Siti Sakira Kamaruddin

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About

Dr. Siti Sakira Kamaruddin is a researcher at the forefront of computer vision and autonomous systems, with a primary focus on object detection and image segmentation for mobile robotics. Her work bridges the gap between artificial intelligence and real-world robotic applications, particularly in industrial and human-interaction contexts. Her most cited paper, a comprehensive review on object detection for autonomous mobile robots (2023, 10 citations), synthesizes the rapid advancements in AI-driven navigation, highlighting how mobile robots are evolving to work closely with humans. In parallel, her innovative research on a double clustering approach for color image segmentation (2023, 5 citations) addresses a fundamental challenge in computer vision—improving classification accuracy for applications ranging from remote sensing to military target recognition. This work demonstrates her commitment to enhancing the foundational algorithms that enable robots to perceive and interpret their environments. Dr. Kamaruddin’s contributions are particularly notable for their practical impact, offering scalable solutions for industries seeking to integrate intelligent, autonomous systems. Her growing citation record reflects a rising influence in the fields of robotics and image analysis, marking her as a promising voice in the next generation of AI-driven automation.