Biography
Charalampos Davalas received the Diploma degree in Mathematics from the National and Kapodistrian University of Athens, Greece, in 2016, the M.Sc. degree in Informatics and Telematics from Harokopio University of Athens in 2018, and the Ph.D. degree in Machine Learning and Deep Learning from the same institution in 2025. His doctoral dissertation focused on adaptations of rehearsal methods for online continual learning.
He has participated in several national and European research projects, including graph matching in cloud computing environments, human-centric autonomous computing systems (TEACHING), Earth system deep learning for seasonal fire forecasting (SeasFire and SeasFire2), advanced mechatronic systems for circular economy applications (R3-Mydas), and technologies for substance detection and violence prevention (ARMADILLO). He is currently involved in applied geoinformatics and interdisciplinary AI-driven research.
His research interests include machine learning, deep learning, continual learning, and applied artificial intelligence systems.
Publications
Michail, Dimitrios, Charalampos Davalas, Konstantinos Chafis, Lefki-Ioanna Panagiotou, Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos και Ioannis Papoutsis (2025). “FireCastNet: earth-as-a-graph for seasonal fire prediction”. Scientific Reports. doi: https://doi.org/10.1038/s41598-025-30645-7.
Politi, Elena, Charalampos Davalas, Christos Chronis, George Dimitrakopoulos, Dimitrios Michail και Iraklis Varlamis (2025). “Real-Time quality monitoring and anomaly detection for vision sensors in connected and autonomous vehicles”. IEEE Access. doi: 10.1109/ACCESS.2025.3536524.
Davalas, Charalampos, Dimitrios Michail, Christos Diou, Iraklis Varlamis και Konstantinos Tserpes (2024). “A rehearsal framework for computational efficiency in online continual learning”. Στο: Applied Intelligence 54.8, 6383–6399. doi: 10.1007/s10489-024-05493-z.
Davalas, Charalampos, Dimitrios Michail, Christos Diou, Iraklis Varlamis και Konstantinos Tserpes (2022). “Computationally efficient rehearsal for online continual learning”. Στο: International conference on image analysis and processing. Springer International Publishing Cham, 39–49. doi: 10.1007/978-3-031-06433-3_4.
Bacciu, Davide, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà,
Massimo Coppola κ.ά. (2021). “Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence”. 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS). IEEE, 1–6. doi: 10.1109/COINS51742.2021.9524099.
Macher, Georg, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou κ.ά. (2021). “Dependable integration concepts for human-centric AI-based systems”. International Conference on Computer Safety, Reliability, and Security. Springer International Publishing Cham, 11–23. doi: 10.1007/978-3-030-83906-2_1.
Davalas, Charalampos, Dimitrios Michail και Iraklis Varlamis (2019). “Graph matching on social networks without any side information”. 2019 IEEE International
Conference on Big Data (Big Data). IEEE, σσ. 1060–1065. doi: 10.1109/BigData47090.2019.9006158.
