Christos-Nikolaos Anagnostopoulos

@ct.aegean.gr

Cultural Technology and Communication
University of the Aegean

Christos-Nikolaos Anagnostopoulos
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 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

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Science Applications
204

Scopus Publications

6577

Scholar Citations

33

Scholar h-index

91

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Closed-Set vs. Open-Vocabulary Object Detectors for Urban Architectural Typology Classification: A Comparative Study on Athenian Heritage Buildings
    K Filippatos, K Siountri, CN Anagnostopoulos
    Heritage , 2026
    2026
  • Cross-environmental 3D reconstruction: a novel framework for terrestrial and underwater adaptation
    A Vrochidis, A Dimara, S Krinidis, CN Anagnostopoulos, D Tzovaras
    Multimedia Tools and Applications 85 (5), 492 , 2026
    2026
  • Systemic Data Bias in Real-World AI Systems: Technical Failures, Legal Gaps, and the Limits of the EU AI Act
    T Falelakis, A Dimara, CN Anagnostopoulos
    Information 17 (4), 326 , 2026
    2026
    Citations: 2
  • HeritageTwin Lite: A GIS-Driven 2D-to-3D Workflow for Digital Twins of Protected Cultural Heritage Building
    A Dimara, M Stogia, C Papaioannou, A Papaioannou, S Krinidis, ...
    Heritage 9 (3), 121 , 2026
    2026
  • RADAR: A Framework for Risk Assessment and Degradation Analysis for Cultural Heritage Buildings Through CFD Modeling
    A Dimara, M Pantusheva, NA Stefanis, O Eleftheriou, R Mitkov, ...
    Heritage 9 (3), 112 , 2026
    2026
  • Virtual Reality Interventions for Enhancing Executive Functions in Children and Adolescents with Autism Spectrum Disorder
    A Sideraki, CN Anagnostopoulos
    Algorithms 19 (3), 201 , 2026
    2026
  • ASMR and Virtual Reality Relaxation
    N Kapogianni, Α Sideraki, CN Anagnostopoulos
    Proc. of 16th International Conference on Information, Intelligence, Systems … , 2026
    2026
  • Classification of Athenian Architectural Typology with YOLO-Based Neural Networks
    K Filippatos, K Siountri, CN Anagnostopoulos
    4th International Conference on Transdisciplinary Multispectral Modelling … , 2026
    2026
    Citations: 1
  • Enhancing the executive functions of children and adolescents with Autism Spectrum Disorder using Virtual Reality
    A Sideraki, A Gena, CN Anagnostopoulos
    2025 20th International Workshop on Semantic and Social Media Adaptation and … , 2026
    2026
  • Personalized thermal comfort modeling through genetic algorithm
    A Dimara, CN Anagnostopoulos, S Krinidis, D Tzovaras
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 … , 2025
    2025
    Citations: 5
  • It’s a Global Issue: AI, Digital Transformation, and Governance - Mapping the Landscape for the Future of the Higher Education Communities
    G Roussos, A Agorogianni, I Salmatzidis, T Tsiatsos, P Maltusch, ...
    EpiC Series in Computing, Proceedings of EUNIS 2025 annual congress in … , 2025
    2025
    Citations: 2
  • ENACT: Energy-aware, actionable twin utilizing prescriptive techniques in home appliances
    M Stogia, A Dimara, C Papaioannou, O Eleftheriou, A Papaioannou, ...
    Smart Cities 8 (5), 155 , 2025
    2025
    Citations: 2
  • EnergiQ: A Prescriptive Large Language Model-Driven Intelligent Platform for Interpreting Appliance Energy Consumption Patterns
    C Papaioannou, I Tzitzios, A Papaioannou, A Dimara, ...
    Sensors 25 (16), 4911 , 2025
    2025
    Citations: 2
  • Using smartwatches in stress management, mental health, and well-being: A systematic review
    NA Kapogianni, A Sideraki, CN Anagnostopoulos
    Algorithms 18 (7), 419 , 2025
    2025
    Citations: 21
  • Data Modelling for Multi-level Energy Systems: A Practical Framework from Buildings to Cities
    I Tzitzios, A Dimara, C Papaioannou, A Papaioannou, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2025
    2025
  • Beyond 3D: A Multi-dimensional Approach to BIM for Smart and Sustainable Buildings
    M Stogia, A Dimara, C Papaioannou, CN Anagnostopoulos, S Krinidis
    IFIP International Conference on Artificial Intelligence Applications and … , 2025
    2025
  • Interactive 2D Design: A User Friendly Grid-Based Approach for Smart Digital Twins
    C Papaioannou, A Dimara, I Tzitzios, M Stogia, CN Anagnostopoulos, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2025
    2025
    Citations: 1
  • The Role of IoT and 3D Modeling in Shaping Industry 5.0
    M Stogia, A Dimara, A Papaioannou, CN Anagnostopoulos, K Kotis, ...
    IFIP International Conference on Artificial Intelligence Applications and … , 2025
    2025
    Citations: 3
  • The use of Artificial Intelligence for Intervention and Assessment in Individuals with ASD
    A Sideraki, CN Anagnostopoulos
