George Katsogiannis

PhD Student @ UGA & DARE Lab/ARC

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I am a PhD Student at Université Grenoble Alpes (UGA) in co-supervision by UGA and Athena Research Center (ARC), under the supervision of Dr. Georgia Koutrika and Dr. Sihem Amer-Yahia. I have also worked as an intern at IBM Research Europe. My work focuses on using Artificial Intelligence and Natural Language Processing techniques to make data open and accessible to users without technical knowledge.

During my 4+ years of research experience, my work has resulted in multiple publications and tutorials [EDBT’21, SIGMOD’21, TWC’22, WSDM’23, VLDB’23] presented at major conferences, and has been part of EU funded projects [INODE, FAIRCORE4EOSC] where I have developped and integrated systems for Data Management and NLP problems such as Text-to-SQL and Query Explanations.

Prior to my doctoral studies I obtained my MSc degree in Data Science and Information Technologies, with a specialization in Artificial Intelligence, from 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 received my BSc degree in Computer Science from the University of Athens, where I completed my BSc thesis, titled “Translating Natural Language to SQL using Deep Learning”.

news

May 1, 2024 I am very excited to be joining IBM Research, Zurich for a 4 month internship! 🎉
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 accepted at the BigVis Workshop, held in conjunction with EDBT/ICDT 2023.

selected publications

  1. VLDBJ
    A survey on deep learning approaches for text-to-SQL
    George Katsogiannis-Meimarakis, and Georgia Koutrika
    The VLDB Journal, 2023
  2. SIGMOD
    A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems
    George Katsogiannis-Meimarakis, and Georgia Koutrika
    In Proceedings of the 2021 International Conference on Management of Data, 2021