Professor in State Key Lab of Structural Analysis for Industrial Equipment and Department of Engineering Mechanics.  Ph.D. in Structural Engineering from The Ohio State University and Post-doctor from Vanderbilt University. Prior to joining DLUT, I had been a Senior Engineer, Technical Leader, Senior Manager in the global Monitoring and Diagnostics (M&D) Center of Energy Service division at General Electric Company in US, leading thermal performance monitoring, analytics, diagnostics, and prognostics of combined cycle power plants, as well as pilot applications of Predix and Energy IoT in China customers and Qatar LNG plant,  and a Senior Manager in AI analytics at Mohawk Industries in US, leading the successful development and deployment of intelligent monitoring system for carpet manufacturing.  In March 2019 I joined the ENN group in China as a AI VP of Digital Energy Ltd Co and a Director of Digital Research Institute, leading the Incorporate digitalization and development of AI analytics for energy IoT. In October 2019 I joined the Dalian University of Technology (DLUT) and founded the Digital Twin Lab and DLUT-Shanghai Electric Joint AI Research Center. My technical background, publications, and research interests are in the diverse areas of condition based monitoring, diagnostics, AI analytics, prognostics, predictive maintenance, risk and reliability analysis, performance monitoring, Energy IoT, and model validation for engineering systems under uncertainties. I have co-authored 1 book, 5 book chapters, and nearly 100 research articles in the cross-disciplinary fields of computer science, engineering, AI, and applied statistics (3000+ citations). I have been ranked as one of top 30 global most-cited Chinese scholars by Elsevier China Science & Technology from 2014-2018 in Mechanical Engineering field.  Also I have received multiple awards in the past few years, such as patent awards, Liaoning talent award, and SAE Arch T. Colwell Merit award. I have been invited to serve as a peer reviewer, editorial board, or associate editor for more than 40 different international journals and conferences. I am the editoral committee member of three international journals and a registered professional engineer in the state of Ohio at USA.

Please email your resume to me if you are interested in joining my research group as a graduate student or post-doctor (international students are very welcome).

Research Interests

 1. Energy IoT (Power Plants, LNG，Renewable)：IoT Technology, Intelligent Sensors, Edge Computing, Remote Monitoring, Predictive Maintenance

 2. Smart Turbomachinery (Gas Turbines, Steam Turbines, Compressors, Wind Turbine, etc.)：Monitoring & Diagnostics, Prognostics, Predictive Maintenance, Performance Modeling, Digital Twin

 3. Predictive Analytics：Wavelet Signal Processing, Machine Learning, Neural Network, Bayesian Inference, Deep Learning, Joint Learning

 4. Probabilistic Modeling：Model Validation under Uncertainties, Bayesian Net, Equation Modeling, Reliability & Risk Analysis, Big Data Analysis

Patents

1. System and method for hybrid risk modeling of turbomachinery, US8712739. US, JP, DE, FR.

2. Method and system for monitoring a gas turbine, US8370046, CN102155301. US, DE, CH, JP, CN.

3. Fault prediction of monitored assets, US8825567, US.

4. System and method for enhancing lean blowout monitoring, US10047679. US.

5. System and method to enhance corrosion turbine monitoring,US10294869B. 15/182359, US.

6. System and method for Issue Detection of Industrial Processes, US10401847B2,15/376149, US, EP, WO, CN.

Book/Chapters

1. Adeli, H. and Jiang, X. Intelligent Infrastructure – Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures, CRC Press, Taylor & Francis, October 2008 (ISBN: 978-1420085365).

2. Jiang, X., Cheng, X., and Yuan, Y., Validation using Bayesian Method, in Computer Simulation Validation - Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, ed.: Claus Beisbart & Nicole J. Saam, Springer, 2018.

3. Jiang, X., Yuan, Y., and Liu X., Performance-based Predictive Maintenance of Shield Tunnels, in Life-Cycle of Structural Systems – Design, Assessment, Maintenance and Management, ed.: Hitoshi Furuta, Dan Frangopol and Mitsuyoshi Akiyama, CRC Press, Taylor & Francis, October 2014 pp. 1007-1016 (ISBN: 978-1-138-00120-6).

