Multi-Modal Deep Learning Architecture for Accurate Driver Behavior Recognition in Automated Driving Systems. - Fares Alhaek; Weichao Liang; Taha M. Rajeh; Muhammad Hafeez Javed; Tianrui Li 001 (ISKE, 2023)

Content-Based Video Clustering Using Hybrid Multi -View Spatio- Temporal Feature Learning. - Muhammad Hafeez Javed; Zeng Yu 001; Taha M. Rajeh; Fares Alhaek; Tianrui Li 001 (ISKE, 2023)

Urban Traffic Flow Prediction Based on Regional Spatial-Temporal Correlation with Dual Attention. - Taha M. Rajeh; Weichao Liang; Muhammad Hafeez Javed; Fares Alhaek; Tianrui Li 001 (ISKE, 2023)

Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction. - Taha M. Rajeh; Tianrui Li 001; Chongshou Li; Muhammad Hafeez Javed; Zhipeng Luo; Fares Alhaek (Knowl. Based Syst., 2023)

Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach. - Fares Alhaek; Weichao Liang; Taha M. Rajeh; Muhammad Hafeez Javed; Tianrui Li 001 (Knowl. Based Syst., 2024)

A Clustering-Based Multi-Agent Reinforcement Learning Framework for Finer-Grained Taxi Dispatching. - Taha M. Rajeh; Zhipeng Luo; Muhammad Hafeez Javed; Fares Alhaek; Tianrui Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Encoding global semantic and localized geographic spatial-temporal relations for traffic accident risk prediction. - Fares Alhaek; Tianrui Li 001; Taha M. Rajeh; Muhammad Hafeez Javed; Weichao Liang (Inf. Sci., 2025)

Time-aware bike flow prediction framework with dynamic edge fusion and memory integration. - Taha M. Rajeh; Tianrui Li 001; Zhpeng Luo; Muhammad Hafeez Javed; Fares Alhaek (Knowl. Based Syst., 2025)