CV

Education

• MSc in Artificial Intelligence and Data Analytics, University of Macedonia, September 2022 - February 2025
  • Grade: 8.48/10
  • Thesis title: Classification on Multi-label Data with Ordered Labels
    Supervisor professor: Georgios Evangelidis
    This thesis examines the problem of multi-label data classification where the labels of the instances are ordered based on importance. By developing and deploying four different classifiers, each with a distinct approach of classifying data, multiple experiments were conducted in order to evaluate whether our algorithms can produce satisfactory classifications while at the same time taking into consideration the order of the labels.
    Programming languages used: Python
• Applied Informatics (Major: Technology Management), University of Macedonia, September 2018 - September 2022
  • Grade: 8.2/10
  • Certificates acquired:
    Educational and Teaching Competence

Work experience

• Research and Informatics Corps
  • Hellenic Army

Publications

Classification on Multi-label Data with Ordered Labels

Kagias, A., Evangelidis, G. (2026). Classification on Multi-label Data with Ordered Labels. In: Chbeir, R., et al. Management of Digital EcoSystems. MEDES 2024. Communications in Computer and Information Science, vol 2518. Springer, Cham. https://doi.org/10.1007/978-3-031-93598-5_21

Conference presentations

• Classification on Multi-label Data with Ordered Labels
  16th International Conference on Management of Digital Ecosystems, Naples, Italy, November 2024

Skills

Languages

• Greek
  Native
• English
  Michigan Proficiency C2 (full working proficiency)
• German
  Goethe-Zertifikat B1 (limited working proficiency)