2012.01～2015.07, Ph.D. in Systems Engineering and Engineering Management, City University of Hong Kong
2007.09～2010.06, M.Phil. in Mechatronics Engineering, University of Electronic Science and Technology of China
2003.09～2007.07, Bachelor in Mechanical Design, Manufacturing and Automation, University of Electronic Science and Technology of China

2018.10～Now, Associate Professor, Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University
2018.07~2018.09, Research Fellow, School of Data Science, City University of Hong Kong
2018.04~2018.06, Research Fellow, Department of Systems Engineering and Management, City University of Hong Kong
2015.10~2018.03, Postdoctoral Fellow, Department of Systems Engineering and Management, City University of Hong Kong
2015.06~2015.09, Senior Research Assistant, Department of Systems Engineering and Management, City University of Hong Kong
2015.02~2015.06, Research Associate, Smart Engineering Asset Management Laboratory, City University of Hong Kong
2011.01~2011.07, Research Associate, Croucher Optical Nondestructive Testing & Quality Inspection laboratory, City University of Hong Kong
2010.07~2011.01 Research Assistant, Smart Engineering Asset Management Laboratory, City University of Hong Kong

*School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
*Department of Industrial Engineering, Hanyang University
*Department of Industrial Engineering, Korea University

*Sparse measures
*Signal Processing
*Intelligent operation and maintenance and big data analysis
*Prognostics and health management
*Condition monitoring and fault diagnosis
*Statistical learning, machine learning, data mining and deep learning
*Statistical process control
*Non destructive testing

*SJTU Global Strategic Partnership Fund (2019 SJTU-UNSW) (2020/1~2021/1), PI at SJTU
*Aerospace Intelligence Control Contract Project (12/2019~11/2020), PI
*State Specially Recruited Experts Project (4/2019~4/2022)，PI
*General Program of National Natural Science Foundation of China: Theoretical investigations on fault features and health indicators of rotating machinery at varying operating conditions (1/2020~12/2023)，PI
* Western Digital Contract Project (1/2019~now), PI
*Theme-based Research Scheme, Hong Kong: Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems (1/2016~12/2020, 40,840,000 HKD, Chair Professor Kwok L. Tsui is the principle investigator）, Participant
*General Research Fund (GRF), Hong Kong: Reliability and Degradation Modeling for Rechargeable Battery (1/2018~12/2020), Co-PI
*CityU Strategic Research Grant: Remaining Useful Life Modeling and Prediction of Rechargeable Batteries (9/2016~9/2017), Co-PI

Dr. Dong Wang' research interests include signal processing, instrumentation and measurement, prognostics and health management, statistical modeling, condition monitoring and fault diagnosis, data mining and machine learning, and nondestructive testing (active thermography, ultrasonic guided waves, etc). Dr. Dong Wang has published more than 70 journal papers (the first author for over 40 journal papers). His works mainly appear in Mechanical Systems and Signal Processing, IEEE Transactions, ASME Transactions, etc., and has been cited over 2800 times.

Recent works
[J1]A multilayer neural network for machine health monitoring is constructed, and each hidden layer and each node have clear physical meaning.
Dong Wang, et al., Fully Interpretable Neural Networks for Machine Health Monitoring, submitted.
[J2]A new class of sparse measures are constructed from kurtosis and entropy, and it has been proven that they satisfy all properties of sparse measures.
Dong Wang, et al. Box-Cox Sparse Measures: A New Family of Sparse Measures Constructed from Kurtosis and Negative Entropy, to be submitted.
[J3]Several new theories of correlation dimension and approximate entropy in the field of machine health monitoring have been proven to support previous experimental results.
Dong Wang, et al. Correlation Dimension and Approximate Entropy for Machine Health Monitoring: Revisited, submitted.
[J4] A nonparametric health index with its associated statistical threshold is constructed, and it was found that an estimated parameter can be used to assess system degradation.
Dong Wang, et al. A Nonparametric Health Index and Its Statistical Threshold for System Health Monitoring, submitted.

