Yongchao Yang

Profile Picture of Yongchao Yang
Title
Assistant Professor
Department
Mechanical Engineering - Engineering Mechanics
Institution
Michigan Technological University

Education

  • Ph.D. Rice University

Research Interests

Computer Vision   Compressive Sensing   Unsupervised Machine Learning  

  View all research interests

Biography

Dr. Yang’s expertise is in structural dynamics, experimental mechanics, and system identification. His recent research aims to develop "physics-guided" machine learning methodology for high-fidelity modeling, identification, and characterization of complex structural and system behaviors. In particular, his latest projects focus on developing full-field, high-resolution sensing/imaging methods for detecting subtle structural and material defects through optical and acoustic (ultrasonic) tools, combining approaches from computer vision and machine (deep) learning. These commonly involve processing very large-scale images/videos and sensor array "big" data, e.g., millions of pixels from a digital camera where every pixel is considered as a "virtual" sensor. His work strives to advance applications for structural health monitoring, non-destructive evaluations, dynamical system identification and control in the broad areas of cyber-physical systems. Before joining Michigan Tech, Dr. Yang was a staff scientist at Argonne National Laboratory (2018-2019), after a Director's Funded Postdoctoral Fellowship at Los Alamos National Laboratory (2015-2017). He obtained his PhD from Rice University in 2014 and bachelor's from Harbin Institute of Technology in 2010, both in structural engineering.

Homepages

Contact Information

  1400 Townsend Dr. Houghton, MI 49931

  906-487-3405

Research
Not mentioned yet. (?)
List of Publications (88)
In 2024
88

Data-driven modeling of bifurcation systems by learning the bifurcation parameter generalization. S Li, Y Yang Nonlinear Dynamics, 1-12, 2024.

Found on Publication Page
In 2023
87

Efficient regional seismic risk assessment via deep generative learning of surrogate models. S Li, C Farrar, Y Yang Earthquake Engineering & Structural Dynamics 52 (11), 3435-3454, 2023.

Found on Publication Page
86

Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning. S Li, Y Yang Journal of Engineering Mechanics 149 (3), 04023008, 2023.

Found on Publication Page
85

Super-sensitivity full-field measurement of structural vibration with an adaptive incoherent optical method. S Li, FA Azad, Y Yang Mechanical Systems and Signal Processing 202, 110666, 2023.

Found on Publication Page
84

Data-Driven Modeling of Parameterized Nonlinear Dynamical Systems with a Dynamics-Embedded Conditional Generative Adversarial Network. A Rostamijavanani, S Li, Y Yang Journal of Engineering Mechanics 149 (11), 04023094, 2023.

Found on Publication Page
83

A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal .... A Rostamijavanani, S Li, Y Yang Communications in Nonlinear Science and Numerical Simulation 123, 107278, 2023.

Found on Publication Page
82

On the fundamental sensitivity limit of incoherent optical methods for full-field displacement measurements. S Li, FA Azad, Y Yang IEEE Transactions on Instrumentation and Measurement, 2023.

Found on Publication Page
81

Automated modal identification by quantification of high-spatial-resolution response measurements. C Dorn, Y Yang Mechanical Systems and Signal Processing 186, 109816, 2023.

Found on Publication Page
80

Uncertainty quantification in super-resolution guided wave array imaging using a variational Bayesian deep learning approach. H Song, Y Yang NDT & E International 133, 102753, 2023.

Found on Publication Page
79

A deep generative framework for data-driven surrogate modeling and visualization of parameterized nonlinear dynamical systems. S Li, Y Yang Nonlinear Dynamics 111 (11), 10287-10307, 2023.

Found on Publication Page
In 2022
78

Output-only modal identification and structural damage detection using time-frequency and wavelet techniques for assessing and monitoring civil infrastructures. S Nagarajaiah, B Basu, Y Yang Sensor Technologies for Civil Infrastructures, 481-529, 2022.

Found on Publication Page
77

Computer vision based real time cable tension estimation algorithm using complexity pursuit from video and its application in Fred Hartman cable stayed bridge. D Jana, S Nagarajaiah, Y Yang Structural Control and Health Monitoring 29 (9), e2985, 2022.

