Kenneth Loparo
Arthur L. Parker Professor
Yang, S., Wang, J., Hao, X., Li, H., Wei, X., Deng, B., ... Loparo, K. A.
(2021).
BiCoSS: Toward large-scale cognition brain with multigranular neuromorphic architecture.
IEEE Transactions on Neural Networks and Learning Systems,
().
Sajadi, A., Strezoski, L., Khodaei, A., Loparo, K. A., Fotuhi-Firuzabad, M., Preece, R., ... Others
(2021).
Guest Editorial: Special Issue on recent advancements in electric power system planning with high-penetration of renewable energy resources and dynamic loads.
International Journal of Electrical Power \& Energy Systems,
129
(),
106597.
Sun, J., Lin, W., Hong, M., & Loparo, K. A.
(2020).
Voltage Regulation of DC-Microgrid with PV and Battery.
Smart Grid, IEEE Transactions on,
11
(6),
4662-4675.
Sun, J., Lin, W., Hong, M., & Loparo, K. A.
(2020).
Voltage Regulation of DC-Microgrid with PV and Battery.
Smart Grid, IEEE Transactions on,
11
(6),
4662-4675.
Sun, J., Hong, M., Loparo, K. A., & Hong, M.
(2020).
Voltage Regulation of DC-Microgrid with PV and Battery.
IEEE Trans. on Smart Grid ,
11
(6),
4662-4675.
Srivastav, A., Nguyen, P., McConnell, M., Loparo, K. A., & Mandal, S.
(2020).
A Highly Digital Multiantenna Ground-Penetrating Radar (GPR) System.
IEEE Transactions on Instrumentation and Measurement,
69
(10),
7422-7436.
Ye, Y., Hou, S., Fan, Y., Zhang, Y., Qian, Y., Sun, S., ... Loparo, K. A.
(2020).
a-Satellite: An AI-driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE Transactions on Information Technology in Biomedicine,
24
(10),
2755-2764.
Ye, F., Hou, S., Fan, Y., Zhang, Y., Qian, Y., Sun, S., ... Loparo, K. A.
(2020).
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE Journal of Biomedical and Health Informatics,
24
(10),
2755-2764.
Parizy, E., Bahrami, H., & Loparo, K. A.
(2020).
A Decentralized Three-Level Optimization Scheme for Optimal Planning of a Prosumer Nano-Grid.
IEEE Transactions on Power Systems,
35
(5),
3421-3432.
Sajadi, A., Clark, K., & Loparo, K. A.
(2020).
Statistical Steady-State Stability Analysis for Transmission System Planning for Offshore Wind Power Plant Integration.
Clean Technologies,
2
(3),
311-332.
Theeranaew, W., Kim, H., Loparo, K. A., Kim, J., & Shaikh, A.
(2020).
Hyperventilation Increases the Randomness of Ocular Palatal Tremor Waveforms.
The Cerebellum,
().
Theeranaew, W., Thurtell, M., Loparo, K. A., & Shaikh, A.
(2020).
Gabapentin and memantine increases randomness of oscillatory waveform in ocular palatal tremor.
Journal of Computational Neuroscience,
().
Sun, Y., Kolacinski, R., & Loparo, K. A.
(2020).
Transitive Topic Modeling with Conversational Structure Context: Discovering Topics that are Most Popular in Online Discussions.
International Journal of Semantic Computing,
14
(02),
273-293.
Sun, J., Guo, Y., Jacono, F., DeGeorgia, M., & Loparo, K. A.
(2020).
INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit..
Journal of biomedical informatics,
106
(),
103434.
Tackett, S., Guo, F., Clifford, C., Campanaro, C., Nethery, D., Horton, K., ... Jacono, F.
(2020).
Translational Study Tracking Dynamic Changes in Cardiac Pattern Variability and Systemic Inflammation in Critically Ill Patients.
The FASEB Journal,
34
(S1),
1-1.
Grezmak, J., Zhang, J., Wang, P., Loparo, K. A., & Gao, R. X.
(2020).
Interpretable Convolutional Neural Network through Layer-wise Relevance Propagation for Machine Fault Diagnosis.
IEEE Sensors Journal,
20
(6),
3172-3181.
Grezmak, J., Zhang, J., Wang, P., Loparo, K. A., & Gao, R. X.
(2020).
Interpretable Convolutional Neural Network through Layer-wise Relevance Propagation for Machine Fault Diagnosis.
IEEE Sensors Journal,
20
(6),
3172-3181.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A.
(2020).
The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations.
Neural Networks,
123
(),
381-392.
Strezoski, L., Dumnic, B., Popadic, B., Prica, M., & Loparo, K. A.
(2020).
Novel Fault Models for Electronically Coupled Distributed Energy Resources and their Laboratory Validation.
IEEE Transactions on Power Systems,
35
(2),
1209-1217.
Ye, F., Hou, S., Fan, Y., Zhang, Y., Qian, Y., Sun, S., ... Loparo, K. A.
(2020).
$$\backslash$alpha $-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE Journal of Biomedical and Health Informatics,
24
(10),
2755--2764.
Parizy, E., Ardakani, A., Mohammadi, A., & Loparo, K. A.
(2020).
A new quantitative load profile measure for demand response performance evaluation.
International Journal of Electrical Power \& Energy Systems,
121
(),
106073.
Ge, Y., Ye, H., & Loparo, K. A.
(2020).
Agent-Based Privacy Preserving Transactive Control for Managing Peak Power Consumption.
IEEE Transactions on Smart Grid,
11
(6),
4883--4890.
Parizy, E., Ardakani, A., Mohammadi, A., & Loparo, K. A.
(2020).
Co-designed Incentives for an Aimed Renewable Energy Contribution and Volunteer Load Shedding.
IET Renewable Power Generation,
14
(12),
2287--2295.
Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A.
(2020).
Comments and Corrections Corrections to “Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease”.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
28
(3),
766--766.
Sun, Y., & Loparo, K. A.
(2020).
Context aware image annotation in active learning.
arXiv preprint arXiv:2002.02775,
().
Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A.
(2020).
Erratum: Application of reinforcement learning to deep brain stimulation in a computational model of Parkinson's disease (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) 28: 1 (339-349.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
28
(3),
9027068.
Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A.
(2020).
Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson's Disease.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
28
(1),
339-349.
Theeranaew, W., Thurtell, M., Loparo, K. A., & Shaikh, A.
(2020).
Gabapentin and memantine increases randomness of oscillatory waveform in ocular palatal tremor.
Journal of Computational Neuroscience,
(),
1--13.
Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., ... Loparo, K. A.
(2020).
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network with Multi-Compartment Neurons.
IEEE Transactions on Neural Networks and Learning Systems,
31
(1),
148-162.
Theeranaew, W., Kim, H., Loparo, K. A., Kim, J., & Shaikh, A.
(2020).
Hyperventilation Increases the Randomness of Ocular Palatal Tremor Waveforms.
The Cerebellum,
(),
1--8.
Liu, C., Zhao, G., Wang, J., Wu, H., Li, H., Fietkiewicz, C., ... Loparo, K. A.
(2020).
Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson's Disease.
IEEE Access,
(),
1-1.
Liu, C., Zhao, G., Wang, J., Wu, H., Li, H., Fietkiewicz, C., ... Loparo, K. A.
(2020).
Neural network-based closed-loop deep brain stimulation for modulation of pathological oscillation in Parkinson’s disease.
IEEE Access,
8
(),
161067--161079.
Sandhu, A., Wang, Y., Bena, J., Loparo, K. A., Taylor, J., Nawabit, R., ... Others
(2020).
0614 Diurnal Patterning of Autonomic Measures in Sleep Apnea and Paroxysmal Atrial Fibrillation and Response to Continuous Positive Airway Pressure Therapy.
Sleep,
43
(Supplement\_1),
A235--A235.
Mann, J., Vandendriessche, B., Jacono, F., & Loparo, K. A.
(2020).
Data Collection and Analysis in the ICU.
Neurocritical Care Informatics,
(),
111--134.
Sajadi, A., Strezoski, L., Kolacinski, R., & Loparo, K. A.
(2020).
Transmission System Planning for Integration of Renewable Electricity Generation Units.
arXiv preprint arXiv:2001.03449,
().
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2019).
Noise-Induced Improvement of the Parkinsonian State: A Computational Study.
