Mahdi Esmailoghli

CURRICULUM VITAE

• About me
  I am a Ph.D. student at the Databases and Information Systems research group under the supervision of Prof. Ziawasch Abedjan. 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 current research interest lies in data discovery in data lakes. In particular, I develop systems to efficiently explore large data lakes to enhance the data at hand to train more effective machine learning (ML) models. To this end, I have developed indexes and algorithms to efficiently discover relevant tables from a data lake corpus of hundreds of millions of tables.

   

  Contact:

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

  Website

• Education
  Leibniz Universität Hannover
  Research associate in DataBase Systems group (DBS) under the supervision of Prof. Dr. Ziawasch Abedjan (2020 - Present)

  Technische Universität Berlin
  Research associate in Big Data Management (BigDaMa) group under the supervision of Prof. Dr. Ziawasch Abedjan (2018 - 2020)

  Amirkabir University of Technology (Tehran Polytechnic)
  Master's Degree, Computer Software Engineering · (2015 - 2017)

  Urmia University
  Bachelor’s Degree, Computer Software Engineering · (2010 - 2014)

• Awards & honors

  Distinguished Referee at CIKM, 2023
  Conference on Information and Knowledge Management (CIKM)
  2023, Birmingham, UK

  GI Data Science Challenges First Prize 2023
  Datenbanksysteme für Business, Technologie und Web (BTW) 2023,
  Dresden, Germany

  GI Data Science Challenges First Prize 2019
  Datenbanksysteme für Business, Technologie und Web (BTW) 2019,
  Rostock, Germany

  National university entrance exam exemption award (for M.Sc. degree) due to the top ranks in Computer Olympiads 2014

  Top 1 student based on GPA, in B.Sc degree
  Urmia University, EECS department, 2014

  Ranked #4 in 19th national Computer Olympiad Of Iran
  September 2014

  Ranked #1 in 19th national Computer Olympiad Of Iran semi final
  June 2014

  Ranked #10 in 18th national Computer Olympiad Of Iran
  August 2013

  Ranked #2 in 18th national Computer Olympiad Of Iran semi final
  June 2013

• Publications

  Blend: A Unified Data Discovery System
  Under Submission, link: https://arxiv.org/pdf/2310.02656.pdf

  Demonstrating MATE and COCOA for Data Discovery
  International Conference on Management of Data (SIGMOD) 2023, Seattle, USA

  Duplicate Table Discovery with Xash
  Datenbanksysteme für Business, Technologie und Web (BTW) 2023, Dresden, Germany

  MATE: multi-attribute table extraction
  Very Large Data Bases (VLDB) 2022, Sydney, Australia

  COCOA: COrrelation COefficient-Aware Data Augmentation.
  International Conference on Extending Database Technology (EDBT) 2023, Nicosia, Cyprus, 331-336

  Combining Programming-by-Example with Transformation Discovery from large Databases
  Datenbanksysteme für Business, Technologie und Web (BTW) 2021

  Data Science für alle: Grundlagen der Datenprogrammierung: Ein Data-Science-Kurs für alle Studierenden der TU Berlin
  Informatik Spektrum 43, 2020, 129-136

  CAFE: Constraint-Aware Feature Extraction from Large Databases
  The Conference on Innovative Data Systems Research (CIDR) 2020, Amsterdam, Netherlands

  Particulate matter matters—the data science challenge@ BTW 2019
  Datenbank-Spektrum 19, 165-182

  Explanation of air pollution using external data sources
  BTW 2019–Workshopband

  Design of a Driver Assistant System Based on Vehicular Communications Using Fuzzy Logic
  Quarterly Journal of Transportation Engineering 7 (3), 385-404

• Teaching

  Leibniz Universität Hannover:

  • Big-Data Technologies WS 2023
  • Data Science Foundation SS 2023
  • Big-Data Technologies WS 2022
  • Data Science Foundation SS 2022
  • Advanced Topics in Database Systems WS 2021
  • Advanced Topics in Database Systems SS 2021

  TU Berlin:

  • Data Science Application SS 2020
  • Data Science 1: Essentials of Data Programming WS 2019
  • Data Science 1: Essentials of Data Programming SS 2019
  • Data Science Application SS 2019
  • Data Science Application WS 2018

  Amirkabir University:

  • Data Intensive Computing, TA for Prof. Dr. Amir Payberah associate professor at KTH Royal Institute of Technology, Stockholm, Sweden