Klitos Christodoulou

University of Nicosia, Neapolis University Pafos

Papers

Total Citations

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About

Klitos Christodoulou is a researcher whose work bridges computer science education and intelligent image retrieval systems. His primary research areas include educational robotics, algorithmic thinking, and content-based image retrieval. Christodoulou’s most impactful contribution is his 2021 study on introducing algorithmic thinking and sequencing through tangible robots, which has garnered 36 citations. This work addresses the critical challenge of teaching foundational computer science concepts to young learners by leveraging physical, interactive robots in classroom settings, demonstrating how tangible interfaces can demystify sequencing and problem-solving. In addition to his educational research, Christodoulou has advanced the field of image retrieval with his 2018 paper on the CoMo descriptor—a scale and rotation invariant composite moment-based method that enhances the accuracy and efficiency of image search systems. This work, while less cited, represents a technical contribution to computer vision and multimedia retrieval. Christodoulou’s dual focus on pedagogy and algorithmic innovation highlights his commitment to making computing accessible and effective, both as a learning tool and as a technical discipline.