Kenneth Loparo

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

Office: 705 Olin Phone Number: (216) 368-4115 Email: kenneth.loparo@case.edu

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 control

Professional Leadership and Service

Jan. 1, 2015 - PRESENT, Life Fellow IEEE

Jan. 1, 2004 - PRESENT, Member SIAM

Jan. 1, 2014 - PRESENT, Fellow AIMBE

Jan. 1, 2004 - PRESENT, Memmer Sleep Research Society

Jan. 1, 2004 - PRESENT, Member AMS

Publications

Sajadi, A., Strezoski, L., Khodaei, A., Loparo, K. A., Fotuhi-Firuzabad, M. A., Preece, R. A., Yue, M. A., Ding, F. A., Levi, V. A., Arboleya, P. A., & Others, P. A. (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.

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.

Sun, J., Hong, M., Loparo, K. A., & Hong, M. A. (2020). Voltage Regulation of DC-Microgrid with PV and Battery. IEEE Trans. on Smart Grid , 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.

Srivastav, A., Nguyen, P., McConnell, M., Loparo, K. A., & Mandal, S. A. (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., Peng, Q., Ju, M., Song, W., & 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., Peng, Q., Ju, M., Song, W., & 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. A., & Shaikh, A. A. (2020). Hyperventilation Increases the Randomness of Ocular Palatal Tremor Waveforms. The Cerebellum.

Theeranaew, W., Thurtell, M., Loparo, K. A., & Shaikh, A. 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., Fletcher, D., Hsieh, Y., Bonfield, T., Loparo, K. A., Dick, T. A., & Jacono, F. A. (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.

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.

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.

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.

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.

Mann, J., Vandendriessche, B., Jacono, F., & Loparo, K. A. (2020). Data Collection and Analysis in the ICU. Neurocritical Care Informatics.

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.

Sun, Y., & Loparo, K. A. (2020). Context aware image annotation in active learning. arXiv preprint arXiv:2002.02775.

Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., Wei, X., & 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. A., & Shaikh, A. A. (2020). Hyperventilation Increases the Randomness of Ocular Palatal Tremor Waveforms. The Cerebellum.

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.

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.

Ye, F., Hou, S., Fan, Y., Zhang, Y., Qian, Y., Sun, S., Peng, Q., Ju, M., Song, W., & 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). 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). 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.

Sandhu, A., Wang, Y., Bena, J., Loparo, K. A., Taylor, J. A., Nawabit, R. A., Chung, M. A., Van Wagoner, D. A., Walia, H. A., & Others, H. A. (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.

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.

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.

Young, B., Loparo, K. A., Dick, T. A., & Jacono, F. A. (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. A., Morris, A. A., Woods, N. A., Deyling, E. A., Tatsuoka, C. A., Lhatoo, S. A., & Sajatovic, M. A. (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.

Raffay, T., Dylag, A., Sattar, A., Abu Jawdeh, E., Cao, S., Pax, B., Loparo, K. A., Martin, R. A., & Di Fiore, J. A. (2019). Neonatal intermittent hypoxemia events are associated with diagnosis of bronchopulmonary dysplasia at 36 weeks postmenstrual age. Pediatric Research, 85 (3), 318-323.

Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & 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.

Agharazi, H., Kolacinski, R. M., Theeranaew, W. M., & Loparo, K. A. (2019). A swarm intelligence-based approach to anomaly detection of dynamic systems. Swarm and Evolutionary Computation, 44 , 806-827.

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.

Sajadi, A., Kolacinski, R. M., Clark, K. M., & 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.

Vilella, L., Lacuey, N., Hampson, J., Rani, M., Loparo, K. A., Sainju, R. A., Friedman, D. A., Nei, M. A., Strohl, K. A., Allen, L. A., & Others, L. A. (2019). Incidence, Recurrence, and Risk Factors for Peri-ictal Central Apnea and Sudden Unexpected Death in Epilepsy. Frontiers in neurology, 10

Young, B., Loparo, K. A., Dick, T. A., & Jacono, F. A. (2019). Ventilatory Pattern Variability as a Biometric for Severity of Acute Lung Injury in Rats. Respiratory Physiology \& Neurobiology.