4. Jiang, X. and Mahadevan, S., Intelligent Computational Approaches to Signal Processing and Damage Detection, in Earthquakes and Health Monitoring of Civil Structures, ed.: Garevski, M., Springer, December 2012 (ISBN: 978-9400751811).

5. Adeli, H. and Jiang, X., Smart Tall Building Structures: New Concepts for Active and Semi-Active Vibration Control and Health Monitoring of Structures, in Tall Buildings: Design Advances for Construction, ed.: Bull, J.W., Saxe-Coburg Publications, Stirlingshire, UK, 2012 (ISBN: 978-1874672258).

6.  Mahadevan, S., Jiang, X., and Guratzsch, R.F., Probabilistic Approaches to Sensor Layout Design, Data Processing, and Damage Detection, in Encyclopedia on Structural Health Monitoring, ed.: Chang, F.K. and Boller, C., John Wiley & Sons, January 2009 (ISBN: 978-0470058220).

Technical Articles

Google Scholar: 3000+ citations, h-factor = 24, i10-factor = 34

SCI citations: 1500+

*corresponding author

Yang, S., Jiang, X. ^*, Xu, S., and Wang, X., “Information Theory Based Probabilistic Approach to Blade Damage Detection of Turbomachine using Sensor Data”, IEEE Transactions on Industrial Electronics 2019，in press.

Yan, B. Chen, W., Yu, J. and Jiang, X., “Mode Shape-Aided Tension Forces Estimation of Cable with Arbitrary Boundary Conditions.” Journal of Sound and Vibration 2019, DOI: 10.1016/j.jsv.2018.10.018

Yang, S., Jiang, X. ^*, Xu, S., and Wang, X., “Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction.” International Journal of Prognostics and Health Management 2018, 9(1): 1-19.

Guang, X., Jiang, X.^*, Cheng, X., and Yuan, Y. “Integrated Bayesian Probabilistic Approach to Improve Predictive Modeling”, International Journal of Reliability and Safety, 2017, 11(3-4):153-181. DOI: 10.1504/IJRS.2017.089702.

You, D., Liu D., Jiang, X. ^*, Cheng, X. and Wang, X., “Temperature Uncertainty Analysis of Injection Mechanism Based on Kriging Modeling”. Materials 2017, 10(11):1319-1333, DOI: 10.3390/ma10111319.

You, D., Wang, X., Cheng, X., and Jiang, X., “Friction modeling and analysis of injection process in squeeze casting”, Journal of Materials Processing Technology, 2017, 239(1): 42-51. DOI: 10.1016/j.jmatprotec.2016.08.011.

You, D., Jiang, X. ^*, and Cheng, X., “Bayesian Kriging Modeling for Spatiotemporal Prediction in Squeeze Casting”, International Journal of Advanced Manufacturing Technology 2017, 89(1-4): 355-369. DOI: 10.1007/s00170-016-9078-2.

Jiang, X. ^*, Mahadevan, S., and Yuan, Y., “Fuzzy Stochastic Neural Network for Structural System Identification using Ambient Data.” Mechanical Systems and Signal Processing 2017, 82(1): 394-411. DOI: 10.1016/j.ymssp.2016.05.030.

Jiang, X. ^*, Yuan, Y., and Ai, Q., “Probabilistic Lifing Analysis for Concrete Spalling in Tunnel Structures.” ASCE Journal of Risk and Uncertainty Analysis, 2017, 3(4): 04017011 DOI:10.1061/AJRUA6.0000912.

Ai, Q., Yuan, Y.; Mahadevan, S., and Jiang, X., “Maintenance Strategies Optimization of Metro Tunnels in Soft Soil", Structure and Infrastructure Engineering 2017, 13(8), 1093-1103.  DOI: 10.1080/15732479.2016.1243564.

Xu, S., Jiang, X. ^*, Wang, X., and Yang S., “Bayesian Wavelet Analysis for Damage Diagnostics of Turbomachinery.” Mechanical Systems and Signal Processing 2016, 80(1):1-18.  DOI: 10.1016/j.ymssp.2016.04.031.

