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AG

Ali Ghojavand

Scientific Collaborator @ University of Liège
Liège, Belgium

Self-driven computational physicist with expertise in data-driven research, atomistic simulation, and simulation of complex physical systems. Skilled in developing and applying models to extract insights from large datasets, with experience in Monte Carlo simulations, Density Functional Theory (DFT), and machine learning assisted analyses.

Tech stack

Systems

Linux
VCS - GIT

Back-end

Python
Bash

ETL Datawarehouse

DataStage

Miscellaneous

Machine Learning
Language
Native French
French
Native
English
Fluent
Dutch
Average
Work experience
Since 2021
Scientific Collaborator @ University of Liège
01 April 2025 -

Contributed to the modeling of magnetoelectric properties in two-dimensional semiconductors, focusing on the effects of external stimuli such as strain and point defects.

PhD Student @ University of Antwerp
01 August 2022 - 31 January 2026

Conducting DFT & Monte Carlo studies of 2D multiferroics, magnetoelectric coupling, and spin textures.

Researcher @ Université catholique de Louvain (UCLouvain)
01 January 2021 - 30 April 2022

Simulated 3D porous carbon frameworks for biomedical and electronic applications using machine learning potentials.

Education experience
Since 2017
solid state physics @ Isfahan University of Technology
01 January 2020 - 01 January 2020

Thesis Title: “novel Ge-based 2D semiconductors”

solid state physics @ University of Kashan
01 January 2017 - 01 January 2017

Project Title: “Design and manufacture of Pyrolysis spray machine”

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