Roozbeh Razavi-Far

Orcid: 0000-0002-4330-3656

According to our database1, Roozbeh Razavi-Far authored at least 99 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Decentralized Federated Learning: A Survey on Security and Privacy.
IEEE Trans. Big Data, April, 2024

Resilient Finite-Time Consensus Tracking for Nonholonomic High-Order Chained-Form Systems Against DoS Attacks.
IEEE Trans. Cybern., February, 2024

Area in circle: A novel evaluation metric for object detection.
Knowl. Based Syst., 2024

Expanding analytical capabilities in intrusion detection through ensemble-based multi-label classification.
Comput. Secur., 2024

2023
A Novel Fast Fixed-Time Backstepping Control of DC Microgrids Feeding Constant Power Loads.
IEEE Trans. Ind. Electron., June, 2023

Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Label noise analysis meets adversarial training: A defense against label poisoning in federated learning.
Knowl. Based Syst., April, 2023

Constrained Generative Adversarial Learning for Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., March, 2023

Observer-Based Backstepping Sliding Mode Control Design for Microgrids Feeding a Constant Power Load.
IEEE Trans. Ind. Electron., 2023

Blockchain-Enabled Trust Building for Managing Consensus in Linguistic Opinion Dynamics.
IEEE Trans. Fuzzy Syst., 2023

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids.
CoRR, 2023

Secure and Efficient Group Decision-Making with Blockchain-Based Consensus and Trust Management.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
Robust and Reliable Output Feedback Control for Uncertain Networked Control Systems Against Actuator Faults.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Robust ℓ₁-Controller Design for Discrete-Time Positive T-S Fuzzy Systems Using Dual Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems.
IEEE Trans. Inf. Forensics Secur., 2022

Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System.
IEEE Trans. Dependable Secur. Comput., 2022

Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval.
IEEE Trans. Cybern., 2022

DLIN: Deep Ladder Imputation Network.
IEEE Trans. Cybern., 2022

Decentralized Resilient Output-Feedback Control Design for Networked Control Systems Under Denial-of-Service.
IEEE Syst. J., 2022

Event-Triggered Adaptive Optimal Fast Terminal Sliding Mode Control Under Denial-of-Service Attacks.
IEEE Syst. J., 2022

Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers.
Sensors, 2022

An integrated framework for diagnosing process faults with incomplete features.
Knowl. Inf. Syst., 2022

Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making.
Inf. Sci., 2022

To Tolerate or To Impute Missing Values in V2X Communications Data?
IEEE Internet Things J., 2022

Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies.
Inf. Fusion, 2022

Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms.
CoRR, 2022

Secure Frequency Regulation of Electric Vehicle-connected Microgrid System under Multiple Latency Attacks.
Comput. Electr. Eng., 2022

Optimal Robust Control For Tremor Suppression in Parkinson's Disease.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids.
IEEE Trans. Smart Grid, 2021

Failure Prognosis and Applications - A Survey of Recent Literature.
IEEE Trans. Reliab., 2021

Imputation-Based Ensemble Techniques for Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng., 2021

Intelligent Multiobjective NSBGA-II Control of Power Converters in DC Microgrids.
IEEE Trans. Ind. Electron., 2021

Improved Distributed Prescribed Finite-Time Secondary Control of Inverter-Based Microgrids: Design and Real-Time Implementation.
IEEE Trans. Ind. Electron., 2021

Regression Models With Graph-Regularization Learning Algorithms for Accurate Fault Location in Smart Grids.
IEEE Syst. J., 2021

Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems.
Sensors, 2021

COLI: Collaborative clustering missing data imputation.
Pattern Recognit. Lett., 2021

Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems.
Neurocomputing, 2021

Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems.
Eng. Appl. Artif. Intell., 2021

Multi-objective NSBGA-II control of HIV therapy with monthly output measurement.
Biomed. Signal Process. Control., 2021

Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients.
IEEE Access, 2021

Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure.
Proceedings of the IECON 2021, 2021