Ai, Q., Yuan, Y.; Mahadevan, S., Jiang, X., “Probabilistic Degradation Modeling of Circular Tunnels Assembled from Segmental Lining." Structure Concrete 2016, 17(2): 257-273. DOI:10.1002/suco.201400122.

Jiang, X. ^*, Lin, T-P, and Mendoza, E. “Bayesian Calibration for Power Splitting in Single Shaft Combined Cycle Plant Diagnostics.” ASME Journal of Engineering for Gas Turbines and Power. 2015, 138(5):051702-051702-9. DOI: 10.1115/1.4031564.

 Xu, S., Liu, H., Wang, X., Jiang, X., “A Robust Error-pursuing Sequential Sampling Approach for Global Metamodeling based on Voronoi Diagram and Cross Validation.” Journal of Mechanical Design 2014, 136(7), 071009-071009-10. DOI: 10.1115/1.4027161.

Jiang, X. ^*, Yuan, Y., and Liu, X., “Multivariate Probabilistic Modeling for Reliability Assessment of Seepage Behavior in Tunnel Segments.” International Journal of Reliability and Safety. 2014, 8(2-4):228-249. DOI: 10.1504/IJRS.2014.069507.

Yuan, Y., Jiang, ^* X., and Liu, X., “Predictive Maintenance of Shield Tunnels.” Tunneling and Underground Space Technology 2013, 38(9): 69-86. DOI: 10.1016/j.tust.2013.05.004.

Jiang, X. ^*, Yuan, Y. and Liu, X., “Bayesian Inference Method for Stochastic Damage Accumulation Modeling.” Reliability Engineering and System Safety 2013, 111(3): 126-138. DOI: 10.1016/j.ress.2012.11.006.

 Jiang, X. ^*, Yuan, Y., Mahadevan, S. and Liu, X., “An Investigation of Bayesian Inference Approach to Model Validation with Non-normal Data.” Journal of Statistical Computation and Simulation 2013, 83(10): 1829-1851. DOI: 10.1080/00949655.2012.672572.

Jiang, X. ^* and Mahadevan, S., “Wavelet Coherence Analysis for Model Validation of Dynamic Systems.” Mechanical Systems and Signal Processing, 2011, 25(2): 575-590. DOI: 10.1016/j.ymssp.2010.05.012.

Jiang, X. ^*, “Recent Development of Damage Diagnosis and Prognosis in Engineering Systems.” Recent Patents in Engineering, 2010, 4(2): 1-20. DOI: 10.2174/187221210791233434.

Jiang, X. ^*, Mahadevan, S. and Urbina, A., “Bayesian Nonlinear Structural Equation Modeling for Hierarchical Validation of Dynamical Systems.” Mechanical Systems and Signal Processing 2010, 24(4): 957-975. DOI: 10.1016/j.ymssp.2009.10.002.

Jiang, X. ^*, Yang, R-J, Barbat, S., and Weerappuli, P., “Bayesian Probabilistic PCA Approach for Model Validation of Dynamic Systems.” SAE International Journal of Materials and Manufacturing 2009, 2(1): 555-563. DOI: 10.4271/2009-01-1404.

Jiang, X. ^*, Mahadevan, S., and Guratzsch R., “Bayesian Wavelet Methodology for Damage Detection of Thermal Protection System Panels.” AIAA Journal 2009, 47(4): 942-952. DOI: 10.2514/1.38503.

Jiang, X. ^* and Mahadevan, S., “Bayesian Hierarchical Uncertainty Quantification by Structural Equation Modeling.” International Journal for Numerical Methods in Engineering 2009, 80(6): 717-737. DOI: 10.1002/nme.2550.

Jiang, X. ^* and Mahadevan, S., “Bayesian Inference Method for Model Validation and Confidence Extrapolation.” Journal of Applied Statistics 2009, 36(6): 659 - 677. DOI: 10.1080/02664760802499295.

Jiang, X. ^* and Mahadevan, S., “Bayesian Structural Equation Modeling Method for Hierarchical Model Validation.” Reliability Engineering and System Safety 2009, 94(4): 796-809. DOI: 10.1016/j.ress.2008.08.008.

