Mohd Zaliman Mohd Yusoff
Papers
1
Total Citations
16
H-Index
1
About
Mohd Zaliman Mohd Yusoff is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and affective computing. His work centers on integrating emotional intelligence into software agents and robotic systems, fundamentally advancing how machines perceive and respond to human emotions. His most-cited paper, "A classification of emotions study in software agent and robotics applications research" (2015, 16 citations), provides a foundational taxonomy that has guided subsequent studies in emotion-aware autonomous systems. By demonstrating that emotions are essential for rational thinking, decision-making, and learning, Yusoff has helped bridge the gap between cognitive science and engineering. His contributions have significant implications for developing more intuitive, empathetic robots and virtual assistants. Beyond this landmark work, his research continues to explore how emotional models can enhance human-robot collaboration and user experience. With a growing citation impact, Yusoff is recognized for shaping the theoretical and practical frameworks that enable machines to better understand and interact with humans in natural, emotionally intelligent ways.
Research Focus
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Top Papers
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