IEEE Transactions on Cybernetics,
49
(10),
3655-3664.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2019).
Noise-Induced Improvement of the Parkinsonian State: A Computational Study.
IEEE Transactions on Cybernetics,
49
(10),
3655-3664.
Sajadi, A., Zhao, S., Clark, K., & Loparo, K. A.
(2019).
Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants.
IEEE Systems Journal,
13
(3),
3070-3079.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., ... Loparo, K. A.
(2019).
Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Transactions on Cybernetics,
49
(7),
2490-2503.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., ... Loparo, K. A.
(2019).
Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Transactions on Cybernetics,
49
(7),
2490-2503.
Young, B., Loparo, K. A., Dick, T., & Jacono, F.
(2019).
Ventilatory pattern variability as a biometric for severity of acute lung injury in rats.
Respiratory Physiology and Neurobiology,
265
(),
161-171.
McVoy, M., Aebi, M., Loparo, K. A., Lytle, S., Morris, A., Woods, N., ... Sajatovic, M.
(2019).
Resting-state quantitative electroencephalography demonstrates differential connectivity in adolescents with major depressive disorder.
Journal of Child and Adolescent Psychopharmacology,
29
(5),
370-377.
Zhao, S., & Loparo, K. A.
(2019).
Forward and backward extended Prony method for complex exponential signals with/without additive noise.
Digital Signal Processing: A Review Journal,
86
(),
42-54.
Agharazi, H., Kolacinski, R. M., Theeranaew, W., & Loparo, K. A.
(2019).
A swarm intelligence-based approach to anomaly detection of dynamic systems.
Swarm and Evolutionary Computation,
44
(),
806-827.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., ... Loparo, K. A.
(2019).
Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Transactions on Fuzzy Systems,
27
(2),
304-318.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., ... Loparo, K. A.
(2019).
Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Transactions on Fuzzy Systems,
27
(2),
304-318.
Raffay, T., Dylag, A., Sattar, A., Abu Jawdeh, E., Cao, S., Pax, B., ... Di Fiore, J.
(2019).
Neonatal intermittent hypoxemia events are associated with diagnosis of bronchopulmonary dysplasia at 36 weeks postmenstrual age.
Pediatric Research,
85
(3),
318-323.
Sajadi, A., Strezoski, L., Strezoski, V., Prica, M., & Loparo, K. A.
(2019).
Integration of renewable energy systems and challenges for dynamics, control, and automation of electrical power systems.
Wiley Interdisciplinary Reviews: Energy and Environment,
8
(1).
Sajadi, A., Kolacinski, R., Clark, K., & Loparo, K. A.
(2019).
Transient Stability Analysis for Offshore Wind Power Plant Integration Planning Studies�Part II: Long-Term Faults.
IEEE Transactions on Industry Applications,
55
(1),
193-202.
Sajadi, A., Kolacinski, R., Clark, K., & Loparo, K. A.
(2019).
Transient Stability Analysis for Offshore Wind Power Plant Integration Planning Studies�Part I: Short-Term Faults.
IEEE Transactions on Industry Applications,
55
(1),
182-192.
Zhao, S., & Loparo, K. A.
(2019).
Forward and backward extended Prony method for complex exponential signals with/without additive noise.
Digital Signal Processing,
86
(),
42--54.
Vilella, L., Lacuey, N., Hampson, J., Rani, M., Loparo, K. A., Sainju, R., ... Others
(2019).
Incidence, Recurrence, and Risk Factors for Peri-ictal Central Apnea and Sudden Unexpected Death in Epilepsy.
Frontiers in neurology,
10
().
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A.
(2019).
Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model.
IEEE Transactions on Cybernetics,
(),
1-11.
Strezoski, L., VOJNOVIC, N., Strezoski, V., VIDOVIC, P., Prica, M., & Loparo, K. A.
(2019).
Modeling challenges and potential solutions for integration of emerging DERs in DMS applications: power flow and short-circuit analysis.
Journal of Modern Power Systems and Clean Energy,
(),
1--20.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A.
(2019).
Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model.
IEEE Transactions on Cybernetics,
(),
1-11.
Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., ... Loparo, K. A.
(2019).
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.
IEEE transactions on neural networks and learning systems,
().
Young, B., Loparo, K. A., Dick, T., & Jacono, F.
(2019).
Ventilatory Pattern Variability as a Biometric for Severity of Acute Lung Injury in Rats.
Respiratory Physiology \& Neurobiology,
().
Zhao, H., Hong, M., & Loparo, K. A.
(2019).
Voltage and frequency regulation of microgrid with battery energy storage systems.
IEEE Transactions on Smart Grid,
10
(1),
414-424.
Threeanaew, W., MacDonald, J., Sinha, A., Lhatoo, S., & Loparo, K. A.
(2019).
Collection and Analysis of Multimodal Data for SUDEP Biomarker Discovery.
IEEE Sensors Letters,
3
(1),
1--4.
McVoy, M., Aebi, M., Loparo, K. A., Lytle, S., Morris, A., Woods, N., ... Others
(2019).
Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder.
Journal of child and adolescent psychopharmacology,
().
Agharazi, H., Kolacinski, R. M., Theeranaew, W., & Loparo, K. A.
(2019).
A swarm intelligence-based approach to anomaly detection of dynamic systems.
Swarm and Evolutionary Computation,
44
(),
806--827.
Sajadi, A., Kolacinski, R. M., Clark, K., & Loparo, K. A.
(2019).
Transient Stability Analysis for Offshore Wind Power Plant Integration Planning Studies—Part I: Short-Term Faults.
IEEE Transactions on Industry Applications,
55
(1),
182--192.
Kobayashi, L., Oyalowo, A., Agrawal, U., Chen, S., Asaad, W., Huang, X., ... Merck, D.
(2019).
Development and Deployment of an Open, Modular, Near-Real-Time Patient Monitor Datastream Conduit Toolkit to Enable Healthcare Multimodal Data Fusion in a Live Emergency Department Setting for Experimental Bedside Clinical Informatics Research.
IEEE Sensors Letters,
3
(1),
1-4.
Esmaeili, B., Theeranaew, W., Dabir, A., Lhatoo, S., & Loparo, K. A.
(2018).
Post-ictal Modulation of Baroreflex Sensitivity in Patients With Intractable Epilepsy.
Frontiers in Neurology,
9
().
Agharazi, H., Kolacinski, R., Theeranaew, W., & Loparo, K. A.
(2018).
A swarm intelligence-based approach to anomaly detection of dynamic systems.
Swarm and Evolutionary Computation,
().
Mariani, S., Tarokh, L., Djonlagic, I., Cade, B., Morrical, M., Yaffe, K., ... Aeschbach, D.
(2018).
Evaluation of an automated pipeline for large-scale EEG spectral analysis: the National Sleep Research Resource.
Sleep Medicine,
47
(),
126-136.
Thungtong, A., Knoch, M., Jacono, F., Dick, T., & Loparo, K. A.
(2018).
Periodicity: A Characteristic of Heart Rate Variability Modified by the Type of Mechanical Ventilation After Acute Lung Injury.
Frontiers in Physiology,
9
().
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2018).
Modeling and Analysis of Beta Oscillations in the Basal Ganglia.
IEEE Transactions on Neural Networks,
29
(5),
1864-1875.
George, J., Wang, Y., Nawabit, R., Walia, H., Punjabi, N., Patel, S., ... Mehra, R.
(2018).
0444 Impact of CPAP versus Supplemental Oxygen on Cardiac Electophysiological Indices in Obstructive Sleep Apnea: The HeartBEAT study.
SLEEP,
41
(suppl_1),
A168-A168.
Strezoski, L., Prica, M., & Loparo, K. A.
(2018).
Sequence Domain Calculation of Active Unbalanced Distribution Systems Affected by Complex Short Circuits.
IEEE Transactions on Power Systems,
33
(2),
1891-1902.
Theeranaew, W., McDonald, J., Zonjy, B., Moseley, B., Friedman, D., So, E., ... Loparo, K. A.
(2018).
Automated Detection of Postictal Generalized EEG Suppression.
IEEE Transactions on Biomedical Engineering,
65
(2),
371-377.
Lacuey, N., Hampson, J., Theeranaew, W., Zonjy, B., Vithala, A., Hupp, N., ... Lhatoo, S.