Jiang, X. ^* and Mahadevan, S., “Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures.” ASCE Journal of Engineering Mechanics 2008, 134(10): 820-831. DOI: 10.1061/(ASCE)0733-9399(2008)134:10(820).

Jiang, X. and Adeli, H. “Discussion on ‘A Wavelet Network Model for Short-Term Traffic Volume Forecasting’ by Yuanchang Xie and Yunlong Zhang.” Journal of Intelligent Transportation Systems.2008, 12(3): 97-98.

Jiang, X. ^* and Mahadevan, S., “Bayesian Wavelet Methodology for Structural Damage Detection.” Structural Control and Health Monitoring 2008, 15(7): 974-991. DOI: 10.1002/stc.230.

Jiang, X. ^* and Adeli, H., “Neuro-Genetic Algorithm for Active Nonlinear Control of Structures.” International Journal for Numerical Methods in Engineering 2008, 75(7): 770-786. DOI: 10.1002/nme.2274.

Jiang, X. and Adeli, H., “Dynamic Fuzzy Wavelet Neuroemulator for Active Nonlinear Control of Structures.” International Journal for Numerical Methods in Engineering 2008, 74(7): 1045-1066. DOI: 10.1002/nme.2195.

Jiang, X. ^* and Mahadevan, S., “Bayesian Wavelet Method for Multivariate Model Assessment of Dynamical Systems.” Journal of Sound and Vibration 2008, 312(4-5): 694-712. DOI: 10.1016/j.jsv.2007.11.025.

Jiang, X. ^* and Mahadevan, S., “Bayesian Validation Assessment of Multivariate Computational Models.” Journal of Applied Statistics 2008, 35(1): 49-65. DOI: 10.1080/02664760701683577.

Jiang, X. and Adeli, H., “Psuedospectra, MUSIC, and Dynamic Wavelet Neural Network for Damage Detection of High-rise Buildings.” International Journal for Numerical Methods in Engineering 2007, 71(5): 606–629. DOI:10.1002/nme.1964.

Jiang, X. ^*, Mahadevan, S., and Adeli, H., “Bayesian Wavelet Packet Denoising for Structural System Identification.” Structural Control and Health Monitoring 2007, 14(2): 333–356. DOI: 10.1002/stc.161.

Jiang, X. ^* and Mahadevan, S., “Bayesian Risk-based Decision Method for Model Validation under Uncertainty.” Reliability Engineering and System Safety 2007, 92(6): 707–718. DOI: 10.1016/j.ress.2006.03.006.

Jiang, X. ^* and Mahadevan, S., “Bayesian Cross Entropy Approach for Optimal Design of Validation Experiments.” Journal of Measurement Science and Technology 2006, 17(7): 1895–1908. DOI: 10.1088/0957-0233/17/7/031.

Adeli, H. and Jiang, X., “Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification.” ASCE Journal of Structural Engineering 2006, 132(1): 102–111. DOI: 10.1061/(ASCE)0733-9445(2006)132:1(102).

Jiang, X. and Adeli, H., “Dynamic Wavelet Neural Network for Nonlinear System Identification of High-rise Buildings.” Computer-Aided Civil and Infrastructure Engineering 2005, 20(5): 316–330. DOI: 10.1111/j.1467-8667.2005.00399.x.

Jiang, X. and Adeli, H. “Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting.” ASCE Journal of Transportation Engineering 2005, 131(10): 771–779. DOI: 10.1061/(ASCE)0733-947X(2005)131:10(771).

Jiang, X. and Adeli, H., “Clustering-Neural Network Models for Freeway Work Zone Capacity Estimation.” International Journal of Neural Systems 2004, 14(3): 147–163. DOI: 10.1142/S0129065704001954.

Jiang, X. and Adeli, H., “Wavelet Packets-Autocorrelation Function Analysis of Traffic Flow.” Computer-Aided Civil and Infrastructure Engineering 2004, 19(5): 324–337. DOI: 10.1111/j.1467-8667.2004.00360.x.

Jiang, X. and Adeli, H., “Object-Oriented Model for Freeway Work Zone Capacity and Queue Delay Estimation.” Computer-Aided Civil and Infrastructure Engineering 2004, 19(2): 144–156. DOI: 10.1111/j.1467-8667.2004.00344.x.