Selected Publications
*Dong Wang, Zhike Peng, Lifeng Xi, The Sum of Weighted Normalized Square Envelope: A Unified Framework for Kurtosis, Negative Entropy, Gini Index and Smoothness Index for Machine Health Monitoring, Mechanical Systems and Signal Processing, 140 (2020), 106725. https://doi.org/10.1016/j.ymssp.2020.106725
*Dong Wang, Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals, Mechanical Systems and Signal Processing, 104 (2018) 290-293. https://doi.org/10.1016/j.ymssp.2017.11.013
*Dong Wang, Kwok-Leung Tsui, Statistical modeling of bearing degradation signals, IEEE Transactions on Reliability, 66 (2017) 1331 - 1344. https://doi.org/10.1109/TR.2017.2739126
*Dong Wang, Kwok-Leung Tsui, Brownian motion with adaptive drift for remaining useful life prediction: revisited, Mechanical Systems and Signal Processing, 99 (2018) 691-701. https://doi.org/10.1016/j.ymssp.2017.07.015
*Dong Wang, Zhike Peng, Lifeng Xi, Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring, IEEE Transactions on Automation Science and Engineering (2020).
*Dong Wang, Kwok-Leung Tsui, Dynamic Bayesian Wavelet Transform: New Methodology for Extraction of Repetitive Transients, Mechanical Systems and Signal Processing, 88 (2017) 137-144. https://doi.org/10.1016/j.ymssp.2016.11.003
*Dong Wang, Kwok-Leung Tsui, Two novel mixed effects models for prognostics of rolling element bearings, Mechanical Systems and Signal Processing, 99 (2018) 1-13. https://doi.org/10.1016/j.ymssp.2017.06.004
*Dong Wang, Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients, Mechanical Systems and Signal Processing, 108C (2018) pp. 360-368. https://doi.org/10.1016/j.ymssp.2018.02.034
*Dong Wang, Kwok-Leung Tsui, Theoretical investigation of the upper and lower bounds of a generalized dimensionless bearing health indicator, Mechanical Systems and Signal Processing, 98C (2018) 890-901. https://doi.org/10.1016/j.ymssp.2017.05.040
*Dong Wang, Jin-zhen Kong, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui, Battery Prognostics at Different Operating Conditions, Measurement, 151 (2020) 107182. https://doi.org/10.1016/j.measurement.2019.107182
*Dong Wang, Qiang Miao, Qinghua Zhou, Guangwu Zhou, An intelligent prognostic system for gear performance degradation assessment and remaining useful life estimation, Journal of Vibration and Acoustics-Transactions of The ASME, 137 (2015) 021004.
*Dong Wang, Xuejun Zhao, Lin-Lin Kou, Yong Qin, Yang Zhao, Kwok-Leung Tsui, A simple and fast guideline for generating squared envelope spectra from spectral coherence for bearing fault diagnosis, Mechanical Systems and Signal Processing, 122 (2019) 754-768.
*Dong Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Zhou, Suk Joo Bae, Remaining useful life prediction of lithium-ion batteries based on spherical cubature particle filter, IEEE Transactions on Instrumentation and Measurement, 65 (2016) 1282-1291.
*Dong Wang, Yang Zhao, Fangfang Yang, Kwok-Leung Tsui, Nonlinear-Drifted Brownian Motion with Multiple Hidden States and Its Application to Prognostics of Lithium-ion Batteries, Mechanical Systems and Signal Processing, 93 (2017) 531-544.
*Dong Wang, Peter W. Tse, Prognostics of oil sand pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method, Mechanical Systems and Signal Processing, 56-57 (2015) 213-229.
*Dong Wang, Peter W. Tse, Kwok Leung Tsui, An enhanced Kurtogram method for fault diagnosis of rolling element bearings, Mechanical Systems and Signal Processing, 35 (2013) 176-199.
*Dong Wang, Peter W. Tse, A general sequential Monte Carlo method based optimal wavelet filter: a Bayesian approach for extracting bearing fault features, Mechanical Systems and Signal Processing, 52-53, (2015) 293-308.
*Dong Wang, Qiang Miao, Some Improvements on A General Particle Filter based Bayesian Approach for Extracting Bearing Fault Features, Journal of Vibration and Acoustics-Transactions of The ASME, 137 (4) 041016.