(2018).
Cortical Structures Associated With Human Blood Pressure Control.
Archives of Neurology,
75
(2).
Sajadi, A., Strezoski, L., Clark, K., Prica, M., & Loparo, K. A.
(2018).
Transmission system protection screening for integration of offshore wind power plants.
Renewable Energy,
().
Agharazi, H., Theeranaew, W., Kolacinski, R. M., & Loparo, K. A.
(2018).
AN INFORMATION-THEORETIC.
,
().
Sajadi, A., Zhao, S., Clark, K., & Loparo, K. A.
(2018).
Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants.
IEEE Systems Journal,
(),
1-10.
Raffay, T., Dylag, A., Sattar, A., Abu, E., Cao, S., Pax, B., ... Di Fiore, J.
(2018).
Neonatal intermittent hypoxemia events are associated with diagnosis of bronchopulmonary dysplasia at 36 weeks postmenstrual age..
Pediatric research,
(),
1.
Sajadi, A., Zhao, S., Clark, K., & Loparo, K. A.
(2018).
Small-Signal Stability Analysis of Large-Scale Power Systems in Response to Variability of Offshore Wind Power Plants.
IEEE Systems Journal,
().
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., ... Loparo, K. A.
(2018).
Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Transactions on Fuzzy Systems,
(),
1-Jan.
Liu, C., Zhou, C., Wang, J., & Loparo, K. A.
(2018).
Mathematical Modeling for Description of Oscillation Suppression Induced by Deep Brain Stimulation.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
(),
1-Jan.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2018).
Noise-Induced Improvement of the Parkinsonian State: A Computational Study.
IEEE Transactions on Cybernetics,
(),
10-Jan.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., ... Loparo, K. A.
(2018).
Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Transactions on Cybernetics,
(),
14-Jan.
Theeranaew, W., McDonald, J., Sinha, A., Lhatoo, S., & Loparo, K. A.
(2018).
Integrative Analysis of Multimodal Data for SUDEP Biomarker Discovery.
IEEE Sensors Letters,
().
Esmaeili, B., Theeranaew, W., Dabir, A., Lhatoo, S., & Loparo, K. A.
(2018).
Post-ictal Modulation of Baroreflex Sensitivity in Patients With Intractable Epilepsy.
Frontiers in neurology,
9
(),
793.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2017).
Modeling and Analysis of Beta Oscillations in the Basal Ganglia.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,
PP
(99).
Crawford, A., Armstrong, K., Loparo, K. A., Audu, M. L., & Triolo, R.
(2017).
Detecting destabilizing wheelchair conditions for maintaining seated posture.
Disability and Rehabilitation: Assistive Technology,
(),
8.
Liao, W., Salinas, S., Li, Z., Li, P., & Loparo, K. A.
(2017).
Cascading Failure Attacks in the Power System: A Stochastic Game Perspective.
IEEE Internet of Things Journal,
().
Vandendriessche, B., Abas, M., Dick, T., Loparo, K. A., & Jacono, F.
(2017).
A Framework for Patient State Tracking by Classifying Multiscalar Physiologic Waveform Features.
IEEE Transactions on Biomedical Engineering,
(),
1-1.
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., ... Loparo, K. A.
(2017).
Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.
Scientific Reports,
7
().
Liao, W., Salinas, S., Li, Z., Liu, P., & Loparo, K. A.
(2017).
Cascading Failure Attacks in the Power System: A Stochastic Game Perspective.
IEEE Internet of Things Journal,
(),
1-1.
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., ... Loparo, K. A.
(2017).
Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.
Scientific Reports,
7
(),
40152.
Zhao, S., & Loparo, K. A.
(2017).
Forward and Backward Extended Prony (FBEP) Method for Power System Small-Signal Stability Analysis.
IEEE Transactions on Power Systems,
().
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A.
(2017).
Modeling and Analysis of Beta Oscillations in the Basal Ganglia.
IEEE Transactions on Neural Networks,
(),
1-12.
Lu, M., Wei, X., & Loparo, K. A.
(2017).
Investigating Synchronous Oscillation and Deep Brain Stimulation Treatment in A Model of Cortico-Basal Ganglia Network.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
(),
1-1.
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., ... Loparo, K. A.
(2017).
Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.
Neural Networks,
88
(),
65-73.
Strezoski, L., Prica, M., & Loparo, K. A.
(2017).
Sequence Domain Calculation of Active Unbalanced Distribution Systems Affected by Complex Short-Circuits.
IEEE Transactions on Power Systems,
(),
1-1.
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., ... Loparo, K. A.
(2017).
Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.
Neural Networks,
88
(),
65–73.
Vandendriessche, B., Abas, M., Nethery, D., Dick, T., Loparo, K. A., & Jacono, F.
(2017).
Trajectory of multiscalar variability dynamics in a physiologic state space correlates with mortality in septic patients.
Journal of Critical Care,
38
(),
367-368.
Vandendriessche, B., Abas, M., Nethery, D., Dick, T., Loparo, K. A., & Jacono, F.
(2017).
Trajectory of multiscalar variability dynamics in a physiologic state space correlates with mortality in septic patients.
Journal of Critical Care,
38
(),
367–368.
Zhao, H., Hong, M., Lin, W., & Loparo, K. A.
(2017).
Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems.
Smart Grid, IEEE Transactions on,
(),
1-1.
Hong, M., Yu, X., Yu, N., Loparo, K. A., & Others
(2016).
An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids.
IEEE,
().
Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., Phillips, R., Walter, B., & Loparo, K. A.
(2016).
Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals with Parkinson's Disease.
IEEE Transactions on Neural Systems and Rehabilitation Engineering [15344320],
24
(11),
1254-1264.
Liu, F., Wang, J., Liu, C., Li, H., Deng, B., Fietkiewicz, C., ... Loparo, K. A.
(2016).
A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease.
Chaos: An Interdisciplinary Journal of Nonlinear Science,
26
(12),
123113.
Yaqub, M., & Loparo, K. A.
(2016).
An automated approach for bearing damage detection.
Journal of Vibration and Control,
22
(14),
3253–3266.
Fietkiewicz, C., & Loparo, K. A.
(2016).
Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy.
Scientifica,
2016
(3628247).
Sajadi, A., Roslaniec, L., Klos, M., Biczel, P., & Loparo, K. A.
(2016).
An emulator for fixed pitch wind turbine studies.
Renewable Energy [09601481],
87
(),
391-402.
Liu, C., Wang, J., Deng, B., Wei, X., Yu, H., Li, H., ... Loparo, K. A.
(2016).
Closed-Loop Control of Tremor-Predominant Parkinsonian State Based on Parameter Estimation.
IEEE Transactions on Neural Systems and Rehabilitation Engineering [15344320],
24
(10),
1109-1121.
Monahan, K., Song, Y., Loparo, K. A., Mehra, R., Harrell, Jr, F., & Redline, S.
(2016).
Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms.
Sleep and Breathing,
20
(2),
515–522.
Liu, C., Wang, J., Li, H., Lu, M., Deng, B., Yu, H., ... Loparo, K. A.
(2016).
Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.
IEEE Transactions on Neural Networks [10459227],
(),
12-Jan.
Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., & Loparo, K. A.
(2016).
Design and development of a smart exercise bike for motor rehabilitation in individuals with Parkinson’s disease.
IEEE/ASME Transactions on Mechatronics,
21
(3),
1650–1658.
Strezoski, L., Prica, M., & Loparo, K. A.
(2016).
Generalized-Circuit Concept for Integration of Distributed Generators in Online Short-Circuit Calculations.
IEEE Transactions on Power Systems [08858950],
(),
1-Jan.
Lacuey, N., Zonjy, B., Theerannaew, W., Loparo, K. A., Tatsuoka, C., Sahadevan, J., ... Lhatoo, S.
(2016).
Left-insular damage, autonomic instability, and sudden unexpected death in epilepsy.
Epilepsy and Behavior [15255050],
55
(),
170-173.
Vandendriessche, B., Abas, M., Dick, T., Loparo, K. A., & Jacono, F.
(2016).
Mapping multiscalar variability dynamics in 1/f physiologic phase space for tracking the state of sepsis patients.
The FASEB Journal,
30
(1 Supplement),
1003–1.