Adeli, H. and Jiang, X., “Neuro-Fuzzy Logic Model for Freeway Work Zone Capacity Estimation.” ASCE Journal of Transportation Engineering 2003, 129(5): 484–493. DOI: 10.1061/(ASCE)0733-947X(2003)129:5(484).

Jiang, X. and Adeli, H., “Freeway Work Zone Traffic Delay and Cost Optimization Model.” ASCE Journal of Transportation Engineering 2003, 129(3): 230–241. DOI: 10.1061/(ASCE)0733-947X(2003)129:3(230).

Jiang, X. and Adeli, H., “Fuzzy Clustering Approach for Accurate Embedding Dimension Identification in Chaotic Time Series.” Integrated Computer-Aided Engineering 2003, 10(3): 287–302.

Jiang, X. ^*, Chen, H., and Liew, J. Y. R., “Spread-of-Plasticity Analysis of Three-dimensional Steel Frames.” Journal of Constructional Steel Research 2002, 58(2): 193–212. DOI: 10.1016/S0143-974X(01)00041-4.

Yuan, Y., Jiang, X. ^*, and Lee, C. F., “Tunnel Waterproof Practices in China.” Tunneling and Underground Space Technology 2000, 15(2): 227–233. DOI: 10.1016/S0886-7798(00)00048-1.

International Conferences

Jiang, X., Yu L., and Miller, K. “Probabilistic Wavelet Method for Intelligent Prediction of Turbomachinery Damage.” Annual Conference of PHM Society 2017, Petersburg, Florida, Oct 2 – 5, 2017.

Jiang, X., Lin, T-P, and Mendoza, E. “Enhanced Plant Performance Degradation Prediction with GIS Data.” Annual Conference of PHM Society 2016, Denver, Colorado, Oct 2 – 8, 2016.

Jiang, X. “DPDA Application in Predix Ecosystem for Real-time Monitoring and Diagnostics of Energy Assets.” SAMSI Workshop on Distributed and Parallel Data Analysis (DPDA) 2016, North Carolina State University, Raleigh, NC, Sep 21 – 23, 2016 (invited presentation).

Jiang, X., Lin, T-P, and Mendoza, E. “Bayesian Calibration for Power Splitting in Single Shaft Combined Cycle Plant Diagnostics.” ASME Turbo Expo 2015, Montreal, Canada, Jun 15 – 19, 2015.

Mendoza, E., Jiang, X. and Lin, T-P. “Reduction of Gas Turbine Exhaust Temperature Limit Due to HRSG Limitations by Change on Control Curve to Optimize Plant Operation and Performance.” ASME Turbo Expo 2015, Montreal, Canada, Jun 15 – 19, 2015.

Jiang, X., Yuan, Y. and Ai, Q. “Performance-based Predictive Maintenance of Shield Tunnels.” International Symposium on Life-Cycle Civil Engineering (IALCCE2014), Tokyo, Japan, Nov 16– 19, 2014.

Jiang, X., Yuan, Y. and Ai, Q. “Predictive Lifing Analytics for Tunnel Structures.” International Conference on Service Life Design for Infrastructures (SLD2014), Zhuhai, China, Oct 15– 17, 2014.

Jiang, X. and Foster C. “Plant Performance Monitoring and Diagnostics: Remote, Automated, and Real-time.” ASME Turbo Expo 2014, Düsseldorf, Germany, Jun 16 – 20, 2014.

Jiang, X. and Foster C. “Remote Thermal Performance Monitoring: Turning Data to Solution.” ASME Power Conference 2013, Boston, Massachusetts, Jul 29 – Aug 1, 2013.

Jiang, X., “Bayesian Approach to Stochastic Modeling of Tunnel Seepage Accumulation.” 3rd International Symposium on Computational Mechanics (ISCM III-CSE II), Taipei, Taiwan, Dec 5 – 7, 2011 (Abstract/Proceedings).

Jiang, X., “Next Generation CBM/PHM: Integrated Computational Intelligence and Analytics.” 3^rd Annual PHM Conference at GE GRC, Niskayuna, NY, Jun 30 – Jul 1, 2009 (Oral presentation).

