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ORCIDMozhgan Nasr Azadani
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2020 – today
- 2024
[j7]Mozhgan Nasr Azadani
, Azzedine Boukerche:
CAPHA: A Novel Context-Aware Behavior Prediction System of Heterogeneous Agents for Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(3): 3065-3078 (2024)- [c12]Mozhgan Nasr Azadani, Azzedine Boukerche:
A Novel Transformer-Based Model for Motion Forecasting in Connected Automated Vehicles. ICC 2024: 5359-5364 - 2023
- [j6]Mozhgan Nasr Azadani, Azzedine Boukerche:
STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles. Ad Hoc Networks 138: 103021 (2023) - [c11]Mozhgan Nasr Azadani, Azzedine Boukerche:
GMP: Goal-Based Multimodal Motion Prediction for Automated Vehicles. GLOBECOM 2023: 7544-7549 - [c10]Mozhgan Nasr Azadani, Azzedine Boukerche:
A Context-Aware Path Forecasting Method for Connected Autonomous Vehicles. ICC 2023: 247-252 - [c9]Mozhgan Nasr Azadani, Azzedine Boukerche:
A Novel Multimodal Behavior Prediction Method for Automated Vehicles. DIVANet 2023: 47-54 - [c8]Mozhgan Nasr Azadani, Azzedine Boukerche:
A Social-Aware Vehicle Path Forecasting Method using Graph Neural Networks. DIVANet 2023: 61-68 - 2022
- [j5]Mozhgan Nasr Azadani, Azzedine Boukerche:
DriverRep: Driver identification through driving behavior embeddings. J. Parallel Distributed Comput. 162: 105-117 (2022) - [j4]Mozhgan Nasr Azadani, Azzedine Boukerche:
Driving Behavior Analysis Guidelines for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(7): 6027-6045 (2022) - [j3]Mozhgan Nasr Azadani, Azzedine Boukerche:
Siamese Temporal Convolutional Networks for Driver Identification Using Driver Steering Behavior Analysis. IEEE Trans. Intell. Transp. Syst. 23(10): 18076-18087 (2022) - [j2]Mozhgan Nasr Azadani, Azzedine Boukerche:
A Novel Multimodal Vehicle Path Prediction Method Based on Temporal Convolutional Networks. IEEE Trans. Intell. Transp. Syst. 23(12): 25384-25395 (2022) - [c7]Mozhgan Nasr Azadani, Azzedine Boukerche:
An Interaction-Aware Vehicle Behavior Prediction for Connected Automated Vehicles. ICC 2022: 279-284 - [c6]Mozhgan Nasr Azadani, Azzedine Boukerche:
Convolutional and Recurrent Neural Networks for Driver Identification: An Empirical Study. NOMS 2022: 1-6 - 2021
- [c5]Mozhgan Nasr Azadani, Azzedine Boukerche:
An Internet-of-Vehicles Powered Defensive Driving Warning Approach for Traffic Safety. GLOBECOM 2021: 1-6 - [c4]Mozhgan Nasr Azadani, Azzedine Boukerche:
Toward Driver Intention Prediction for Intelligent Vehicles: A Deep Learning Approach. LCN 2021: 233-240 - [c3]Mozhgan Nasr Azadani, Azzedine Boukerche:
Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach. WCNC 2021: 1-6 - 2020
- [c2]Mozhgan Nasr Azadani, Azzedine Boukerche:
Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data. WCNC 2020: 1-6
2010 – 2019
- 2018
- [j1]Mozhgan Nasr Azadani, Nasser Ghadiri, Ensieh Davoodijam:
Graph-based biomedical text summarization: An itemset mining and sentence clustering approach. J. Biomed. Informatics 84: 42-58 (2018) - 2017
- [c1]Mozhgan Nasr Azadani, Nasser Ghadiri:
Evaluating Different Similarity Measures for Automatic Biomedical Text Summarization. ISDA 2017: 305-314
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