I graduated with a Bachelor’s degree in Petroleum Engineering from Shiraz University in 2020 and then pursued a Master’s degree in Reservoir Engineering at the same institution. My Master’s thesis focused on investigating the impact of data size on the performance of machine learning (ML) models for predicting shear-wave velocity.

After completing my Master’s degree, I joined Nazarbayev University as a Research Assistant, where I had the opportunity to further develop my skills in data analysis and ML, particularly through my work on CO₂ and H₂ storage systems. During my final year at Nazarbayev University, I also worked on the application of ML models in the field of chemistry, particularly for lithium-ion batteries. I used ML models to investigate and predict the performance of battery-related materials and systems. In addition, I applied Life Cycle Assessment (LCA) to evaluate the environmental impacts of different materials and processes using SimaPro software.

In October 2026, I joined Hamburg University of Technology (TUHH) as a PhD student in the Geo-Hydroinformatics group. My research focuses on modelling fluid flow in nanoporous materials using the Lattice Boltzmann method and ML. The overall goal of this project is to gain a better understanding of how properties such as wettability, permeability, and pore size distribution influence multiphase flow and transport processes in nanoporous materials.

Contact

Ghazal Piroozi
Hamburg University of Technology
Institute of Geo-Hydroinformatics B-9
Am Schwarzenberg-Campus 3 (E)
21073 Hamburg, Germany
Email: ghazal.piroozi(at)tuhh.de
Website: www.tuhh.de/ghi