A New Graph-Based Reinforcement Learning Environment for Targeted Molecular Generation and Optimization✱. - Amgad Abdallah Mahmoud; Nada Adel Alyan; Ahmed Elkerdawy; Shihori Tanabe; Frédéric Andrès; Andreas Pester; Hesham Ali 001 (ICSIE, 2023)

Leverage Data Security Policies Complexity for Users: An End-to-End Storage Service Management in the Cloud Based on ABAC Attributes. - Nicolas Grenèche; Frédéric Andrès; Shihori Tanabe; Andreas Pester; Hesham H. Ali; Amgad A. Mahmoud; Dominique Bascle (MLN, 2023)

Predicting drug likeness and molecular activity. - Amgad A. Mahmoud; Frédéric Andrès; Andreas Pester; Shihori Tanabe; Hesham Ali 001; Nada Adel 001 (IEEE DataPort, 2023)

Geom-SAC: Geometric Multi-Discrete Soft Actor Critic With Applications in De Novo Drug Design. - Amgad Abdallah Mahmoud; Nada Adel Alyan; Ahmed Elkerdawy; Shihori Tanabe; Frédéric Andrès; Andreas Pester; Hesham H. Ali (IEEE Access, 2024)

Cheby-KANs: Advanced Kolmogorov-Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry Applications. - Amgad Abdallah Mahmoud; Andreas Pester; Maha Muttardi; Frédéric Andrès; Shihori Tanabe; Nicolas Grenèche; Hesham H. Ali (IEEE Access, 2025)

Cheby-KANs Dataset. - Amgad Abdallah; Andreas Pester; Maha Muttardi; Frédéric Andrès; Shihori Tanabe; Nicolas Grenèche; Hesham H. Ali (IEEE DataPort, 2025)

Cheby-KANs Dataset. - Amgad A. Mahmoud; Andreas Pester; Maha Muttardi; Frédéric Andrès; Shihori Tanabe; Nicolas Grenèche; Hesham H. Ali (Zenodo, 2025)

FPPO: Theory of Belief Functions for more reliable Single and Multi-Agent Systems in Deep Reinforcement Learning. - Amgad A. Mahmoud; Constance Thierry; Frédéric Andrès; Andreas Pester; Nicolas Grenèche; Hesham Ali 001; Shihori Tanabe; Maha Muttardi (Zenodo, 2025)