Mahdi Esmailoghli


  • About me

    I am a Ph.D. student at the Databases and Information Systems research group. I received my M.Sc. degree from Amirkabir University of Technology (Tehran Polytechnic). I worked on distributed and unsupervised anomaly detection and explanation systems in the healthcare domain as my master thesis.

    My main research interests are Large scale information discovery, data enrichment for machine learning pipelines, outlier detection, and data explanation.

    I am currently working on efficient index structures for fast data discovery in order to increase the accuracy of machine learning pipelines.



    esmailoghi ( at ) dbs ( dot ) uni-hannover ( dot ) de

  • Education

    2018 - 2020

    PhD student at TU Berlin

    2015 - 2017

    M.Sc. Amirkabir University of Technology (Tehran Polytechnic)


    B.Sc. Urmia University

  • Awards & honors
    • First prize of the GI Data Science Challenge, BTW 2019, "Explanation of Air Pollution Using External Data Sources." with Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ariane Ziehn, Ziawasch Abedjan, Tilmann Rabl, Volker Markl
    • Ranked #4 in 19th national Computer Olympiad Of Iran - September 2014
    • Ranked #10 in 18th national Computer Olympiad Of Iran - August 2013
    • Ranked #1 based on GPA, in B.Sc. student of Urmia University EECS - 2014
  • Publications
    • Abedjan, Ziawasch, et al. "Data Science for Everyone: Basics of Data Programming." Computer Science Spectrum (2020): 1-8.
    • Esmailoghli, Mahdi, and Ziawasch Abedjan. "CAFE: Constraint-Aware Feature Extraction from Large Databases."
    • Meyer, Holger J., et al. "Particulate Matter Matters—The Data Science Challenge@ BTW 2019." Datenbank-Spektrum 19.3 (2019): 165-182.
    • Esmailoghli, Mahdi, et al. "Explanation of air pollution using external data sources." BTW 2019–Workshopband (2019).
    • Esmailoghli, Mahdi, Yousefi Saleh, "Design of a Driver Assistant System Based on Vehicular Communications Using Fuzzy Logic", Journal of Transportation Engineering 2016, pp.385-404.