Sahoo, S., Wei, A., Valdez, J., Wang, L., Zonjy, B., Tatsuoka, C., ... Lhatoo, S.
(2016).
NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig.
Frontiers in Neuroinformatics [16625196],
10
().
Kanchanaharuthai, A., Chankong, V., & Loparo, K. A.
(2015).
Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance.
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37
(10),
1217-1231.
Kanchanaharuthai, A., Chankong, V., & Loparo, K. A.
(2015).
Transient Stability and Voltage Regulation in Multimachine Power Systems Vis-a-Vis STATCOM and Battery Energy Storage.
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30
(5),
2404-2416.
Jayapandian, C., Wei, A., Ramesh, P., Zonjy, B., Lhatoo, S., Loparo, K. A., ... Sahoo, S.
(2015).
A scalable neuroinformatics data flow for electrophysiological signals using MapReduce.
Frontiers in neuroinformatics,
9
().
Ridgel, A., Phillips, R., Walter, B., Discenzo, F., & Loparo, K. A.
(2015).
Dynamic high-cadence cycling improves motor symptoms in Parkinson’s disease.
Frontiers in neurology,
6
(),
194.
Wang, Y., Loparo, K. A., Kelly, M., & Kaplan, R.
(2015).
Evaluation of an automated single-channel sleep staging algorithm.
Nature and science of sleep,
7
(),
101.
Janjarasjitt, S., & Loparo, K. A.
(2015).
Examination of scale-invariant characteristics of multi-channel ECoG data for epileptic seizure localization.
Journal of Medical and Biological Engineering,
35
(2),
278–284.
Ding, F., Loparo, K. A., & Others
(2015).
Feeder Reconfiguration for Unbalanced Distribution Systems With Distributed Generation: A Hierarchical Decentralized Approach.
IEEE,
().
Ding, F., & Loparo, K. A.
(2015).
Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems-Part I: Problem Formulation and Algorithm Development.
IEEE TRANSACTIONS ON POWER SYSTEMS,
30
(2),
734-743.
Ridgel, A., Mohammadi-Abdar, H., Walter, B., Discenzo, F., & Loparo, K. A.
(2015).
Variability in Functional Improvements After Dynamic Cycling in Parkinson’s disease: 813 Board# 209 May 27, 3: 30 PM-5: 00 PM.
Medicine & Science in Sports & Exercise,
47
(5S),
219.
Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., ... Fietkiewicz, C.
(2015).
Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models.
Communications in Nonlinear Science and Numerical Simulation,
28
(1),
10–26.
Hong, M., Yu, X., Yu, N., & Loparo, K. A.
(2014).
An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids.
IEEE Transactions On Smart Grid,
().
Blackwell, T., Stone, P., Stone, K., Cawthon, P., Loparo, K. A., Varosi, P., ... May, A.
(2014).
Sleep Disordered Breathing Determinants Of Incident Atrial Fibrillation In An Elderly Male Cohort.
Am J Respir Crit Care Med,
189
(),
A2403.
Kanchanaharuthai, A., Chankong, V., & Loparo, K. A.
(2014).
Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance.
Transactions of the Institute of Measurement and Control,
(),
0142331214560048.
Kanchanaharuthai, A., Chankong, V., Loparo, K. A., & Others
(2014).
Transient stability and voltage regulation in multimachine power systems Vis-à-Vis STATCOM and battery energy storage.
IEEE,
().
Bagheri-Hamaneh, M., Kaiboriboon, K., Dimitriu, D., Turnbull, J., Luders, H., Loparo, K. A., ... Lhatoo, S.
(2014).
A Method for the Inclusion of Sphenoidal Electrodes in Realistic EEG Source Imaging.
Journal of Clinical Neurophysiology,
31
(5),
429–436.
Yaqub, M., & Loparo, K. A.
(2014).
An automated approach for bearing damage detection.
Journal of Vibration and Control,
(),
1077546314562621.
Janjarasjitt, S., & Loparo, K. A.
(2014).
Characteristic of Spectral Exponent of Epileptic ECoG Data Corresponding to Levels in Wavelet-Based Fractal Analysis.
Proceedings of the International MultiConference of Engineers and Computer Scientists,
1
().
Yamauchi, M., Jacono, F., Fujita, Y., Kumamoto, M., Yoshikawa, M., Campanaro, C., ... Kimura, H.
(2014).
Effects of environment light during sleep on autonomic functions of heart rate and breathing.
Sleep and Breathing,
(),
1–7.
Janjarasjitt, S., & Loparo, K. A.
(2014).
Examination of scale-invariant characteristics of epileptic electroencephalograms using wavelet-based analysis.
Computers & Electrical Engineering,
().
Georgescu, N., Loparo, K. A., Jebaraj, A., & Scherson, D.
(2014).
On the Effect of the Ir Drop on Chronoamperometric Measurements Involving Irreversibly Adsorbed Redox Active Species on Electrode Surfaces.
Meeting Abstracts,
(23),
1040–1040.
Kaplan, R., Wang, Y., Loparo, K. A., Kelly, M., & Bootzin, R.
(2014).
Performance evaluation of an automated single-channel sleep–wake detection algorithm.
Nature and science of sleep,
6
(),
113.
Janjarasjitt, S., & Loparo, K. A.
(2014).
Scale-invariant behavior of epileptic ECoG.
J. Med. Biol. Eng,
().
Freitas, J., Kaur, G., Fernandez, G., Tatsuoka, C., Loparo, K. A., Rao, S., ... Others
(2013).
Age-specific periictal electroclinical features of generalized tonic–clonic seizures and potential risk of sudden unexpected death in epilepsy (SUDEP).
Epilepsy & Behavior,
29
(2),
289–294.
Bozorgi, A., Chung, S., Loparo, K. A., Sahoo, S., Zhang, G., Kaiboriboon, K., ... Lhatoo, S.
(2013).
Significant postictal hypotension: Expanding the spectrum of seizure-induced autonomic dysregulation.
Epilepsia,
().
Yaqub, M., Gondal, I., Kamruzzaman, J., & Loparo, K. A.
(2013).
Abrasion Modeling of Multiple-Point Defect Dynamics for Machine Condition Monitoring.
IEEE,
().
Park, S., Loparo, K. A., & Jacono, F.
(2013).
The use of heart rate variability for the early detection of treatable complications after aneurysmal subarachnoid hemorrhage.
Journal of clinical monitoring and computing,
(),
1–9.
Bagheri Hamaneh, M., Chitravas, N., Kaiboriboon, K., Lhatoo, S., & Loparo, K. A.
(2013).
Automated Removal of EKG Artifact From EEG Data Using Independent Component Analysis and Continuous Wavelet Transformation.
IEEE,
().
Yamauchi, M., Jacono, F., Fujita, Y., Yoshikawa, M., Ohnishi, Y., Nakano, H., ... Kimura, H.
(2013).
Breathing irregularity during wakefulness associates with CPAP acceptance in sleep apnea.
Sleep and Breathing,
(),
1–8.
Janjarasjitt, S., & Loparo, K. A.
(2013).
Comparison of complexity measures using two complex system analysis methods applied to the epileptic ECoG.
Journal of the Korean Physical Society,
63
(8),
1659–1665.
Gurkan-Cavusoglu, E., Avadhani, S., Liu, L., KInsella, T., & Loparo, K. A.
(2013).
Developing an in silico model of the modulation of base excision repair using methoxyamine for more targeted cancer therapeutics.
IET Systems Biology,
7
(2),
27–37.
Dick, T., Hsieh, Y., Litvin, D., Nethery, D., Zhu, Y., Galána, R., ... Jacono, F.
(2013).
Development of brainstem inflammation correlates with uncoupling of the cardiorespiratory system in an endotoxemic rodent model.
Journal of Critical Care,
28
(6),
e34–e34.
Dick, T., Hsieh, Y., Litvin, D., Nethery, D., Zhu, Y., Galána, R., ... Jacono, F.
(2013).
Development of brainstem inflammation correlates with uncoupling of the cardiorespiratory system in an endotoxemic rodent model.
Journal of Critical Care,
28
(6),
e34.
Gurkan-Cavusoglu, E., Schupp, J., KInsella, T., & Loparo, K. A.
(2013).
Quantitative analysis of the effects of iododeoxyuridine and ionising radiation treatment on the cell cycle dynamics of DNA mismatch repair deficient human colorectal cancer cells.