A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems.
Proceedings of the IECON 2021, 2021

Rapid Stabilization of DC Microgrids with CPLs: Nonlinear Model Predictive Control.
Proceedings of the IECON 2021, 2021

Dynamic Group Decision Support Models for Locating Faults in Power Systems.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Consensus and Reputation-Based Resilient Control of Networked Microgrids.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data.
IEEE Trans. Smart Grid, 2020

Fault Location in Smart Grids Through Multicriteria Analysis of Group Decision Support Systems.
IEEE Trans. Ind. Informatics, 2020

Similarity-learning information-fusion schemes for missing data imputation.
Knowl. Based Syst., 2020

A dual approach for positive T-S fuzzy controller design and its application to cancer treatment under immunotherapy and chemotherapy.
Biomed. Signal Process. Control., 2020

A neuro-wavelet based approach for diagnosing bearing defects.
Adv. Eng. Informatics, 2020

Secure Communication Based on Fractional Chaotic System by a Novel Robust Filter Algorithm.
Proceedings of the IEEE International Systems Conference, 2020

Adaptive Sliding Mode Fuzzy PID Control: Supervisory Control Systems.
Proceedings of the IEEE International Systems Conference, 2020

Robust Terminal Sliding Mode Observer-Based Sensor Fault Estimation for Uncertain Nonlinear Systems.
Proceedings of the IEEE International Systems Conference, 2020

Cooperative Clustering Missing Data Imputation.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Unknown Input Observers Design For Real-Time Mitigation of the False Data Injection Attacks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Comparative Assessment of Dimensionality Reduction Techniques for Diagnosing Faults in Smart Grids.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Robust finite-time stochastic stabilization and fault-tolerant control for uncertain networked control systems considering random delays and probabilistic actuator faults.
Trans. Inst. Meas. Control, 2019

A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions.
IEEE Trans. Ind. Informatics, 2019

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments.
IEEE Trans. Ind. Electron., 2019

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems.
IEEE Trans. Ind. Electron., 2019

Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables.
IEEE Syst. J., 2019

An integrated imputation-prediction scheme for prognostics of battery data with missing observations.
Expert Syst. Appl., 2019

Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout.
Circuits Syst. Signal Process., 2019

Locating Faults in Smart Grids Using Neuro-Fuzzy Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Extreme Learning Machine Based Prognostics of Battery Life.
Int. J. Artif. Intell. Tools, 2018

State Estimation and Fault Detection of Fractional Order Nonlinear Systems.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Torsional Vibration Identification Using Electrical Signatures Analysis in Induction Machine-Based Systems.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

A Critical Study on the Importance of Feature Extraction and Selection for Diagnosing Bearing Defects.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Ensemble of One-Class Classifiers for Detecting Faults in Induction Motors.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors.
IEEE Trans. Ind. Informatics, 2017

zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection.
IEEE Trans. Ind. Electron., 2017

Dimensionality reduction-based diagnosis of bearing defects in induction motors.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Robust fault-tolerant control of uncertain networked control systems subject to random delays and data packet dropouts.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fractional order unknown input filter design for fault detection of discrete linear systems.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Broken rotor bars detection in induction motors using Cubature Kalman Filter.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

One-class classifiers for detecting faults in induction motors.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Multi-step parallel-strategy for estimating the remaining useful life of batteries.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Imputation of missing data using fuzzy neighborhood density-based clustering.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A supervised cooperative clustering scheme for diagnosing process faults in an industrial plant.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Invasive weed classification.
Neural Comput. Appl., 2015

Imputation of Missing Data for Diagnosing Sensor Faults in a Wind Turbine.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Multiple Imputation of Missing Residuals for Fault Classification: A Wind Turbine Application.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios.
Expert Syst. Appl., 2014

Optimal detection of new classes of faults by an Invasive Weed Optimization method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Plant-wide performance optimisation - The refrigeration system case.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions.
Reliab. Eng. Syst. Saf., 2011

2009
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks.
Neurocomputing, 2009


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