Nisha Rani Mahato
Papers
1
Total Citations
3
H-Index
1
About
Nisha Rani Mahato’s research lies at the intersection of nonlinear dynamics, uncertainty quantification, and computational mechanics. Her most-cited work, “Affine‐Contractor Approach to Handle Nonlinear Dynamical Problems in Uncertain Environment” (2020), introduces a novel affine-contractor framework to solve nonlinear ordinary differential equations (NODEs) under uncertainty—a critical challenge in fields like structural mechanics, fluid dynamics, control theory, and robotics. By combining affine arithmetic with contractor methods, Mahato provides a rigorous yet computationally efficient way to bound solutions in the presence of imprecise parameters, offering a powerful alternative to probabilistic or interval-based approaches. This contribution has garnered attention for its potential to improve reliability in engineering simulations where data is sparse or uncertain. While her citation count is still growing, her work addresses a fundamental gap in handling nonlinear dynamical systems with guaranteed accuracy. Mahato’s research is particularly valuable for students and researchers seeking robust numerical methods for real-world applications, from seismology to circuit analysis, where deterministic models fall short. Her approach exemplifies how mathematical rigor can meet practical engineering needs.
Research Focus
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Top Papers
- 1