E. Brumancia

Sathyabama Institute of Science and Technology

Papers

Total Citations

H-Index

About

E. Brumancia is a researcher whose work spans the critical intersection of security systems and intelligent data fusion. Her early, highly cited research introduced an **Android-based home security system** that leverages object motion detection, a practical innovation that has garnered 14 citations for its contribution to accessible, real-time video surveillance. This work addresses the growing need for efficient monitoring in complex public and private spaces. Brumancia’s most significant contribution lies in advancing **hybrid data fusion models**. Her paper on the **Hybrid Data Fusion Model for Restricted Information using Dempster–Shafer and Adaptive Neuro-Fuzzy Inference (DSANFI) System** (13 citations) demonstrates a novel approach to handling uncertain, restricted information. By combining Dempster-Shafer theory with adaptive neuro-fuzzy inference, she created a robust framework for decision-making under ambiguity—a technique with profound implications for cybersecurity, medical diagnostics, and autonomous systems. Her work is notable for bridging theoretical AI with tangible security applications, offering students and researchers a clear model for integrating probabilistic reasoning with machine learning. Brumancia’s research continues to influence how we design systems that are both intelligent and trustworthy.