Joseph Melville, Vishal Yadav, Lin Yang, Amanda R. Krause, Michael R. Tonks, Joel B. Harley, “An anisotropic physics regularized interpretable machine learning model for grain growth,” Computational Materials Science, vol. 238, pp. 112941, April 2024. DOI: 10.1016/j.commatsci.2024.112941
Bryan Conry, Molly Kole, William R. Burnett, Joel B. Harley, Michael R. Tonks, Michael S. Kesler, Amanda R. Krause, “The Evolution of Grain Boundary Energy in Textured and Untextured Ca-Doped Alumina During Grain Growth,” Journal of the American Ceramic Society, vol. 107, no. 3, pp. 1725-1735, March 2024. DOI: 10.1111/jace.19367
J. Melville, V. Yadav, A.R. Krause, M.R. Tonks, J.B. Harley, “A New Efficient Grain Growth Model using a Random Gaussian-Sampled Mode Filter,” Materials & Design, vol. 237, pp. 112604, January 2024. DOI: 10.1016/j.matdes.2023.112604
Lin Yang, Vishal Yadav, Joseph Melville, Joel B. Harley, Amanda R. Krause, Michael R. Tonks, “A Triple Junction Energy Study Using Inclination-Dependent Anisotropic Monte Carlo Potts model,” Materials & Design, vol. 239, pp. 112763, March 2023. DOI: 10.1016/j.matdes.2024.112763
Ishan Khurjekar, Bryan Conry, Michael S Kesler, Michael Tonks, Amanda R Krause, Joel B Harley, “Automated, High-Accuracy Classification of Textured Microstructures Using a Convolutional Neural Network,” Frontiers in Materials, vol. 10, pp. 25, January 2023. DOI: 10.3389/fmats.2023.1086000
Bryan Conry, Joel B Harley, Michael R Tonks, Michael S Kesler, Amanda R Krause, “Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina,” Journal of the European Ceramic Society, vol. 42, no. 13, pp. 5864-5873, 2022.
Weishi Yan, Joseph Melville, Vishal Yadav, Kristien Everett, Lin Yang, Michael S Kesler, Amanda R Krause, Michael R Tonks, Joel B Harley, “A novel physics-regularized interpretable machine learning model for grain growth,” Materials & Design, vol. 222, pp. 111032, 2022.
Lin Yang, Floyd Hilty, Vivekanand Muralikrishnan, Kenneth Silva-Reyes, Joel B Harley, Amanda R Krause, Michael R Tonks, “Calculating the grain boundary inclination of voxelated grain structures using a smoothing algorithm,” Scripta Materialia, vol. 218, pp. 114796, 2022.
Topic: Biomechanics + AI
M. T. Diaz, J. B. Harley, J. A. Nichols, “Sensitivity Analysis of Upper Limb Musculoskeletal Models during Isometric and Isokinetic Tasks,” Journal of Biomechanical Engineering, vol. 146, no. 2, pp. 021005, February 2024. DOI: 10.1115/1.4064056
I. Tappan, E. M. Lindbeck, J. A. Nichols, J.B. Harley, “Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study using Wrist Surgeries,” Annals of Biomedical Engineering, vol. 52, pp. 498-509, February 2024. DOI: 10.1007/s10439-023-03394-9
Nicholas J. Jackson, Koen Flores, Andrew Blake, Joel B. Harley, Christopher W. Reb, Jennifer A. Nichols, “The Center-Center Image Closely Approximates Other Methods for Syndesmosis Reduction Clamp Placement,” Foot & Ankle Specialist, vol. OnlineFirst, pp. 19386400231213741, December 2023. DOI: 10.1177/19386400231213741
E.M. Lindbeck, M.T. Diaz, J.A. Nichols, J.B. Harley, “Predictions of thumb, hand, and arm muscle parameters derived using force measurements of varying complexity and neural networks,” Journal of Biomechanics, vol. 161, pp. 111834, December 2023. DOI: 10.1016/j.jbiomech.2023.111834
K.M. Kearney, J.B. Harley, J.A. Nichols, “Inverse Distance Weighting to Rapidly Generate Large Simulation Datasets,” Journal of Biomechanics, vol. 158, pp. 111764, September 2023. DOI: 10.1016/j.jbiomech.2023.111764
Kalyn M Kearney, Joel B Harley, Jennifer A Nichols, “Classifying muscle parameters with artificial neural networks and simulated lateral pinch data,” Plos one, vol. 16, no. 9, pp. e0255103, 2021.
