Bridging the Gap: Machine Learning in Physics and Industry

by Ashraf Mohamed (DESY)

Thursday 14 Sept 2023, 10:30 → 12:30 Africa/Cairo

AB-B2-G06 (Zewail City of Science and Technology)

Ashraf Mohamed is a physicist and machine learning scientist who has a passion for exploring the mysteries of the universe. He obtained his BSc and MSc in Physics from Ain Shams University in Cairo, Egypt, where he studied physics and electronics. He then pursued his PhD in Experimental Particles Physics at RWTH AACHEN University and DESY, where he used machine learning techniques to search for dark matter, one of the most elusive and abundant substances in nature. After graduating in 2021, he joined Lastminute.com as a machine learning scientist, where he applied his machine learning skills to improve the online travel experience. He is currently a post-doctoral researcher at DESY, where he works on developing real-time machine learning solutions for charged particle tracking for future collider experiments.