1.	Farzad Rezazadeh P, Emad Olfatbakhsh, Andreas Kroll: Sign Diversity: A Method for Measuring Diversity in Base Learner Selection for Ensemble Regression, 2025 IEEE Symposium Series on Computational Intelligence (SSCI), 2025

   2.	Farzad Rezazadeh P, Amin Abrishambaf, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: Investigating Reproducibility of Ultra-High Performance Concrete with Consistent Mechanical Properties: A Modeling Pipeline for Sparse Data in Complex Manufacturing, 34. Workshop Computational Intelligence, 143--148, KIT Scientific Publishing, 10.5445/KSP/1000174544, https://doi.org/10.5445/KSP/1000174544, 2024

   3.	Farzad Rezazadeh P, Amin Abrishambaf, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: An Automated Modeling Pipeline for Investigating Consistency in the Mechanical Properties of Ultra-High Performance Concrete, Engineering Applications of Artificial Intelligence, 2024

   4.	Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design Fresh Concrete Properties and Curing Conditions, 33. Workshop Computational Intelligence, 215--237, KIT Scientific Publishing, 10.5445/KSP/1000162754, https://doi.org/10.5445/KSP/1000162754, 2023

   5.	Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: Leveraging Ensemble Structures to Elucidate the Impact of Factors that Influence the Quality of Ultra–High Performance Concrete, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 180-187, 10.1109/SSCI52147.2023.10371800, https://ieeexplore.ieee.org/document/10371800, 2023

   6.	Axel Dürrbaum, Farzad Rezazadeh, Andreas Kroll: Automatic Camera-based advanced Slump FlowTesting for Improved Reliability, IEEE Sensors 2023, 10.1109/SENSORS56945.2023.10325030, https://ieeexplore.ieee.org/document/10325030, 2023

   7.	Farzad Rezazadeh, Andreas Kroll: Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark datasets, 32. Workshop Computational Intelligence, 53--75, KIT Scientific Publishing, 10.5445/KSP/1000151141, https://doi.org/10.5445/KSP/1000151141, 2022