*Dong Wang, Qiang Miao, Smoothness index-guided Bayesian inference for determining joint posterior probability distributions of anti-symmetric real Laplace wavelet parameters for identification of different bearing faults, Journal of Sound and Vibration, 345 (2015) pp.250-266.
*Dong Wang, Kwok-Leung Tsui, Qiang Zhou, Novel Gauss-Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis, Mechanical Systems and Signal Processing, 72-73 (2016) 80-91.
*Dong Wang, An extension of the Infograms to novel Bayesian inference for bearing fault feature extraction, Mechanical Systems and Signal Processing, 80 (2016) 19-30.
*Dong Wang, Yang Zhao, Cai Yi, Kwok-Leung Tsui, Jianhui Lin, Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings, Mechanical Systems and Signal Processing, 101C (2018) pp. 292-308.
*Dong Wang, Qiang Miao, Rui Kang, Robust health evaluation of gearbox subject to tooth failure with wavelet decomposition, Journal of Sound and Vibration, 324 (2009) 1141-1157.
*Dong Wang, Peter W. Tse, Wei Guo, Qiang Miao, Support vector data description for fusion of multiple health indicators for enhancing gearbox fault diagnosis and prognosis, Measurement Science and Technology, 22 (2011) 025102.
*Dong Wang, Peter W. Tse, Yiu L. Tse, A morphogram with the optimal selection of parameters used in morphological analysis for enhancing the ability in bearing fault diagnosis, Measurement Science and Technology, 23 (2012) 065001.
*Dong Wang, Peter W. Tse, A new blind fault component separation algorithm for a single-channel mechanical signal mixture, Journal of Sound and Vibration, 331 (2012) 4956-4970.
*Dong Wang, Qiang Miao, Michael Pecht, Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model, Journal of Power Sources, 239 (2013) 253-264.
*Dong Wang, Wei Guo, Xiaojuan Wang, A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture, Applied Soft Computing, 13 (2013) 4097-4104.
*Peter W. Tse, Dong Wang, The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement – Parts 1 and 2”, Mechanical Systems and Signal Processing, 40 (2013) 499-519.
*Peter W. Tse, Dong Wang, The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection: Part 2 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement—Parts 1 and 2”, Mechanical Systems and Signal Processing, 40 (2013) 520-544.
*Dong Wang, Changqing Shen, Peter W. Tse, A novel adaptive wavelet stripping algorithm for extracting the transients caused by bearing localized faults, Journal of Sound and Vibration, 332 (2013) 6871-6890.
*Dong Wang, Wei Guo, Peter W. Tse, An enhanced empirical mode decomposition method for adaptive blind component separation of a single-channel vibration signal mixture, Journal of Vibration and Control, 22 (2016) 2603-2618.
*Dong Wang, Changqing Shen, An equivalent cyclic energy indicator for bearing performance degradation assessment, Journal of Vibration and Control, 22 (2016) 2380-2388.
*Dong Wang, K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: revisited, Mechanical Systems and Signal Processing, 70-71 (2016) 201-208.
*Dong Wang, Kwok-Leung Tsui, Yong Qin, Optimization of segmentation fragments in empirical wavelet transform and its applications to extracting industrial bearing fault features, Measurement, 133 (2019) 328-340.
*Dong Wang, Jin-zhen Kong, Yang Zhao, Kwok-Leung Tsui, Piecewise Model Based Intelligent Prognostics for State of Health Prediction of Rechargeable Batteries with Capacity Regeneration Phenomena, Measurement, 147 (2019) 106836.
*Dong Wang, Qiang Zhou, Kwok-Leung Tsui, On the distribution of the modulus of Gabor wavelet coefficients and the upper bound of the dimensionless smoothness index in the case of additive Gaussian noises: revisited, Journal of Sound and Vibration, 395 (2017) 393-400.