Found on Publication Page
76

Data-Driven Nonlinear Modal Analysis: A Deep Learning Approach. S Li, Y Yang Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A ..., 2022.

Found on Publication Page
75

Accelerated noncontact guided wave array imaging via sparse array data reconstruction. H Song, Y Yang Ultrasonics 121, 106672, 2022.

Found on Publication Page
74

Full-Field 3D Experimental Modal Analysis from Dynamic Point Clouds Measured Using a Time-of-Flight Imager. M Silva, A Green, J Morales, P Meyerhofer, Y Yang, E Figueiredo, ... Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 ..., 2022.

Found on Publication Page
73

Physics-constrained deep learning of nonlinear normal modes of spatiotemporal fluid flow dynamics. A Rostamijavanani, S Li, Y Yang Physics of Fluids 34 (12), 2022.

Found on Publication Page
72

Generation of selective single-mode guided waves by d36 type piezoelectric wafer. W Wang, Y Yang Applied Physics Letters 120 (21), 2022.

Found on Publication Page
71

3D structural vibration identification from dynamic point clouds. MF Silva, A Green, J Morales, P Meyerhofer, Y Yang, E Figueiredo, ... Mechanical Systems and Signal Processing 166, 108352, 2022.

Found on Publication Page
70

Super-sensitivity incoherent optical methods for full-field displacement measurements. S Li, Y Yang Optics Letters 47 (21), 5453-5456, 2022.

Found on Publication Page
69

Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast. P Xue, A Wagh, G Ma, Y Wang, Y Yang, T Liu, C Huang Remote Sensing 14 (11), 2640, 2022.

Found on Publication Page
68

Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: Analytics with compressive sensing and sparse component analysis. D Jana, S Nagarajaiah, Y Yang, S Li Journal of Civil Structural Health Monitoring, 1-19, 2022.

Found on Publication Page
In 2021
67

Full-field imaging learning machine (FILM). Y Yang US Patent 11,127,127, 2021.

Found on Publication Page
66

Blind identification of output-only systems and structural damage via sparse representations. S Nagarajaiah, Y Yang Encyclopedia of Earthquake Engineering, 1-20, 2021.

Found on Publication Page
65

Augmented reality for next generation infrastructure inspections. DDL Mascarenas, JAP Ballor, OL McClain, MA Mellor, CY Shen, B Bleck, ... Structural Health Monitoring 20 (4), 1957-1979, 2021.

Found on Publication Page
64

ASRE: Adaptive Spatial Resolution Wearable EEG. Y Yang, Y Sun 2021 IEEE Sensors, 1-4, 2021.

Found on Publication Page
63

Noncontact super-resolution guided wave array imaging of subwavelength defects using a multiscale deep learning approach. H Song, Y Yang Structural Health Monitoring 20 (4), 1904-1923, 2021.

Found on Publication Page
62

A recurrent neural network framework with an adaptive training strategy for long-time predictive modeling of nonlinear dynamical systems. S Li, Y Yang Journal of Sound and Vibration 506, 116167, 2021.

Found on Publication Page
61

Extracting full-field subpixel structural displacements from videos via deep learning. L Luan, J Zheng, ML Wang, Y Yang, P Rizzo, H Sun Journal of Sound and Vibration 505, 116142, 2021.

Found on Publication Page
60

A holistic cyber-physical security protocol for authenticating the provenance and integrity of structural health monitoring imagery data. HK Jung, A Green, J Morales, M Silva, B Martinez, A Cattaneo, Y Yang, ... Structural Health Monitoring 20 (4), 1657-1674, 2021.

Found on Publication Page
59

Hierarchical deep learning for data-driven identification of reduced-order models of nonlinear dynamical systems. S Li, Y Yang Nonlinear Dynamics 105 (4), 3409-3422, 2021.

Found on Publication Page
58

Data-driven identification of nonlinear normal modes via physics-integrated deep learning. S Li, Y Yang Nonlinear Dynamics 106 (4), 3231-3246, 2021.

Found on Publication Page
In 2020
57

Nonnegative matrix factorization-based blind source separation for full-field and high-resolution modal identification from video. M Silva, B Martinez, E Figueiredo, JCWA Costa, Y Yang, D Mascaren as Journal of Sound and Vibration 487, 115586, 2020.