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.

McVoy, M., Aebi, M., Loparo, K. A., Lytle, S. A., Morris, A. A., Woods, N. A., Deyling, E. A., Tatsuoka, C. A., Lhatoo, S. A., & Others, S. A. (2019). Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder. Journal of child and adolescent psychopharmacology.

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.

Kobayashi, L., Oyalowo, A., Agrawal, U., Chen, S., Asaad, W., Huang, X., Loparo, K. A., Jay, G. A., & Merck, D. A. (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.

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.

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.

Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., Wei, X., & 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.

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.

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.

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., Stone, K., Loparo, K. A., Purcell, S. A., Redline, S. A., & Aeschbach, D. A. (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., Gottlieb, D., Quan, S., Loparo, K. A., Redline, S. A., & Mehra, R. A. (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.

Lacuey, N., Hampson, J., Theeranaew, W., Zonjy, B., Vithala, A., Hupp, N., Loparo, K. A., Miller, J. A., & Lhatoo, S. A. (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.

Theeranaew, W., McDonald, J., Zonjy, B., Moseley, B., Friedman, D., So, E., Tao, J., Nei, M., Ryvlin, P., Surges, R., Thijs, R., Schuele, S., Lhatoo, S., & Loparo, K. A. (2018). Automated Detection of Postictal Generalized EEG Suppression. IEEE Transactions on Biomedical Engineering, 65 (2), 371-377.

Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & 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.

Theeranaew, W., McDonald, J., Sinha, A., Lhatoo, S., & Loparo, K. A. (2018). Integrative Analysis of Multimodal Data for SUDEP Biomarker Discovery. IEEE Sensors Letters.

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.

Agharazi, H., Theeranaew, W., Kolacinski, R. M., & Loparo, K. A. (2018). AN INFORMATION-THEORETIC. .

Raffay, T., Dylag, A., Sattar, A., Abu, E., Cao, S., Pax, B., Loparo, K. A., Martin, R. A., & Di Fiore, J. A. (2018). Neonatal intermittent hypoxemia events are associated with diagnosis of bronchopulmonary dysplasia at 36 weeks postmenstrual age.. Pediatric research.

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.

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., 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.

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., 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.

Crawford, A., Armstrong, K., Loparo, K. A., Audu, M. L., & Triolo, R. L. (2017). Detecting destabilizing wheelchair conditions for maintaining seated posture. Disability and Rehabilitation: Assistive Technology.

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).

Vandendriessche, B., Abas, M., Nethery, D., Dick, T., Loparo, K. A., & Jacono, F. A. (2017). Trajectory of multiscalar variability dynamics in a physiologic state space correlates with mortality in septic patients. Journal of Critical Care, 38 , 367-368.

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

Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., Fietkiewicz, C., & 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., Dick, T., Loparo, K. A., & Jacono, F. A. (2017). A Framework for Patient State Tracking by Classifying Multiscalar Physiologic Waveform Features. IEEE Transactions on Biomedical Engineering.

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.

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.

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.

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.

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.

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.

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.

Hong, M., Yu, X., Yu, N., Loparo, K. A., & Others, K. A. (2016). An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids. IEEE.

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.

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].

Sahoo, S., Wei, A., Valdez, J., Wang, L., Zonjy, B., Tatsuoka, C., Loparo, K. A., & Lhatoo, S. A. (2016). NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig. Frontiers in Neuroinformatics [16625196], 10

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.

Liu, C., Wang, J., Li, H., Lu, M., Deng, B., Yu, H., Wei, X., Fietkiewicz, C., & Loparo, K. A. (2016). Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network. IEEE Transactions on Neural Networks [10459227].

Monahan, K., Song, Y., Loparo, K. A., Mehra, R. A., Harrell, Jr, F. A., & Redline, S. A. (2016). Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms. Sleep and Breathing, 20 (2), 515–522.

