Christos Troussas

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About

Christos Troussas is a leading researcher in the intersection of affective computing, human–robot interaction, and intelligent educational systems. His work focuses on embedding emotion recognition into digital learning environments and robotic platforms to create adaptive, personalized user experiences. Notably, his highly cited 2022 study on emotion recognition using the NAO robot demonstrates how affective computing can transform educational robotics by tailoring interactions to learners’ emotional states. With over 33 citations, this work highlights his impact on bridging artificial intelligence and pedagogy. Troussas has also contributed extensively to the design of adaptive e-learning systems, where his models integrate user modeling, sentiment analysis, and machine learning to enhance engagement and learning outcomes. His research is widely recognized for its practical applications in both academic and industrial settings, influencing how technology can respond to human emotions in real time. Through his innovative contributions, Troussas continues to shape the future of human-centered computing, making learning more intuitive, responsive, and effective.