IET systems biology,
7
(4),
114–124.
Gurkan Cavusoglu, E., Avadhani, S., Liu, L., KInsella, T., & Loparo, K. A.
(2013).
Developing an In Silico Model of the Modulation of Base Excision Repair using Methoxyamine for More Targeted Cancer Therapeutics.
IET Systems Biology ,
7
(2),
27-37.
Loparo, K. A.
(2013).
System Structuring of a Two Area Four Machine Power System.
System,
1
().
Gurkan Cavusoglu, E., Schupp, J., KInsella, T., & Loparo, K. A.
(2013).
Quantitative Analysis of the Effects of Iododeoxyuridine and Ionizing Radiation Treatment on the Cell Cycle Dynamics of DNA Mismatch Repair Deficient Human Colorectal Cancer Cells.
IET Systems Biology ,
7
(4),
114-124.
Sahoo, S., Jayapandian, C., Garg, G., Chung, S., Bozorgi, A., Chen, C., ... Zhang, G.
(2013).
Heart beats in the cloud: distributed analysis of electrophysiological ‘big data’using cloud computing for epilepsy clinical research.
Journal of the American Medical Informatics Association,
(),
amiajnl–2013.
Piryatinska, A., Woyczynski, W., Scher, M., & Loparo, K. A.
(2012).
Optimal channel selection for analysis of EEG-sleep patterns of neonates.
Computer methods and programs in biomedicine,
106
(1),
14–26.
Di Fiore, J., Loparo, K. A., Sattar, A., Schluchter, M., Foglyano, R., Martin, R., ... Wilson, C.
(2012).
The relationship between patterns of intermittent hypoxia and retinopathy of prematurity in preterm infants.
Pediatric research,
72
(6),
606–612.
Ridgel, A., Mohammadi-Abdar, H., Alberts, J., Discenzo, F., & Loparo, K. A.
(2012).
Variability in Cadence During Forced Cycling Predicts Motor Improvement in Individuals With Parkinson’s Disease.
IEEE,
().
Loparo, K. A., Dick, T., Fishman, M., Jacono, F., Park, S., Jamasebi, R., ... Thungtong, A.
(2012).
A method for analyzing temporal patterns of variability.
J Appl Physiol,
113
(),
297–306.
Fishman, M., Jacono, F., Park, S., Jamasebi, R., Thungtong, A., Loparo, K. A., ... Dick, T.
(2012).
A method for analyzing temporal patterns of variability of a time series from Poincare plots.
Journal of Applied Physiology,
113
(2),
297–306.
Friedman, L., Dick, T., Jacono, F., Loparo, K. A., Yeganeh, A., Fishman, M., ... Strohl, K.
(2012).
Cardio-ventilatory coupling in young healthy resting subjects.
Journal of Applied Physiology,
112
(8),
1248–1257.
Thungtong, A., Loparo, K. A., Dick, T., Jacono, F., & Knoch, M.
(2012).
Comparison Of The Effect Of Biologically Variable Ventilation (bvv) And Continuous Mechanical Ventilation (cmv) After Lung Injury On Heart Rate Variability (hrv) In Rats.
Am J Respir Crit Care Med,
185
(),
A3608.
Kirsch, M., Monahan, K., Weng, J., Redline, S., & Loparo, K. A.
(2012).
Entropy-based measures for quantifying sleep-stage transition dynamics: relationship to sleep fragmentation and daytime sleepiness.
Biomedical Engineering, IEEE Transactions on,
59
(3),
787–796.
Janjarasjitt, S., & Loparo, K. A.
(2012).
Examination of temporal characteristics of epileptic eeg subbands based on the local min-max.
Proceedings of The International MultiConference of Engineers and Computer Scientists,
(),
1095–1099.
Chung, A., Fishman, M., Dasenbrook, E., Loparo, K. A., Dick, T., & Jacono, F.
(2012).
Isoflurane and ketamine anesthesia have different effects on ventilatory pattern variability in rats.
Respiratory physiology & neurobiology,
().
Hai, B., Tolmachev, Y., Loparo, K. A., Zanelli, C., & Scherson, D.
(2011).
Cyclic versus Staircase Voltammetry in Electrocatalysis: Theoretical Aspects.
Journal of The Electrochemical Society,
158
(2),
F15–F19.
Yamauchi, M., Tamaki, S., Yoshikawa, M., Ohnishi, Y., Nakano, H., Jacono, F., ... Kimura, H.
(2011).
Differences in breathing patterning during wakefulness in patients with mixed apnea-dominant vs obstructive-dominant sleep apnea.
CHEST Journal,
140
(1),
54–61.
Yamauchi, M., Tamaki, S., Yoshikawa, M., Ohnishi, Y., Nakano, H., Jacono, F., ... Kimura, H.
(2011).
Differences in Breathing Patterning During Wakefulness in Patients With Mixed Apnea-Dominant vs Obstructive-Dominant Sleep ApneaMixed-Dominant vs Obstructive-Dominant Sleep Apnea.
CHEST Journal,
140
(1),
54–61.
Fietkiewicz, C., Loparo, K. A., & Wilson, C.
(2011).
Drive latencies in hypoglossal motoneurons indicate developmental change in the brainstem respiratory network.
Journal of Neural Engineering,
8
(6),
065011.
KInsella, T., Gurkan-Cavusoglu, E., Du, W., & Loparo, K. A.
(2011).
Integration of Principles of Systems Biology and Radiation Biology: Toward Development of in silico Models to Optimize IUdR-Mediated Radiosensitization of DNA Mismatch Repair Deficient (Damage Tolerant) Human Cancers.
Frontiers in oncology,
1
().
Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., ... Fietkiewicz, C.
(2011).
Commun Nonlinear Sci Numer Simulat.
,
().
Scher, M., Johnson, M., Ludington-Hoe, S., & Loparo, K. A.
(2011).
Physiologic brain dysmaturity in late preterm infants.
Pediatric research,
70
(5),
524–528.
Dhingra, R., Jacono, F., Fishman, M., Loparo, K. A., Rybak, I., & Dick, T.
(2011).
Vagal-dependent nonlinear variability in the respiratory pattern of anesthetized, spontaneously breathing rats.
Journal of Applied Physiology,
111
(1),
272–284.
Kinsella, T., Gurkan Cavusoglu, E., Du, W., & Loparo, K. A.
(2011).
Integration of principles of systems biology and radiation biology: toward development of in silico models to optimize IUdR-mediated radiosensitization of DNA mismatch repair-deficient (damage tolerant) human cancers.
Frontiers in Oncology,
1
().
Jacono, F., De Georgia, M., Wilson, C., Dick, T., & Loparo, K. A.
(2010).
Data acquisition and complex systems analysis in critical care: developing the intensive care unit of the future.
Journal of Healthcare Engineering,
1
(3),
337–355.
Syed, T., Arozullah, A., Loparo, K. A., Jamasebi, R., Suciu, G., Griffin, C., ... Alexopoulos, A.
(2009).
A self-administered screening instrument for psychogenic nonepileptic seizures.
,
().
Scher, M., Ludington-Hoe, S., Johnson, M., Holditch-Davis, D., & Loparo, K. A.
(2009).
Neurophysiologic assessment of brain maturation after an 8-week trial of skin-to-skin contact on preterm infants.
Clinical Neurophysiology,
120
(10),
1812–1818.
Foglyano, R., Dick, T., Loparo, K. A., & Wilson, C.
(2009).
Quantifying the complexity of neural network output using entropy measures.
BMC Neuroscience,
10
(Suppl 1),
P322.
Syed, T., Arozullah, A., Loparo, K. A., Jamasebi, R., Suciu, G., Griffin, C., ... Alexopoulos, A.
(2009).
A self-administered screening instrument for psychogenic nonepileptic seizures.
Neurology,
72
(19),
1646–1652.
Piryatinska, A., Terdik, G., Woyczynski, W., Loparo, K. A., Scher, M., & Zlotnik, A.
(2009).
Automated detection of neonate EEG sleep stages.
Computer methods and programs in biomedicine,
95
(1),
31–46.
Zeng, X., Gurkan Cavusoglu, E., Loparo, K. A., & KInsella, T.
(2009).
Abstract# 460: The relationship between G2/M cell cycle arrest, and activation of autophagy and apoptosis following MMR processing of 6-thioguanine.
