L. Mary Gladence

Sathyabama Institute of Science and Technology

Papers

Total Citations

H-Index

About

L. Mary Gladence is a researcher whose work sits at the intersection of artificial intelligence, data fusion, and human-robot interaction, with a strong focus on practical, real-world applications. Her most influential contribution is the development of a **hybrid data fusion model** that integrates Dempster–Shafer theory with an adaptive neuro-fuzzy inference system (DSANFI). This model, detailed in her 2019 paper (13 citations), offers a powerful method for making decisions with restricted or uncertain information, a critical challenge in fields like diagnostics and security. Demonstrating the breadth of her applied AI expertise, Gladence has also explored **swarm intelligence for disaster recovery** (11 citations), proposing algorithms to coordinate autonomous agents in chaotic, post-disaster environments for efficient search and rescue. Furthermore, her work on **human-robot interaction** (11 citations) investigates intuitive interfaces that allow humans to instruct robots using natural speech and gestures, aiming to create more collaborative and accessible robotic systems. Through these contributions, Gladence is advancing the frontier of how intelligent systems can reason under uncertainty and work alongside humans in high-stakes scenarios.