Lacuey, N., Zonjy, B., Theerannaew, W., Loparo, K. A., Tatsuoka, C. A., Sahadevan, J. A., & Lhatoo, S. A. (2016). Left-insular damage, autonomic instability, and sudden unexpected death in epilepsy. Epilepsy and Behavior [15255050], 55 , 170-173.

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.

Fietkiewicz, C., & Loparo, K. A. (2016). Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy. Scientifica, 2016 (3628247).

Yaqub, M., & Loparo, K. A. (2016). An automated approach for bearing damage detection. Journal of Vibration and Control, 22 (14), 3253–3266.

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.

Vandendriessche, B., Abas, M., Dick, T., Loparo, K. A., & Jacono, F. A. (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.

Liu, C., Wang, J., Deng, B., Wei, X., Yu, H., Li, H., Fietkiewicz, C., & 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.

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.

Ding, F., Loparo, K. A., & Others, K. A. (2015). Feeder Reconfiguration for Unbalanced Distribution Systems With Distributed Generation: A Hierarchical Decentralized Approach. IEEE.

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. , 37 (10), 1217-1231.

Wang, Y., Loparo, K. A., Kelly, M. A., & Kaplan, R. A. (2015). Evaluation of an automated single-channel sleep staging algorithm. Nature and science of sleep, 7 , 101.

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.

Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., Loparo, K. A., & Fietkiewicz, C. A. (2015). Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models. Communications in Nonlinear Science and Numerical Simulation, 28 (1), 10–26.

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. , 30 (5), 2404-2416.

Jayapandian, C., Wei, A., Ramesh, P., Zonjy, B., Lhatoo, S., Loparo, K. A., Zhang, G. A., & Sahoo, S. A. (2015). A scalable neuroinformatics data flow for electrophysiological signals using MapReduce. Frontiers in neuroinformatics, 9

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.

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.

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.

Yaqub, M., & Loparo, K. A. (2014). An automated approach for bearing damage detection. Journal of Vibration and Control.

Janjarasjitt, S., & Loparo, K. A. (2014). Examination of scale-invariant characteristics of epileptic electroencephalograms using wavelet-based analysis. Computers & Electrical Engineering.

Janjarasjitt, S., & Loparo, K. A. (2014). Scale-invariant behavior of epileptic ECoG. J. Med. Biol. Eng.

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.

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

Georgescu, N., Loparo, K. A., Jebaraj, A. A., & Scherson, D. A. (2014). On the Effect of the Ir Drop on Chronoamperometric Measurements Involving Irreversibly Adsorbed Redox Active Species on Electrode Surfaces. Meeting Abstracts.

Blackwell, T., Stone, P., Stone, K., Cawthon, P., Loparo, K. A., Varosi, P. A., Redline, S. A., Mehra, R. A., & May, A. 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., & Others, K. A. (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. A. (2014). A Method for the Inclusion of Sphenoidal Electrodes in Realistic EEG Source Imaging. Journal of Clinical Neurophysiology, 31 (5), 429–436.

Yamauchi, M., Jacono, F., Fujita, Y., Kumamoto, M., Yoshikawa, M., Campanaro, C., Loparo, K. A., Strohl, K. A., & Kimura, H. A. (2014). Effects of environment light during sleep on autonomic functions of heart rate and breathing. Sleep and Breathing.

Kaplan, R., Wang, Y., Loparo, K. A., Kelly, M. A., & Bootzin, R. A. (2014). Performance evaluation of an automated single-channel sleep–wake detection algorithm. Nature and science of sleep, 6 , 113.

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.

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., 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.

Bozorgi, A., Chung, S., Loparo, K. A., Sahoo, S. A., Zhang, G. A., Kaiboriboon, K. A., & Lhatoo, S. A. (2013). Significant postictal hypotension: Expanding the spectrum of seizure-induced autonomic dysregulation. Epilepsia.

Yamauchi, M., Jacono, F., Fujita, Y., Yoshikawa, M., Ohnishi, Y., Nakano, H., Campanaro, C., Loparo, K. A., Strohl, K. A., & Kimura, H. A. (2013). Breathing irregularity during wakefulness associates with CPAP acceptance in sleep apnea. Sleep and Breathing.

