Tag: Pure Mathematics Award

Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

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Ms. Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

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

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

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

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

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

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

 

Ilhem Kadri | Mathematics | Best Researcher Award

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Dr. Ilhem Kadri | Mathematics | Best Researcher Award

Oran 1 Ahmed Ben Bella University, Algeria

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

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

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

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

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

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

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

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

Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

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

Vaal University of Technology | South Africa

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

Professional Profile

Scopus | ORCID

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Publication Top Notes

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

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

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

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

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

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

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

Conclusion

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

Alexander Zlotnik | Mathematics | Best Researcher Award

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

Professor from Higher School of Economics, Russia

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

Professional Profile

Education

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

Professional Experience

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

Research Interest

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

 

Yongfeng Li | Mathematics | Best Researcher Award

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

Zhengzhou University of Light Industry, China

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

 

Ehsan Kheirandish | Mathematics | Best Researcher Award

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Dr. Ehsan Kheirandish | Mathematics | Best Researcher Award

Applied Math. Department, Shahid Bahonar University, Iran

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

Professional Profile

Education

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

Professional Experience

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

Research Interest

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

Dipesh | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

Assistant Professor from SR University, India

Dipesh is a renowned historian whose work has profoundly influenced the fields of postcolonial theory and subaltern studies. As the Lawrence A. Kimpton Distinguished Service Professor at the University of Chicago, his interdisciplinary research bridges South Asian history, global climate issues, and critical theory. His landmark book Provincializing Europe questioned the centrality of Europe in global historiography and remains foundational in postcolonial scholarship. Dipesh’s academic work spans across the Departments of History, South Asian Languages and Civilizations, and the College at the University of Chicago, while also contributing to the Law School and the Chicago Center for Contemporary Theory. He is one of the founding editors of the journals Postcolonial Studies and Subaltern Studies and serves as a consulting editor for Critical Inquiry. Dipesh’s scholarship consistently challenges dominant narratives, advocating for historical perspectives that consider diverse cultural and environmental contexts. Through his extensive publications, teaching, and editorial leadership, he continues to shape contemporary historical thought globally.

Professional Profile

Education

Dipesh’s educational background reflects a unique blend of science, management, and the humanities. He began his academic journey with a Bachelor of Science in Physics (Honors) from Presidency College, University of Calcutta, grounding him in analytical and empirical thinking. Recognizing the growing importance of organizational and strategic thinking, he pursued a postgraduate Diploma in Management from the Indian Institute of Management Calcutta. This experience added a managerial perspective to his academic toolkit. Ultimately drawn to questions of history and identity, Dipesh earned his Ph.D. in History from the Australian National University. His doctoral training laid the intellectual groundwork for his lifelong interrogation of historical narratives and colonial legacies. This diverse educational foundation enables Dipesh to approach historical inquiry from multiple vantage points, integrating methods and insights from the sciences, social sciences, and humanities. His academic versatility is one of the hallmarks of his groundbreaking scholarship, enabling him to speak across disciplines and contribute meaningfully to various scholarly debates.

Professional Experience

Dipesh has built an impressive academic and editorial career marked by interdisciplinary collaboration and global impact. At the University of Chicago, he holds the prestigious position of Lawrence A. Kimpton Distinguished Service Professor and is affiliated with the Departments of History, South Asian Languages and Civilizations, English, and the Law School. His role extends to being a faculty fellow at the Chicago Center for Contemporary Theory, where he contributes to critical interdisciplinary discussions. Internationally, Dipesh has served as a visiting distinguished professor at institutions like the Australian National University, highlighting the global recognition of his scholarship. He has significantly shaped postcolonial and historical scholarship through his editorial work. Dipesh is a founding member of the Subaltern Studies editorial collective, a founding editor of Postcolonial Studies, and a consulting editor for Critical Inquiry. These roles have placed him at the center of scholarly dialogue and allowed him to mentor emerging historians and scholars worldwide. His professional engagements reflect his commitment to decolonizing knowledge and advancing critical thought.

Research Interests

Dipesh’s research interests span across a broad range of interdisciplinary domains. His primary focus lies in modern South Asian history, where he explores colonialism, nationalism, and the complexities of historical memory. A pioneer in postcolonial studies, Dipesh challenges Eurocentric frameworks and seeks to “provincialize” Europe by emphasizing non-Western historical experiences. His scholarship delves into the history of capitalism, labor, and modernity in the global South, especially within the context of India. More recently, Dipesh has expanded his research to include climate change and the Anthropocene, exploring how environmental transformations reshape our understanding of history and human agency. His integration of environmental concerns into historiography has made him a leading thinker in environmental humanities. Dipesh’s work is characterized by its interdisciplinary approach, drawing on philosophy, literature, environmental science, and political theory to examine the intersection of history with questions of justice, identity, and global futures. His research continues to open new pathways in historical inquiry.

