Traffic Incident Reasoning Through Multi-Grained Conceptual Graph Networks. - Ali Reza Sattarzadeh; Pubudu N. Pathirana (ISCMI, 2024)

Unification of probabilistic graph model and deep reinforcement learning (UPGMDRL) for multi-intersection traffic signal control. - Ali Reza Sattarzadeh; Pubudu N. Pathirana (Knowl. Based Syst., 2024)

Probabilistic Graph Models: A Key to Boosting Deep Reinforcement Learning in Urban Traffic Networks. - Ali Reza Sattarzadeh; Pubudu N. Pathirana (ICCAE, 2025)

Enhancing Traffic Flow Prediction with an Attention Mechanism in a Deep Learning Model. - Ali Reza Sattarzadeh; Pubudu N. Pathirana (ICCAE, 2025)

Traffic State Estimation With Spatio-Temporal Autoencoding Transformer (STAT Model). - Ali Reza Sattarzadeh; Pubudu N. Pathirana; Van Thanh Huynh (IEEE Access, 2025)

Implicit sensing self-supervised learning based on graph multi-pretext tasks for traffic flow prediction. - Ali Reza Sattarzadeh; Pubudu Nishantha Pathirana; Marimuthu Palaniswami (Neural Comput. Appl., 2025)