D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Canada
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 50 Citations 8,600 225 World Ranking 1772 National Ranking 97

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in Canada Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His primary scientific interests are in Control theory, Artificial neural network, Fault detection and isolation, Nonlinear system and Control engineering. His work on Control theory is being expanded to include thematically relevant topics such as Multi-agent system. His Artificial neural network research entails a greater understanding of Artificial intelligence.

His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Pattern recognition. While the research belongs to areas of Nonlinear system, Khashayar Khorasani spends his time largely on the problem of Jet engine, intersecting his research to questions surrounding Computational intelligence and Infinite impulse response. His research links Actuator with Control engineering.

His most cited work include:

  • An integral manifold approach to the feedback control of flexible joint robots (390 citations)
  • Facial expression recognition using constructive feedforward neural networks (207 citations)
  • Multi-agent team cooperation: A game theory approach (187 citations)

What are the main themes of his work throughout his whole career to date?

Khashayar Khorasani mainly investigates Control theory, Fault detection and isolation, Control engineering, Nonlinear system and Artificial neural network. His research ties Multi-agent system and Control theory together. His research integrates issues of Stability, Gas compressor and Gas turbines in his study of Control engineering.

His Nonlinear system study integrates concerns from other disciplines, such as Singular perturbation, Particle filter and State. His work on Feedforward neural network, Backpropagation and Time delay neural network as part of general Artificial neural network study is frequently connected to Constructive, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition.

He most often published in these fields:

  • Control theory (59.85%)
  • Fault detection and isolation (30.29%)
  • Control engineering (24.45%)

What were the highlights of his more recent work (between 2013-2021)?

  • Control theory (59.85%)
  • Fault detection and isolation (30.29%)
  • Control engineering (24.45%)

In recent papers he was focusing on the following fields of study:

Control theory, Fault detection and isolation, Control engineering, Multi-agent system and Actuator are his primary areas of study. Khashayar Khorasani interconnects Control and Bounded function in the investigation of issues within Control theory. In general Control engineering study, his work on Attitude control often relates to the realm of Foundation, thereby connecting several areas of interest.

His Multi-agent system research incorporates themes from Network topology, Cyber-attack and Distributed computing. His Actuator study combines topics in areas such as Accommodation and Control reconfiguration. His Nonlinear system study incorporates themes from Artificial neural network, Particle filter and Turbine.

Between 2013 and 2021, his most popular works were:

  • Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients (143 citations)
  • Dynamic neural network-based fault diagnosis of gas turbine engines (132 citations)
  • Simultaneous fault detection and consensus control design for a network of multi-agent systems (104 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Machine learning

Khashayar Khorasani spends much of his time researching Control theory, Fault detection and isolation, Artificial neural network, Control engineering and Actuator. His research investigates the connection between Control theory and topics such as Multi-agent system that intersect with problems in Network topology. His work deals with themes such as Classifier and Gas turbines, which intersect with Artificial neural network.

As part of one scientific family, Khashayar Khorasani deals mainly with the area of Control engineering, narrowing it down to issues related to the Gas compressor, and often Distributed generation and Condition monitoring. His study in Actuator is interdisciplinary in nature, drawing from both Control, Accommodation and Control reconfiguration. Khashayar Khorasani has included themes like Kalman filter, Piecewise linear function, Jet engine and Prognostics in his Nonlinear system study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

M. Spong;K. Khorasani;P. Kokotovic.
international conference on robotics and automation (1987)

516 Citations

Facial expression recognition using constructive feedforward neural networks

L. Ma;K. Khorasani.
systems man and cybernetics (2004)

319 Citations

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

Bahareh Pourbabaee;Mehrsan Javan Roshtkhari;Khashayar Khorasani.
IEEE Transactions on Systems, Man, and Cybernetics (2018)

294 Citations

Multi-agent team cooperation: A game theory approach

E. Semsar-Kazerooni;K. Khorasani.
Automatica (2009)

276 Citations

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.
IEEE Transactions on Neural Networks (2009)

238 Citations

Dynamic neural network-based fault diagnosis of gas turbine engines

S. Sina Tayarani-Bathaie;Z. N. Sadough Vanini;K. Khorasani.
Neurocomputing (2014)

220 Citations

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

E. Semsar-Kazerooni;K. Khorasani.
Automatica (2008)

206 Citations

Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles

N. Meskin;K. Khorasani.
IEEE Transactions on Automatic Control (2009)

197 Citations

Adaptive control of flexible joint robots

K. Khorasani.
international conference on robotics and automation (1991)

193 Citations

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

Mohammadreza Davoodi;Nader Meskin;Khashayar Khorasani.
Automatica (2016)

174 Citations

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