Experiences from Teaching Practical Machine Learning Courses to Master's Students with Mixed Backgrounds. - Omar Shouman; Simon Fuchs; Holger Wittges (Teaching ML, 2021)

PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics. - Omar Shouman; Wassim Gabriel; Victor-George Giurcoiu; Vitor Sternlicht; Mathias Wilhelm 001 (NeurIPS, 2022)

Beam Prediction in 5G and 6G Systems: A Deep Learning Approach. - Shaimaa Hassanein; Omar Shouman; Elias Yaacoub; Abdulaziz Al-Ali 001; Tamer Khattab (ICCSPA, 2024)

Automatic Groundwater Detection from GPR Data using YOLOv8. - Amir Tag; Omar Shouman; Essam Heggy; Tamer Khattab (IGARSS, 2024)

PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics. - Wassim Gabriel; Omar Shouman; Eva Ayla Schröder; Florian Bößl; Mathias Wilhelm 001 (NeurIPS, 2024)

Performance Evaluation of Sinusoidal Power Supplies for Ozone Generation in Water Purification Applications. - Mostafa M. Shibl; Omar Shouman; Ahmed Mahmoud; Ahmed M. Massoud (Sensors, 2024)