Found on Publication Page
56

Imager-Based Techniques for Analyzing Metallic Melt Pools for Additive Manufacturing. C Hayes, C Schelle, G Taylor, B Martinez, G Kenyon, T Lienert, Y Yang, ... Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 ..., 2020.

Found on Publication Page
55

Full-Field Mode Shape Analysis, Alignment and Averaging Across Measurements. W Scott, M Adams, Y Yang, D Mascaren as Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 ..., 2020.

Found on Publication Page
54

Imager-Based Characterization of Viscoelastic Material Properties. H Brand, T Kauppila, K Wielgus, B Martinez, N Miller, T Tippetts, Y Yang, ... Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 37th IMAC ..., 2020.

Found on Publication Page
53

Sparse and random sampling techniques for high-resolution, full-field, BSS-based structural dynamics identification from video. B Martinez, A Green, MF Silva, Y Yang, D Mascaren as Sensors 20 (12), 3526, 2020.

Found on Publication Page
52

CNN-LSTM deep learning architecture for computer vision-based modal frequency detection. R Yang, SK Singh, M Tavakkoli, N Amiri, Y Yang, MA Karami, R Rai Mechanical Systems and signal processing 144, 106885, 2020.

Found on Publication Page
51

Super-resolution visualization of subwavelength defects via deep learning-enhanced ultrasonic beamforming: A proof-of-principle study. H Song, Y Yang NDT & E International 116, 102344, 2020.

Found on Publication Page
50

System and method for automated extraction of high resolution structural dynamics from video. Y Yang, G Kenyon, C Farrar, D Mascarenas US Patent 10,567,655, 2020.

Found on Publication Page
49

Affinity propagation clustering of full-field, high-spatial-dimensional measurements for robust output-only modal identification: A proof-of-concept study. Y Yang, C Dorn Journal of Sound and Vibration 483, 115473, 2020.

Found on Publication Page
48

Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements. Y Yang, C Dorn, C Farrar, D Mascaren as Engineering Structures 207, 110183, 2020.

Found on Publication Page
In 2019
47

YAP/TAZ related biomechano signal transduction and cancer metastasis. B Martinez, Y Yang, DMR Harker, C Farrar, H Mukundan, P Nath, ... Frontiers in Cell and Developmental Biology 7, 199, 2019.

Found on Publication Page
46

Full-Field Mode Shape Identification of Vibrating Structures from Compressively Sampled Video. B Martinez, Y Yang, A Liao, C Farrar, H Mukundan, P Nath, D Mascaren as Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 ..., 2019.

Found on Publication Page
45

Experimental Modal Analysis of Tumorigenesis and Cancer Metastasis. B Martinez, Y Yang, C Farrar, H Mukundan, P Nath, D Mascaren as Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 ..., 2019.

Found on Publication Page
44

Light field imaging of three-dimensional structural dynamics. B Chesebrough, S Dasari, A Green, Y Yang, CR Farrar, D Mascaren as Structural Health Monitoring, Photogrammetry & DIC, Volume 6: Proceedings of ..., 2019.

Found on Publication Page
43

Estimation of full field, full order experimental modal model of cable vibration from digital video measurements with physics guided unsupervised machine learning and computer .... Y Yang, L Sanchez, H Zhang, A Roeder, J Bowlan, J Crochet, C Farrar, ... Structural Control and Health Monitoring 26 (6), e2358, 2019.

Found on Publication Page
42

Estimation of full field dynamic strains from digital video measurements of output only beam structures by video motion processing and modal superposition. Y Yang, HK Jung, C Dorn, G Park, C Farrar, D Mascaren as Structural Control and Health Monitoring 26 (10), e2408, 2019.

Found on Publication Page
In 2018
41

Efficient full-field vibration measurements and operational modal analysis using neuromorphic event-based imaging. C Dorn, S Dasari, Y Yang, C Farrar, G Kenyon, P Welch, D Mascaren as Journal of Engineering Mechanics 144 (7), 04018054, 2018.

Found on Publication Page
40

Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures. Y Yang, C Dorn, T Mancini, Z Talken, J Theiler, G Kenyon, C Farrar, ... Structural Health Monitoring 17 (3), 514-531, 2018.

