A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. - Mohammad Reza Chalak Qazani; Houshyar Asadi; Arian Shajari; Zoran Najdovski; Chee Peng Lim; Saeid Nahavandi (SMC, 2023)

Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model. - Arian Shajari; Houshyar Asadi; Shehab Alsanwy; Saeid Nahavandi (SMC, 2023)

Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles. - Shehab Alsanwy; Mohammad Reza Chalak Qazani; Wadhah Al-Ashwal; Arian Shajari; Saeid Nahavandi; Houshyar Asadi (SysCon, 2024)

Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks. - Farhad Nazari; Arian Shajari; Darius Nahavandi; Navid Mohajer (SysCon, 2024)

Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. - Arian Shajari; Houshyar Asadi; Shehab Alsanwy; Saeid Nahavandi; Chee Peng Lim (SysCon, 2024)

Feature Extraction and AI Model-Based Detection of Driving Distraction Utilizing a Motion Platform. - Arian Shajari; Houshyar Asadi; Farhad Nazari; Saeid Nahavandi (SysCon, 2025)

Evaluating the impact of music tempo on drivers and their performance using an artificial intelligence model: a multi-source data approach. - Arian Shajari; Houshyar Asadi; Shehab Alsanwy; Saeid Nahavandi; Chee Peng Lim (Neural Comput. Appl., 2025)