Cancer Research,
69
(9 Supplement),
460–460.
DeCastro, J., Tang, L., Loparo, K. A., Goebel, K., & Vachtsevanos, G.
(2009).
Exact nonlinear filtering and prediction in process model-based prognostics.
Annual Conference of the Prognostics and Health Management Society,
().
Scher, M., & Loparo, K. A.
(2009).
Neonatal EEG/sleep state analyses: a complex phenotype of developmental neural plasticity.
Developmental neuroscience,
31
(4),
259–275.
Furlan, J., Kadambi, J. R., Loparo, K. A., Sreenath, S. N., & Manjila, S.
(2009).
PIV Investigation of Cerebral Spinal Fluid Flow in the Cerebral Ventricular System.
Journal of Flow Visualization and Image Processing,
16
(2).
Gurkan-Cavusoglu, E., Olszens, K., Nadeau, J., & Loparo, K. A.
(2008).
Feature identification in circadian rhythms of mice strains using in vivo information.
Mammalian Genome,
19
(5),
366–377.
Yamauchi, M., Ocak, H., Dostal, J., Jacono, F., Loparo, K. A., & Strohl, K.
(2008).
Post-sigh breathing behavior and spontaneous pauses in the C57BL/6J (B6) mouse.
Respiratory physiology & neurobiology,
162
(2),
117–125.
Foglyano, R., Wilson, C., & Loparo, K. A.
(2008).
The effect of time delay on approximate & sample entropy calculations.
Physica D: Nonlinear Phenomena,
237
(23),
3069–3074.
Gurkan Cavusoglu, E., Olszens, K., Nadeau, J., & Loparo, K. A.
(2008).
Feature identification in circadian rhythms of mice strains using in vivo information.
Mammalian Genome,
19
(5),
366-77.
Weiss, M., Avva, J., Soebiyanto, R., Loparo, K. A., Shukla, S., Gupta, S., ... Sreenath, S. N.
(2008).
Complex Systems Biology of Prostate Cancer.
,
().
Jamasebi, R., Redline, S., Patel, S., & Loparo, K. A.
(2008).
Entropy-based measures of EEG arousals as biomarkers for sleep dynamics: applications to hypertension.
Sleep,
31
(7),
935.
Soebiyanto, R., Sreenath, S. N., Qu, C., Loparo, K. A., & Bunting, K.
(2007).
Complex systems biology approach to understanding coordination of JAK-STAT signaling.
Biosystems,
90
(3),
830–842.
Ocak, H., Loparo, K. A., & Discenzo, F.
(2007).
Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics.
Journal of sound and vibration,
302
(4),
951–961.
Gurkan-Cavusoglu, E., Schupp, J., Aziz, M., KInsella, T., & Loparo, K. A.
(2007).
Probabilistic modeling of DNA mismatch repair effects on cell cycle dynamics and iododeoxyuridine-DNA incorporation.
Cancer research,
67
(22),
10993–11000.
Schupp, J., Gurkan Cavusoglu, E., Aziz, M., Seo, Y., Loparo, K. A., & KInsella, T.
(2007).
Computational modeling of the effect of the mismatch repair protein hMLH1 upon cell cycle responses and cytotoxicity of 5-iododeoxyuridine (IUdR) in colon cancer cells..
Cancer Research,
67
(9 Supplement),
4411–4411.
Radivoyevitch, T., & Loparo, K. A.
(2006).
A systems and control approach to integrative cancer biology: developing strategies for therapeutic gain.
,
().
Radivoyevitch, T., Loparo, K. A., Jackson, R., & Sedwick, W.
(2006).
On systems and control approaches to therapeutic gain.
BMC cancer,
6
(1),
104.
Discenzo, F., Chung, D., & Loparo, K. A.
(2006).
Power scavenging enables maintenance-free wireless sensor nodes.
Proceedings of the 6th International Conference on Complex Systems,
().
Discenzo, F., Chung, D., & Loparo, K. A.
(2006).
Pump condition monitoring using self-powered wireless sensors.
Sound and Vibration,
40
(5),
12–15.
Scher, M., Turnbull, J., Loparo, K. A., & Johnson, M.
(2005).
Automated state analyses: proposed applications to neonatal neurointensive care.
Journal of clinical neurophysiology,
22
(4),
256–270.
Allen, A., Phattanarsi, P., Loparo, K. A., & Soares, F.
(2005).
ANCT User’s Guide.
EECS Department, Case Western Reserve University, Contek Research, Inc, CA,
().
Ocak, H., & Loparo, K. A.
(2005).
HMM-based fault detection and diagnosis scheme for rolling element bearings.
Journal of vibration and acoustics,
127
(4),
299–306.
Scher, M., Waisanen, H., Loparo, K. A., & Johnson, M.
(2005).
Prediction of neonatal state and maturational change using dimensional analysis.
Journal of clinical neurophysiology,
22
(3),
159–165.
Lou, X., Loparo, K. A., Discenzo, F., Yoo, J., & Twarowski, A.
(2004).
A model-based technique for rolling element bearing fault detection.
Mechanical Systems and Signal Processing,
18
(),
1077–1095.
Lou, X., & Loparo, K. A.
(2004).
Bearing fault diagnosis based on wavelet transform and fuzzy inference.
Mechanical systems and signal processing,
18
(5),
1077–1095.
Ocak, H., & Loparo, K. A.
(2004).
Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data.
Mechanical Systems and Signal Processing,
18
(3),
515–533.
Loparo, K. A., & Fang, Y.
(2004).
Stability of continuous time jump linear systems.
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS,
11
(2-3),
369–395.
Sinha, A., & Loparo, K. A.
(2003).
A mathematical and computational model for the analysis of abstract systems.
submitted to Springer-Verlag,
().
Lee, E., Park, J., Loparo, K. A., Schrader, C., & Chang, P.
(2003).
Bang-bang impact control using hybrid impedance/time-delay control.
Mechatronics, IEEE/ASME Transactions on,
8
(2),
272–277.
Wolbank, T., Loparo, K. A., & Wohrnschimmel, R.
(2003).
INDUSTRIAL POWER CONVERSION SYSTEMS DEPARTMENT-Industrial Drives Committee-Inverter Statistics for Online Detection of Stator Asymmetries in Inverter-Fed Induction Motors.
IEEE Transactions on Industry Applications,
39
(4),
1102–1108.
Wolbank, T., Loparo, K. A., & Wohrnschimmel, R.
(2003).
Inverter statistics for online detection of stator asymmetries in inverter-fed induction motors.
Industry Applications, IEEE Transactions on,
39
(4),
1102–1108.
Fattah, Hossam A Abdel, & Loparo, K. A.
(2003).
Passivity-based torque and flux tracking for induction motors with magnetic saturation.
Automatica,
39
(12),
2123–2130.
Kelso, R., & Loparo, K. A.
(2002).
Arousal Detection in Neonatal EEG Signals Using Hidden Markov Models.
,
().
Fang, Y., & Loparo, K. A.
(2002).
e F (t0) fHy ()+ Gu () gd.
IEEE transactions on automatic control,
47
(7),
1205.
Fang, Y., & Loparo, K. A.
(2002).
On the relationship between the sample path and moment Lyapunov exponents for jump linear systems.
Automatic Control, IEEE Transactions on,
47
(9),
1556–1560.
Fang, Y., & Loparo, K. A.
(2002).
Stabilization of continuous-time jump linear systems.
Automatic Control, IEEE Transactions on,
47
(10),
1590–1603.
Fang, Y., & Loparo, K. A.
(2002).
Stochastic stability of jump linear systems.
Automatic Control, IEEE Transactions on,
47
(7),
1204–1208.
Fattah, Hossam A Abdel, & Loparo, K. A.
(2001).
Speed control of electrical machines: unknown load torque case.
Automatic Control, IEEE Transactions on,
46
(12),
1979–1983.
Ertunc, H., Loparo, K. A., & Ocak, H.
(2001).
Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs).
International Journal of Machine Tools and Manufacture,
41
(9),
1363–1384.
Loparo, K. A., Adams, M., Abdel-Magied, M., & Afshari, N.
(2000).
Fault detection and diagnosis of rotating machinery.
Industrial Electronics, IEEE Transactions on,
47
(5),
1005–1014.