Research Skills

Dipesh possesses a broad and deep set of research skills rooted in critical theory, historical methodology, and interdisciplinary synthesis. His academic background in physics, management, and history equips him with a rare analytical perspective that informs his approach to complex historical questions. He is skilled in archival research, historiographical critique, and textual analysis, often drawing on a range of primary and secondary sources across languages and cultural contexts. Dipesh employs postcolonial and subaltern methodologies to interrogate dominant historical narratives and uncover marginalized voices. He is also adept at incorporating environmental and philosophical frameworks into historical analysis, especially in the context of the Anthropocene. His editorial experience with major scholarly journals has honed his abilities in peer review, scholarly writing, and intellectual curation. Through collaborative projects, teaching, and mentorship, Dipesh demonstrates strong skills in academic communication, interdisciplinary dialogue, and the ability to foster critical thinking. These skills have enabled him to remain at the forefront of innovative historical scholarship.

Awards and Honors

Dipesh’s groundbreaking scholarship has earned him widespread recognition and numerous prestigious honors. In 2004, he was elected a Fellow of the American Academy of Arts and Sciences, acknowledging his outstanding contributions to historical thought and interdisciplinary scholarship. Two years later, in 2006, he was named an Honorary Fellow of the Australian Academy of the Humanities, reinforcing his international academic standing. The University of London awarded him an honorary Doctor of Letters (D.Litt.) in 2010, followed by an honorary doctorate from the University of Antwerp in 2011. That same year, his alma mater, the Indian Institute of Management Calcutta, recognized him as a Distinguished Alumnus, celebrating his scholarly accomplishments and contributions to global intellectual life. In 2014, Dipesh was awarded the prestigious Toynbee Prize, which honors social scientists for significant contributions to humanity through academic and public life. These accolades reflect the global impact of his work and his enduring influence on contemporary historical and theoretical scholarship.

Conclusion

Dipesh emerges as a transformative figure in contemporary historical thought, blending a unique interdisciplinary background with a commitment to challenging dominant narratives. From his early education in physics and management to his pioneering work in postcolonial and environmental history, Dipesh’s intellectual journey underscores the value of crossing disciplinary boundaries. His contributions to academic journals, his influential writings such as Provincializing Europe, and his innovative engagement with climate history position him as a leading voice in global scholarship. The honors and accolades he has received from esteemed academic institutions across the world are a testament to the profound impact of his work. Dipesh’s ability to connect history with pressing global concerns like climate change and decolonization continues to inspire new generations of scholars. His work not only enriches our understanding of the past but also provides vital insights into the challenges of the present and future. As a thinker, teacher, and editor, Dipesh stands as a beacon of critical and engaged scholarship in the humanities.

Publication Top Notes

  • Title: Effect of time delay on dynamic of plant competition under allelopathy
    Author: P.K. Dipesh
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2022
    Citations: 11

  • Title: Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: P. Dipesh, P. Kumar, C. Cattani
    Journal: International Journal of Mathematics and Computer in Engineering
    Year: 2023
    Citations: 10

  • Title: Effect of time-lag on two mutually competing plant populations under allelochemicals
    Author: P.K. Dipesh
    Journal: Journal of Physics: Conference Series, 2267(1), 012019
    Year: 2022
    Citations: 10

  • Title: Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator
    Authors: P. Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Journal: AIMS Mathematics, 9(3), 7471–7191
    Year: 2024
    Citations: 6

  • Title: Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite (Y₃Fe₅O₁₂/Mg₀.₄Cd₀.₄Co₀.₂Fe₂O₄) composites
    Authors: P. Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Journal: Nano-Structures & Nano-Objects, 36, 101035
    Year: 2023
    Citations: 6

  • Title: Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Author: P.K. Dipesh
    Journal: Chaos, Solitons & Fractals, 171, 113457
    Year: 2023
    Citations: 6

  • Title: Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: P. Dipesh, P. Kumar
    Journal: AIP Conference Proceedings, 2435(1)
    Year: 2022
    Citations: 6

  • Title: Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Author: P. Dipesh
    Journal: Mathematics and Computing, pp. 605–620
    Year: 2023
    Citations: 3

  • Title: On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under the delayed external investment: A new DDE model
    Authors: P. Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Journal: Alexandria Engineering Journal, 91, 510–515
    Year: 2024
    Citations: 2

  • Title: Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Author: P. Dipesh
    Journal: Emerging Advancements in Mathematical Sciences, pp. 39–58
    Year: 2022
    Citations: 2

Haoyan Zhang | Mathematics | Best Researcher Award

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

Associate Professor from Civil Aviation University of China, China

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

Professional Profile

Education

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

Professional Experience

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

Research Interest

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

Samvel Darbinyan | Mathematics | Best Researcher Award

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

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

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

  • Authors: S.K. Darbinyan, Samvel Kh

  • Year: 2025

  • Journal: Journal of Graph Theory

 

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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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