Our Publications

Our Research Publications

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The quality of a team's research publications is determined by their accuracy, reliability, and impact on their field.

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Serious game development for the diagnosis of major depressive disorder cases using machine learning methods

Tsionas, A., Lazaridis, A., & Vlahavas, I. (2020). Serious game development for the diagnosis of major depressive disorder cases using machine learning methods. Proceedings of the GAITCS, 2020, 2-4.

Serious Games
Conference
Conference
Educational Story-Based Game for Capturing the Learner's Personality

Tsionas, A., & Satratzemi, M. (2023, September). Educational Story-Based Game for Capturing the Learner's Personality. In European Conference on Games Based Learning (Vol. 17, No. 1, pp. 693-699).

Serious Games
Conference
Conference
Classification of Barriers to Digital Transformation in Higher Education Institutions: Systematic Literature Review 
Gkrimpizi, T., Peristeras, V., & Magnisalis, I. (2023). Classification of Barriers to Digital Transformation in Higher Education Institutions: Systematic Literature Review. Education Sciences, 13(7), 746. https://doi.org/10.3390/educsci13070746
Digital Transformation
Journal Article
Journal Article
Knowledge-driven Unsupervised Skills Extraction for Graph-based Talent Matching

Konstantinidis, I., Maragoudakis, M., Magnisalis, I., Berberidis, C., & Peristeras, V. (2022, September). Knowledge-driven Unsupervised Skills Extraction for Graph-based Talent Matching. In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (pp. 1-7). ISO 690

Machine Learning - Natural Language Processing - Knowledge Graphs
Inproceedings
Inproceedings
Characteristics and challenges in the industries towards responsible AI: a systematic literature review

Anagnostou, M., Karvounidou, O., Katritzidaki, C., Kechagia, C., Melidou, K., Mpeza, E., ... & Peristeras, V. (2022). Characteristics and challenges in the industries towards responsible AI: a systematic literature review. Ethics and Information Technology, 24(3), 37. ISO 690

Machine Learning
Journal Article
Journal Article
E-Government and COVID-19: An empirical study in Greece

Chatzopoulou, C., Tsolkanakis, D., Vasileiadou, S. M., Kyriakidis, K., Skoutzouri, K., Kirtikidou, D., ... & Peristeras, V. (2022, April). E-Government and COVID-19: An empirical study in Greece. In Metadata and Semantic Research: 15th International Conference, MTSR 2021, Virtual Event, November 29–December 3, 2021, Revised Selected Papers (pp. 307-321). Cham: Springer International Publishing.

eGovernment
Conference
Conference
Doc2KG: Transforming document repositories to knowledge graphs

Stylianou, N., Vlachava, D., Konstantinidis, I., Bassiliades, N., & Peristeras, V. (2022). Doc2KG: Transforming document repositories to knowledge graphs. International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-20.

Semantic Web - Knowledge Graphs
Journal Article
Journal Article
Fostering a Data-Centric Public Administration: Strategies, Policy Models and Technologies

Mureddu, F., Osimo, D., Kenny, A., Upson, M., & Peristeras, V. (2022). Fostering a Data-Centric Public Administration: Strategies, Policy Models and Technologies. In Scientific Foundations of Digital Governance and Transformation: Concepts, Approaches and Challenges (pp. 217-244). Cham: Springer International Publishing.

Public Sector Innovation
Journal Article
Journal Article
Webometric Network Analysis of Cybersecurity Cooperation

Koulas, E., Shah, S. I. H., & Peristeras, V. (2022, July). Webometric Network Analysis of Cybersecurity Cooperation. In Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume 1 (pp. 103-122). Cham: Springer International Publishing.

Business Information Systems - Data Analysis
Inproceedings
Inproceedings
Barriers to digital transformation in higher education institutions 

Gkrimpizi, T., & Peristeras, V. (2022, October). Barriers to digital transformation in higher education institutions. In Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance (pp. 154-160).

eGovernment - Digital Transformation
Inproceedings
Inproceedings

Our Team

Meet Our Expert Team

Meet our highly skilled and experienced team, dedicated to delivering innovative solutions and exceptional results.
Faculty Member
Main Research Interests: Business Information Systems, eGovernment, Digital Transformation, Public Sector Innovation, eParticipation, Interoperability, Open Data, Linked Data, Semantic Web, eCommerce
Team Role: Director
Research Associate
Main Research Interests: eGovernment, Open Data, Linked Data, Semantic Web, Business Semantic Standards, Metadata, Data Analysis, e-Learning
Team Role: Manager
Faculty Member, Research Associate
Main Research Interests: Data Analysis, Data Mining, Deep Learning, Machine Learning, Natural Language Processing, Disinformation - Fake News
Team Role: Coordinator
Research Associate
Main Research Interests: eGovernment, Digital Transformation
Team Role: Coordinator, Researcher
Research Associate
Main Research Interests: eGovernment, Public Sector Innovation, Machine Learning
Team Role: Researcher
PhD Candidate
Main Research Interests: eGovernment, Public Sector Innovation, Open Data
Team Role: Researcher
Research Associate
Main Research Interests: eGovernment, Data Analysis, Machine Learning, Natural Language Processing, Disinformation - Fake News, Digital Marketing
Team Role: Coordinator, Researcher
PhD Candidate
Main Research Interests: Deep Learning, Machine Learning, Natural Language Processing, Knowledge Graphs
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: Open Data, Linked Data, Semantic Web, Data Mining, Machine Learning, Natural Language Processing
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: Digital Transformation, Semantic Web, Machine Learning, Natural Language Processing
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: eGovernment, Data Analysis, Deep Learning, Machine Learning, Natural Language Processing, eCommerce
Team Role: Researcher
PhD Candidate
Main Research Interests: Data Analysis, Artificial Inteligence, Game-Based Learning, Digital Education, Serious Games
Team Role: Researcher

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