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About

Srinath Doss is a multidisciplinary researcher whose work spans robotics, intelligent systems, industrial evolution, and emerging technologies. His research contributions reflect a sustained engagement with the practical application of advanced computational methods across engineering and environmental domains. His most cited work, "Robotic-based nonlinear device fault detection with sensor fault and limited capacity for communication" (2020), demonstrates his technical expertise in fault diagnostics within robotic systems, addressing real-world challenges in sensor reliability and communication constraints. Doss has also made notable contributions to the conceptual advancement of Industry 5.0, exploring the paradigm shift toward human-centric intelligent systems and their transformative potential beyond Industry 4.0. His interdisciplinary reach extends to augmented reality integrated with artificial neural networks, quantum computing's intersection with disaster management, and the deployment of intelligent robotics for wastewater management in India — a pressing environmental concern. Through these diverse contributions, Doss has established himself as a forward-thinking researcher bridging foundational engineering principles with next-generation industrial and societal applications. While his citation counts remain emerging, his breadth of inquiry across robotics, AI, and future industrial frameworks positions him as a productive voice in technology-driven research communities.