About Me

  • Full Name:Alexandros Zeakis
  • Email:alzeakis at gmail.com

Hello There!

I am a PhD candidate at IMSI, Athena Research Center and National Kapodistrian University of Athens (NKUA). I hold a BSc in Informatics from NKUA and an MSc in Data Science from Athens University of Economics and Business (AUEB). My research interests primarily focus on Similarity Search and Entity Resolution. During my PhD I have published research papers in high-esteemed conferences (VLDB) and have worked in EU-funded projects (SmartDataLake, STELAR).

In my spare time, I am passionate about folk dances and improvisation theater.

My Resume

  • Work Experience

  • PhD Candidate

    "Athena"​ Research and Innovation Center - Dec 2020 - Current

    Thesis title: Similarity Search in Heterogeneous Information Networks.

  • Research Software Engineer

    "Athena"​ Research and Innovation Center - May 2019 - May 2020

    Creating ETL processes for the creation of Heterogeneous Information Networks, implementating & optimizing of state-of-art algorithms and developing novel algorithms for Set & String Similarity Join.

  • Junior Web Developer

    Upthink - Feb 2018 - Mar 2019

    Utilizing WordPress, Writing custom scripts (HTML5, CSS3, JavaScript, jQuery) for front-end and coding in PHP & SQL for back-end development.

  • Capstone Student

    National Bank of Greece - Sep 2018 - Dec 2018

    MSc Thesis: Anomaly Detection on System Logs with Graph Analytics.

  • Intern

    NCSR Demokritos - Jul 2016 - Oct 2016

    BSc Thesis: Author Profiling in Social Media using Topic Modeling Methods and Ensembling in Data Science.


  • Education

  • Computer Science (PhD)

    National and Kapodistrian University of Athens - 2020 - Current

  • Data Science (MSc)

    Athens University of Economics and Business - 2017 - 2018

    Grade: 9.23 (Excellent)

    Ranked 3rd amongst graduates.

  • Informatics and Telecommunication (BSc)

    National and Kapodistrian University of Athens - 2012 - 2016

    Grade: 8.51 (Excellent)

    Specialization in Software and Data & Knowledge Management.

Research Interests

Similarity Search

Finding items similar to a query in a dataset.

Entity Matching

Identifying equivalent entities across datasets or sources.

Similarity Joins

Identifying pairs of records with similar characteristics across datasets or within a dataset.

Skills

Python95%
Java93%
HTML/CSS80%
C/C++70%
SQL85%
Docker80%
SPARQL85%
Airflow95%

MLFlow80%

Plotly90%

Dash95%

Spark70%

Seaborn85%

Streamlit85%

Publications

    2025

  1. An in-depth analysis of pre-trained embeddings for entity resolution

    A Zeakis, G Papadakis, D Skoutas, M Koubarakis
    The VLDB Journal, 34(1), 1-27

  2. 2023

  3. Self-configured Entity Resolution with pyJedAI

    V Efthymiou, E Ioannou, M Karvounis, M Koubarakis, J Maciejewski, K Nikoletos, G Papadakis, D Skoutas, Y Velegrakis, A Zeakis.
    2023 IEEE International Conference on Big Data (BigData), 339-343

  4. Pre-trained embeddings for entity resolution: An experimental analysis

    A Zeakis, G Papadakis, D Skoutas, M Koubarakis
    Proceedings of the VLDB Endowment 16 (9), 2225-2238

  5. 2022

  6. TokenJoin: Efficient Filtering for Set Similarity Join with Maximum Weighted Bipartite Matching

    A Zeakis, D Skoutas, D Sacharidis, O Papapetrou, M Koubarakis
    Proceedings of the VLDB Endowment 16 (4), 790-802

  7. 2021

  8. Multi-Attribute Similarity Search for Interactive Data Exploration.

    K Patroumpas, A Zeakis, D Skoutas, R Santoro
    EDBT/ICDT Workshops

  9. 2020

  10. SPHINX: a system for metapath-based entity exploration in heterogeneous information networks

    S Chatzopoulos, K Patroumpas, A Zeakis, T Vergoulis, D Skoutas
    Proceedings of the VLDB Endowment 13 (12), 2913-2916