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Arash Heidari

Senior Research Fellow

University of Houston

United States

Research Interests

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Articles (20)

Collaborators (4)

Dong Seog Han

Kyungpook National University

Mohammed M. Bait-Suwailam

Sultan Qaboos University

Majdi Mansouri

Associate Professor

Sultan Qaboos University

Roberto Passerone

University of Trento

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Arash Heidari

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (4)

Dong Seog Han

Mohammed M. Bait-Suwailam

Majdi Mansouri

Roberto Passerone

Make your next move.

Arash Heidari

Research Interests

Make your next move.

Explore related searches

Articles (20)

Temporal-Convolutional Adversarial Autoencoding With Channel-Wise Attention for Intrusion Detection in the Internet of Vehicles

A Dynamic Decision and Security Framework for Internet of Vehicles by Enhanced Localization Using Deep Reinforcement Learning

Federated Driver Digital Twin (FDDT): Secure, Adaptive, and Deployment-Oriented Private Models for Connected Vehicles

SATI: a continuous state-space and OCSVM-based method for delay-aware sensor anomaly detection in smart-city transit systems

Unsupervised anomaly detection in internet of vehicles via spectral-residual preprocessing and adversarial variational autoencoding

Explainable edge–cloud federated intrusion detection system for electric vehicles using GRUs, DRL selection, and integrated gradients

FedIoV: A secure and adaptive federated framework for real-time intrusion detection in vehicular networks

Explainable artificial intelligence in neurology: a holistic exploration of models for diagnosis, progression tracking, and treatment planning

Advancements and Applications of Generative Artificial Intelligence in Electronic Circuit Design: A Comprehensive Survey

A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer

Artificial intelligence-driven orthodontics: current applications, emerging trends, and key limitations

A unified graph neural network-based approach for few-shot learning with task nodes and DiffPool abstraction

An energy-efficient privacy-preserving framework for intrusion detection in the internet of vehicles

Designing efficient anomaly detection systems using deep learning techniques

Artificial Intelligence-driven privacy preservation in the internet of vehicles: a comprehensive systematic literature review

NOVA: A Self-Supervised Graph Framework for Real-Time Anomaly Detection in Internet of Vehicles

Resilient and Privacy-Preserving Intrusion Detection Framework for Internet of Vehicles Using Federated Learning and Deep Neural Networks

A hybrid deep learning framework using synthetic oversampling, autoencoder, convolutional neural networks, and an attention mechanism for credit card fraud detection

A new design of arithmetic and logic unit for enhancing the security of future internet of things devices using quantum-dot technology

Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems

Collaborators (4)

Dong Seog Han

Mohammed M. Bait-Suwailam

Majdi Mansouri

Roberto Passerone

Make your next move.