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About

Dharmesh Dhabliya is a researcher whose work spans the dynamic intersections of artificial intelligence, robotics, cloud computing, and smart systems. His research contributions reflect a strong commitment to applying intelligent computational methods to real-world challenges across healthcare, agriculture, and industrial automation. Among his most recognized work is his investigation into Delay-Tolerant Sensor Networks within cloud computing environments, which explores robot-assisted location estimation using signal strength analysis — a study that has garnered 16 citations. Dhabliya has also made notable contributions to computer vision, advancing image and video analysis methodologies with applications across healthcare and surveillance sectors. His exploration of evolutionary computation and swarm intelligence, including Particle Swarm Optimization for Industry 4.0 smart decision-making, reflects his dedication to bio-inspired algorithmic approaches in robotics. Particularly impactful is his humanitarian-oriented research applying wearable sensors and machine learning to support children with autism through social robotics. Collectively, his body of work — accumulating over 45 citations — demonstrates a researcher bridging theoretical computational frameworks with transformative practical applications in emerging technology domains.