My main research interests and activities. See also my publications and talks.

Topics

• Natural Language Processing, Text Mining
• Machine Learning, Deep Learning
• Graph Mining, Network Science
• Big Data, Data Science
• Trustworthy and reliable models: robustness, reasoning, interpretability and explainability

Companies

• BLUAI (founder): a Greek AI company which assists in accelerating AI adoption and incorporating novel NLP technologies.
• PrimeHost AI (co-founder): a startup which aims to build an AI superhost for short-term rentals.

Academic service

Reviewing and area chairing:

• 2026: ARR, ICLR, NeurIPS
• 2025: Area Chair at ARR; ICLR
• 2024: ARR
• 2019: LLD @ ICLR, NAACL
• 2018: NIPS, WWW, EMNLP, ECML-PKDD
• 2017: AAAI, LLD @ NIPS, EMNLP
• 2016: AAAI, WSDM, IC²S²

Program committees: Demonstration tracks of EMNLP 2018 and ECML-PKDD 2018.

Code

• Rep the Set: neural networks for learning set representations (AISTATS 2020)
• OMP for Text Classification: orthogonal matching pursuit for text classification (W-NUT @ EMNLP 2018)
• Multi-label Classification with Deep Learning: implementation of the ADIOS paper in Python 3.5 and Keras 2.2.0
• Theano CNN for Text Classification: Python 3.5, supports all datasets, multi-class
• TensorFlow CNN for Text Classification: Python 3.5
• GraKeL: Graph Kernels in Python: Python 2.7 and 3.5 (JMLR 2020)
• Graph-Based Feature Extraction: graph-based term weighting for text categorization, Python 2.7