whoami
whoami
Senior Data Scientist at Ringier, researching and developing end-to-end AI/ML services. I am also deeply interested in the theoretical aspects of AI/ML, optimization techniques, mathematical logic, and programming languages.
I hold a Ph.D. in Artificial Intelligence from the National and Kapodistrian University of Athens in collaboration with the National Center for Scientific Research “Demokritos”. My primary research focus was on advancing techniques for scalable semi-supervised learning of relational patterns tailored to event recognition applications. Throughout my doctoral studies, I actively contributed to several international research projects as a member of the CER Group, working under the guidance of Dr. Georgios Paliouras and Prof. Alexander Artikis.
I joined the CER Group in 2014 where I completed my master thesis “Online Structure Learning for Markov Logic Networks using Background Knowledge Axiomatization”, focusing on the development of structure learning methods for Markov Logic Networks. Prior to my master studies, I received a Diploma from the School of Electrical and Computer Engineering at the Technical University of Crete, where I had been working in the Kouretes RoboCup team, under the mentorship of Prof. Michail G. Lagoudakis.
- Neural-Symbolic Learning
- Neural Program Induction
- Graph Neural Networks
- Statistical Relational Learning
- Online/Continual Learning
- Programming Languages
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Ph.D. in Artificial Intelligence, 2023
National and Kapodistrian University of Athens
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M.Sc. in Computer Engineering, 2016
Technical University of Crete
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Diploma in Computer Engineering, 2014
Technical University of Crete
Experience
Publications
A Framework to Evaluate Early Time-Series Classification Algorithms.
In EDBT, pp. 623–635, OpenProceedings.
Online Semi-Supervised Learning of Composite Event Rules by Combining Structure and Mass-Based Predicate Similarity.
In Machine Learning, 113(3), pp. 1445–1481.
Scalable Semi-Supervised Structure Learning for Event Recognition.
Doctoral Thesis, National and Kapodistrian University of Athens, Greece.
Resource-Effective Exploration of Tumor Treatments with Multi-scale Simulations.
In SETN, pp. 1–10, ACM.
Parallel Model Exploration for Tumor Treatment Simulations.
In Computational Intelligence, pp. 1379–1401 Wiley.
An Empirical Evaluation of Early Time-Series Classification Algorithms.
In EDBT/ICDT Workshops.
Semi-Supervised Online Structure Learning for Composite Event Recognition.
In Machine Learning, 108(7), pp. 1085–1110.
Online Learning of Weighted Relational Rules for Complex Event Recognition.
In ECML/PKDD, pp. 396–413, Springer.