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Khashayar Khorasani

Khashayar Khorasani

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
14572
World Ranking
1231
National Ranking
64

Overview

Khashayar Khorasani is affiliated with Concordia University in Canada. Their research spans key areas within engineering and computer science, with a focus on control systems, network security, and fault diagnosis.

The primary fields of study addressed in their work include:

  • Engineering
  • Computer Science

Within these fields, Khorasani has contributed extensively to subfields such as:

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Artificial Intelligence

Key research topics covered in their publications include:

  • Smart Grid Security and Resilience
  • Network Security and Intrusion Detection
  • Advanced Adaptive Filtering Techniques
  • Fault Detection and Control Systems
  • Machine Fault Diagnosis Techniques
  • Distributed Control Multi-Agent Systems
  • Acoustic Wave Phenomena Research

Khorasani's frequent coauthors are:

  • Nader Meskin
  • Mahdi Taheri
  • Iman Shames
  • Yegui Xiao
  • Yaping Ma

Common venues for their publications are:

  • arXiv (Cornell University)
  • 2020 IEEE Conference on Control Technology and Applications (CCTA)
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • IEEE Transactions on Control Systems Technology
  • IEEE Access

Selected recent papers authored or coauthored by Khorasani include:

  • "Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines," 2020, Neural Networks
  • "An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies," 2023, IEEE Transactions on Instrumentation and Measurement
  • "A Cyber-Security Methodology for a Cyber-Physical Industrial Control System Testbed," 2021, IEEE Access
  • "Cyberattack and Machine-Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems," 2023, IEEE Transactions on Control Systems Technology
  • "Stochastic fault and cyber-attack detection and consensus control in multi-agent systems," 2021, International Journal of Control

The breadth of Khorasani's work reflects interdisciplinary approaches intersecting adaptive control, security frameworks for cyber-physical systems, and machine learning applications targeting fault diagnosis and system resilience in complex engineering environments.

Best Publications

  • An integral manifold approach to the feedback control of flexible joint robots

    M. Spong;K. Khorasani;P. Kokotovic

  • Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients

    Bahareh Pourbabaee;Mehrsan Javan Roshtkhari;Khashayar Khorasani

  • Facial expression recognition using constructive feedforward neural networks

    L. Ma;K. Khorasani

  • Multi-agent team cooperation: A game theory approach

    E. Semsar-Kazerooni;K. Khorasani

  • Failure Prognosis and Applications—A Survey of Recent Literature

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

  • A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem

    H.A. Talebi;K. Khorasani;S. Tafazoli

  • Dynamic neural network-based fault diagnosis of gas turbine engines

    S. Sina Tayarani-Bathaie;Z. N. Sadough Vanini;K. Khorasani

  • Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines

    Bahareh Pourbabaee;Nader Meskin;Khashayar Khorasani

  • Simultaneous fault detection and consensus control design for a network of multi-agent systems

    Mohammadreza Davoodi;Nader Meskin;Khashayar Khorasani

  • Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles

    N. Meskin;K. Khorasani

  • Optimal consensus algorithms for cooperative team of agents subject to partial information

    E. Semsar-Kazerooni;K. Khorasani

  • Adaptive control of flexible joint robots

    K. Khorasani

  • Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach

    Z. N. Sadough Vanini;K. Khorasani;N. Meskin

  • $H_{\infty}$ Consensus Achievement of Multi-Agent Systems With Directed and Switching Topology Networks

    Iman Saboori;Khashayar Khorasani

  • Constructive feedforward neural networks using Hermite polynomial activation functions

    Liying Ma;K. Khorasani

  • An adaptive structure neural networks with application to EEG automatic seizure detection

    W. Weng;K. Khorasani

  • Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

    Ehsan Sobhani-Tehrani;Khashayar Khorasani

  • Distributed Fault Detection and Isolation Filter Design for a Network of Heterogeneous Multiagent Systems

    Mohammad Reza Davoodi;Khashayar Khorasani;Heidar Ali Talebi;Hamid Reza Momeni

  • An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines

    M. Amozegar;K. Khorasani

  • Parameter Estimation-Based Fault Detection, Isolation and Recovery for Nonlinear Satellite Models

    T. Jiang;K. Khorasani;S. Tafazoli

  • Dynamic Neural Network-based Fault Diagnosis of Gas Turbine Engines

    Sina S. Tayarani-Bathaie;Zakieh Sadough;Khashayar Khorasani

Frequent Co-Authors

Rajni V. Patel
Rajni V. Patel University of Western Ontario
Heidar Ali Talebi
Heidar Ali Talebi Amirkabir University of Technology
Petar V. Kokotovic
Petar V. Kokotovic University of California, Santa Barbara
Mark W. Spong
Mark W. Spong The University of Texas at Dallas
Mehrdad Moallem
Mehrdad Moallem Simon Fraser University
Mehrdad Saif
Mehrdad Saif University of Windsor
M.A. Pai
M.A. Pai University of Illinois at Urbana-Champaign
Peter W. Sauer
Peter W. Sauer University of Illinois at Urbana-Champaign
Humberto Pinheiro
Humberto Pinheiro Universidade Federal de Santa Maria

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