    arXiv preprint arXiv:2505.02747 , 2025
    2025
    Citations: 4
  • MAS-DR: An ML-Based Aggregation and Segmentation Framework for Residential Consumption Users to Assist DR Programs
    P Tzallas, A Papaioannou, A Dimara, N Bezas, I Moschos, ...
    Sustainability 17 (4), 1551 , 2025
    2025
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • A license plate-recognition algorithm for intelligent transportation system applications
    CNE Anagnostopoulos, IE Anagnostopoulos, V Loumos, E Kayafas
    IEEE Transactions on Intelligent transportation systems 7 (3), 377-392 , 2006
    2006
    Citations: 1122
  • License plate recognition from still images and video sequences: A survey
    CNE Anagnostopoulos, IE Anagnostopoulos, ID Psoroulas, V Loumos, ...
    IEEE Transactions on intelligent transportation systems 9 (3), 377-391 , 2008
    2008
    Citations: 978
  • Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
    CN Anagnostopoulos, T Iliou, I Giannoukos
    Artificial Intelligence Review 43 (2), 155-177 , 2015
    2015
    Citations: 600
  • Vehicle logo recognition using a sift-based enhanced matching scheme
    AP Psyllos, CNE Anagnostopoulos, E Kayafas
    IEEE transactions on intelligent transportation systems 11 (2), 322-328 , 2010
    2010
    Citations: 307
  • Vehicle model recognition from frontal view image measurements
    A Psyllos, CN Anagnostopoulos, E Kayafas
    Computer Standards & Interfaces 33 (2), 142-151 , 2011
    2011
    Citations: 180
  • A smarter health through the internet of surgical things
    F Mulita, GI Verras, CN Anagnostopoulos, K Kotis
    Sensors 22 (12), 4577 , 2022
    2022
    Citations: 179
  • Operator context scanning to support high segmentation rates for real time license plate recognition
    I Giannoukos, CN Anagnostopoulos, V Loumos, E Kayafas
    Pattern Recognition 43 (11), 3866-3878 , 2010
    2010
    Citations: 124
  • A mobile agent platform for distributed network and systems management
    D Gavalas, GE Tsekouras, C Anagnostopoulos
    Journal of Systems and Software 82 (2), 355-371 , 2009
    2009
    Citations: 100
  • License plate recognition: A brief tutorial
    CNE Anagnostopoulos
    IEEE Intelligent transportation systems magazine 6 (1), 59-67 , 2014
    2014
    Citations: 97
  • The role of deep learning in diagnosing colorectal cancer
    D Bousis, GI Verras, K Bouchagier, A Antzoulas, I Panagiotopoulos, ...
    Gastroenterology Review, DOI: https://doi.org/10.5114/pg.2023.129494 , 2023
    2023
    Citations: 92
  • Comparison of different classifiers for emotion recognition
    T Iliou, CN Anagnostopoulos
    2009 13th Panhellenic Conference on Informatics, 102-106 , 2009
    2009
    Citations: 82
  • A computer vision approach for textile quality control
    C Anagnostopoulos, D Vergados, E Kayafas, V Loumos, ...
    The Journal of Visualization and Computer Animation 12 (1), 31-44 , 2001
    2001
    Citations: 76
  • Statistical evaluation of speech features for emotion recognition
    T Iliou, CN Anagnostopoulos
    2009 fourth international conference on digital telecommunications, 121-126 , 2009
    2009
    Citations: 74
  • Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?
    DD Chlorogiannis, GI Verras, V Tzelepi, A Chlorogiannis, A Apostolos, ...
    Gastroenterology Review , 2023
    2023
    Citations: 71
  • A novel machine learning data preprocessing method for enhancing classification algorithms performance
    T Iliou, CN Anagnostopoulos, M Nerantzaki, G Anastassopoulos
    Proceedings of the 16th International Conference on Engineering Applications … , 2015
    2015
    Citations: 71
  • Osteoporosis detection using machine learning techniques and feature selection
    T Iliou, CN Anagnostopoulos, G Anastassopoulos
    international journal on artificial intelligence tools 23 (05), 1450014 , 2014
    2014
    Citations: 65
  • Classifying Web pages employing a probabilistic neural network
    I Anagnostopoulos, C Anagnostopoulos, V Loumos, E Kayafas
    IEE Proceedings-Software 151 (3), 139-150 , 2004
    2004
    Citations: 60
  • A novel data preprocessing method for boosting neural network performance: a case study in osteoporosis prediction
    T Iliou, CN Anagnostopoulos, IM Stephanakis, G Anastassopoulos
    Information Sciences 380, 92-100 , 2017
    2017
    Citations: 59
  • Intelligent modification for the daltonization process of digitized paintings
    CN Anagnostopoulos, G Tsekouras, I Anagnostopoulos, C Kalloniatis
    International Conference on Computer Vision Systems: Proceedings , 2007
    2007
    Citations: 55
  • The classification of cultural heritage buildings in athens using deep learning techniques
    K Siountri, CN Anagnostopoulos
    Heritage 6 (4), 3673-3705 , 2023
    2023
    Citations: 51