Jiang, X., Yang, R-J, Barbat, S., and Weerappuli, P., “Bayesian Probabilistic PCA Approach for Model Validation of Dynamic Systems.” Society of Automotive Engineers (SAE) World Conference, Detroit, Michigan, USA, Apr 20–23, 2009 (Presentation and paper published in SAE Journal).

Fu, Y., Jiang, X., and Yang, R-J., “Auto-Correlation of Occupant Restraint System Model using Bayesian Model Validation Metrics.” Society of Automotive Engineers (SAE) World Conference, Detroit, Michigan, USA, Apr 20–23, 2009.

Jiang, X., Yang, R-J, and Mahadevan, S., “A Probabilistic Hierarchical Approach to Model Validation of Dynamic Systems.” Society of Automotive Engineers (SAE) World Conference, Detroit, Michigan, USA, Apr 14–17, 2008 (Invited presentation).

Jiang, X. and Mahadevan, S., “An Intelligent Online Damage Detection System for Thermal Protection Panels with Active Sensors.” Intelligent Sensors and Actuators Symposium at Earth & Space 2008 Conference, Long Beach, California, USA, Mar 3–5, 2008 (Invited paper).

Jiang, X. and Mahadevan, S., “Bayesian Probabilistic Methodology for Nonparametric Damage Assessment of Structures.” 6^th International Workshop on Structural Health Monitoring, Stanford University, California, USA, Sep 11–13, 2007 (Proceedings and CD-ROM).

Adeli, H. and Jiang, X., “Toward Smart Structures: Novel Wavelet-Chaos-Dynamic Neural Network Models for Vibration Control and Health Monitoring of Highrise Building and Bridge Structures under Extreme Dynamic Loading.” 11^th International Conference on Civil, Structural and Environmental Engineering Computing (Civil-Comp2007), St. Julians, Malta, Sep 18–21, 2007 (Proceedings).

Jiang, X. and Mahadevan, S., “Structural Equation Modeling-based Bayesian Approach for Hierarchical Model Validation.” Society for Experimental Mechanic (SEM) Annual Conference, Springfield, Massachusetts, USA, Jun 3–6, 2007 (CD-ROM).

Jiang, X. and Mahadevan, S., “Bayesian Optimal Design Method for Validation Experiments.” International Modal Analysis Conference (IMAC) XXV, Orlando, Florida, USA, Feb 19–22, 2007 (CD-ROM).

Jiang, X. and Mahadevan, S., “A Bayesian Inference Approach for Nonparametric Damage Detection.” 4^th World Conference on Structural Control and Monitoring (4WCSCM), University of California, San Diego, California, USA, Jul 11–13, 2006 (CD-ROM).

Jiang, X. and Mahadevan, S., “Bayesian Wavelet Denoising for Nonparametric Damage Detection.” 4^th World Conference on Structural Control and Monitoring (4WCSCM), University of California, San Diego, California, USA, Jul 11–13, 2006 (CD-ROM).

Mahadevan, S., McFarland, J., and Jiang, X., “Model Validation Metrics for the Thermal Challenge Problem.” Validation Challenge Workshop, Sandia National Laboratories, Albuquerque, New Mexico, May 21–23, 2006 (Presentation).

Adeli, H. and Jiang, X., “A Multi-paradigm Approach to Complexity: Chaos-Dynamic Neural Network-Wavelet Models with Applications in Intelligent Transportation Systems.” International Conference of Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life (ANNIE2004), St. Louis, Missouri, USA, Nov 7–10, 2004 (Presentation).

Adeli, H. and Jiang, X., “A New Methodology for Traffic Flow Forecasting: Dynamic Wavelet Neural Network.” Engineering 21^st Century Electro/Information Technology Systems: Solutions and Challenges (EIT 2004), Milwaukee, Wisconsin, USA, Aug 26–27, 2004 (Presentation).

Liew, J. Y. R., Jiang, X., and Chen, H., “Second-Order Spread-of-Plasticity Analysis of Spatial Steel Frames.” 1^st International Conference on Structural Stability and Dynamics (ICSSD 2000), Taipei, Taiwan, Dec 7–9, 2000 (Proceedings).

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