1.	Farzad Rezazadeh, Emad Olfatbakhsh, Andreas Kroll: Sign Diversity: A Method for Measuring Diversity in Base Learner Selection for Ensemble Regression, 2025 IEEE Symposium on Computational Intelligence on Engineering/Cyber Physical Systems (CIES), Trondheim Norway, 1-9, 10.1109/CIES64955.2025.11007635, https://ieeexplore.ieee.org/document/11007635, 2025

   2.	Farzad Rezazadeh, Axel Dürrbaum, Amin Abrishambaf, Gregor Zimmermann, Andreas Kroll: Mechanical Properties of Ultra-High Performance Concrete (UHPC), DaKS - University of Kassel's research data repository, https://doi.org/10.48662/daks-56, https://daks.uni-kassel.de/handle/123456789/251, 2025

   3.	Farzad Rezazadeh, Amin Abrishambaf, Gregor Zimmermann, Andreas Kroll: Investigating Quality Inconsistencies in the Ultra-High Performance Concrete Manufacturing Process Using an Informed Non-Dominated Sorting Genetic Algorithm II, at - Automatisierungstechnik, 2025

   4.	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

   5.	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

   6.	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

   7.	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

   8.	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