Yi Tang, Samuel M Brown, Jeff Sorensen, Joel B Harley, “Physiology-informed real-time mean arterial blood pressure learning and prediction for septic patients receiving norepinephrine,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 1, pp. 181-191, 2020.
Yi Tang, Samuel Brown, Jeff Sorensen, Joel B Harley, “Reduced rank least squares for real-time short term estimation of mean arterial blood pressure in septic patients receiving norepinephrine,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 9-Jan, 2019.
Topic: Nondestructive Evaluation + AI
Ishan Khurjekar, Joel B. Harley, “Reliability assessment of guided wave damage localization with deep learning methods,” Nondestructive Testing and Evaluation International, vol. 144, pp. 103099, June 2024.
Daniel J. Alabi, A. Skarlatos, Kyle A. Riding, Christophe Reboud, Joel B. Harley, “Magnetic Anisotropy Quantification in Steel fiber Reinforced Materials,” NDT&E International, vol. 141, pp. 102995, January 2024. DOI: 10.1016/j.ndteint.2023.102995
H.V. Tetali, B.D. Haeffele, J.B. Harley, “Wave Physics-Informed Matrix Factorizations,” IEEE Transactions on Signal Processing, vol. 72, pp. 535-548, January 2024. DOI: 10.1109/TSP.2023.3348948
Evan Benoit, Samuel Kingston, Samuel Hansen, Joel B. Harley, Cynthia Furse, “Capability of Impedance Measurement using Spread Spectrum Time Domain Reflectometry,” IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 1503709, September 2023. DOI: 10.1109/TIM.2023.3318677
K. Yang, S. Kim, J.B. Harley, “Unsupervised Long-Term Damage Detection in an Uncontrolled Environment Through Optimal Autoencoder,” Mechanical Systems and Signal Processing, vol. 199, pp. 110473, September 2023. DOI: 10.1016/j.ymssp.2023.110473
K. Yang, S. Kim, J.B. Harley, “Unsupervised Long-Term Damage Detection in an Uncontrolled Environment Through Optimal Autoencoder,” Mechanical Systems and Signal Processing, vol. 199, pp. 110473, September 2023. DOI: 10.1016/j.ymssp.2023.110473
Evan Benoit, Joel B. Harley, Cynthia Furse, “Evaluation of Impedance Measurement using Spread Spectrum Time Domain Reflectometry,” IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 2006008, July 2023. DOI: 10.1109/TIM.2023.3295463
Joel B. Harley, Suhaib Zafar, Charlie Tran, “Tips for Effective Machine Learning in NDT/E,” Materials Evaluation, vol. 81, no. 7, pp. 43-47, July 2023. DOI: 10.32548/2023.me-04358
Daniel J Alabi, Megan Voss, Christopher C Ferraro, Kyle Riding, Joel B Harley, “Electromagnetic method field test for characterizing steel fibers in ultra-high performance concrete (UHPC),” Construction and Building Materials, vol. 374, pp. 130873, April 2023. DOI: 10.1016/j.conbuildmat.2023.130873
Kang Yang, Sungwon Kim, Joel B Harley, “Improving Long-Term Guided Wave Damage Detection With Measurement Resampling,” IEEE Sensors Journal, vol. 23, no. 7, pp. 7178-7187, February 2023. DOI: 10.1109/JSEN.2023.3242259
Xinyao Tang, Soumyajit Mandal, Joel B Harley, Tayfun Ozdemir, “Acoustic sensing nodes and related systems and methods,” Patent, vol. 17032693, pp. , January 2023.
