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Abdulrahman Takiddin

Assistant Professor

Florida State University

United States

Research Interests

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Articles (20)

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2026

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2023

Collaborators (8)

Shi Chen

Assistant Professor

The Hong Kong University of Science and Technology

HONG KONG

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Erchin Serpedin

UNITED STATES

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Xueyuan Cui

Harvard University

UNITED STATES

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Mariam Elnour

University of Texas System

UNITED STATES

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Tuy Nguyen

Assistant Professor

Florida State University

UNITED STATES

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Zhe Yang

Aalborg University

DENMARK

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Muhammad Ismail

Tennessee Tech University

UNITED STATES

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Katherine Davis

UNITED STATES

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Abdulrahman Takiddin

Research Interests

Explore related searches

Articles (20)

Bidirectional GNN-Based Intrusion Detection of Malware Injection Attacks in EV Charging Stations

GridFusionX: Network-Aware Probabilistic Forecasting for Multi-Regional Power Systems

Linear-Complexity Unified Defense Against Deception Attacks in Distributed Economic Dispatch Using Cryptography and Machine Learning

Simplicial Graph-Based Detection and Localization of Cyber Attacks Against Large-Scale Smart Grids

Eigenvector centrality-enhanced graph network for attack detection in power distribution systems

An Extended Frequency-Improved Legendre Memory Model for Enhanced Long-term Electricity Load Forecasting

Dynamic Spatio-Temporal Planning Strategy of EV Charging Stations and DGs Using GCNN-Based Predicted Power Demand

Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability

Graphon Neural Networks-Based Detection of False Data Injection Attacks in Dynamic Spatio-Temporal Power Systems

Cyber-Physical Fusion for GNN-Based Attack Detection in Smart Power Grids

Sample Adaptive Transfer for Electricity Theft Detection With Distribution Shifts

Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases

Spatio-temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Graph Autoencoder-Based Detection of Unseen False Data Injection Attacks in Smart Grids

Graph Autoencoder-Based Power Attacks Detection for Resilient Electrified Transportation Systems

Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids

Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids

Robust Data-Driven Detection of Electricity Theft Adversarial Evasion Attacks in Smart Grids

Cyber-Physical GNN-Based Intrusion Detection in Smart Power Grids

Injection Attacks and Detection Strategy in Front-End Vehicle-to-Grid Communication

Collaborators (8)

Shi Chen

Erchin Serpedin

Xueyuan Cui

Mariam Elnour

Tuy Nguyen

Zhe Yang

Muhammad Ismail

Katherine Davis

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