Mohammad Hossein Anisi

Senior Lecturer (Associate Professor)

University of Essex

United Kingdom

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About

Dr. Mohammad Hossein Anisi is a Senior Lecturer (Associate Professor) at the University of Essex, UK. His research focuses on advanced topics such as privacy-preserving protocols for UAV networks, edge computing optimization, and secure federated learning frameworks for vehicle-to-grid authentication. He has published extensively on subjects including artificial intelligence applications in autonomous vehicles and sustainable computing in distributed manufacturing systems.

Articles (22)

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2021

Collaborators (6)

Shidrokh Goudarzi

University of West London

UNITED KINGDOM

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Seyed Ahmad Soleymani

University of Surrey

UNITED KINGDOM

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Adnan Akhunzada

Lecturer/Assistant Professor

Coventry University

UNITED KINGDOM

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Alessandro Brighente

Assistant Professor

University of Padua

ITALY

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Wenwu Wang

Professor of Signal Processing and Machine Learning

University of Surrey

UNITED KINGDOM

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Vahid Abolghasemi

Assistant Professor

University of Essex

UNITED KINGDOM

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Mohammad Hossein Anisi

Research Interests

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About

Articles (22)

A privacy-preserving access control protocol for 6G supported intelligent UAV networks

Optimizing UAV-Assisted Vehicular Edge Computing With Age of Information: An SAC-Based Solution

MI3SE: A Multi-User Index-Based Searchable Symmetric Encryption Scheme for Improving Security of Data in Connected Electronic Devices

A Post-Quantum Secure Federated Learning Framework for Cross-Domain V2G Authentication

A Precoding Perturbation Method in Geometric Optimization: Exploring Manifold Structure for Privacy and Efficiency

AIDAS: AI-Enhanced Intrusion Detection and Authentication for Autonomous Vehicles

An Improvised Certificate-Based Proxy Signature Using Hyperelliptic Curve Cryptography for Secure UAV Communications

Strawberry Disease Detection Through an Advanced Squeeze-and-Excitation Deep Learning Model

Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems

Cost-Effective Authenticated Solution (CAS) for 6G-Enabled Artificial Intelligence of Medical Things (AIoMT)

Optimizing V2G Dynamics: An AI-Enhanced Secure Protocol for Energy Management in Industrial Cyber-Physical Systems

Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network

A Privacy-Preserving Authentication Scheme for Real-Time Medical Monitoring Systems

An accurate RSS/AoA-based localization method for internet of underwater things

A Type-2 Fuzzy Based Explainable AI System for Predictive Maintenance within the Water Pumping Industry

TRUTH: Trust and Authentication Scheme in 5G-IIoT

High-Voltage Pulse Generators for Electroporation Applications: A Systematic Review

A privacy-preserving authentication scheme based on Elliptic Curve Cryptography and using Quotient Filter in fog-enabled VANET

TRUTH: Trust and Authentication Scheme in 5G-IIoT

E2DA: Energy Efficient Data Aggregation and End-to-End Security in 3D Reconfigurable WSN

Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences

An IoT-Based Prediction Technique for Efficient Energy Consumption in Buildings

Collaborators (6)

Shidrokh Goudarzi

Seyed Ahmad Soleymani

Adnan Akhunzada

Alessandro Brighente

Wenwu Wang

Vahid Abolghasemi

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