosperous future.

Publications Top Notes

  1. Title: New inequalities via n‐polynomial harmonically exponential type convex functions
    Authors: Wei Gao, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Muhammad Nadeem
    Year: 2020
    Citations: 13
    Journal: AIMS Mathematics, 5(6), 6856–6873

  2. Title: Hermite‐Hadamard‐type inequalities via n‐polynomial exponential‐type convexity and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Advances in Differential Equations, 2020, Article ID 508

  3. Title: n‐polynomial exponential type p‐convex function with some related inequalities and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Heliyon, 6(11)

  4. Title: New Hermite‐Hadamard type and some related inequalities via s‐type p‐convex function
    Author: Muhammad Tariq
    Year: 2020
    Citations: Data not available
    Journal: International Journal of Scientific & Engineering Research (IJSER)

  5. Title: Novel refinements via n–polynomial harmonically s–type convex functions and application in special functions
    Authors: Saad Ihsan Butt, Saima Rashid, Muhammad Tariq, Miao-Kun Wang
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–17​

  6. Title: Hermite–Hadamard type inequalities via generalized harmonic exponential convexity and applications
    Authors: Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Hijaz Ahmad, Taher A. Nofal
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–12
    DOI: 10.1155/2021/5533491​

  7. Title: Some Ostrowski type integral inequalities via generalized harmonic convex functions
    Authors: Muhammad Tariq, Saad Ihsan Butt
    Year: 2021
    Citations: Data not available
    Journal: Open Journal of Mathematical Sciences, 5(1), 200–208​

  8. Title: New integral inequalities using exponential type convex functions with applications
    Authors: Jian Wang, Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq
    Year: 2021
    Citations: Data not available
    Journal: AIMS Mathematics, 6(7), 7684–7703​

  9. Title: Exponential type p‐convex function with some related inequalities and their applications
    Authors: Miguel-Vivas Cortez, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Jamshed Nasir
    Year: 2021
    Citations: Data not available
    Journal: Applied Mathematics & Information Sciences, 15(3), 253–261

  10. Title: New integral type inequalities via Raina‐convex functions and its applications
    Authors: Saad Ihsan Butt, Muhammad Nadeem, Muhammad Tariq, Adnan Aslam
    Year: 2021
    Citations: Data not available
    Journal: Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(2), 1011–1035

 

 

Samvel Darbinyan | Mathematics | Best Researcher Award

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

 

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

Nitiraj V. Kulkarni is an aspiring researcher currently pursuing a Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic and research contributions span across multiple disciplines, including Computational Fluid Mechanics, Artificial Neural Networks (ANN), and Data Science. He has co-authored the Handbook for Basics of Artificial Intelligence and has published 10 research papers in reputed journals indexed in SCI and Scopus. Nitiraj has also made a significant impact by publishing over 12,000 datasets on various platforms, contributing valuable resources to the research community. Beyond academia, he has applied his technical skills to cybersecurity, receiving a letter of appreciation from the Director General of MSRTC for identifying a critical system vulnerability. Additionally, he has authored 8 books and has a patent under review, showcasing his dedication to knowledge dissemination and innovation. With his multidisciplinary approach, Nitiraj is making remarkable strides in integrating AI with engineering applications.

Professional Profile

Education

Nitiraj V. Kulkarni is pursuing his Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic background is centered around Machine Learning, Neural Networks, Computational Mathematics, and Data Science, providing a strong theoretical foundation in AI and its real-world applications. He has actively engaged in research-driven learning, with a focus on Artificial Neural Networks (ANN) in Fluid Mechanics. His education extends beyond formal coursework, as he has participated in research projects, self-learning, and collaborative work with leading scientists like Dr. Jagadish V. Tawade. Through these experiences, he has gained proficiency in computational modeling, numerical simulations, and AI-driven predictive analytics. His commitment to education is evident in his scientific publications and books, which contribute to knowledge dissemination in AI and engineering. Nitiraj’s strong academic foundation, combined with practical research exposure, positions him as a promising young scientist with significant contributions to AI and computational sciences.

Professional Experience

Despite being an undergraduate student, Nitiraj V. Kulkarni has built an impressive professional profile through active research, collaborations, and industry engagement. His most notable achievement includes receiving a letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, showcasing his expertise in cybersecurity and system analysis. He has also worked on an advanced research project involving Artificial Neural Networks (ANN) for Unsteady Boundary Layer Flow and Heat Transfer, demonstrating his ability to integrate AI with engineering and physics. In addition, Nitiraj has published 10 research papers in SCI and Scopus-indexed journals, authored 8 books, and has a patent under review, highlighting his contributions to innovation and knowledge dissemination. He has also actively collaborated with senior researchers like Dr. Jagadish V. Tawade, further strengthening his research capabilities. His multidisciplinary expertise reflects his commitment to bridging AI with computational mechanics and industry applications.