Harsha Vardhan Tetali, Joel Harley, “A physics-informed machine learning based dispersion curve estimation for non-homogeneous media,” Proceeding of Meetings on Acoustics, vol. 152, no. 4, pp. A239-A239, December 2022. DOI: 10.1121/2.0001739
Ishan D Khurjekar, Joel B Harley, “Sim-to-real localization: Environment resilient deep ensemble learning for guided wave damage localization,” The Journal of the Acoustical Society of America, vol. 151, no. 2, pp. 1325-1336, February 2022. DOI: 10.1121/10.0009580
Ayobami S Edun, Cody LaFlamme, Samuel R Kingston, Cynthia M Furse, Michael A Scarpulla, Joel B Harley, “Anomaly Detection of Disconnects Using SSTDR and Variational Autoencoders,” IEEE Sensors Journal, vol. 22, no. 4, pp. 3484-3492, 2022.
Kang Yang, Sungwon Kim, Rongting Yue, Haotian Yue, Joel B Harley, “Long-term guided wave structural health monitoring in an uncontrolled environment through long short-term principal component analysis,” Structural Health Monitoring, vol. 21, no. 4, pp. 1501-1517, 2022.
Kang Yang, Sungwon Kim, Joel B Harley, “Guidelines for effective unsupervised guided wave compression and denoising in long-term guided wave structural health monitoring,” Structural Health Monitoring, vol. 0, no. 0, pp. 0.00E+00, 2022.
K Supreet Alguri, Chen Ciang Chia, Joel B Harley, “Sim-to-Real: Employing ultrasonic guided wave digital surrogates and transfer learning for damage visualization,” Ultrasonics, vol. 111, pp. 106338, 2021.
Ayobami S Edun, Kirsten Perry, Joel B Harley, Chris Deline, “Unsupervised azimuth estimation of solar arrays in low-resolution satellite imagery through semantic segmentation and Hough transform,” Applied Energy, vol. 298, pp. 117273, 2021.
Evan Benoit, Jack Mismash, Samuel R Kingston, Ayobami S Edun, Hunter Ellis, Cody LaFlamme, Michael A Scarpulla, Joel B Harley, Cynthia M Furse, “Quantifying the window of uncertainty for SSTDR measurements of a photovoltaic system,” IEEE Sensors Journal, vol. 21, no. 8, pp. 9890-9899, 2021.
Hunter D Ellis, Cody LaFlamme, James R Nagel, Joel B Harley, Cynthia M Furse, “Signals Passing Through Asymmetric Faults in Transmission Lines,” IEEE Sensors Journal, vol. 21, no. 14, pp. 16134-16140, 2021.
Ayobami S Edun, Samuel Kingston, Cody LaFlamme, Evan Benoit, Michael A Scarpulla, Cynthia M Furse, Joel B Harley, “Detection and localization of disconnections in a large-scale string of photovoltaics using SSTDR,” IEEE Journal of Photovoltaics, vol. 11, no. 4, pp. 1097-1104, 2021.
Cody LaFlamme, Evan Benoit, Ayobami Edun, Cynthia M Furse, Paul K Kuhn, Michael A Scarpulla, Joel B Harley, “Quantifying the environmental sensitivity of SSTDR signals for monitoring PV strings,” IEEE Journal of Photovoltaics, vol. 12, no. 1, pp. 381-387, 2021.
Samuel Kingston, Evan Benoit, Ayobami S Edun, Farhad Elyasichamazkoti, Dawn E. Sweeney, Joel B Harley, Paul K Kuhn, Cynthia M Furse, “A SSTDR methodology, implementations, and challenges,” Sensors, vol. 21, no. 16, pp. 5268, 2021.
Samuel R Kingston, Hunter Ellis, Mashad U Saleh, Evan J Benoit, Ayobami Edun, Cynthia M Furse, Michael A Scarpulla, Joel B Harley, “Spread Spectrum Time Domain Reflectometry and Steepest Descent Inversion Spread Spectrum Time Domain Reflectometry and Steepest Descent Inversion,” The Applied Computational Electromagnetics Society Journal (ACES), pp. 190-198, 2021.
