Journals

1. C. R. Medentzidis, D. Kapetas, E. M. Pechlivani, "Fungal Disease Detection on Vegetable Crops Using RGB Imaging.", Agriculture, vol. 16, no. 5, February 2026. https://doi.org/10.3390/agriculture16050541

Conference

1. E. M. Pechlivani, C. R. Medentzidis, I. Naounoulis, S. Faliagka, C. Klaridopoulos, N. Katsoulas, "Autonomous Robotic Plant Health Monitoring Using Multispectral Imaging and Deep Learning.", in Proceedings of the GreenSys2027 – International Symposium on Smart and Sustainable Greenhouse Systems, Wageningen, Netherlands, June 6–10, 2027.
2. C. R. Medentzidis, I. Naounoulis, S. Faliagka, I. Vagelas, N. Katsoulas, E. M. Pechlivani, "Advancing Early Diagnosis of Tomato Early and Late Blight: AI-Based Detection of Alternaria solani and Phytophthora infestans.", in Proceedings of the GreenSys2027 – International Symposium on Smart and Sustainable Greenhouse Systems, Wageningen, Netherlands, June 6–10, 2027.
3. C. Medentzidis, I. Naounoulis, S. Faliagka, N. Katsoulas, E. M. Pechlivani, "A Multispectral Imaging Approach for Automated Early Blight Detection in Tomato Leaves.", in Proceedings of the International Horticultural Congress, Kyoto, Japan, August 23-28, 2026.
4. N. Katsoulas, C. Medentzidis, I. Naounoulis, S. Faliagka, E. M. Pechlivani, "A Multispectral Imaging Approach for Automated Early & Late Blight Detection in Greenhouse Tomato.", in Proceedings of the Cirg Eurageng 2026, Turin, Italy, June 24-26, 2026.
5. T. Antamis, C. Medentzidis, M. Skoumperdis, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "AI-supported forecasting of intermodal freighttransportation delivery time.", in Proceedings of the 62nd International Scientific Conference on Information Technology and Management Science, Riga, Latvia, 2021.

Books Chapters

1. M. Skoumperdis, N. Vakakis, M. Diamantaki, C. Medentzidis, D. Karanassos, D. Ioannidis, D. Tzovaras, "A Novel Self-learning Cybersecurity System for Smart Grids.", in Power Systems Cybersecurity, H. Haes Alhelou, N. Hatziargyriou, and Z. Y. Dong, Eds., Power Systems, Cham, Switzerland: Springer, 2023. https://doi.org/10.1007/978-3-031-20360-2_14