Nur Intan Raihana Ruhaiyem
Papers
2
Total Citations
86
H-Index
2
About
Dr. Nur Intan Raihana Ruhaiyem is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and educational technology. Her work focuses on leveraging natural language processing (NLP) and computer vision to create more intuitive, adaptive systems. She has made significant contributions to understanding how robots can interpret human communication—not just through words, but through multimodal cues like age and gender—to foster more natural and effective collaboration. Her highly cited 2023 paper, “A Systematic Literature Review on the Applications of Robots and Natural Language Processing in Education” (69 citations), provides a foundational framework for integrating NLP into learning environments, highlighting how machines can analyze cooperative communication to enhance educational outcomes. Complementing this, her work on “Multimodal Age and Gender Estimation for Adaptive Human-Robot Interaction” (17 citations) addresses a critical challenge in computer vision: enabling robots to tailor their behavior based on demographic cues. Through her systematic reviews, Dr. Ruhaiyem has shaped the research agenda for socially aware robotics, offering a roadmap for building machines that truly understand and respond to the people they serve.
Research Focus
Key Achievements
Top Papers
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