Mahdi Esmailoghli

Researcher at the Database and Information Systems (DBIS) group of Humboldt-Universität zu Berlin (HU).

I am Postdoctoral researcher in the Database and Information Systems (DBIS) group at Humboldt-Universität zu Berlin under the supervision of Prof. Dr. Matthias Weidlich.

I completed my Ph.D. under the supervision of Prof. Dr. Ziawasch Abedjan at TU Berlin with Summa cum laude. During my doctoral studies, my research focused on data discovery in data lakes, in particular, I developed a holistic system to efficiently explore large data lakes to enhance the data at hand to train more effective machine learning (ML) models. I received my M.Sc. degree from Amirkabir University of Technology (Tehran Polytechnic).

My current research focuses on supporting scientific workflow developers by building comprehensive knowledge bases and exploring methods to effectively share insights and expertise gained from existing workflows with new developers across diverse domains.

Address

House 4, Room 204
Rudower Chaussee 25
12489 Berlin, Germany

Contact

esmailoghli (at) tu-berlin.de
Twitter
GitHub
LinkedIn
Google Scholar
YouTube
dblp

Publications & Talks

TU Berlin PDF: "Data discovery in data lakes": Ph.D. Dissertation, Mahdi Esmailoghli, 2024.
ICDE 2025 PDF: "Blend: A Unified Data Discovery System": Mahdi Esmailoghli, Christoph Schnell, Renée J. Miller, Ziawasch Abedjan. 2023.
SIGMOD 2023 PDF: "Demonstrating MATE and COCOA for Data Discovery": Jannis Becktepe, Mahdi Esmailoghli, Maximilian Koch, Ziawasch Abedjan. International Conference on Management of Data. 2023.
BTW 2023 PDF: "Duplicate Table Discovery with Xash": Maximilian Koch, Mahdi Esmailoghli, , Sören Auer, Ziawasch Abedjan. Conference on Database Systems for Business, Technology and Web. 2023.
VLDB 2022 PDF Video Slides Poster Code: "MATE: multi-attribute table extraction": Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan. In Proceedings of the International Conference on Very Large Data Bases. 2022.
EDBT 2021 PDF Video Slides Code: "COCOA: COrrelation COefficient-Aware Data Augmentation.": Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan. International Conference on Extending Database Technology (EDBT). 2021.
BTW 2021 PDF: "Combining Programming-by-Example with Transformation Discovery from large Databases": Aslihan Özmen, Mahdi Esmailoghli, Ziawasch Abedjan. Conference on Database Systems for Business, Technology and Web. 2021.
Informatik Spektrum 2020 PDF: "Data Science für alle: Grundlagen der Datenprogrammierung": Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen. Informatik Spektrum. 2020.
CIDR 2020 PDF: "CAFE: Constraint-Aware Feature Extraction from Large Databases": Mahdi Esmailoghli, Ziawasch Abedjan. The Conference on Innovative Data Systems Research (CIDR). 2020.
Datenbank-Spektrum 2019 PDF Slides: "Particulate matter matters—the data science challenge@ BTW 2019": Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava. Datenbank-Spektrum. 2019.
BTW 2019 PDF: "Explanation of Air Pollution Using External Data Sources": Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl. Conference on Database Systems for Business, Technology and Web. 2019.
JTE 2016 PDF: "Design of a Driver Assistant System Based on Vehicular Communications Using Fuzzy Logic": Mahdi Esmailoghli, Saleh Yousefi. Quarterly Journal of Transportation Engineering. 2016.
Guest Talk: "A Unified Data Discovery System": Mahdi Esmailoghli. Information Systems Group at Hasso Plattner Institute (HPI). May 2024.
TaDA@VLDB 2023: "MATE: Multi-Attribute Table Extraction". Tabular Data Analysis (TaDA) workshop at VLDB. 2023.
Guest Talk: "Scalable Data Discovery For Machine Learning": Mahdi Esmailoghli. Khoury College of Computer Sciences at Northeastern University . 2023.

Academic Service

ICDE 2025 - 41st IEEE International Conference on Data Engineering - PC Member/Reviewer Research Track

IEEE BigData 2024 - IEEE International Conference on Big Data - PC Member/Reviewer Research Track

CIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management - PC Member/Reviewer Research Track

CIKM 2023 - 32nd ACM International Conference on Information and Knowledge Management - PC Member/Reviewer Research Track

Awards

Ph.D., summa cum laude – TU Berlin, 2024

CIKM 2023 - Distinguished Reviewer

GI Data Science Challenges at BTW 2023 - First Prize

GI Data Science Challenges at BTW 2019 - First Prize

National university entrance exam exemption award (for M.Sc. degree)

Top 1 student based on GPA, in B.Sc degree

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

Education

Technische Universität Berlin - Research associate in the Data Integration and Data Preparation group (D2IP) under the supervision of Prof. Dr. Ziawasch Abedjan (2024 - Present)

Leibniz Universität Hannover - Research associate in DataBase Systems group (DBS) under the supervision of Prof. Dr. Ziawasch Abedjan (2020 - 2024)

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 UniversityBachelor’s Degree, Computer Software Engineering (2010 - 2014)

Teaching

TU Berlin

Programmierpraktikum: Datensysteme SS 2024

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 of Technology (Tehran Polytechnic)

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