Dick, T., Hsieh, Y., Litvin, D., Nethery, D., Zhu, Y., Galána, R., Wilson, C., Loparo, K. A., & Jacono, F. A. (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.

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., Loparo, K. A., Lhatoo, S. A., & Zhang, G. A. (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.

Park, S., Loparo, K. A., & Jacono, F. A. (2013). The use of heart rate variability for the early detection of treatable complications after aneurysmal subarachnoid hemorrhage. Journal of clinical monitoring and computing.

Yaqub, M., Gondal, I., Kamruzzaman, J., & Loparo, K. A. (2013). Abrasion Modeling of Multiple-Point Defect Dynamics for Machine Condition Monitoring. IEEE.

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., 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.

Freitas, J., Kaur, G., Fernandez, G., Tatsuoka, C., Loparo, K. A., Rao, S. A., Loplumlert, J. A., Kaiboriboon, K. A., Amina, S. A., & Others, S. A. (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.

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.

Friedman, L., Dick, T., Jacono, F., Loparo, K. A., Yeganeh, A. A., Fishman, M. A., Wilson, C. A., & Strohl, K. A. (2012). Cardio-ventilatory coupling in young healthy resting subjects. Journal of Applied Physiology, 112 (8), 1248–1257.

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.

Loparo, K. A., Dick, T. A., Fishman, M. A., Jacono, F. A., Park, S. A., Jamasebi, R. A., & Thungtong, A. A. (2012). A method for analyzing temporal patterns of variability. J Appl Physiol, 113 , 297–306.

Thungtong, A., Loparo, K. A., Dick, T. A., Jacono, F. A., & Knoch, M. A. (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.

Chung, A., Fishman, M., Dasenbrook, E., Loparo, K. A., Dick, T. A., & Jacono, F. A. (2012). Isoflurane and ketamine anesthesia have different effects on ventilatory pattern variability in rats. Respiratory physiology & neurobiology.

Fishman, M., Jacono, F., Park, S., Jamasebi, R., Thungtong, A., Loparo, K. A., & Dick, T. A. (2012). A method for analyzing temporal patterns of variability of a time series from Poincare plots. Journal of Applied Physiology, 113 (2), 297–306.

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.

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. A., Schluchter, M. A., Foglyano, R. A., Martin, R. A., & Wilson, C. A. (2012). The relationship between patterns of intermittent hypoxia and retinopathy of prematurity in preterm infants. Pediatric research, 72 (6), 606–612.

Scher, M., Johnson, M., Ludington-Hoe, S., & Loparo, K. A. (2011). Physiologic brain dysmaturity in late preterm infants. Pediatric research, 70 (5), 524–528.

Hai, B., Tolmachev, Y., Loparo, K. A., Zanelli, C. A., & Scherson, D. A. (2011). Cyclic versus Staircase Voltammetry in Electrocatalysis: Theoretical Aspects. Journal of The Electrochemical Society, 158 (2), F15–F19.

Fietkiewicz, C., Loparo, K. A., & Wilson, C. A. (2011). Drive latencies in hypoglossal motoneurons indicate developmental change in the brainstem respiratory network. Journal of Neural Engineering, 8 (6), 065011.

Dhingra, R., Jacono, F., Fishman, M., Loparo, K. A., Rybak, I. A., & Dick, T. A. (2011). Vagal-dependent nonlinear variability in the respiratory pattern of anesthetized, spontaneously breathing rats. Journal of Applied Physiology, 111 (1), 272–284.

Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., Loparo, K. A., & Fietkiewicz, C. A. (2011). Commun Nonlinear Sci Numer Simulat. .

Yamauchi, M., Tamaki, S., Yoshikawa, M., Ohnishi, Y., Nakano, H., Jacono, F., Loparo, K. A., Strohl, K. A., & Kimura, H. A. (2011). Differences in breathing patterning during wakefulness in patients with mixed apnea-dominant vs obstructive-dominant sleep apnea. CHEST Journal, 140 (1), 54–61.

