World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
64
Citations
13892
World Ranking
1667
National Ranking
541

Research.com Recognitions

  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1999 - IEEE Fellow For contributions to stochastic stability and control theory with applications to engineering systems.

Overview

Kenneth A. Loparo is affiliated with Case Western Reserve University in the United States. Their work spans multiple disciplines with a primary focus on engineering and medicine. The scientist has contributed extensively to electrical and electronic engineering, neurology, control and systems engineering, cognitive neuroscience, and biomedical engineering.

The main topics covered in Loparo's research include Parkinson's Disease mechanisms and treatments, smart grid energy management, neurological disorders and treatments, microgrid control and optimization, neuroscience and neural engineering, heart rate variability and autonomic control, and EEG and brain-computer interfaces.

Recent notable publications by Loparo include:

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Highly Digital Multiantenna Ground-Penetrating Radar (GPR) System, 2020, IEEE Transactions on Instrumentation and Measurement
  • α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States, 2020, IEEE Journal of Biomedical and Health Informatics
  • Voltage Regulation of DC-Microgrid With PV and Battery, 2020, IEEE Transactions on Smart Grid
  • INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit, 2020, Journal of Biomedical Informatics

Loparo often collaborates with a number of frequent co-authors, including Farhad Kaffashi, Luka Strezoski, Jiang Wang, Amirhossein Sajadi, and Molly McVoy.

The venues in which Loparo publishes reflect their interdisciplinary focus and include arXiv (Cornell University), SLEEP, IEEE Transactions on Power Systems, Journal of the American Academy of Child & Adolescent Psychiatry, and IEEE Journal of Biomedical and Health Informatics.

Loparo has been recognized with several distinctions such as being named a Fellow of the Indian National Academy of Engineering in 2015 and an IEEE Fellow in 1999 for contributions to stochastic stability and control theory with applications to engineering systems.

Best Publications

  • Stochastic stability properties of jump linear systems

    X. Feng;K.A. Loparo;Y. Ji;H.J. Chizeck

  • Bearing fault diagnosis based on wavelet transform and fuzzy inference

    Xinsheng Lou;Kenneth A Loparo

  • Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics

    Hasan Ocak;Kenneth A. Loparo;Fred M. Discenzo

  • Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons

    Shuangming Yang;Bin Deng;Jiang Wang;Huiyan Li

  • Analysis of the value for unit commitment of improved load forecasts

    B.F. Hobbs;S. Jitprapaikulsarn;S. Konda;V. Chankong

  • Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)

    Huseyin M. Ertunc;Kenneth A. Loparo;Hasan Ocak

  • Stochastic stability of jump linear systems

    Yuguang Fang;K.A. Loparo

  • System til detektering og fölgning af vågenhed og dösighed

    Kaplan Frederic Richard;Loparo Kenneth Alan

  • A neural-network approach to fault detection and diagnosis in industrial processes

    Y. Maki;K.A. Loparo

  • Stabilization of continuous-time jump linear systems

    Yuguang Fang;K.A. Loparo

  • Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data

    Hasan Ocak;Kenneth A Loparo

  • Machine diagnostic system and method for vibration analysis

    Carl J. Dister;Frederick M. Discenzo;Kenneth A. Loparo

  • A new bearing fault detection and diagnosis scheme based on hidden Markov modeling of vibration signals

    H. Ocak;K.A. Loparo

  • Physically based diagnosis and prognosis of cracked rotor shafts

    Charles H. Oppenheimer;Kenneth A. Loparo

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

    Shuangming Yang;Jiang Wang;Xinyu Hao;Huiyan Li

  • Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems

    Huiying Zhao;Mingguo Hong;Wei Lin;Kenneth A. Loparo

  • Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis

    Frederick M. Discenzo;Dukki Chung;Joseph K. Zevchek;Jan Bezdicek

  • HMM-Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings

    Hasan Ocak;Kenneth A. Loparo

  • Intelligent fluid sensor for machinery diagnostics, prognostics, and control

    Frederick M. Discenzo;Dukki Chung;Martin W. Kendig;Kenneth A. Loparo

  • The effect of time delay on Approximate & Sample Entropy calculations

    Farhad Kaffashi;Ryan Foglyano;Christopher G. Wilson;Kenneth A. Loparo

  • Fault detection and diagnosis of rotating machinery

    K.A. Loparo;M.L. Adams;W. Lin;M.F. Abdel-Magied

  • Inequalities for the trace of matrix product

    Yuguang Fang;K.A. Loparo;Xiangbo Feng

  • Artificial Intelligence, Simulation, and Modeling

    Lawrence E. Widman;Kenneth A. Loparo

Frequent Co-Authors

Samden D. Lhatoo
Samden D. Lhatoo The University of Texas Health Science Center at Houston
Susan Redline
Susan Redline Brigham and Women's Hospital
Yuguang Fang
Yuguang Fang City University of Hong Kong
Bin Deng
Bin Deng Tianjin University
Wei Lin
Wei Lin Case Western Reserve University
Kingman P. Strohl
Kingman P. Strohl Case Western Reserve University
Timothy J. Kinsella
Timothy J. Kinsella Brown University
Soo-Jin Park
Soo-Jin Park Inha University
Katie L. Stone
Katie L. Stone University of California, San Francisco
Shaun Purcell
Shaun Purcell Harvard Medical School

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