Yes, we GAN: Applying adversarial techniques for autonomous driving. - Michal Uricár; Pavel Krízek; David Hurych; Ibrahim Sobh; Senthil Kumar Yogamani; Patrick Denny (Autonomous Vehicles and Machines, 2019)

Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. - Victor Talpaert; Ibrahim Sobh; B. Ravi Kiran 001; Patrick Mannion; Senthil Kumar Yogamani; Ahmad El Sallab; Patrick Pérez (VISIGRAPP (5: VISAPP), 2019)

LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving. - Ahmad El Sallab; Ibrahim Sobh; Mohamed Zahran; Nader Essam (CoRR, 2019)

End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. - Mohammed Abdou; Mahmoud Elkhateeb; Ibrahim Sobh; Ahmad El Sallab (CoRR, 2019)

Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation. - Ahmad El Sallab; Ibrahim Sobh; Mohamed Zahran; Mohamed Shawky (CoRR, 2019)

End-to-End Multitask Learning for Driver Gaze and Head Pose Estimation. - Mahmoud Ewaisha; Marwa El Shawarby; Hazem Abbas; Ibrahim Sobh (Autonomous Vehicles and Machines, 2020)

GG-Net: Gaze Guided Network for Self-driving Cars. - M. Abdelkarim; M. K. Abbas; Alaa Osama; Dalia Anwar; Mostafa Azzam; M. Abdelalim; H. Mostafa; Samah El-Tantawy; Ibrahim Sobh (Autonomous Vehicles and Machines, 2021)

Post Pandemic Era: Future of the Automotive Online Assessments. - Samer Sameh; Ahmed Alborae; Selina Meza; Damjan Ekert; Ibrahim Sobh; Ahmed Seddik (EuroSPI, 2021)

Autonomous driving in the face of unconventional odds. - Hesham M. Eraqi; Ibrahim Sobh (Commun. ACM, 2021)

Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. - Ibrahim Sobh; Ahmed Hamed; Varun Ravi Kumar; Senthil Kumar Yogamani (Autonomous Vehicles and Machines, 2022)

ASPICE Applicability on New Automotive Technologies (AI). - Erin Edwar; Samer Sameh; Ibrahim Sobh (EuroSPI, 2022)

Study of LiDAR Segmentation and Model's Uncertainty using Transformer for Different Pre-trainings. - Mohammed Hassoubah; Ibrahim Sobh; Mohamed ElHelw (VISIGRAPP (4: VISAPP), 2022)

Multimodel System for Driver Distraction Detection and Elimination. - Abdulrahman AbouOuf; Ibrahim Sobh; Mohammad Nasser; Omar Alsaqa; Omar Elezaby; John Zaki (IEEE Access, 2022)

RL_QOptimizer: A Reinforcement Learning Based Query Optimizer. - Mohamed Ramadan; Ayman El-Kilany; Hoda M. O. Mokhtar; Ibrahim Sobh (IEEE Access, 2022)

Deep Reinforcement Learning for Autonomous Driving: A Survey. - B. Ravi Kiran 001; Ibrahim Sobh; Victor Talpaert; Patrick Mannion; Ahmad A. Al Sallab; Senthil Kumar Yogamani; Patrick Pérez (IEEE Trans. Intell. Transp. Syst., 2022)

DAP: A Framework for Driver Attention Prediction. - Ahmed Kamel; Ibrahim Sobh; Walid Al-Atabany (IntelliSys (3), 2023)

A comprehensive study of fisheye image compression and perception for autonomous driving. - Basem Barakat; Ibrahim Sobh; Chup-Chung Wong; Muahmmad Islam (Neural Comput. Appl., 2025)

Towards online training for RL-based query optimizer. - Mohamed Ramadan; Hoda M. O. Mokhtar; Ibrahim Sobh; Ayman El-Kilany (Int. J. Data Sci. Anal., 2025)