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

*2019年11月18~23日，2019年中国先进技术转化应用大赛总决赛，江西南昌
*2019年11月9~12日，第十三届全国振动理论及应用学术会议，西安
*2019年10月25~28日，2019 Prognostics and System Health Management Conference (PHM-2019 Chongqing), Qingdao, China.
*2019年10月20~24日，Workshop in Machine Condition Monitoring, School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
*2019年10月9~12日，沈阳第18届国际制造会议（18th International Manufacturing Conference，IMCC 2019）
*2019年9月9日~11日，江西新余北2019年中国先进技术转化应用大赛半决赛(智能制造领域)
*2019年9月8日~9日，大连理工大学变革性技术研讨会
*2019年8月12日~14日，杭州2019中国工业互联网大会
*2019年7月5日～6日，2019 第九届质量科学与可靠性技术国际研讨会
*2019年7月4～5日，2019可靠性应用技术国际论坛，汽车工程协会，上海
*2019年6月25日～28日，The Fifth International Conference on the Interface between Statistics and Engineering, Seoul, South Korea
*2019年5月24日～26日，第一届机械工程赣江学术论坛会议，南昌
*2019年5日22日～月23日，北京交通大学轨道交通控制与安全国家重点实验室联合研讨会
*2019年5月3日～5月4日，Keynote Seminar on the Efficiency and Performance Engineering (CEPE) 2019 and the Launch of CEPE-CHINA
*2018年8月10日～8月12日，2018年全国设备监测诊断与维护会议
*2018年7月19日～7月21日，北京交通大学轨道交通控制与安全国家重点实验室联合研讨会
*2018年5月16日，香港城市大学和马来西亚Universiti Tunku Abdul Rahman联合研讨会
*2018年4月23日，上海交通大学机械与动力学院
*2018年4月8日～10日，苏州大学轨道与交通学院
*2018年3月20日至21日，Hong Kong International Convention and Exhibition Centre，2018 Asia Pacific Rail Conference
*2018年3月18日至19日，四川大学，建筑与环境学院
*2017年12月7日至12月9日, 北京交通大学轨道交通控制与安全国家重点实验室
*2017年11月30日至12月1日，Department of Industrial Engineering, Korea University
*2017年9月25日，Department of Mechatronics Engineering, University of Macau
*2017年3月19至20日，南方科技大学力学与航空系
*2016年9月27至28日，中国汽车工业协会第二届汽车可靠性技术研讨会
*2016年3月18至19日，南方科技大学机械与能源系
*2015年12月9日至10，Workshop in Risk, Reliability, and Data Science, Organized by City University of Hong Kong

*Prognostics and Health Management
*Condition Monitoring and Fault Diagnosis
*Data Mining and Deep Learning
*Statistical Modeling
*Signal Processing
*Non-destructive Testing (active thermography, ultrasonic guided waves, etc.) and Sensors

*State Specially Recruited Experts Project (4/2019~4/2022)，PI
*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

My research interests include prognostics and health management, condition monitoring and fault diagnosis, data mining, statistical modeling, deep learning, sensors and non-destructive testing. I have published over 70 SCI-indexed journal papers (the first author for over 40 journal papers). My research works mainly appear in Mechanical Systems and Signal Processing, Journal of Sound and Vibration, IEEE Transactions, ASME Transactions, Journal of Power Sources, Energy, etc. 11 papers were selected by Essential Science Indicators (ESI) in Engineering (Top 1%). According to Google Scholar, my papers are cited over 2000 times.

Selected Publications
[J1] Dong Wang, Kwok-Leung Tsui, Statistical modeling of bearing degradation signals, IEEE Transactions on Reliability, 66 (2017) 1331 - 1344.
[J2] 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.
[J3] 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.
[J4] 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.
[J5] 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.
[J6] 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.
[J7] 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.
[J8] 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.
[J9] 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.
[J10] Dong Wang, Jin-zhen Kong, Yang Zhao, Kwok-Leung Tsui, Battery Prognostics at Different Operating Conditions, Measurement, (2020), in press.

*Teaching @ SJTU
2019, Semester B, Service Management.
*Teaching @ CityU
2014, Semester B, JC4059, Advanced monitoring and inspection technology.
2014, Semester B, SEEM 6014, The use of advanced condition monitoring methods to determine bearing localized faults via the Smart Asset Maintenance System (SAMS).
2013, Semester A, SEEM 6102, Demonstration of Support Vector machines to artificial intelligence.
2013, Semester B, SEEM 504B-507B, Non-destructive methods for real products inspection.
2012, Semester B, MEEM 3044, Microprocessor Programming and Applications.
2012, Semester A, GE1319, PZT based ultrasonic sensor design.

*Deputy Director of SJTU-AIC Joint Research Center for Intelligent Operation and Maintenance
*A Member of Chinese Institute of Quality Research
*Associate editors and guest editors for several SCI-indexed journals
*Reviewers for numerous academic journals:
Mechanical Systems and Signal Processing
Journal of Sound and Vibration
Technometrics
IIE Transactions
IEEE Transactions on Signal Processing
IEEE Signal Processing Letters
IEEE Transactions on Reliability
IEEE Transactions on Industrial Electronics
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Vehicular Technology
IEEE Transactions on Industrial Informatics
IEEE/ASME Transactions on Mechatronics
IEEE Access
Measurement Science and Technology
Microelectronics Reliability
Reliability Engineering and System Safety
Measurement
Signal Processing
Journal of Vibration and Control
Structural Health Monitoring-An International Journal
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Communications in Statistics – Theory and Methods
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Journal of Power Sources
International Journal of Production Research
International Journal of Mechanical Sciences
Sensors
Digital Signal Processing
Journal of Intelligent Manufacturing
Knowledge-based systems
Neurocomputing
Powder Technology
Applied Energy
Applied Soft Computing
Neural Computing and Applications
International Journal of Acoustics and Vibration
International Journal of Electrical Power and Energy Systems
Computer Methods and Programs in Biomedicine
Journal of Low Frequency Noise Vibration and Active Control
Journal of Zhejiang University-SCIENCE A
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Nondestructive Testing and Evaluation
Annals of Nuclear Engineering
Aerospace Science and Technology
Chinese Journal of Aeronautics
Insight - Non-Destructive Testing & Condition Monitoring

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

Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients

Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals

Two novel mixed effects models for prognostics of rolling element bearings

Theoretical investigation of the upper and lower bounds of a generalized dimensionless bearing health indicator

Brownian motion with adaptive drift for remaining useful life prediction: Revisited

Statistical Modeling of Bearing Degradation Signals

Dynamic Bayesian wavelet transform: New methodology for extraction of repetitive transients

An Intelligent Prognostic System for Gear Performance Degradation Assessment and Remaining Useful Life Estimation

Battery Prognostics at Different Operating Conditions

A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings

Nonlinear-drifted Brownian motion with multiple hidden states for remaining useful life prediction of rechargeable batteries

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter

Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena

K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: Revisited

Some Improvements on a General Particle Filter Based Bayesian Approach for Extracting Bearing Fault Features

A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features