Hariom Dhungana

Western Norway University of Applied Sciences

Papers

Total Citations

H-Index

About

Hariom Dhungana is a researcher advancing the field of intelligent fault diagnosis and decision-making systems, with a focus on biologically inspired computational methods. His most-cited work, "Initial Fault Identification for Procedural Decision Making Using Biologically Inspired Condition Management System" (2024), has garnered 6 citations, marking a promising start to his scholarly impact. This research introduces a novel framework that mimics natural biological processes to detect and manage system faults in real-time, enabling more adaptive and resilient procedural decision-making in complex engineering environments. Dhungana's contributions lie at the intersection of artificial intelligence, condition monitoring, and bio-inspired algorithms, offering scalable solutions for early fault identification that reduce downtime and improve safety in industrial applications. His work is particularly notable for integrating principles from neuroscience and evolutionary biology into practical condition management systems, bridging theoretical innovation with real-world utility. As an emerging voice in his field, Dhungana's research holds potential for transformative applications in autonomous systems, aerospace, and manufacturing, where reliable fault detection is critical. His growing citation record and novel approach position him as a researcher to watch in the evolving landscape of intelligent decision support.