Samuel R Kingston, Cody La Flamme, Mashad Uddin Saleh, Hunter Ellis, Evan Benoit, Ayobami Edun, Michael A Scarpulla, Cynthia Furse, Joel B Harley, “Spread Spectrum Time Domain Reflectometry (SSTDR) Digital Twin Simulation of Photovoltaic Systems for Fault Detection and Location.,” Progress in Electromagnetics Research B, vol. 94, pp. 105-126, 2021.
Harsha Vardhan Vardhan Tetali, Joel B Harley, Benjamin D Haeffele, “Wave-Informed Matrix Factorization with Global Optimality Guarantees,” arXiv preprint, pp. arXiv: 2107.09144, 2021.
Soroosh Sabeti, Joel B Harley, “Spatio-temporal undersampling: Recovering ultrasonic guided wavefields from incomplete data with compressive sensing,” Mechanical Systems and Signal Processing, vol. 140, pp. 106694, 2020.
Mashad Uddin Saleh, Joel B Harley, Naveen Kumar Tumkur Jayakumar, Samuel Kingston, Evan Benoit, Michael A Scarpulla, Cynthia Furse, “Reflectometry on asymmetric transmission line systems,” Progress In Electromagnetics Research M, vol. 89, pp. 121-130, 2020.
Ayobami S Edun, Naveen Kumar Tumkur Jayakumar, Samuel R Kingston, Cynthia M Furse, Michael A Scarpulla, Joel B Harley, “Spread spectrum time domain reflectometry with lumped elements on asymmetric transmission lines,” IEEE Sensors Journal, vol. 21, no. 2, pp. 921-929, 2020.
Mashad Uddin Saleh, Chris Deline, Evan Benoit, Samuel Kingston, Ayobami S Edun, Naveen Kumar Tumkur Jayakumar, Joel B Harley, Cynthia Furse, Michael Scarpulla, “An overview of spread spectrum time domain reflectometry responses to photovoltaic faults,” IEEE Journal of Photovoltaics, vol. 10, no. 3, pp. 844-851, 2020.
Samuel R Kingston, Naveen Kumar Tumkur Jayakumar, Mashad Uddin Saleh, Evan J Benoit, Ayobami S Edun, Rujun Sun, Cynthia M Furse, Michael A Scarpulla, Joel B Harley, “Measurement of capacitance using spread spectrum time domain reflectometry (SSTDR) and dictionary matching,” IEEE Sensors Journal, vol. 20, no. 17, pp. 10102-10109, 2020.
Hunter D Ellis, Mashad Uddin Saleh, Samuel R Kingston, Joel B Harley, Michael A Scarpulla, Evan J Benoit, Cynthia M Furse, “A model for SSTDR signal propagation through photovoltaic strings,” IEEE Journal of Photovoltaics, vol. 10, no. 6, pp. 1846-1852, 2020.
Ayobami S Edun, Cody LaFlamme, Samuel R Kingston, Harsha Vardhan Tetali, Evan J Benoit, Michael Scarpulla, Cynthia M Furse, Joel B Harley, “Finding faults in PV systems: Supervised and unsupervised dictionary learning with SSTDR,” IEEE Sensors Journal, vol. 21, no. 4, pp. 4855-4865, 2020.
Mashad Uddin Saleh, Chris Deline, Evan J Benoit, Samuel R Kingston, Joel B Harley, Cynthia M Furse, Michael A Scarpulla, “Detection and localization of damaged photovoltaic cells and modules using spread spectrum time domain reflectometry,” IEEE Journal of Photovoltaics, vol. 11, no. 1, pp. 195-201, 2020.
Sungwon Kim, Spencer Shiveley, Alexander CS Douglass, Yisong Zhang, Rajeev Sahay, Daniel O Adams, Joel B Harley, “Efficient storage and processing of large guided wave data sets with random projections,” Structural Health Monitoring, vol. 20, no. 5, pp. 2513-2524, 2020.
Alexander CS Douglass, Joel B Harley, “Model-based statistical guided wave damage detection for an aluminum plate,” Structural Health Monitoring, vol. 19, no. 6, pp. 1937-1950, 2020.
Alexander CS Douglass, Daniel Sparkman, Joel B Harley, “Segmentation of Hidden Delaminations with Pitch–Catch Ultrasonic Testing and Agglomerative Clustering,” Journal of Nondestructive Evaluation, vol. 39, pp. 11-Jan, 2020.
