Maneesh Singh

Western Norway University of Applied Sciences

Papers

Total Citations

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About

Maneesh Singh is a researcher at the forefront of intelligent decision-making systems, with a primary focus on fault diagnosis, condition monitoring, and biologically inspired computational models. His work bridges the gap between procedural decision-making and adaptive, nature-inspired algorithms, particularly through the development of Condition Management Systems that mimic biological processes to identify and respond to system faults in real time. His most-cited paper, "Initial Fault Identification for Procedural Decision Making Using Biologically Inspired Condition Management System" (2024), has already garnered 6 citations, signaling early impact in the field. Singh’s contributions are notable for their practical applications in engineering and automation, where his frameworks enhance reliability and resilience in complex systems. By integrating principles from biology into fault detection, he offers novel pathways for autonomous decision-making under uncertainty. His research is especially relevant for students and engineers working on smart infrastructure, robotics, and industrial control, where proactive fault management is critical. Singh’s work continues to shape how machines learn from and adapt to their environments, marking him as an emerging voice in computational intelligence and systems engineering.