Saif Eddin G. Jabari

Orcid: 0000-0002-2314-5312

Affiliations:
  • New York University Abu Dhabi, Division of Engineering, United Arab Emirates
  • New York University (NYU) Tandon School of Engineering, Department of Civil and Urban Engineering, Brooklyn, NY, USA


According to our database1, Saif Eddin G. Jabari authored at least 41 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks.
IEEE Trans. Artif. Intell., July, 2024

Urban traffic analysis and forecasting through shared Koopman eigenmodes.
CoRR, 2024

Representing Neural Network Layers as Linear Operations via Koopman Operator Theory.
CoRR, 2024

On countering adversarial perturbations in graphs using error correcting codes.
CoRR, 2024

Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems.
Proceedings of the Australian & New Zealand Control Conference, 2024

2023
Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems.
CoRR, 2023

Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems.
CoRR, 2023

Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors.
CoRR, 2023

Generalized adaptive smoothing based neural network architecture for traffic state estimation.
CoRR, 2023

Physical Backdoor Trigger Activation of Autonomous Vehicle Using Reachability Analysis.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Node-Charge Graph-Based Online Carshare Rebalancing Policy with Capacitated Electric Charging.
Transp. Sci., 2022

Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning.
Transp. Sci., 2022

Incorporating Kinematic Wave Theory Into a Deep Learning Method for High-Resolution Traffic Speed Estimation.
IEEE Trans. Intell. Transp. Syst., 2022

Pay for Intersection Priority: A Free Market Mechanism for Connected Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Stationary states in two lane traffic: insights from kinetic theory.
CoRR, 2022

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks.
CoRR, 2022

Generalized Adaptive Smoothing Using Matrix Completion for Traffic State Estimation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-Based Traffic Congestion Control Systems.
IEEE Trans. Inf. Forensics Secur., 2021

On equilibrium Metropolis simulations on self-organized urban street networks.
Appl. Netw. Sci., 2021

Learning Traffic Speed Dynamics from Visualizations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A Trigger Exploration Method for Backdoor Attacks on Deep Learning-Based Traffic Control Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Sparse Travel Time Estimation from Streaming Data.
Transp. Sci., 2020

A Real-Time Dispatching Strategy for Shared Automated Electric Vehicles with Performance Guarantees.
CoRR, 2020

Backpressure Control with Estimated Queue Lengths for Urban Network Traffic.
CoRR, 2020

Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems.
CoRR, 2020

Node-charge graph-based online carshare rebalancing with capacitated electric charging.
CoRR, 2020

Noticeability Versus Impact in Traffic Signal Tampering.
IEEE Access, 2020

Traffic Data Imputation Using Deep Convolutional Neural Networks.
IEEE Access, 2020

Comparative Analysis of Economic Instruments in Intersection Operation: A User-Based Perspective.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Short-Term Traffic Forecasting Using High-Resolution Traffic Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A User-Based Charge and Subsidy Scheme for Single O-D Network Mobility Management.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving.
CoRR, 2019

On the perturbation of self-organized urban street networks.
Appl. Netw. Sci., 2019

Learning Traffic Flow Dynamics Using Random Fields.
IEEE Access, 2019

Transferable Utility Games based Intersection Control for Connected Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

An Agent-based Simulation for Shared Automated Electric Vehicles with Vehicle Relocation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Fault isolation based on online sparse optimization of streaming faulty data.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Position weighted backpressure intersection control for connected urban networks.
CoRR, 2018

Learning Traffic Flow Dynamics using Random Fields.
CoRR, 2018

Traffic state estimation using stochastic Lagrangian dynamics.
CoRR, 2018

2016
Sensor placement with time-to-detection guarantees.
EURO J. Transp. Logist., 2016


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