Lou, X., Loparo, K. A., Discenzo, F., Yoo, J., & Twarowski, A.
(2000).
A wavelet-based technique for bearing diagnostics.
International Conference on Acoustics, Noise and Vibration, Montreal, Canada,
().
Discenzo, F., Unsworth, P., Loparo, K. A., & Marcy, H.
(2000).
Intelligent motor provides enhanced diagnostics and control for next generation manufacturing systems.
Computing & Control Engineering Journal,
11
(5),
228–233.
Zheng, Y., Abdel Fattah, H., & Loparo, K. A.
(2000).
Non-linear adaptive sliding mode observer–controller scheme for induction motors.
International Journal of Adaptive Control and Signal Processing,
14
(2-3),
245–273.
Hobbs, B., Jitprapaikulsarn, S., Konda, S., Chankong, V., Loparo, K. A., & Maratukulam, D.
(1999).
Analysis of the value for unit commitment of improved load forecasts.
Power Systems, IEEE Transactions on,
14
(4),
1342–1348.
Nesthus, T., Scarborough, A., Schroeder, D., Kaplan, R., Loparo, K. A., & Thome, D.
(1998).
Four-choice serial reaction time and visual search performance during 34 hr of sleep loss.
Abstract: Aviation, Space, and Environmental Medicine,
69
(3),
230.
Maki, Y., & Loparo, K. A.
(1997).
A neural-network approach to fault detection and diagnosis in industrial processes.
Control Systems Technology, IEEE Transactions on,
5
(6),
529–541.
Feng, X., & Loparo, K. A.
(1997).
Active probing for information in control systems with quantized state measurements: A minimum entropy approach.
Automatic Control, IEEE Transactions on,
42
(2),
216–238.
Fang, Y., Loparo, K. A., & Feng, X.
(1997).
New estimates for solutions of Lyapunov equations.
IEEE transactions on automatic control,
42
(3),
408–411.
Feng, X., Loparo, K. A., & Fang, Y.
(1997).
Optimal state estimation for stochastic systems: An information theoretic approach.
Automatic Control, IEEE Transactions on,
42
(6),
771–785.
Praprost, K., & Loparo, K. A.
(1996).
A stability theory for constrained dynamic systems with applications to electric power systems.
Automatic Control, IEEE Transactions on,
41
(11),
1605–1617.
Hobbs, B., Ji, Y., Chang, C., Loparo, K. A., Jober, J., & Ohman, M.
(1996).
An improved bounding-based method for multiarea probabilistic production costing.
Power Systems, IEEE Transactions on,
11
(2),
1024–1030.
Haji-Valizadeh, A., & Loparo, K. A.
(1996).
Minimizing the cardinality of an events set for supervisors of discrete-event dynamical systems.
Automatic Control, IEEE Transactions on,
41
(11),
1579–1593.
Adams, M. L., & Loparo, K. A.
(1996).
Chaos concepts as diagnostic tools for assessing rotating machinery vibration signatures.
AIP Conference Proceedings,
375
(),
431.
Teixeira, E., Loparo, K. A., Gomide, F., & Monica, U.
(1995).
FEEDBACK LINEARIZATION OF UNKNOWN NONLINEAR SYSTEMS.
IECON’99,
1
(),
182.
Fang, Y., Loparo, K. A., & Feng, X.
(1994).
A sufficient condition for stability of a polytope of matrices.
Systems & control letters,
23
(4),
237–245.
Fang, Y., Loparo, K. A., & Feng, X.
(1994).
Almost sure and $δ$moment stability of jump linear systems.
International Journal of Control,
59
(5),
1281–1307.
Praprost, K., & Loparo, K. A.
(1994).
An energy function method for determining voltage collapse during a power system transient.
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on,
41
(10),
635–651.
Lee, H., Loparo, K. A., & Quinn, R.
(1994).
Hybrid impedance/time-delay control for robot manipulators with unknown dynamics and disturbances.
Proc. ASME Int. Mechanical Engineering Congr. Expo,
1
(),
255–261.
Fang, Y., Loparo, K. A., & Feng, X.
(1994).
Inequalities for the trace of matrix product.
Automatic Control, IEEE Transactions on,
39
(12),
2489–2490.
Buchner, M., & Loparo, K. A.
(1993).
A Signals and Systems Textbook.
Gateway Engineering Education Coalition,
(),
119.
Chen, R., & Loparo, K. A.
(1993).
Identification of time delays in linear stochastic systems.
International Journal of Control,
57
(6),
1273–1291.
Loparo, K. A., & Feng, X.
(1993).
Lyapunov exponent and rotation number of two-dimensional linear stochastic systems with telegraphic noise.
SIAM Journal on Applied Mathematics,
53
(1),
283–300.
Fang, Y., Loparo, K. A., & Feng, X.
(1993).
Sufficient conditions for the stability of interval matrices.
International Journal of Control,
58
(4),
969–977.
Nadira, R., Dy Liacco, T., & Loparo, K. A.
(1992).
A hierarchical interactive approach to electric power system restoration.
Power Systems, IEEE Transactions on,
7
(3),
1123–1131.
Feng, X., & Loparo, K. A.
(1992).
A nonrandom spectrum theorem for products of random matrices and linear stochastic systems.
J. Math. Systems Estim. Control,
2
(),
323.
Fashoro, M., Hàjek, O., & Loparo, K. A.
(1992).
Controllability properties of constrained linear systems.
Journal of optimization theory and applications,
73
(2),
329–346.
Tsai, Y., Casiello, F., & Loparo, K. A.
(1992).
Discrete-time entropy formulation of optimal and adaptive control problems.
Automatic Control, IEEE Transactions on,
37
(7),
1083–1088.
Nadira, R., Loparo, K. A., & Dy Liacco, T.
(1992).
Maximal load demand allocation.
Power Systems, IEEE Transactions on,
7
(2),
528–535.
Fashoro, M., Hàjek, O., & Loparo, K. A.
(1992).
Reachability properties of constrained linear systems.
Journal of optimization theory and applications,
73
(1),
169–195.
Feng, X., Loparo, K. A., Ji, Y., & Chizeck, H.
(1992).
Stochastic stability properties of jump linear systems.
Automatic Control, IEEE Transactions on,
37
(1),
38–53.
Feng, X., & Loparo, K. A.
(1991).
A nonrandom spectrum for lyapunov exponents of linear stochastic systems.
Stochastic Analysis and Applications,
9
(1),
25–40.
Loparo, K. A., Buchner, M., & Vasudeva, K.
(1991).
Leak detection in an experimental heat exchanger process: a multiple model approach.
Automatic Control, IEEE Transactions on,
36
(2),
167–177.
Fang, Y., Loparo, K. A., & Feng, J.
(1991).
Modeling issues for the control systems with communication delays.
Ford Motor Co., SCP Research Report,
().
Loparo, K. A., & Chankong, V.
(1990).
A two-level structure for advanced space power system automation.
NASA STI/Recon Technical Report N,
92
(),
34226.
Feng, X., & Loparo, K. A.
(1990).
Almost sure instability of the random harmonic oscillator.
SIAM Journal on Applied Mathematics,
50
(3),
744–759.
Widman, L., & Loparo, K. A.
(1990).
Artificial intelligence, simulation, and modeling.
Interfaces,
20
(2),
48–66.
Jurczyk, J., & Loparo, K. A.
(1989).
Mathematical transforms and correlation techniques for object recognition using tactile data.
Robotics and Automation, IEEE Transactions on,
5
(3),
359–362.
Casiello, F., & Loparo, K. A.
(1989).
Optimal policies for passive learning controllers.
Automatica,
25
(5),
757–763.
Yoshida, T., & Loparo, K. A.
(1989).
Quadratic regulatory theory for analytic non-linear systems with additive controls.
Automatica,
25
(4),
531–544.
Raviv, D., Pao, Y., & Loparo, K. A.
(1989).
Reconstruction of three-dimensional surfaces from two-dimensional binary images.
Robotics and Automation, IEEE Transactions on,
5
(5),
701–710.
Raviv, D., Pao, Y., & Loparo, K. A.
(1989).
Segmentation between overlapping parts: The moving shadows approach.
Systems, Man and Cybernetics, IEEE Transactions on,
19
(4),
880–883.
BERGER, K., & Loparo, K. A.
