I am a PhD Student at Université Grenoble Alpes and a research associate at the Athena Research and Innovation Center, under the supervision of Dr. Georgia Koutrika and Prof. Sihem Amer-Yahia. My work focuses on using Deep Learning and Natural Language Processing techniques to make data open and accessible to users without technical knowledge and is part of the INODE and FAIR Core 4 EOSC projects, funded by the EU. During the past few years, my work has resulted in 5 tutorials presented at major conferences [EDBT’21, SIGMOD’21, TWC’22, WSDM’23, VLDB’23], one query explanation system [eQsplain] that has been integrated into the INODE project, and a survey studying the fast-paced research area of deep learning text-to-SQL [VLDBJ’23].
My MSc degree was in Data Science and Information Technologies, with a specialization in Artificial Intelligence, at the University of Athens. My MSc thesis is titled “Data Democratisation with Deep Learning: Structured Query Translation from and to Natural Language”. Before that, I was studying towards my BSc degree in Computer Science at the University of Athens, where I completed my BSc thesis, titled “Translating Natural Language to SQL using Deep Learning”.
|Nov 20, 2023||ScienceBenchmark has been accepted at VLDB’24! This is a joint work with ZHAW on Text-to-SQL benchmarking and data augmentation for complex scientific DBs.|
|May 25, 2023||Our tutorial (with M. Xydas and G. Koutrika) titled “Natural Language Interfaces for Databases with Deep Learning” has been accepted at VLDB’23!|
|Apr 11, 2023||I successfully defended his MSc thesis on “SQL Translation from and to Natural Language”!|
|Mar 1, 2023||Our vision paper (with C. Tsapelas and G. Koutrika) on NL Data Interfaces was adccepted at the BigVis Workshop, held in conjunction with EDBT/ICDT 2023.|
|Nov 7, 2022||Our tutorial, titled “Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface”, has been accepted at WSDM’23!|
VLDBJA survey on deep learning approaches for text-to-SQLThe VLDB Journal, 2023
SIGMODA Deep Dive into Deep Learning Approaches for Text-to-SQL SystemsIn Proceedings of the 2021 International Conference on Management of Data, 2021