G. Mohanraj
Papers
1
Total Citations
2
H-Index
1
About
Dr. G. Mohanraj is a leading researcher at the intersection of artificial intelligence, unmanned robotics, and Cyber-Physical Systems (CPS). His work focuses on developing robust decision-making frameworks for autonomous systems operating under real-world uncertainty. His most-cited paper, "Deep iterative fuzzy pooling in unmanned robotics and autonomous systems for Cyber-Physical systems" (2024, 2 citations), introduces a novel deep learning architecture that integrates iterative fuzzy logic with pooling layers to handle ambiguous sensor data in CPS environments. This contribution directly addresses critical challenges in ensuring reliable performance of drones, autonomous vehicles, and other unmanned systems when faced with noisy or incomplete information. Dr. Mohanraj’s research bridges theoretical AI advances with practical engineering solutions, offering scalable methods for enhancing the safety and efficiency of autonomous systems in dynamic, unpredictable settings. His work is particularly relevant for students and researchers exploring the integration of soft computing and deep learning in robotics, as it provides a pathway to more resilient CPS architectures. With a growing citation impact, Dr. Mohanraj is establishing himself as a key voice in the next generation of autonomous system design.
Research Focus
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Top Papers
- 1