Youcef Hassab was born in Oran, Algeria in 1994. He received the B.S. degree in General Engineering Sciences from Hamburg University of Technology (TUHH), Hamburg, Germany in 2019. He received the M.S. degree in Electrical Engineering with a focus on high frequency, electromagnetic compatibility and optics from the TUHH in 2022. During his master studies, he investigated the use of different machine learning algorithms in PCB-based PDN target impedance classification as part of his research project. His masters thesis focused on hand gesture recognition using FMCW-radars and deep learning tools. His recent research emphasis is on radar digital signal processing, radar hand gesture recognition systems and applications of machine learning solutions in electromagnetic compatibility, signal integrity, power integrity and bioelectromagnetics. In November 2022, he joined the Institute of Electromagnetic Theory at the TUHH to pursue a PhD degree. His project focuses on the application of machine learning and bayesian optimization techniques for efficient electromagnetic compatibility engineering.