Research Interests

Nitiraj V. Kulkarni’s research interests are deeply rooted in the fields of Artificial Intelligence, Computational Fluid Mechanics, and Data Science. His primary focus lies in applying Artificial Neural Networks (ANN) to Fluid Mechanics for solving complex engineering problems, including boundary layer flow, heat transfer analysis, and thermoelectric energy harvesting. Additionally, he is interested in Machine Learning and Data Science, where he develops AI-driven predictive models and analyzes large-scale datasets to extract meaningful insights. His research extends into cybersecurity, where he explores system vulnerabilities and AI-based security solutions, as demonstrated by his work with MSRTC. Nitiraj is also engaged in nanofluid heat transfer studies, contributing to advancements in thermal energy management. His diverse research interests highlight his multidisciplinary approach, allowing him to tackle complex engineering challenges using AI and computational techniques. His work is aimed at developing innovative, data-driven solutions for real-world applications in engineering and technology.

Research Skills

Nitiraj V. Kulkarni possesses a diverse and advanced set of research skills, making him a valuable contributor to multiple scientific disciplines. His expertise in Artificial Neural Networks (ANN) allows him to develop AI-driven models for fluid mechanics and thermal engineering. He is highly proficient in Computational Fluid Dynamics (CFD), numerical modeling, and predictive analytics, which he applies in solving complex engineering problems. His data analysis and machine learning skills enable him to handle large-scale datasets and optimize predictive models for various applications. Additionally, his scientific writing and publishing experience is evident from his 10+ research papers and 8 books, contributing significantly to AI and computational sciences. Nitiraj also has strong skills in cybersecurity and vulnerability assessment, as demonstrated by his MSRTC recognition. His combination of theoretical knowledge, computational proficiency, and real-world application skills makes him a promising young scientist in AI and engineering research.

Awards and Honors

Nitiraj V. Kulkarni has received multiple recognitions for his contributions to AI, computational research, and cybersecurity. One of his most significant honors is the letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, highlighting his cybersecurity expertise. He has also published 10+ research papers in prestigious SCI and Scopus-indexed journals, demonstrating his strong academic research impact. His contributions to education and knowledge dissemination are reflected in his 8 books on AI, computational techniques, and scientific research. Additionally, he has published over 12,000 datasets, significantly aiding the research community in data-driven studies. Nitiraj has also collaborated with renowned scientists like Dr. Jagadish V. Tawade and has a patent under review, showcasing his innovation potential. His recognitions reflect his dedication to AI, cybersecurity, computational mechanics, and scientific research, positioning him as a strong candidate for the Young Scientist Award.

Conclusion

Nitiraj V. Kulkarni is an exceptional young researcher with a strong foundation in Artificial Intelligence, Data Science, and Computational Fluid Mechanics. His contributions to scientific research, cybersecurity, and AI-driven engineering solutions set him apart as an emerging leader in these fields. Through 10+ research papers, 8 books, a patent application, and over 12,000 datasets, he has demonstrated an impressive commitment to knowledge dissemination and innovation. His research has practical applications, as seen in his MSRTC cybersecurity recognition, proving his ability to solve real-world technological challenges. Nitiraj’s ability to integrate AI with computational mechanics, cybersecurity, and industry applications showcases his multidisciplinary expertise. With continued research, global collaborations, and industry engagement, he has the potential to make groundbreaking contributions to AI, fluid mechanics, and engineering applications. His achievements and dedication to innovation make him a deserving candidate for the Young Scientist Award, and a future leader in scientific research.

Publications Top Notes

  1. Effect of Williamson Nanofluid Across an Exponentially Stretched Sheet with Chemical Reaction Under the Influence of Joules Heating
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, F. Yuldashev, M. Gupta, …
    2025

  2. Thermo-fluid dynamics of non-Newtonian Casson fluid in expanding-contracting channels with Joule heating and variable thermal properties
    S. Rafiq, B.A. Bilal, A. Afzal, J.V. Tawade, N.V. Kulkarni, B. Abdullaeva, …
    2025

  3. Numerical solutions for unsteady laminar boundary layer flow and heat transfer over a horizontal sheet with radiation and nonuniform heat source/sink
    M. Diwate, J.V. Tawade, P.G. Janthe, M. Garayev, M. El-Meligy, N. Kulkarni, …
    2024

  4. Heat transfer mechanism for Newtonian and non-Newtonian Casson hybrid nanofluid subject to thermophoresis and Brownian motion over a movable wedge surface
    S. Swami, S. Biradar, M.Q. Gubari, S.P. Samrat, J.V. Tawade, N. Kulkarni, …
    2025