Ishan D Khurjekar, Joel B Harley, “Uncertainty aware deep neural network for multistatic localization with application to ultrasonic structural health monitoring,” arXiv preprint, pp. arXiv:2007.06814, 2020.
Uddin Saleh, Mashad; Deline, Christopher A; Terwilliger, Kent; McDanold, Byron; Benoit, Evan; Kingston, Samuel; Kumar Tumkur Jayakumar, Naveen; Harley, Joel; Furse, Cynthia; Scarpulla, Michael;, “Spread Spectrum Time Domain Reflectometry for Detecting Accelerated Degradation in Photovoltaic Cells,” IEEE Journal of Photovoltaics, vol. 10, no. 3, pp. 844-851, March 2019.
Joel B Harley, Mashad Uddin Saleh, Samuel Kingston, Michael A Scarpulla, Cynthia Furse, “Fast transient simulations for multi-segment transmission lines with a graphical model,” Progress In Electromagnetics Research, vol. 165, pp. 67-82, 2019.
Soroosh Sabeti, Cara AC Leckey, Luca De Marchi, Joel B Harley, “Sparse wavenumber recovery and prediction of anisotropic guided waves in composites: A comparative study,” IEEE transactions on ultrasonics, ferroelectrics, and frequency control, vol. 66, no. 8, pp. 1352-1363, 2019.
Naveen Kumar Tumkur Jayakumar, Evan Benoit, Samuel Kingston, Mashad Uddin Saleh, Michael Scarpulla, Joel B Harley, Cynthia Furse, “Postprocessing for improved accuracy and resolution of spread spectrum time-domain reflectometry,” IEEE Sensors Letters, vol. 3, no. 6, pp. 4-Jan, 2019.
Mashad Uddin Saleh, Chris Deline, Samuel Kingston, Naveen Kumar Tumkur Jayakumar, Evan Benoit, Joel B Harley, Cynthia Furse, Mike Scarpulla, “Detection and localization of disconnections in PV strings using spread-spectrum time-domain reflectometry,” IEEE Journal of Photovoltaics, vol. 10, no. 1, pp. 236-242, 2019.
Joel B Harley, Jose M.F. Moura, “Temperature compensation in wave-based damage detection systems,” US Patent 10,324,068, pp. , 2019.
Ishan D Khurjekar, Joel B Harley, “Accounting for physics uncertainty in ultrasonic wave propagation using deep learning,” arXiv preprint, pp. arXiv:1911.02743, 2019.
K Supreet Alguri, Joseph Melville, Joel B Harley, “Baseline-free guided wave damage detection with surrogate data and dictionary learning,” The Journal of the Acoustical Society of America, vol. 143, no. 6, pp. 3807-3818, 2018.
Alexander CS Douglass, Joel B Harley, “Dynamic time warping temperature compensation for guided wave structural health monitoring,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 5, pp. 851-861, 2018.
Mashad Uddin Saleh, Josiah LaCombe, Naveen Kumar Tumkur Jayakumar, Samuel Kingston, Joel Harley, Cynthia Furse, Mike Scarpulla, “Signal propagation through piecewise transmission lines for interpretation of reflectometry in photovoltaic systems,” IEEE Journal of Photovoltaics, vol. 9, no. 2, pp. 506-512, 2018.
Joel B Harley, Chen Ciang Chia, “Statistical partial wavefield imaging using Lamb wave signals,” Structural Health Monitoring, vol. 17, no. 4, pp. 919-935, 2018.
Wenbo Zhao, Ming Li, Joel B Harley, Yuanwei Jin, José MF Moura, Jimmy Zhu, “Reconstruction of Lamb wave dispersion curves by sparse representation with continuity constraints,” The Journal of the Acoustical Society of America, vol. 141, no. 2, pp. 749-763, 2017.
Joel B Harley, Chang Liu, Irving J Oppenheim, José MF Moura, “Managing complexity, uncertainty, and variability in guided wave structural health monitoring,” SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 5, pp. 325-336, 2017.
