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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
10830
World Ranking
2200
National Ranking
107

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Mehrdad Saif is affiliated with the University of Windsor in Canada and conducts research primarily in the fields of Engineering and Computer Science. Their scholarly work extends across several specialized subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, and Automotive Engineering.

The main research topics addressed by Mehrdad Saif include Smart Grid Security and Resilience, Network Security and Intrusion Detection, Machine Fault Diagnosis Techniques, Anomaly Detection Techniques and Applications, Fault Detection and Control Systems, Microgrid Control and Optimization, and Adaptive Control of Nonlinear Systems.

Mehrdad Saif has published extensively, with significant contributions appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Sensors Journal
  • IEEE Systems Man and Cybernetics Magazine
  • IEEE Access
  • IEEE Systems Journal

Several recent papers demonstrate the scope of their research:

  • Critical Wind Turbine Components Prognostics: A Comprehensive Review, 2020, IEEE Transactions on Instrumentation and Measurement
  • A Comprehensive Overview of Electric Vehicle Batteries Market, 2023, e-Prime - Advances in Electrical Engineering Electronics and Energy
  • Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids, 2021, IEEE Transactions on Smart Grid
  • Multi-Feature Fusion Approach for Epileptic Seizure Detection From EEG Signals, 2020, IEEE Sensors Journal
  • Decentralized Federated Learning: A Survey on Security and Privacy, 2024, IEEE Transactions on Big Data

Collaborations with other researchers are frequent, with prominent co-authors including Roozbeh Razavi-Far, Jafar Zarei, Ehsan Hallaji, Mojtaba Kordestani, and Hossein Hassani.

Mehrdad Saif has been recognized by The Canadian Academy of Engineering, evidencing engagement with professional engineering circles.

Best Publications

  • A novel approach to the design of unknown input observers

    Y. Guan;M. Saif

  • Sliding mode observer for nonlinear uncertain systems

    Yi Xiong;M. Saif

  • Brief Unknown disturbance inputs estimation based on a state functional observer design

    Yi Xiong;Mehrdad Saif

  • Failure Prognosis and Applications—A Survey of Recent Literature

    Mojtaba Kordestani;Mehrdad Saif;Marcos E. Orchard;Roozbeh Razavi-Far

  • A new approach to robust fault detection and identification

    M. Saif;Y. Guan

  • Unknown input observer design for a class of nonlinear systems: an LMI approach

    Weitian Chen;M. Saif

  • Simultaneous Fault Isolation and Estimation of Lithium-Ion Batteries via Synthesized Design of Luenberger and Learning Observers

    Wen Chen;Wei-Tian Chen;Mehrdad Saif;Meng-Feng Li

  • An iterative learning observer for fault detection and accommodation in nonlinear time-delay systems

    Wen Chen;Mehrdad Saif

  • Observer-Based Fault Diagnosis of Satellite Systems Subject to Time-Varying Thruster Faults

    Wen Chen;Mehrdad Saif

  • Critical Wind Turbine Components Prognostics: A Comprehensive Review

    Milad Rezamand;Mojtaba Kordestani;Rupp Carriveau;David S.-K. Ting

  • Electrochemical–Thermal Model of Pouch-type Lithium-ion Batteries

    Maryam Ghalkhani;Farid Bahiraei;Gholam-Abbas Nazri;Mehrdad Saif

  • Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems

    W. Chen;M. Saif

  • Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

    Roozbeh Razavi-Far;Ehsan Hallaji;Maryam Farajzadeh-Zanjani;Mehrdad Saif

  • Fault detection and isolation based on novel unknown input observer design

    Weitian Chen;M. Saif

  • An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors

    Roozbeh Razavi-Far;Maryam Farajzadeh-Zanjani;Mehrdad Saif

  • Wi-Fi based indoor location positioning employing random forest classifier

    Esrafil Jedari;Zheng Wu;Rashid Rashidzadeh;Mehrdad Saif

  • A New Hybrid Fault Detection Method for Wind Turbine Blades Using Recursive PCA and Wavelet-Based PDF

    Milad Rezamand;Mojtaba Kordestani;Rupp Carriveau;David S.-K. Ting

  • Brief paper: Observer design and fault diagnosis for state-retarded dynamical systems

    Hanlong Yang;Mehrdad Saif

  • Adaptive actuator fault detection, isolation and accommodation in uncertain systems

    W. Chen;Mehrdad Saif

  • Neural-networks-based nonlinear dynamic modeling for automotive engines

    Yonghong Tan;Mehrdad Saif

  • A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

    Fazel Mohammadi;Gholam-Abbas Nazri;Mehrdad Saif

Frequent Co-Authors

Khashayar Khorasani
Khashayar Khorasani Concordia University
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Lieven Vandevelde
Lieven Vandevelde Ghent University
Mohammad Hassan Khooban
Mohammad Hassan Khooban Aarhus University
Huanshui Zhang
Huanshui Zhang Shandong University of Science and Technology
Mohammad Pourmahmood Aghababa
Mohammad Pourmahmood Aghababa Urmia University of Technology
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University
Mohsen Hamzeh
Mohsen Hamzeh University of Tehran
Michael Eikerling
Michael Eikerling Forschungszentrum Jülich

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