Erchin Serpedin

University Name

United States

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Articles (21)

Collaborators (5)

Mariam Elnour

University of Texas System

UNITED STATES

Mahmoud Nabil Mahmoud

Assistant Professor

North Carolina A&T State University

UNITED STATES

mohammad rasoul narimani

Assistant Professor

California State University Northridge

UNITED STATES

Muhammad Ismail

Tennessee Tech University

UNITED STATES

Katherine Davis

UNITED STATES

Erchin Serpedin

Research Interests

Explore related searches

Contact this professor

Articles (21)

Collaborators (5)

Mariam Elnour

Mahmoud Nabil Mahmoud

mohammad rasoul narimani

Muhammad Ismail

Katherine Davis

How do I reach out?

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Erchin Serpedin

Research Interests

Explore related searches

Contact this professor

Articles (21)

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

Advanced deep learning and large language models: Comprehensive insights for cancer detection

Enhancing power grid management and incident response mechanisms through consortium blockchain

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

Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs

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

Federated Learning-Based Distributed Localization of False Data Injection Attacks on Smart Grids

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

Analysis of Multi-User-Based UAV System With Outdated CSI

Analysis of Multi-User-Based UAV System With Outdated CSI

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

Limiting the Failure Impact of Interdependent Power-Communication Networks via Optimal Partitioning

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

Clustered Scheduling and Communication Pipelining for Efficient Resource Management of Wireless Federated Learning

Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks

Cascading Failure Vulnerability Analysis in Interdependent Power Communication Networks

Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids

Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids

Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings

Collaborators (5)

Mariam Elnour

Mahmoud Nabil Mahmoud

mohammad rasoul narimani

Muhammad Ismail

Katherine Davis

How do I reach out?

Meet Kite AI