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

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

Yamauchi, M., Tamaki, S., Yoshikawa, M., Ohnishi, Y., Nakano, H., Jacono, F., Loparo, K. A., Strohl, K. A., & Kimura, H. A. (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.

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. A., Suciu, G. A., Griffin, C. A., Zamani, H. A., Syed, T. A., Loddenkemper, T. A., & Alexopoulos, A. A. (2009). A self-administered screening instrument for psychogenic nonepileptic seizures. .

Scher, M., & Loparo, K. A. (2009). Neonatal EEG/sleep state analyses: a complex phenotype of developmental neural plasticity. Developmental neuroscience, 31 (4), 259–275.

Zeng, X., Gurkan Cavusoglu, E., Loparo, K. A., & KInsella, T. A. (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.

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.

Piryatinska, A., Terdik, G., Woyczynski, W., Loparo, K. A., Scher, M. A., & Zlotnik, A. A. (2009). Automated detection of neonate EEG sleep stages. Computer methods and programs in biomedicine, 95 (1), 31–46.

Furlan, J., Kadambi, J. R., Loparo, K. A., Sreenath, S. N., & Manjila, S. N. (2009). PIV Investigation of Cerebral Spinal Fluid Flow in the Cerebral Ventricular System. Journal of Flow Visualization and Image Processing, 16 (2).

Foglyano, R., Dick, T., Loparo, K. A., & Wilson, C. A. (2009). Quantifying the complexity of neural network output using entropy measures. BMC Neuroscience, 10 (Suppl 1), P322.

DeCastro, J., Tang, L., Loparo, K. A., Goebel, K. A., & Vachtsevanos, G. A. (2009). Exact nonlinear filtering and prediction in process model-based prognostics. Annual Conference of the Prognostics and Health Management Society.

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.

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.

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.

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. A., Gupta, S. A., & Sreenath, S. N. (2008). Complex Systems Biology of Prostate Cancer. .

Yamauchi, M., Ocak, H., Dostal, J., Jacono, F., Loparo, K. A., & Strohl, K. A. (2008). Post-sigh breathing behavior and spontaneous pauses in the C57BL/6J (B6) mouse. Respiratory physiology & neurobiology, 162 (2), 117–125.

Soebiyanto, R., Sreenath, S. N., Qu, C. N., Loparo, K. A., & Bunting, K. A. (2007). Complex systems biology approach to understanding coordination of JAK-STAT signaling. Biosystems, 90 (3), 830–842.

Ocak, H., Loparo, K. A., & Discenzo, F. A. (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. A. (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. A., & Sedwick, W. A. (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., Waisanen, H., Loparo, K. A., & Johnson, M. A. (2005). Prediction of neonatal state and maturational change using dimensional analysis. Journal of clinical neurophysiology, 22 (3), 159–165.

Scher, M., Turnbull, J., Loparo, K. A., & Johnson, M. A. (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. A. (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.

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.

Lou, X., Loparo, K. A., Discenzo, F. A., Yoo, J. A., & Twarowski, A. A. (2004). A model-based technique for rolling element bearing fault detection. Mechanical Systems and Signal Processing, 18 , 1077–1095.

Loparo, K. A., & Fang, Y. A. (2004). Stability of continuous time jump linear systems. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS, 11 (2-3), 369–395.

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.

Lee, E., Park, J., Loparo, K. A., Schrader, C. A., & Chang, P. A. (2003). Bang-bang impact control using hybrid impedance/time-delay control. Mechatronics, IEEE/ASME Transactions on, 8 (2), 272–277.

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.

Wolbank, T., Loparo, K. A., & Wohrnschimmel, R. A. (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.

Sinha, A., & Loparo, K. A. (2003). A mathematical and computational model for the analysis of abstract systems. submitted to Springer-Verlag.

Wolbank, T., Loparo, K. A., & Wohrnschimmel, R. A. (2003). Inverter statistics for online detection of stator asymmetries in inverter-fed induction motors. Industry Applications, IEEE Transactions on, 39 (4), 1102–1108.

