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Khairul Habib Alam
| Khairul Habib Alam | |
|---|---|
| Affiliation | SRM University Delhi-NCR |
| Country | India |
| Scopus ID | uwzbN5sAAAAJ&hl |
| Documents | 29 |
| Citations | 283 |
| h-index | 10 |
| Subject Area | Mathematics |
| Event | Scientific World Research Awards |
| ORCID | 0000-0001-9565-4223 |
Khairul Habib Alam is a mathematics researcher and Assistant Professor at SRM University Delhi-NCR. His work focuses on fixed point theory, nonlinear analysis, numerical approximations, optimization, and scientific computing. Through scholarly publications, conference participation, and peer-review activities, he has contributed to contemporary mathematical research and interdisciplinary applications.[1]
Khairul Habib Alam has established a research profile in mathematics through contributions to fixed point theory, nonlinear analysis, fuzzy metric spaces, numerical approximation techniques, and applications of mathematical modeling. His publications demonstrate engagement with theoretical developments and practical problem-solving in scientific computing, differential equations, and optimization. As an educator and researcher, he has participated in collaborative international research and scholarly peer review activities. His body of work reflects sustained academic productivity and contributes to advancing mathematical methodologies applicable across engineering, computational science, and interdisciplinary research domains.[1][2]
Fixed Point Theory, Nonlinear Analysis, Numerical Approximation, Mathematical Modeling, Fuzzy Metric Spaces, Optimization.
The advancement of mathematical sciences relies on innovative theoretical frameworks and computational methodologies. Alam’s academic work addresses challenges in fixed point theory and related mathematical structures while extending their applications to real-world analytical problems.[1]
Currently serving as Assistant Professor at SRM University Delhi-NCR, Alam previously held a postdoctoral position at IISER Berhampur and earned a Ph.D. in Mathematics from NIT Manipur. His expertise includes fixed point theory, nonlinear analysis, optimization, and scientific computing.[1]
His research has introduced iterative procedures, contraction principles, fuzzy fixed-point frameworks, and applications involving differential equations, neural networks, fractals, and mathematical models. These studies contribute to both theoretical mathematics and computational applications.[3]
The researcher has produced numerous journal articles, book chapters, and scholarly outputs. Publications have appeared in journals such as Applied Mathematics and Computation, Numerical Algorithms, PLOS ONE, and Mathematics, reflecting consistent engagement with international research communities.[2]
With documented citations and an established h-index, Alam’s publications demonstrate measurable scholarly visibility. His involvement in peer review and professional societies further supports research dissemination and academic service activities.[1]
The Best Researcher Award recognizes sustained scholarly achievement, research productivity, and academic contribution. Alam’s publication record, interdisciplinary applications of mathematics, and commitment to research excellence align with the objectives of this recognition program.[1][2]
Khairul Habib Alam has developed a noteworthy academic profile through contributions to mathematical theory and computation. His research activities, publications, and professional engagement support consideration for academic recognition within the mathematics community.
Profesor Titular | University of Cadiz | Spain
José María Sánchez-Delgado is an accomplished mathematician and researcher whose work spans the intricate domains of mathematical physics, algebraic geometry, and operator theory. His primary research explores the deep structural relationships among Lie algebras, graded Lie-Rinehart algebras, and symplectic Lie superalgebras, as well as the decomposition of linear operators in pre-Euclidean spaces. These topics represent fundamental pillars in the study of mathematical frameworks that describe physical systems, geometric symmetries, and analytical transformations.Sánchez-Delgado’s research contributions have significantly enriched the understanding of graded algebraic systems and their applications to modern geometry and physics. His studies on Lie-Rinehart algebras expand the algebraic foundations that connect derivations and differential operators, offering new approaches to algebraic modeling and geometric representation. Similarly, his investigations into symplectic Lie superalgebras with filiform modules reveal innovative algebraic architectures that enhance comprehension of symmetry principles and structure-preserving transformations in theoretical physics.His publication record, comprising 37 peer-reviewed papers with over 200 citations and an h-index of 8, reflects sustained scholarly influence and consistent intellectual advancement. Notable recent works include “Graded Lie-Rinehart Algebras,” “Quadratic Symplectic Lie Superalgebras with a Filiform Module as an Odd Part,” and “Decomposition of Linear Operators on Pre-Euclidean Spaces by Means of Graphs.” These studies collectively demonstrate his ability to combine abstract algebraic reasoning with geometric intuition and analytical rigor.Sánchez-Delgado’s approach emphasizes the interconnection between algebraic formalism and geometric interpretation, promoting the creation of mathematical tools that are both conceptually elegant and computationally applicable. By employing graph-based decomposition techniques and graded algebraic systems, he provides new perspectives for exploring operator dynamics, metric transformations, and structure-preserving mappings across various mathematical spaces.His collaborative works with international co-authors further contribute to advancing the theoretical landscape of mathematical physics and higher algebra. Through his insightful analyses and innovative methodologies, José María Sánchez-Delgado continues to strengthen the bridge between pure mathematics and applied theoretical sciences, advancing the global understanding of the mathematical structures that govern geometry, symmetry, and physical reality.