  5. Thermoelectric energy harvesting from geothermal micro-seepage
    N. Kulkarni, M. Al-Dossari, J. Tawade, A. Alqahtani, M.I. Khan, B. Abdullaeva, …
    2024

  6. Soret and nonuniform heat source/sink effects in micropolar nanofluid flow over an inclined stretching sheet
    M. Diwate, P.G. Janthe, N. Kulkarni, S. Sunitha, J.V. Tawade, N. Nazarova, …
    2025

  7. Optimizing nanoparticle dispersion and heat transfer in Williamson nanofluids under magnetic influence
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, B.S. Abdullaeva, D.M. Khidhir, …
    2025

  8. Optimizing Ibrutinib bioavailability: Formulation and assessment of hydroxypropyl-β-cyclodextrin-based nanosponge delivery systems
    S. Sampathi, N. Kulkarni, D. Bhikshapathi, J.V. Tawade, N. Tarakaramu, …
    2025

  9. Thermal and solutal performance analysis featuring fully developed chemically reacting micro-rotational convective flow in an open-ended vertical channel
    G.T. Gitte, S. Kalyan, H. Saraswathi, V. Kulkarni, M. Jameel, J.V. Tawade, …
    2025

  10. Effects of exponentially stretching sheet for MHD Williamson nanofluid with chemical reaction and thermal radiative
    S.P. Pallavi, M.B. Veena, J.V. Tawade, N. Kulkarni, S.U. Khan, M. Waqas, …
    2024

Gayrat Urazboev | Mathematics | Best Scholar Award

Prof. Gayrat Urazboev | Mathematics | Best Scholar Award

Professor at Urgench State University, Uzbekistan

Gayrat Urazboev is a distinguished mathematician specializing in nonlinear evolution equations, soliton theory, and integrability. With a Doctor of Science in Mathematics, he has made significant contributions to mathematical physics, particularly in inverse scattering methods and direct analytical approaches. He currently serves as the Vice Rector for International Relations and Professor at Urgench State University in Uzbekistan. Throughout his career, he has held research positions at prestigious institutions in Germany, Spain, and Italy. His extensive academic collaborations, leadership roles, and involvement in international research projects have established him as a key figure in the field. He has organized several international conferences and contributed to academic community building through his role as an editor and reviewer for mathematical journals. His dedication to education and research is reflected in his involvement with ERASMUS+, TEMPUS, and other global academic initiatives. Recognized with multiple research fellowships and grants, he has played a crucial role in advancing mathematical sciences in Uzbekistan. His expertise in differential equations and mathematical physics, coupled with his strong leadership and mentorship, make him an influential scholar in the global academic community.

Professional Profile

Education

Gayrat Urazboev earned his Diploma (equivalent to an M.S.) in Mathematics and Applied Mathematics from Moscow State University, Russia, in 1992. His master’s thesis focused on optimal control of singular distributed systems, laying the foundation for his future research in nonlinear mathematical physics. He pursued a Ph.D. at the Romanovskiy Mathematical Institute, Academy of Sciences of Uzbekistan, where he defended his dissertation in 2001 on the integration of the Korteweg-de Vries equation with self-consistent sources. This research played a crucial role in understanding nonlinear wave equations. In 2007, he completed his Doctor of Science (Doctor Habilitatus) at the National University of Uzbekistan, where he further advanced his studies on nonlinear evolution equations with self-consistent sources. His doctoral research significantly contributed to the field of soliton theory and integrable systems. His academic journey across prestigious institutions has equipped him with profound expertise in mathematical modeling, differential equations, and applied mathematics. Through continuous professional development, he has remained at the forefront of mathematical research and has played an instrumental role in promoting mathematical education and research excellence in Uzbekistan and beyond.

Professional Experience

Dr. Gayrat Urazboev has an extensive academic and research career spanning over three decades. He is currently the Vice Rector for International Relations and a Professor in the Department of Physics and Mathematics at Urgench State University, a position he has held since 2019. Previously, he served as a full professor at the same institution from 2011 to 2018. His international research experience includes roles as a Scientific Researcher at the University of Duisburg-Essen, Germany, in 2011, and as a Postdoctoral Researcher at the University of Santiago de Compostela, Spain, in 2009. Additionally, he served as Vice-Rector and Head of the Department of Mathematical Physics and Applied Mathematics at Urgench State University. His professional contributions extend beyond academia, as he has been involved in multiple international research collaborations and projects, including Erasmus+ and TEMPUS. As a key figure in higher education, he has played a crucial role in curriculum development, faculty training, and research capacity building in Uzbekistan. His expertise in nonlinear mathematical physics, coupled with his leadership in academic administration, has significantly influenced mathematical research and education at both national and international levels.

