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Christos-Nikolaos Anagnostopoulos

Cultural Technology and Communication · University of the Aegean

https://researchid.co/canag25
@ct.aegean.gr
204Scopus Publications
6577Google Scholar Citations
33Google Scholar h-index
91Google Scholar i10-index

Research Interests

Digital Twins, Remote Sensing, LiDAR, Robotics

Biography

Prof. Anagnostopoulos Christos-Nikolaos received his diploma in the field of Mechanical Engineering, and in 2002 his PhD diploma in the field of Computer Vision and Computational Intelligence from the School of Electrical and Computer Engineering, National Technical University.He is Professor, Director of the Intelligent Systems lab and Intelligent Computer Systems MSc Program in the Cultural Technology and Communication Dpt, University of the Aegean. His research interests include image processing, computer vision, computer graphics and artificial intelligence for the development of intelligent applications and cultural informatics. He has published more than 300 papers in scientific journals and conferences, in the above subjects as well as other related fields in informatics. As of 2020, he is among the 2% of the most influential researchers in the field of Artificial Intelligence and Image Processing (Stanford University, Elsevier), based on the scitations in his work.

Education

Mechanical Engineering Diploma, National Technical University of Athens, 1998 Electrical and Computer Engineering PhD Diploma, National Technical University of Athens, 2002

Recent Scopus Publications

  1. Closed-Set vs. Open-Vocabulary Object Detectors for Urban Architectural Typology Classification: A Comparative Study on Athenian Heritage Buildings
    Heritage, 2026
  2. Systemic Data Bias in Real-World AI Systems: Technical Failures, Legal Gaps, and the Limits of the EU AI Act
    Information Switzerland, 2026
  3. Virtual Reality Interventions for Enhancing Executive Functions in Children and Adolescents with Autism Spectrum Disorder
    Algorithms, 2026
  4. HeritageTwin Lite: A GIS-Driven 2D-to-3D Workflow for Digital Twins of Protected Cultural Heritage Building
    Heritage, 2026
  5. RADAR: A Framework for Risk Assessment and Degradation Analysis for Cultural Heritage Buildings Through CFD Modeling
    Heritage, 2026

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