Profiles: Scopus | ORCID | Google Scholar
Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On split Leibniz algebras.
Citations: 56
Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On the structure of split Lie color algebras. Linear Algebra and its Applications, 436(2), 307–315.
Citations: 46
Albuquerque, H., Barreiro, E., Benayadi, S., Boucetta, M., & Sánchez-Delgado, J. M. (2021). Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras. Journal of Geometry and Physics, 160, 103939.
Citations: 23
Calderón, A. J., & Sánchez-Delgado, J. M. (2016). The structure of split regular BiHom-Lie algebras. Journal of Geometry and Physics, 110, 296–305.
Citations: 18
Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On the structure of graded Lie superalgebras. Modern Physics Letters A, 27(25), 1250142.
Citations: 16
Dr. José María Sánchez-Delgado’s research advances the theoretical foundations of Lie algebras, Leibniz structures, and Poisson systems, deepening the mathematical understanding that underpins modern physics, quantum theory, and computational modeling. His innovative contributions strengthen the bridge between abstract algebraic theory and real-world applications, fostering global progress in scientific computation, symmetry analysis, and mathematical physics.
Associate Professor | Nanfang College of Sun Yat-sen University | China
Dr. Huiyi Xia is a dedicated academic and researcher in the fields of mathematics and statistics, with a career rooted in both teaching and scholarly research. She began her academic journey with a Bachelor of Science degree in Mathematics from Anhui University, China, in 1992, and later continued at the same institution to earn a Master of Science degree in Mathematics in 2006. Pursuing advanced research, she completed her Ph.D. in Statistics and Management at the Shanghai University of Finance and Economics in 2016, where she developed a strong foundation in statistical modeling, data analysis, and applied mathematics. Currently, she is engaged in teaching and research at Nanfang College, where her professional experience reflects a balance of pedagogy, mentorship, and contributions to academic scholarship. Her research interests span across applied mathematics, statistics, and their applications in management sciences, with a focus on quantitative approaches to problem-solving and data interpretation. Over the years, Dr. Xia has cultivated valuable research skills, including statistical modeling, data-driven analysis, mathematical computation, and academic writing, enabling her to contribute meaningfully to both theoretical and applied dimensions of her discipline. She has also demonstrated the ability to collaborate effectively on research projects, contributing to knowledge development and student training. Though at an early stage of her international academic recognition, her work has been published in peer-reviewed and Scopus-indexed journals, with her efforts contributing to global academic discourse in mathematics and statistics. While no major awards and honors have yet been recorded, her steady research output, dedication to teaching, and involvement in academic development at Nanfang College highlight her as a promising scholar with potential for broader recognition. In conclusion, Dr. Huiyi Xia’s career reflects perseverance, scholarly dedication, and a commitment to advancing both mathematical sciences and higher education. With continued focus on Q1 journal publications, expanding international collaborations, and involvement in professional academic societies, she is well-positioned to enhance her research impact and leadership in the academic community. Scopus record: 2 citations by 2 documents, 4 total documents, and an h-index of 1.