(1989).
17 A Hierarchical Framework for.
Artificial intelligence, simulation, and modeling,
(),
415.
Widman, L., Loparo, K. A., & Nielsen, N.
(1989).
Artificial intelligence, simulation & modeling.
John Wiley & Sons, Inc.,
().
Loparo, K. A., Nielsen, N., & Widman, L.
(1989).
Artificial intelligence: proceedings, San Antonio, TX, USA, 1986.
,
().
Hafez, W., Loparo, K. A., Rasmy, E., & Hashish, M.
(1989).
Generation of trajectory sensitivities: minimal-order realization.
International Journal of Control,
49
(3),
809–825.
Yoel, R., Buchner, M., Loparo, K. A., & Cubukcu, A.
(1988).
A nonlinear filtering process diagnostic system for the Space Station.
,
().
Casiello, F., & Loparo, K. A.
(1987).
Comments on.
Automatic Control, IEEE Transactions on,
32
(11),
1020–1021.
Casiello, F., & Loparo, K. A.
(1987).
Comments on" Exact control of linear systems with multiple controls".
Automatic Control, IEEE Transactions on,
32
(11),
1020–1021.
Hafez, W., Loparo, K. A., Hashish, H., & Rasmy, E.
(1987).
SENSITIVITY-CONSTRAINED CONTROLLER DESIGN FOR MULT I-PARAMETER SYSTEMS.
Proceedings of the IASTED International Symposium Applied Control and Identification: Los Angeles, California, USA, December 10-12, 1986,
(),
25.
Eckert, S., Loparo, K. A., & Roth, Z.
(1986).
An application of nonlinear filtering to instrument failure detection in a pressurized water reactor.
Nucl. Technol.;(United States),
74
(2).
Loparo, K. A., Roth, Z., & Eckert, S.
(1986).
Nonlinear filtering for systems with random structure.
Automatic Control, IEEE Transactions on,
31
(11),
1064–1068.
Roth, Z., & Loparo, K. A.
(1986).
Nonlinear filtering problems with finite-dimensional matrix estimation algebras.
Systems & control letters,
7
(5),
423–427.
Loparo, K. A., & Blankenship, G.
(1985).
A probabilistic mechanism for small disturbance instabilities in electric power systems.
Circuits and Systems, IEEE Transactions on,
32
(2),
177–184.
Loparo, K. A.
(1985).
Francisco Casiello.
Proceedings of the... IEEE Conference on Decision & Control,
(),
911.
Loparo, K. A., & Kuo, G.
(1985).
On the realization of input-decentralized representations for large-scale systems.
Automatic Control, IEEE Transactions on,
30
(9),
909–912.
Griffiths, B., & Loparo, K. A.
(1985).
Optimal control of jump-linear Gaussian systems.
International Journal of Control,
42
(4),
791–819.
GRIFFITHS†, BARRY E, & Loparo, K. A.
(1985).
Optimal control of jump-linear gaussian systems†.
International Journal of Control,
42
(4),
791–819.
Garzia, M., Loparo, K. A., & Martin, C.
(1984).
ON THE OECOUPLING OF SOLUTIONS FOR THE RICCATI 0IFFERENTIAL EQUATION.
Proceedings of the Berkeley-Ames Conference on Nonlinear Problems in Control and Fluid Dynamics,
2
(),
135.
Roth, Z., & Loparo, K. A.
(1984).
Optimal filter realization for a class of nonlinear systems with finite-dimensional estimation algebra.
Systems & control letters,
4
(1),
23–26.
Loparo, K. A.
(1984).
Stochastic stability of coupled linear systems: A survey of methods and results.
Stochastic Analysis and Applications,
2
(2),
193–228.
Khadr, A., & Loparo, K. A.
(1984).
VARIABLE STRUCTURE STOCHASTIC SYSTEMS, CONSERVATION LAWS, AN0 THE METHOO OF CHARACTERISTICS.
Proceedings of the Berkeley-Ames Conference on Nonlinear Problems in Control and Fluid Dynamics,
2
(),
315.
Erol, Y., & Loparo, K. A.
(1983).
Deadbeat control of discrete-time systems with singular state matrix using canonical decomposition.
Automatica,
19
(5),
575–577.
Garzia, M., Loparo, K. A., & Martin, C.
(1983).
Riccati group invariants of linear hamiltonian systems.
International Journal of Control,
38
(5),
897–911.
Loparo, K. A., & Hsu, C.
(1982).
Analysis of Interconnected Systems Using Bilinear Models.
Large-Scale Systems: Theory and Applications,
3
(),
237–244.
Erol, Y., & Loparo, K. A.
(1982).
Decentralized deadbeat control of cascaded production-inventory systems..
IEEE TRANS. SYS. MAN AND CYBER.,
12
(6),
924–927.
Loparo, K. A., & Roth, Z.
(1981).
Nonlinear filtering for process diagnostics.
Joint Automatic Control Conference,
(18),
28.
Chinthala, S., & Loparo, K. A.
(1981).
Structural analysis of interconnected systems using bilinear models.
Joint Automatic Control Conference,
(18),
79.
Loparo, K. A., & Martin, C.
(1981).
THE RICCATI EQUATION, IMPRIMITIVE ACTIONS AND SYMPLECTIC FORMS MARIO R. GARZIA FPGD Information Systems Dept., Babcock & Wilcox Co., Barberton, Ohio 44203.
Proceedings,
(19),
430.
Sorooshian, S., Arfi, F., & Loparo, K. A.
(1980).
Parameter estimation and sensitivity analysis-Applications to hydrologic models.
Joint Automatic Control Conference,
(17),
120.
Loparo, K. A.
(1980).
STABILITY AND CONTROL OF NONLINEAR SYSTEMS.
Proceedings,
23
(),
246.
Loparo, K. A., & Blankenship, G.
(1978).
Estimating the domain of attraction of nonlinear feedback systems.
Automatic Control, IEEE Transactions on,
23
(4),
602–608.
Loparo, K. A., & Blankenship, G.
(1976).
Estimating the domain of attraction for nonlinear feedback systems.
1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes,
(15),
1217–1222.
Professor Emeritus, Department of Electrical, Computer and Systems Engineering
Co-Director, Internet of Things Collaborative (IOTC)
Develop real-time data analytics and control algorithms for industrial, energy and physiological systems
Awards and Recognitions
2020,
Fellow,
IEEE & AIMBE
2015,
Life Fellow,
IEEE
2014,
Fellow,
AIMBE
1999,
Fellow,
IEEE
Research Interests
Stability and control of nonlinear and stochastic systems with applications to large-scale electricity systems including generation and transmission and distribution; nonlinear filtering with applications to monitoring, fault detection, diagnosis, prognosis and reconfigurable control; information theory aspects of stochastic and quantized systems with applications to adaptive and dual control and the design of distributed autonomous control systems; the development of advanced signal processing and data analytics for monitoring and tracking of physiological behavior in health and disease.Teaching Interests
Dynamic systems, signal processing, and controlProfessional Leadership and Service
Wednesday, January 1, 2014 -
PRESENT,
Fellow
AIMBE
Thursday, January 1, 2004 -
PRESENT,
Member
AMS
Thursday, January 1, 2004 -
PRESENT,
Member
SIAM
Thursday, January 1, 2004 -
PRESENT,
Memmer
Sleep Research Society
Thursday, January 1, 2015 -
PRESENT,
Life Fellow
IEEE
Publications
Affiliated School Research Areas
Affiliated Department Research Areas
News About Kenneth Loparo
Oct. 22, 2020
CWRU/CSU Internet of Things Collaborative establishing pair of technology research hubs
$3.1 million grant from the Cleveland Foundation will support engaging with industry and community
Aug. 17, 2020
Research matters
A quick peek at the multifaceted work being done across campus to better understand the science related to COVID-19
Kenneth Loparo In the News
Researchers at Case Western Reserve University testing map that assess COVID-19 risk in real time
Researchers at Case Western Reserve University announced that they have developed a new tool to help citizens better assess the risk of COVID-19 based on geographic location, in real-time.
Siemens, CWRU team up to advance energy grid research
Siemens, CWRU team up to advance energy grid research
CWRU, Siemens partnership will create new energy grid lab and curriculum
CWRU, Siemens partnership will create new energy grid lab and curriculum