Mortadha Abderrahim
Papers
2
Total Citations
8
H-Index
2
About
Mortadha Abderrahim is an emerging researcher working at the intersection of educational technology, human-robot interaction, and artificial intelligence. His work focuses on developing intelligent social robots capable of supporting learning in meaningful, adaptive ways — a field with growing relevance as AI becomes increasingly embedded in educational environments. Abderrahim's most notable contribution to date is his development of a Hidden Markov Model (HMM)-based real-time intervention methodology that enables social robots to autonomously assess student engagement and respond appropriately without human oversight. This work, which has garnered 6 citations since its 2023 publication, addresses a critical challenge in educational robotics: making robots genuinely autonomous rather than merely reactive. His more recent work explores how Large Language Models (LLMs) can empower social robots like RoboBuddy to generate and improvise storytelling scenarios, tackling both the practical burden of lesson planning and the complex challenge of multicultural integration in classrooms. Together, these contributions position Abderrahim as a researcher committed to making social robots pedagogically viable and practically deployable. Though early in his career, his focus on interpretable machine learning and real-world classroom applications signals a thoughtful, impact-driven research trajectory worth following closely.
Research Focus
Key Achievements
Top Papers
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