Found on Publication Page
39

Fractal dimension based damage identification incorporating multi-task sparse Bayesian learning. Y Huang, H Li, S Wu, Y Yang Smart Materials and Structures 27 (7), 075020, 2018.

Found on Publication Page
38

A framework for the identification of full-field structural dynamics using sequences of images in the presence of non-ideal operating conditions. S Dasari, C Dorn, Y Yang, A Larson, D Mascarenas Journal of Intelligent Material Systems and Structures 29 (17), 3456-3481, 2018.

Found on Publication Page
37

Augmented Reality Tools for Nuclear Facilities-18318. D Mascarenas, B Katko, B Bleck, A Green, S Dasari, H Gertsen, J Morales, ... WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (United States), 2018.

Found on Publication Page
36

Spatiotemporal video domain high fidelity simulation and realistic visualization of full field dynamic responses of structures by a combination of high spatial resolution modal .... Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascaren as Structural Control and Health Monitoring 25 (8), e2193, 2018.

Found on Publication Page
In 2017
35

Extraction of full-field structural dynamics from digital video measurements in presence of large rigid body motion. S Dasari, C Dorn, Y Yang, C Farrar, A Larson, D Mascaren as Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics ..., 2017.

Found on Publication Page
34

Efficient full-field operational modal analysis using neuromorphic event-based imaging. C Dorn, S Dasari, Y Yang, G Kenyon, P Welch, D Mascaren as Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics ..., 2017.

Found on Publication Page
33

. , , 29-31, 2017.

Found on Publication Page
32

Blind identification of high-resolution vibration modes of structures from video measurements only with phase based video motion magnification. Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascaren as Mechanical Systems and Signal Processing 85 (LA-UR-15-28509), 2017.

Found on Publication Page
31

Full-field structural dynamics by video motion manipulations. Y Yang, C Farrar, D Mascarenas International Digital Imaging Correlation Society: Proceedings of the First ..., 2017.

Found on Publication Page
30

Establishment of full-field, full-order dynamic model of cable vibration by video motion manipulations. L Sanchez, H Zhang, A Roeder, J Bowlan, J Crochet, Y Yang, C Farrar, ... Special Topics in Structural Dynamics, Volume 6: Proceedings of the 35th ..., 2017.

Found on Publication Page
29

Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements. Y Yang, C Dorn, T Mancini, Z Talken, S Nagarajaiah, G Kenyon, C Farrar, ... Journal of Sound and Vibration 390, 232-256, 2017.

Found on Publication Page
28

Robust data transmission and recovery of images by compressed sensing for structural health diagnosis. Y Yang, S Nagarajaiah Structural Control and Health Monitoring 24 (1), e1856, 2017.

Found on Publication Page
27

Full-field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements. Y Yang, P Sun, S Nagarajaiah, SM Bachilo, RB Weisman Journal of Sound and Vibration 399, 75-85, 2017.

Found on Publication Page
26

Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification. Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascaren as Mechanical Systems and Signal Processing 85, 567-590, 2017.

Found on Publication Page
25

Modeling and harnessing sparse and low rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring. S Nagarajaiah, Y Yang Structural Control and Health Monitoring 24 (1), e1851, 2017.

Found on Publication Page
24

Full-field imaging and modeling of structural dynamics with digital video cameras. Y Yang, C Dorn, CR Farrar, DDL Mascarenas 11th International Workshop on Structural Health Monitoring 2017: Real-Time ..., 2017.

Found on Publication Page
23

Identification of full-field dynamic loads on structures using computer vision and unsupervised machine learning. A Roeder, H Zhang, L Sanchez, Y Yang, C Farrar, D Mascaren as Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics ..., 2017.

Found on Publication Page
In 2016
22

Strain-sensing smart skin: A noncontact optical strain sensor using single-walled carbon nanotubes. S Nagarajaiah, RB Weisman, P Sun, SM Bachilo, Y Yang Innovative Developments of Advanced Multifunctional Nanocomposites in Civil ..., 2016.

Found on Publication Page
21

Automated extraction of mode shapes using motion magnified video and blind source separation. CJ Dorn, TD Mancini, ZR Talken, Y Yang, G Kenyon, C Farrar, ... Topics in Modal Analysis & Testing, Volume 10: Proceedings of the 34th IMAC ..., 2016.