K Supreet Alguri, Joel B Harley, “Guided wave reconstruction in complex geometries with a dictionary learning framework,” The Journal of the Acoustical Society of America, vol. 139, no. 4, pp. 2196-2196, 2016.
Joel B Harley, K Supreet Alguri, Alexander Douglass, “Merging models and data: Predictive modeling for guided wave,” The Journal of the Acoustical Society of America, vol. 139, no. 4, pp. 2196-2197, 2016.
Alexander C Douglass, Joel B Harley, “Dynamic time warping: Compensating for temperature variations,” The Journal of the Acoustical Society of America, vol. 139, no. 4, pp. 2109-2109, 2016.
Joel B Harley, K Supreet Alguri, “Decomposing guided wavefields with dictionary learning,” The Journal of the Acoustical Society of America, vol. 140, no. 4, pp. 3054-3054, 2016.
Joel B Harley, José MF Moura, “Dispersion curve recovery with orthogonal matching pursuit,” The Journal of the Acoustical Society of America, vol. 137, no. 1, pp. EL1-EL7, 2015.
Chang Liu, Joel B Harley, Mario Bergés, David W Greve, Irving J Oppenheim, “Robust ultrasonic damage detection under complex environmental conditions using singular value decomposition,” Ultrasonics, vol. 58, pp. 75-86, 2015.
Joel B Harley, José MF Moura, “Data-driven and calibration-free Lamb wave source localization with sparse sensor arrays,” IEEE transactions on ultrasonics, ferroelectrics, and frequency control, vol. 62, no. 8, pp. 1516-1529, 2015.
Joel B Harley, “Predictive guided wave models through sparse modal representations,” Proceedings of the IEEE, vol. 104, no. 8, pp. 1604-1619, 2015.
Joel B Harley, José MF Moura, “Data-driven matched field processing for Lamb wave structural health monitoring,” The Journal of the Acoustical Society of America, vol. 135, no. 3, pp. 1231-1244, 2014.
Joel B Harley, “Data-driven, sparsity-based matched field processing for structural health monitoring,” PhD Dissertation, Carnegie Mellon University, pp. 163, 2014.
Yujie Ying, James H Garrett Jr, Irving J Oppenheim, Lucio Soibelman, Joel B Harley, Jun Shi, Yuanwei Jin, “Toward data-driven structural health monitoring: application of machine learning and signal processing to damage detection,” Journal of Computing in Civil Engineering, vol. 27, no. 6, pp. 667-680, 2013.
Yujie Ying, James H Garrett Jr, Joel Harley, Irving J Oppenheim, Jun Shi, Lucio Soibelman, “Damage Detection in Pipes under Changing Environmental Conditions using Embedded Piezoelectric Transducers and Pattern Recognition Techniques,” Journal of Pipeline Systems Engineering and Practice, vol. 4, no. 1, pp. 17-23, 2013.
Joel B Harley, José M.F. Moura, “Sparse Recovery of the Multimodal and Dispersive Characteristics of Lamb Waves,” Journal of the Acoustical Society of America, vol. 133, no. 5, pp. 2732-2745, 2013.
C Liu, JB Harley, DW Greve, M BERGÃ, IJ Oppenheim, “Identifying pipe degradation in a highly dynamic environment using singular value decomposition,” Structural Health Monitoring 2013, pp. , 2013.
Joel B Harley, José MF Moura, “Scale transform signal processing for optimal ultrasonic temperature compensation,” IEEE transactions on ultrasonics, ferroelectrics, and frequency control, vol. 59, no. 10, pp. 2226-2236, 2012.
Nicholas A O’Donoughue, Joel Harley, José MF Moura, Jun Shi, “Ultrasonic defect localization in pipes using time reversal.,” The Journal of the Acoustical Society of America, vol. 129, no. 4, pp. 2532-2532, 2011.
Yujie Ying, Joel Harley, James H Garrett Jr, Yuanwei Jin, Irving J Oppenheim, Jun Shi, Lucio Soibelman, “Applications of machine learning in pipeline monitoring,” Computing in Civil Engineering (2011), pp. 242-249, 2011.