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). Stochastic stability of jump linear systems. Automatic Control, IEEE Transactions on, 47 (7), 1204–1208.

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.

Kelso, R., & Loparo, K. A. (2002). Arousal Detection in Neonatal EEG Signals Using Hidden Markov Models. .

Fang, Y., & Loparo, K. A. (2002). Stabilization of continuous-time jump linear systems. Automatic Control, IEEE Transactions on, 47 (10), 1590–1603.

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. A. (2001). Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs). International Journal of Machine Tools and Manufacture, 41 (9), 1363–1384.

Lou, X., Loparo, K. A., Discenzo, F. A., Yoo, J. A., & Twarowski, A. A. (2000). A wavelet-based technique for bearing diagnostics. International Conference on Acoustics, Noise and Vibration, Montreal, Canada.

Loparo, K. A., Adams, M. A., Abdel-Magied, M. A., & Afshari, N. A. (2000). Fault detection and diagnosis of rotating machinery. Industrial Electronics, IEEE Transactions on, 47 (5), 1005–1014.

Discenzo, F., Unsworth, P., Loparo, K. A., & Marcy, H. A. (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. A. (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. A. (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.

Fang, Y., Loparo, K. A., & Feng, X. A. (1997). New estimates for solutions of Lyapunov equations. IEEE transactions on automatic control, 42 (3), 408–411.

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., & Fang, Y. A. (1997). Optimal state estimation for stochastic systems: An information theoretic approach. Automatic Control, IEEE Transactions on, 42 (6), 771–785.

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.

Adams, M. L., & Loparo, K. A. (1996). Chaos concepts as diagnostic tools for assessing rotating machinery vibration signatures. AIP Conference Proceedings, 375 , 431.

Hobbs, B., Ji, Y., Chang, C., Loparo, K. A., Jober, J. A., & Ohman, M. A. (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.

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.

Teixeira, E., Loparo, K. A., Gomide, F. A., & Monica, U. A. (1995). FEEDBACK LINEARIZATION OF UNKNOWN NONLINEAR SYSTEMS. IECON’99, 1 , 182.

Fang, Y., Loparo, K. A., & Feng, X. A. (1994). A sufficient condition for stability of a polytope of matrices. Systems & control letters, 23 (4), 237–245.

Lee, H., Loparo, K. A., & Quinn, R. A. (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. A. (1994). Almost sure and $δ$moment stability of jump linear systems. International Journal of Control, 59 (5), 1281–1307.

Fang, Y., Loparo, K. A., & Feng, X. A. (1994). Inequalities for the trace of matrix product. Automatic Control, IEEE Transactions on, 39 (12), 2489–2490.

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.

Loparo, K. A., & Feng, X. A. (1993). Lyapunov exponent and rotation number of two-dimensional linear stochastic systems with telegraphic noise. SIAM Journal on Applied Mathematics, 53 (1), 283–300.

Buchner, M., & Loparo, K. A. (1993). A Signals and Systems Textbook. Gateway Engineering Education Coalition.

Fang, Y., Loparo, K. A., & Feng, X. A. (1993). Sufficient conditions for the stability of interval matrices. International Journal of Control, 58 (4), 969–977.

Chen, R., & Loparo, K. A. (1993). Identification of time delays in linear stochastic systems. International Journal of Control, 57 (6), 1273–1291.

Feng, X., Loparo, K. A., Ji, Y. A., & Chizeck, H. A. (1992). Stochastic stability properties of jump linear systems. Automatic Control, IEEE Transactions on, 37 (1), 38–53.

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.

Nadira, R., Loparo, K. A., & Dy Liacco, T. A. (1992). Maximal load demand allocation. Power Systems, IEEE Transactions on, 7 (2), 528–535.

Fashoro, M., Hàjek, O., & Loparo, K. A. (1992). Controllability properties of constrained linear systems. Journal of optimization theory and applications, 73 (2), 329–346.

