Neda Masoud

Orcid: 0000-0002-6526-3317

According to our database1, Neda Masoud authored at least 22 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
A Hierarchical Vehicle Behavior Prediction Framework With Traffic Signals and Interactive Agents.
IEEE Trans. Intell. Transp. Syst., October, 2023

A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
A Traveler Incentive Program for Promoting Community-Based Ridesharing.
Transp. Sci., 2022

Predicting Risky Driving in a Connected Vehicle Environment.
IEEE Trans. Intell. Transp. Syst., 2022

A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction.
Adv. Eng. Informatics, 2022

2021
Increasing GPS Localization Accuracy With Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors.
IEEE Trans. Intell. Transp. Syst., 2021

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR, 2021

Adversarial Online Learning With Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity.
IEEE Access, 2021

The Internet of Federated Things (IoFT).
IEEE Access, 2021

A Learning-Based Method for Predicting Heterogeneous Traffic Agent Trajectories: Implications for Transfer Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

Minimum Weight Pairwise Distance Preservers.
CoRR, 2020

Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation.
CoRR, 2020

Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning.
CoRR, 2020

Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

V2XSim: A V2X Simulator for Connected and Automated Vehicle Environment Simulation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Impact of Traffic Conditions and Carpool Lane Availability on Peer to Peer Ridesharing Demand.
CoRR, 2019

Parallel computing algorithm for real-time mapping between large-scale networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data.
Proceedings of the Intelligent Systems and Applications, 2019

2017
A Decomposition Algorithm to Solve the Multi-Hop Peer-to-Peer Ride-Matching Problem.
CoRR, 2017


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