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Mr. Panagiotis Christakakis

Research Assistant

  • BSc in Applied Informatics, University of Macedonia (2021)
  • MSc studies in Artificial Intelligence and Data Analytics, University of Macedonia (2022 - now)

Christakakis Panagiotis graduated from the Department of Applied Informatics, University of Macedonia in 2021. Currently, he is pursuing a Master’s degree in Artificial Intelligence and Data Analytics at the University of Macedonia, where he is working on his thesis which focuses on cancer detection from MRI scans using Artificial Intelligence. Deep Learning, Computer Vision and in general the fields revolving around Machine Learning are his main research interests.

Recent Publications

Show all (14)

  • P. Christakakis, E. Kalogeropoulou, D. Kapetas, E. M. Pechlivani, "Deep Learning Meets qPCR: Detecting Fungal Plant Diseases.", in Proceedings of the 10th International Conference on Energy Efficiency & Agricultural Engineering (EE&AE), Stara Zagora, Bulgaria, November 05-07, 2025, pp. 1-7, doi: 10.1109/EEAE65901.2025.11273671
  • P. Christakakis, P. Dimou, P. Symeonidis, D. Ioannidis, D. Tzovaras, E. M. Pechlivani, "Synthetic Dataset for AI-Driven Photovoltaic Fault and Damage Detection via UAV Thermal Imaging.", in Proceedings of the 10th International Conference on Energy Efficiency & Agricultural Engineering (EE&AE), Stara Zagora, Bulgaria, November 05-07, 2025, pp. 1-7, doi: 10.1109/EEAE65901.2025.11273362
  • E. Kalogeropoulou, P. Christakakis, D. Kapetas, C. Klaridopoulos, E. M. Pechlivani, "Early Detection of Botrytis cinerea in Horticultural Crops Using Deep Learning Segmentation, Transformer-Based Classification, and Molecular Validation.", in Proceedings of the 17th Congress of the Mediterranean Phytopathological Union, Bari, Italy, July 6-10, 2025.
  • D. Kapetas, P. Christakakis, S. Faliagka, N. Katsoulas, E. M. Pechlivani, "AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses.", AgriEngineering, vol. 7, no. 2, pp. 29, 2025. https://doi.org/10.3390/agriengineering7020029
  • D. Kapetas, E. Kalogeropoulou, P. Christakakis, C. Klaridopoulos, E. M. Pechlivani, "Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of Botrytis cinerea Infection on Pepper Plants.", Agriculture, vol, 15, no. 2, pp. 164, 2025. https://doi.org/10.3390/agriculture15020164
Contact
Mr. Panagiotis Christakakis

Information Technologies Institute
Centre of Research & Technology - Hellas
Email: christakakis@iti.gr