Found on Publication Page
20

Real-time output-only identification of time-varying cable tension from accelerations via complexity pursuit. Y Yang, S Li, S Nagarajaiah, H Li, P Zhou Journal of Structural Engineering 142 (1), 04015083, 2016.

Found on Publication Page
19

Dynamic imaging: real-time detection of local structural damage with blind separation of low-rank background and sparse innovation. Y Yang, S Nagarajaiah Journal of Structural Engineering 142 (2), 04015144, 2016.

Found on Publication Page
18

Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure. Y Yang, S Nagarajaiah Mechanical Systems and Signal Processing 74, 165-182, 2016.

Found on Publication Page
17

Human in the Loop Design and Optimization for Resilient Infrastructure Networks. A Ulusan, O Ergun, C Harteveld, Y Kim, E Bondank, M Chester, C Dorn, ... .

Found on Publication Page
16

Robotic Research at the LANL Engineering Institute. DD Mascarenas, Y Yang, AW Green, EB Flynn, CR Farrar Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016.

Found on Publication Page
In 2015
15

Potential structural health monitoring tools to mitigate corruption in the construction industry associated with rapid urbanization. Y Yang, A Cattaneo, D Mascaren as Proc., Int. Conf. on Sustainable Development. New York: Columbia Univ, 2015.

Found on Publication Page
14

Output-only modal identification by compressed sensing: Non-uniform low-rate random sampling. Y Yang, S Nagarajaiah Mechanical Systems and Signal Processing 56, 15-34, 2015.

Found on Publication Page
13

Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis. S Nagarajaiah, Y Yang Smart Structures and Systems 15 (1), 81-97, 2015.

Found on Publication Page
12

Data compression of very large scale structural seismic and typhoon responses by low rank representation with matrix reshape. Y Yang, S Nagarajaiah, YQ Ni Structural Control and Health Monitoring 22 (8), 1119-1131, 2015.

Found on Publication Page
In 2014
11

Blind identification of damage in time-varying systems using independent component analysis with wavelet transform. Y Yang, S Nagarajaiah mechanical systems and signal processing 47 (1-2), 3-20, 2014.

Found on Publication Page
10

Structural damage identification via a combination of blind feature extraction and sparse representation classification. Y Yang, S Nagarajaiah Mechanical Systems and Signal Processing 45 (1), 1-23, 2014.

Found on Publication Page
9

Blind denoising of structural vibration responses with outliers via principal component pursuit. Y Yang, S Nagarajaiah Structural Control and Health Monitoring 21 (6), 962-978, 2014.

Found on Publication Page
8

Data compression of structural seismic responses via principled independent component analysis. Y Yang, S Nagarajaiah Journal of Structural Engineering 140 (7), 04014032, 2014.

Found on Publication Page
7

Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure. Y Yang Rice University, 2014.

Found on Publication Page
In 2013
6

Time-frequency blind source separation using independent component analysis for output-only modal identification of highly damped structures. Y Yang, S Nagarajaiah Journal of Structural Engineering 139 (10), 1780-1793, 2013.

Found on Publication Page
5

Output-only modal identification with limited sensors using sparse component analysis. Y Yang, S Nagarajaiah Journal of Sound and Vibration 332 (19), 4741-4765, 2013.

Found on Publication Page
4

Blind identification of modal parameters in time domain based on complexity pursuit. Y Yang, S Nagarajaiah Earthquake Eng. Struct. Dyn 42 (13), 1885-1905, 2013.

Found on Publication Page
3

Blind modal identification of output only structures in time domain based on complexity pursuit. Y Yang, S Nagarajaiah Earthquake Engineering & Structural Dynamics 42 (13), 1885-1905, 2013.

Found on Publication Page
Unspecified
2

AUTOMATED, OUTPUT-ONLY EXTRACTION OF FULL-FIELD, VERY HIGH SPATIAL RESOLUTION DYNAMIC PARAMETERS FROM VIDEOS OF OPERATING STRUCTURES. Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascaren as .

Found on Publication Page
1

OUTPUT-ONLY MODAL IDENTIFICATION AND DAMAGE DETECTION VIA BLIND SOURCE SEPARATION. S Nagarajaiah, YC Yang .

Found on Publication Page
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