Srinidhi Arulselvan | Mathematics | Editorial Board Member

Ms. Srinidhi Arulselvan | Mathematics | Editorial Board Member

Research Scholar | Alagappa University | India

Ms. Srinidhi Arulselvan is an emerging researcher in control systems and applied mathematics, with notable contributions to non-fragile reliable control, sampled-data and memory-based control, multi-agent systems, and vehicle suspension systems affected by actuator faults, delays, and disturbances. Her research interests focus on Lyapunov-based stability analysis, improved and looped Lyapunov–Krasovskii functionals, fault-tolerant and disturbance-rejection control, descriptor systems, and robust nonlinear dynamics with strong engineering applications. She demonstrates solid research skills in mathematical modeling, admissibility analysis, delay-dependent stability criteria, controller synthesis, and simulation-based validation. Ms. Srinidhi has authored 6 Scopus-indexed documents, published in reputable journals including Nonlinear Dynamics, Journal of the Franklin Institute, and International Journal of Robust and Nonlinear Control. Her work has received 12 Scopus citations, with an h-index of 2, reflecting consistent scholarly impact at an early career stage. She has gained academic recognition through high-quality peer-reviewed publications and international collaborations. Overall, her research profile highlights strong theoretical depth, growing visibility, and promising potential for sustained impact in advanced control engineering and nonlinear systems research.

 

Citation Metrics (Scopus Preview)

12
9
6
3
0

Citations

12

Documents

6

h-index

2

Citations

Documents

h-index

Featured Publications

 

José María Sánchez | Mathematics | Best Research Article Award

Dr. José María Sánchez | Mathematics | Best Research Article Award

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

Featured Publications

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.

Huiyi Xia | Mathematics | Best Researcher Award

Dr. Huiyi Xia | Mathematics | Best Researcher Award

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.

Profiles: Scopus | ORCID

Featured Publication

  • Xia, H., Xu, J., & Wen, D. (2025). The impact of large models’ success on data modeling. In Proceedings of the 2025 International Conference on Digital Economy and Information Systems (DEIS). ACM