Mehrdad Saif

Dean and Professor

University of Windsor

Canada

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Mehrdad Saif is the Dean and Professor at the University of Windsor. His research primarily focuses on artificial intelligence applications in connected autonomous vehicles, predictive maintenance, and cyber-physical systems. Recent articles authored by Professor Saif include studies on deep learning strategies for fault isolation, robust federated learning, and explainable AI in manufacturing. He is recognized for his contributions to resilient control systems and innovative maintenance scheduling methodologies.

Mehrdad Saif

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Articles (24)

A New Supervised Triple Deep Learning Strategy for Fault Isolation and Tolerant Cruise Control in Connected Autonomous Vehicles

Condition-Based Maintenance Scheduling Using Probability Distribution Function and Agglomerative Hierarchical Clustering Approaches: AI-Driven Predictive Maintenance Mapping

Finite-Time Dissipative Tracking Control of Semi-Markov Jump Systems Under Multi-Channel Hybrid Attacks

Message From the New Editor-in-Chief of IEEE Access

Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey

Explainable Artificial Intelligence Approach for Diagnosing Faults in an Induction Furnace

Sensor and Decision Fusion-Based Intrusion Detection and Mitigation Approach for Connected Autonomous Vehicles

Decentralized Federated Learning: A Survey on Security and Privacy

Expanding analytical capabilities in intrusion detection through ensemble-based multi-label classification

Resilient Finite-Time Consensus Tracking for Nonholonomic High-Order Chained-Form Systems Against DoS Attacks

An Intrusion Detection and Mitigation Framework for Automatic Generation Control Systems

Resilient Synchronization for Insecure Markovian Jump Neural Networks to Mitigate Dual Cyber Attacks

Robust Federated Learning for Mitigating Advanced Persistent Threats in Cyber-Physical Systems

A Novel Fast Fixed-Time Backstepping Control of DC Microgrids Feeding Constant Power Loads

Observer-Based Backstepping Sliding Mode Control Design for Microgrids Feeding a Constant Power Load

Resilient Event-Triggered Terminal Sliding Mode Control Design for a Robot Manipulator

A systematic overview of power electronics interfaced electrochemical impedance spectroscopy for energy storage systems

Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making

Fault-tolerant control design for unreliable networked control systems via constrained model predictive control

A New Compressor Failure Prognostic Method Using Nonlinear Observers and a Bayesian Algorithm for Heavy-Duty Gas Turbines

Blockchain Technology in Modern Power Systems: A Systematic Review

A New Hybrid Supervisory Control System for Cabinet-Type Firebox Furnaces

An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies

Blockchain-Enabled Trust Building for Managing Consensus in Linguistic Opinion Dynamics

Collaborators (6)

Allahyar Montazeri

Khashayar Khorasani

Vasile Palade

Roozbeh Razavi-Far

Nenad Mijatovic

Enrique Herrera-Viedma

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