Clustering data stream: A survey of algorithms. - Alireza Rezaei Mahdiraji (Int. J. Knowl. Based Intell. Eng. Syst., 2009)

Egidio: A non-invasive approach for synthesizing organizational models. - Saulius Astromskis; Andrea Janes; Alireza Rezaei Mahdiraji (ICSE, 2012)

Knowledge Extraction from Events Flows. - Alireza Rezaei Mahdiraji; Bruno Rossi 001; Alberto Sillitti; Giancarlo Succi (ArtDeco, 2012)

ImG-complex: graph data model for topology of unstructured meshes. - Alireza Rezaei Mahdiraji; Peter Baumann 001; Guntram Berti (CIKM, 2013)

Database Support for Unstructured Meshes. - Alireza Rezaei Mahdiraji (Proc. VLDB Endow., 2013)

Toward unstructured mesh algebra and query language. - Alireza Rezaei Mahdiraji (SIGMOD PhD Symposium, 2014)

Processing scientific mesh queries in graph databases. - Alireza Rezaei Mahdiraji; Peter Baumann 001 (WWW (Companion Volume), 2014)

MQuery: A query language for scientific meshes. - Alireza Rezaei Mahdiraji; Peter Baumann 001 (IEEE BigData, 2015)

Using Graph Traversal in Scientific Data Interpolation. - Alireza Rezaei Mahdiraji; Peter Baumann 001 (EDBT/ICDT Workshops, 2015)

A Query Language for Scientific Meshes. - Alireza Rezaei Mahdiraji (2015)

Big Data Analytics for Earth Sciences: the EarthServer approach. - Peter Baumann 001; Paolo Mazzetti; Joachim Ungar; Roberto Barbera; Damiano Barboni; Alan Beccati; Lorenzo Bigagli; Enrico Boldrini; Riccardo Bruno; Antonio Calanducci; Piero Campalani; D. Oliver Clements; et al. (Int. J. Digit. Earth, 2016)

PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. - Bonaventura Del Monte; Jeyhun Karimov; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl (EDBT/ICDT Workshops, 2017)

Continuous Deployment of Machine Learning Pipelines. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl (EDBT, 2019)

Optimizing Machine Learning Workloads in Collaborative Environments. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

ExDRa: Exploratory Data Science on Federated Raw Data. - Sebastian Baunsgaard; Matthias Boehm 001; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; et al. (SIGMOD Conference, 2021)

Continuous Training and Deployment of Deep Learning Models. - Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl (Datenbank-Spektrum, 2021)

Materialization and Reuse Optimizations for Production Data Science Pipelines. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2022)

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. - Lennart Behme; Saravanan Thirumuruganathan; Alireza Rezaei Mahdiraji; Jorge-Arnulfo Quiané-Ruiz; Volker Markl (ICDE, 2023)