Saeed Fathollahzadeh

saeed.fathollahzadeh@concordia.ca
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Office: Database Lab, 2155 Rue Guy, 10th Floor, Montreal, Canada.

I am a Ph.D. student at the Database Lab of Concordia University, working with Prof. Essam Mansour and Prof. Matthias Boehm. I was previously a Ph.D. student at the Data Management for Data Science Laboratory (DAMSLab) of the Graz University of Technology (TU Graz), also supervised by Prof. Matthias Boehm. Before that, I was a Research Assistant in the Database Systems Research Group of the Faculty of Computer Science of the Free University of Bozen-Bolzano. I also have experience as a Research Staff Member in the Distributed Systems Lab of the Computer Engineering Department of the Iran University of Science and Technology.

Interests: The purpose of my research is to study data analytics: how to analyze, store, retrieve, and manipulate large and heterogeneous data sets. My research focuses on systems-oriented problems that arise when developing software to manage and process large and diverse data sets, especially machine learning systems.

Education

Ph.D. [Sep. 2023 - Present], Computer Science, Concordia University, Canada.
Supervisors: Prof. Essam Mansour and Prof. Matthias Boehm
Ph.D. [2021 - Sep. 2023], Computer Science, Graz University of Technology (TU Graz), Austria.
Supervisor: Prof. Matthias Boehm (transferred to Concordia University because of the supervisor moved to TU Berlin)
M.Sc. [2012 - 2014], Software Engineering, Computer Engineering Department of Iran University of Science and Technology, Iran.
Thesis: A Middleware for Distributed Processing of Complex Events
Supervisor: Prof. Mohsen Sharifi

Working Experiences

[April 2021- September 2023], Researcher, Know-Center GmbH Research Center for Data-Driven Business & Big Data Analytics, Graz, Austria.
[March 2020– April 2021], Research Assistant, Database Systems Research Group at the Faculty of Computer Science of the Free University of Bozen-Bolzano, Bolzano, Italy.
[Aug 2017– March 2020], Director of Web Applications, Bimito, Iranian Insurtech, Tehran, Iran.
[2016– 2017], Lead Software Engineer, Bimito, Iranian Insurtech, Tehran, Iran.

Publications

CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines
Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm, PVLDB 2025 18(12).
Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines
Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm, , SIGMOD 2025 (Demo).
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Dias: Dynamic Rewriting of Pandas Code'
Saeed Fathollahzadeh, Maxwell Norfolk, Stefanos Baziotis, Xiaohan Yang, SIGMOD 2024 ARI [report link].
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
Saeed Fathollahzadeh, Matthias Boehm, SIGMOD 2023 [paper, repro, slides, poster].
Real-Time Object Recognition from Streaming LiDAR Point Cloud Data
Sambasiva Rao Gangineni, Harshad Reddy Nalla, Saeed Fathollahzadeh, and Kia Teymourian, DEBS 2019 [paper] (Grand Challenge & Audience Award).
Stateful Complex Event Detection on Event Streams using Parallelization of Event Stream Aggregations and Detection Tasks
Saeed Fathollahzadeh, Kia Teymourian, Mohsen Sharifi, DEBS 2016 [paper].
Parallel Event Processing on Unbound Streams with Multi-Step Windowing
Saeed Fathollahzadeh, Reza Karimi, Mohsen Sharifi, Kia Teymourian, Ahmad Hasan, Adrian Paschke, DEBS 2015 [paper].

Honours and Awards

DEBS'19 Grand Challenge and Grand Challenge Audience Award
1^st Rank, Achieving the highest GPA among all university Computer Engineering Bachelor students.
2^nd Rank, Nationwide M.Sc. entrance exam in Computer Engineering-Computer Software of Iranian Universities (Islamic Azad University of Qazvin competitive with nearly 40,000 participants.

Service

ICDE 2026 (Web Chair)
Program Committee SIGMOD Reproducibility (2024, 2023)
External Reviewer PAKDD 2024

Adapted from a template by Andreas Viklund
Last update: April 30, 2025