M. Lathamaheswari

Hindustan Institute of Technology and Science

Papers

Total Citations

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About

M. Lathamaheswari is a notable researcher in the emerging field of neutrosophic graph theory, with a particular focus on its applications in robotics and artificial intelligence. Her work centers on extending classical graph structures to handle indeterminate and inconsistent information—a critical need in complex, real-world systems. Her most-cited paper, "Trends on Extension and Applications of Neutrosophic Graphs to Robots" (2021), explores how neutrosophic graphs can model uncertainty in robotic decision-making and navigation, offering a novel framework for enhancing autonomous systems. Though early in its citation trajectory, this work signals her contribution to bridging theoretical mathematics with practical engineering challenges. Lathamaheswari’s research is part of a broader movement to integrate fuzzy logic and neutrosophy into computational models, addressing gaps in traditional graph theory when dealing with ambiguous data. Her efforts are particularly valuable for students and researchers interested in the intersection of graph theory, uncertainty modeling, and robotics, providing a foundation for future innovations in intelligent systems that must operate under incomplete or contradictory information.