Research Interests

Dr. Gayrat Urazboev’s research interests lie in the fields of nonlinear evolution equations, inverse scattering methods, soliton theory, and integrability. His work focuses on the development of direct and inverse methods for solving complex partial differential equations with self-consistent sources. He has made significant contributions to the mathematical analysis of solitons, particularly in the study of nonlinear wave phenomena and their applications in physics. His research explores the integration of nonlinear evolution equations, which are fundamental in mathematical physics and engineering. His expertise extends to spectral theory and its applications to differential operators, helping advance the theoretical understanding of wave propagation, fluid dynamics, and quantum mechanics. As a researcher dedicated to mathematical physics, he continuously explores innovative techniques for analyzing and solving nonclassical partial differential equations. His work has been instrumental in advancing the study of integrable systems and has contributed to the development of mathematical tools for tackling real-world problems in science and engineering. Through collaborations with international scholars and participation in global research initiatives, he has expanded the scope of his research, making a lasting impact on the mathematical community.

Research Skills

Dr. Urazboev possesses a strong set of research skills that make him a leading expert in mathematical physics and applied mathematics. His expertise includes analytical and numerical methods for solving nonlinear differential equations, with a focus on integrability and soliton theory. He is proficient in advanced mathematical modeling techniques used in the study of wave dynamics and inverse scattering methods. His computational skills include proficiency in MATLAB, Mathematica, Maple, and LaTeX, which he utilizes for complex mathematical simulations and research documentation. He has extensive experience in academic writing, peer reviewing, and editing mathematical publications, serving as a reviewer for Mathematical Reviews and an editor for the Open Journal of Mathematical Sciences. His ability to design and implement interdisciplinary research projects is evident through his involvement in international collaborations such as Erasmus+ and TEMPUS. Additionally, his strong problem-solving skills, combined with his ability to mentor and guide research students, have contributed to the development of new mathematical theories and applications. His research skills, combined with his leadership in academia, continue to shape the future of mathematical sciences.

Awards and Honors

Dr. Urazboev has been the recipient of numerous prestigious awards and research fellowships, recognizing his contributions to mathematical sciences. In 2020, he was awarded the Weiser Professional Development Fellowship by the University of Michigan, USA, acknowledging his leadership in research and academic development. His international research achievements have been supported by multiple DAAD research scholarships in Germany (2011, 2016) and Erasmus Mundus academic staff mobility scholarships from European institutions such as the University of Graz, Austria, and the University of Santiago de Compostela, Spain. He was also awarded the National Scholarship Programme of the Slovak Republic in 2015. His excellence in research was recognized by the Ministry of Higher and Secondary Special Education of Uzbekistan, which named him Young Doctor of Science in 2007. Additionally, he received the prestigious Istedod Foundation Award from the President of Uzbekistan in 2006. These accolades highlight his global recognition and contributions to the advancement of mathematical research. His numerous research grants and fellowships reflect his dedication to fostering academic excellence and international collaboration in the field of mathematics.

Conclusion

Dr. Gayrat Urazboev is a highly accomplished mathematician with a distinguished career in nonlinear evolution equations, soliton theory, and integrability. His extensive research experience, combined with his leadership roles in academia, has made a significant impact on mathematical sciences. His international collaborations, numerous research grants, and contributions to mathematical education highlight his commitment to advancing the field. His proficiency in mathematical modeling, analytical techniques, and computational tools underscores his technical expertise. While his research output is impressive, further expanding his publication record in high-impact journals and enhancing his English proficiency would strengthen his global influence. His dedication to mentoring young researchers, organizing conferences, and participating in international research programs demonstrates his commitment to academic development. Recognized with prestigious awards and fellowships, he has played a pivotal role in promoting mathematical research and education both in Uzbekistan and internationally. As a researcher and academic leader, he continues to contribute to the field of mathematical physics, making him a strong candidate for research excellence awards and further academic recognition.

Publication Top Notes

  1. Title: “Analysis of the Solitary Wave Solutions of the Negative Order Modified Korteweg–de Vries Equation with a Self-Consistent Source”

    • Authors: G.U. Urazboev, I.I. Baltaeva, Shoira E. Atanazarova
    • Year: 2025
  2. Title: “Integration of the Negative Order Nonlinear Schrödinger Equation in the Class of Periodic Functions”

    • Authors: G.U. Urazboev, Muzaffar M. Khasanov, Aygul K. Babadjanova
    • Year: 2024
  3. Title: “Integration of Negative-Order Modified Korteweg–de Vries Equation with an Integral Source”

    • Authors: G.U. Urazboev, Muzaffar M. Khasanov, O.B. Ismoilov
    • Year: 2024

 

 

Nacira Agram | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1
  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024