Shahin Sepanlou

Supervisors: Prof. Christian Schroer (DESY, UHH), Dr. Andreas Schropp (DESY), Prof. Frank Steinicke (UHH)

Shahin has a Master’s degree in physics from the University of Hamburg, where he specialised in experimental particle and X-ray physics. His Master’s thesis was supervised by Prof. Johannes Haller and had a strong focus on machine learning and data analysis. He received his Bachelor’s degree from Johannes Gutenberg Universität Mainz. 

His PhD project aims to develop semi-automatic, interactive 3D reconstruction workflows for stereoscopic X-ray ptychography. While hard X-ray ptychography has achieved high spatial resolution, reconstructing 3D details becomes challenging when sample rotation is restricted or when layers are closely spaced. The stereoscopic approach illuminates the sample from multiple angles simultaneously, providing enhanced depth perception. The objective is to combine expert input and deep learning techniques to extract quantitative 3D structural information (for example, from microchip layer stacks) and to advance the method towards routine, quantitative imaging.