Mozhgan Nasr Azadani

Orcid: 0000-0002-2872-1438

According to our database1, Mozhgan Nasr Azadani authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CAPHA: A Novel Context-Aware Behavior Prediction System of Heterogeneous Agents for Autonomous Vehicles.
IEEE Trans. Veh. Technol., March, 2024

2023
STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles.
Ad Hoc Networks, 2023

A Social-Aware Vehicle Path Forecasting Method using Graph Neural Networks.
Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2023

A Novel Multimodal Behavior Prediction Method for Automated Vehicles.
Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2023

A Context-Aware Path Forecasting Method for Connected Autonomous Vehicles.
Proceedings of the IEEE International Conference on Communications, 2023

GMP: Goal-Based Multimodal Motion Prediction for Automated Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023

2022
A Novel Multimodal Vehicle Path Prediction Method Based on Temporal Convolutional Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Siamese Temporal Convolutional Networks for Driver Identification Using Driver Steering Behavior Analysis.
IEEE Trans. Intell. Transp. Syst., 2022

Driving Behavior Analysis Guidelines for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022

DriverRep: Driver identification through driving behavior embeddings.
J. Parallel Distributed Comput., 2022

Convolutional and Recurrent Neural Networks for Driver Identification: An Empirical Study.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

An Interaction-Aware Vehicle Behavior Prediction for Connected Automated Vehicles.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Toward Driver Intention Prediction for Intelligent Vehicles: A Deep Learning Approach.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

An Internet-of-Vehicles Powered Defensive Driving Warning Approach for Traffic Safety.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

2018
Graph-based biomedical text summarization: An itemset mining and sentence clustering approach.
J. Biomed. Informatics, 2018

2017
Evaluating Different Similarity Measures for Automatic Biomedical Text Summarization.
Proceedings of the Intelligent Systems Design and Applications, 2017


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