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Mr. Ilias Kalouptsoglou

Research Assistant

  • Diploma of Electrical and Computer Engineer at A.U.T.H. (2019)
I studied at Aristotle University at the Electrical & Computer Engineering Department . My specialization field was Electronics and Computer Engineering and i graduated in November of 2019. My diploma thesis was about the development of a product cluster recommendation system for e-commerce using deep-learning. I trained a neural network capable of predicting the next click of a user. From March until May of 2019 my internship took place at ITI on SD4ED project and i develop machine learning models in order to predict software vulnerabilities and also to forecast technical dept value of later versions.

Recent Publications

Show all (15)

  • I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "Transfer learning for software vulnerability prediction using Transformer models.", Journal of Systems and Software, vol. 227, 2025. https://doi.org/10.1016/j.jss.2025.112448
  • M. Siavvas, G. Xanthopoulou, I. Kalouptsoglou, D. Kehagias, D. Tzovaras, "Digital Transformation of Security Standards: Requirements Extraction using Large Language Models.", in Proceedings of the 11th International Conference on Dependable Systems and Their Applications, (DSA), IEEE, 2024.
  • I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, "Vulnerability prediction using pre-trained models: An empirical evaluation.", in Proceedings of the 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), 2024.
  • M. Siavvas, I. Kalouptsoglou, E. Gelenbe, D. Kehagias, D. Tzovaras, "Transforming the field of Vulnerability Prediction: Are Large Language Models the key?.", in Proceedings of the 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), 2024.
  • I. Kalouptsoglou, M. Siavvas, A. Ampatzoglou, D. Kehagias, A. Chatzigeorgiou, D. Tzovaras, "Vulnerability Classification on Source Code using Text Mining and Deep Learning Techniques.", in Proceedings of the 24th International Conference of Software Quality, Reliability, and Security, IEEE, Cambridge, UK, 2024.
Contact
Mr. Ilias Kalouptsoglou
Building C (Ganas) - Office 1

Information Technologies Institute
Centre of Research & Technology - Hellas
9th km Thessaloniki - Thermi, 57001, Thessaloniki, Greece
Email: iliaskaloup@iti.gr