Mohd Asif Shah
Papers
1
Total Citations
12
H-Index
1
About
Dr. Mohd Asif Shah is a distinguished researcher in applied mathematics and computational science, with a primary focus on numerical methods for fuzzy systems and their applications in differential equations. His major contribution lies in developing highly efficient numerical iterative schemes for solving fuzzy linear and nonlinear systems of equations, where coefficients are crisp numbers and right-hand side vectors are triangular fuzzy numbers. This work, published in 2022 and garnering 12 citations, addresses critical challenges in modeling uncertainty within mathematical frameworks, enabling more accurate solutions for real-world problems in engineering and physics. Dr. Shah’s research bridges theoretical mathematics and practical computation, offering robust tools for scientists dealing with imprecise data. His notable achievement includes advancing the numerical analysis of fuzzy differential equations, a field with growing relevance in control systems and optimization. With a citation count reflecting the emerging impact of his work, Dr. Shah continues to contribute to the intersection of fuzzy set theory and numerical analysis, making his research essential for students and researchers exploring uncertainty quantification and advanced computational techniques.
Research Focus
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Top Papers
- 1