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.
Interests: The purpose of my research is to study data analytics—analyzing, storing, retrieving, and manipulating large, heterogeneous datasets. I focus on systems-oriented challenges in developing software for managing and processing such data, particularly in machine learning systems. Specifically:
- Data Management: Focused on efficient processing and system automation
- ML for Data Management: Focused on automatic decomposition of operations
- Database Systems: Focused on query processing and optimization
Education
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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
- [September 2023– Present], Research Assistant, Database Lab , Montreal, Canada.
- [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
- Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm, CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines. PVLDB 2025 (vol. 18) [paper, slides, poster, repro]
- Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm, Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines. SIGMOD 2025 (Demo) [paper, slides, poster, repro]
- Saeed Fathollahzadeh, Maxwell Norfolk, Stefanos Baziotis, Xiaohan Yang, Reproducibility Report for ACM SIGMOD 2024 Paper: 'Dias: Dynamic Rewriting of Pandas Code', SIGMOD 2024 ARI [report link].
- Saeed Fathollahzadeh, Matthias Boehm, GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example, SIGMOD 2023 [paper, repro, slides, poster].
- Sambasiva Rao Gangineni, Harshad Reddy Nalla, Saeed Fathollahzadeh, and Kia Teymourian, Real-Time Object Recognition from Streaming LiDAR Point Cloud Data DEBS 2019 [paper] (Grand Challenge & Audience Award).
- Saeed Fathollahzadeh, Kia Teymourian, Mohsen Sharifi, Stateful Complex Event Detection on Event Streams using Parallelization of Event Stream Aggregations and Detection Tasks, DEBS 2016 [paper].
- Saeed Fathollahzadeh, Reza Karimi, Mohsen Sharifi, Kia Teymourian, Ahmad Hasan, Adrian Paschke, Parallel Event Processing on Unbound Streams with Multi-Step Windowing, DEBS 2015 [paper].
Awards
- DEBS'19 Grand Challenge and Grand Challenge Audience Award
- 1st Rank, Achieving the highest GPA among all university Computer Engineering Bachelor students.
- 2nd 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 (2025, 2024, 2023)
- External Reviewer PAKDD 2024