Fashoro, M., Hàjek, O., & Loparo, K. A. (1992). Reachability properties of constrained linear systems. Journal of optimization theory and applications, 73 (1), 169–195.

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.

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.

Fang, Y., Loparo, K. A., & Feng, J. A. (1991). Modeling issues for the control systems with communication delays. Ford Motor Co., SCP Research Report.

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. A., & Vasudeva, K. A. (1991). Leak detection in an experimental heat exchanger process: a multiple model approach. Automatic Control, IEEE Transactions on, 36 (2), 167–177.

Loparo, K. A., & Chankong, V. A. (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.

BERGER, K., & Loparo, K. A. (1989). 17 A Hierarchical Framework for. Artificial intelligence, simulation, and modeling.

Hafez, W., Loparo, K. A., Rasmy, E. A., & Hashish, M. A. (1989). Generation of trajectory sensitivities: minimal-order realization. International Journal of Control, 49 (3), 809–825.

Yoshida, T., & Loparo, K. A. (1989). Quadratic regulatory theory for analytic non-linear systems with additive controls. Automatica, 25 (4), 531–544.

Widman, L., Loparo, K. A., & Nielsen, N. A. (1989). Artificial intelligence, simulation & modeling. John Wiley & Sons, Inc..

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.

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.

Loparo, K. A., Nielsen, N. A., & Widman, L. A. (1989). Artificial intelligence: proceedings, San Antonio, TX, USA, 1986. .

Casiello, F., & Loparo, K. A. (1989). Optimal policies for passive learning controllers. Automatica, 25 (5), 757–763.

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.

Yoel, R., Buchner, M., Loparo, K. A., & Cubukcu, A. 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. A., & Rasmy, E. A. (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.

Eckert, S., Loparo, K. A., & Roth, Z. A. (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. A., & Eckert, S. A. (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. A. (1985). A probabilistic mechanism for small disturbance instabilities in electric power systems. Circuits and Systems, IEEE Transactions on, 32 (2), 177–184.

Griffiths, B., & Loparo, K. A. (1985). Optimal control of jump-linear Gaussian systems. International Journal of Control, 42 (4), 791–819.

Loparo, K. A. (1985). Francisco Casiello. Proceedings of the... IEEE Conference on Decision & Control.

GRIFFITHS†, BARRY E, & Loparo, K. A. (1985). Optimal control of jump-linear gaussian systems†. International Journal of Control, 42 (4), 791–819.

Loparo, K. A., & Kuo, G. A. (1985). On the realization of input-decentralized representations for large-scale systems. Automatic Control, IEEE Transactions on, 30 (9), 909–912.

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.

Garzia, M., Loparo, K. A., & Martin, C. A. (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.

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. A. (1983). Riccati group invariants of linear hamiltonian systems. International Journal of Control, 38 (5), 897–911.

Loparo, K. A., & Hsu, C. A. (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.

Chinthala, S., & Loparo, K. A. (1981). Structural analysis of interconnected systems using bilinear models. Joint Automatic Control Conference.

Loparo, K. A., & Martin, C. A. (1981). THE RICCATI EQUATION, IMPRIMITIVE ACTIONS AND SYMPLECTIC FORMS MARIO R. GARZIA FPGD Information Systems Dept., Babcock & Wilcox Co., Barberton, Ohio 44203. Proceedings.

Loparo, K. A., & Roth, Z. A. (1981). Nonlinear filtering for process diagnostics. Joint Automatic Control Conference.

Loparo, K. A. (1980). STABILITY AND CONTROL OF NONLINEAR SYSTEMS. Proceedings, 23 , 246.

Sorooshian, S., Arfi, F., & Loparo, K. A. (1980). Parameter estimation and sensitivity analysis-Applications to hydrologic models. Joint Automatic Control Conference.

Loparo, K. A., & Blankenship, G. A. (1978). Estimating the domain of attraction of nonlinear feedback systems. Automatic Control, IEEE Transactions on, 23 (4), 602–608.

Loparo, K. A., & Blankenship, G. A. (1976). Estimating the domain of attraction for nonlinear feedback systems. 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.