Evaluating Different Similarity Measures for Automatic Biomedical Text Summarization. - Mozhgan Nasr Azadani; Nasser Ghadiri (ISDA, 2017)

Graph-based biomedical text summarization: An itemset mining and sentence clustering approach. - Mozhgan Nasr Azadani; Nasser Ghadiri; Ensieh Davoodijam (J. Biomed. Informatics, 2018)

Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data. - Mozhgan Nasr Azadani; Azzedine Boukerche (WCNC, 2020)

An Internet-of-Vehicles Powered Defensive Driving Warning Approach for Traffic Safety. - Mozhgan Nasr Azadani; Azzedine Boukerche (GLOBECOM, 2021)

Toward Driver Intention Prediction for Intelligent Vehicles: A Deep Learning Approach. - Mozhgan Nasr Azadani; Azzedine Boukerche (LCN, 2021)

Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach. - Mozhgan Nasr Azadani; Azzedine Boukerche (WCNC, 2021)

An Interaction-Aware Vehicle Behavior Prediction for Connected Automated Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (ICC, 2022)

Convolutional and Recurrent Neural Networks for Driver Identification: An Empirical Study. - Mozhgan Nasr Azadani; Azzedine Boukerche (NOMS, 2022)

DriverRep: Driver identification through driving behavior embeddings. - Mozhgan Nasr Azadani; Azzedine Boukerche (J. Parallel Distributed Comput., 2022)

Driving Behavior Analysis Guidelines for Intelligent Transportation Systems. - Mozhgan Nasr Azadani; Azzedine Boukerche (IEEE Trans. Intell. Transp. Syst., 2022)

Siamese Temporal Convolutional Networks for Driver Identification Using Driver Steering Behavior Analysis. - Mozhgan Nasr Azadani; Azzedine Boukerche (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Multimodal Vehicle Path Prediction Method Based on Temporal Convolutional Networks. - Mozhgan Nasr Azadani; Azzedine Boukerche (IEEE Trans. Intell. Transp. Syst., 2022)

GMP: Goal-Based Multimodal Motion Prediction for Automated Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (GLOBECOM, 2023)

A Context-Aware Path Forecasting Method for Connected Autonomous Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (ICC, 2023)

A Novel Multimodal Behavior Prediction Method for Automated Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (DIVANet, 2023)

A Social-Aware Vehicle Path Forecasting Method using Graph Neural Networks. - Mozhgan Nasr Azadani; Azzedine Boukerche (DIVANet, 2023)

STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (Ad Hoc Networks, 2023)

A Novel Transformer-Based Model for Motion Forecasting in Connected Automated Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (ICC, 2024)

CAPHA: A Novel Context-Aware Behavior Prediction System of Heterogeneous Agents for Autonomous Vehicles. - Mozhgan Nasr Azadani; Azzedine Boukerche (IEEE Trans. Veh. Technol., 2024)

LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models. - Mozhgan Nasr Azadani; James Riddell; Sean Sedwards; Krzysztof Czarnecki 001 (CoRR, 2025)

Hierarchical Transformers for Motion Forecasting Based on Inverse Reinforcement Learning. - Mozhgan Nasr Azadani; Azzedine Boukerche (IEEE Trans. Veh. Technol., 2025)

LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts. - Yimu Wang; Mozhgan Nasr Azadani; Sean Sedwards; Krzysztof Czarnecki 001 (CoRR, 2025)

HAWAII: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models. - Yimu Wang; Mozhgan Nasr Azadani; Sean Sedwards; Krzysztof Czarnecki 001 (CoRR, 2025)