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About

Dr. R. S. Sabeenian is a pioneering researcher at the intersection of artificial intelligence, human-robot interaction, and intelligent surveillance systems. His work primarily focuses on developing emotionally aware AI for entertainment robots, advancing personalized human-robot interaction in smart environments—a contribution that has garnered 7 citations since 2024. He has also made significant strides in video surveillance technology, introducing a novel deep learning approach using Convolutional Gated Recurrent Neural Networks (CGRNN) for missing object detection and tracking from camera footage, a method published in 2025 with 3 citations. Dr. Sabeenian’s research bridges the gap between cognitive computing and real-world applications, enhancing both user engagement in smart living spaces and security through automated visual monitoring. His notable achievements include pioneering the integration of emotional AI into robotic systems, setting a foundation for more intuitive and responsive human-machine collaboration. With a growing citation impact, Dr. Sabeenian continues to shape the future of intelligent systems, making his work essential reading for students and researchers in AI, robotics, and computer vision.