*Dong Wang, Changqing Shen, An equivalent cyclic energy indicator for bearing performance degradation assessment, Journal of Vibration and Control, 22 (2016) 2380-2388.
*Dong Wang, Wei Guo, Xiaojuan Wang, A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture, Applied Soft Computing, 13 (2013) 4097-4104.
*Dong Wang, Wei Guo, Extraction of sparse equalized signals in recovery of potential cyclic impulses from a multi-fault signal mixture, Journal of Vibration and Control, 20 (2014) 1735-1750.
*Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui, Remaining useful life prediction of lithium-ion batteries at different discharge current rates, Microelectronics Reliability, 78 (2017) 212-219.
*Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui, Prognostics of Lithium-ion Batteries Based on State Space Modeling with Heterogeneous Noise Variances, Microelectronics Reliability, 75 (2017) 1-8.
*Dong Wang, Kwok-Leung Tsui, Qiang Miao, Prognostics and health management: a review of bearing and gear health indicators, IEEE Access, 6 (2018) 665-676.
*Fangfang Yang, Dong Wang, Yinjiao Xing, Kwok-Leung Tsui, Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model, Microelectronics Reliability, 70 (2017) 70-78.
*Qiang Miao, Dong Wang, and Hong-Zhong Huang, Identification of characteristic components in frequency domain from signal singularities, Review of Scientific Instruments, 81 (2010) 035113.
*Fangfang Yang, Dong Wang, Yang Zhao, Kwok-Leung Tsui, Suk Joo Bae, A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries, Energy, 145 (2018) 486-495.
*Changqing Shen, Dong Wang, Fanrang Kong, Peter W. Tse, Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier, Measurement, 46 (2013) 1551-1564.
*Xiang Wan, Dong Wang, Peter W. Tse, Guanghua Xu, Qing Zhang, A critical study of dimensionality reduction methods for gear crack degradation assessment under different operating conditions, Measurement, 78 (2016) 138-150.
*Jingjing Zhong, Peter W. Tse, Dong Wang, Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification, Neurocomputing, 211 (2016) 159-171.
*F Xu, Z Huang, fangfang Yang, D Wang, KL Tsui, Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion, Applied Soft Computing, 89 (2020) 106119.
*Y Xiong, Z Peng, C Gu, SL Li, D Wang, WM Zhang, Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing, IEEE Transactions on Instrumentation and Measurement, (2020), in press.
*Xinya Wu, Zhike Peng, Jishun Ren, Changming Cheng, Wenming Zhang, Dong Wang, Rub-impact Fault Diagnosis of Rotating Machinery Based on 1-D Convolutional Neural Networks, IEEE Sensors Journal, in press.
*Khandaker Noman, Qingbo He, Zhi-Ke Peng, Dong Wang, A scale independent flexible bearing health monitoring index based on time frequency manifold energy & entropy, Measurement Science and Technology, 2020, in press.
*X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu, Multi-scale Deep Intra-class Transfer Learning for Bearing Fault Diagnosis, Reliability Engineering and System Safety, 2020 accepted.
*Fangfang Yang, Dong Wang, Fan Xu, Zhelin Huang, Kwok Leung Tsui, Lifespan Prediction of Lithium-ion Batteries based on Various Extracted Features and Gradient Boosting Regression Tree Model, Journal of Power Sources, 2020, to appear.

*Teaching @ SJTU
2020, Semester B, Service Management.
2019, Semester B, Service Management.

*Associate Editor, IEEE Transactions on Instrumentation and Measurement
*Editorial Board Member, Mechanical Systems and Signal Processing
*Member,The State Key Laboratory of Mechanical Systems and Vibration
*Deputy Secretary General, Chinese Society for Vibration Engineering
*Member, Chinese Institute of Quality Research
*Reviewers for numerous academic journals

*State Specially Recruited Experts (Youth)
*Elsevier, IEEE, IOP Outstanding Reviewer Awards
*Hong Kong PhD Fellowship Scheme
*National Second Class Athletes （100 meter dash）