Dr. Hui Wang

Dr. Hui Wang




Random Field Application on Geoscience and Stochastic Geological Modelling

Advisor / Co. Advisor

Prof. Wellmann 


AICES Graduate School
RWTH Aachen University
Schinkelstr. 2a
D-52062 Aachen

Office: room 207 (GRS building, 2nd floor)
Phone: +49(0)241 80 99 128
Fax: +49(0)241 80 628 498
Email: wang@aices.rwth-aachen.de


  • 2012.8-2015.6 Ph.D. interdisciplinary program, Department of Civil Engineering, The University of Akron, Akron, OH, USA.
  • 2009.9-2012.5 M.S. Department of Civil Engineering, Tongji University, Shanghai, China.
  • 2005.9- 2009.7 B.S. Department of Civil Engineering, Tongji University, Shanghai, China.

Professional Career

  • Since 2015.8 Postdoctoral Research Associate at AICES
  • 2012.8 - 2015.7 Graduate Research Assistant at the University of Akron

Research Interests

Stochastic simulation algorithms for geological modeling and uncertainty quantification; Reliability analysis; Random fields; Machine learning.


Refereed Journal Publications

  • Wang, H., Yajima, A., Liang, R.Y. and Castaneda, H., 2015. Bayesian modeling of external corrosion in underground pipelines based on the integration of Markov chain Monte Carlo techniques and clustered inspection data. Computerā€Aided Civil and Infrastructure Engineering, 30(4), pp.300-316.
  • Wang, H., Yajima, A., Liang, R.Y. and Castaneda, H., 2015. A Bayesian model framework for calibrating ultrasonic in-line inspection data and estimating actual external corrosion depth in buried pipeline utilizing a clustering technique. Structural Safety, 54, pp.19-31.
  • Li, Z., Wang, X., Wang, H. and Liang, R.Y., 2016. Quantifying stratigraphic uncertainties by stochastic simulation techniques based on Markov random field. Engineering Geology, 201, pp.106-122.
  • Wang, H., Yajima, A., Liang, R.Y. and Castaneda, H., 2015. A clustering approach for assessing external corrosion in a buried pipeline based on hidden Markov random field model. Structural Safety, 56, pp.18-29.
  • Yajima, A., Wang, H., Liang, R.Y. and Castaneda, H., 2015. A clustering based method to evaluate soil corrosivity for pipeline external integrity management. International Journal of Pressure Vessels and Piping, 126, pp.37-47.
  • Wang, X., Li, Z., Wang, H., Rong, Q. and Liang, R.Y., 2016. Probabilistic analysis of shield-driven tunnel in multiple strata considering stratigraphic uncertainty. Structural Safety, 62, pp.88-100.
  • Wang, H., Yajima, A., Liang, R.Y. and Castaneda, H., 2015. Reliability-based temporal and spatial maintenance strategy for integrity management of corroded underground pipelines. Structure and Infrastructure Engineering, pp.1-14.

Peer Reviewed Conference Proceedings

  • Wang, H., Huang, H. and Liang, R.Y., 2014, May. Reliability Evaluation of Segment Joints in Metro Tunnel using MCMC Techniques and Bayesian Inferential Structure. In Geo-Shanghai 2014.
  • Yajima, A., Wang, H., Castaneda, H. and Liang, R., 2014. Application of Cluster Analysis for Soil Corrosivity Assessment. In Transportation Research Board 93rd Annual Meeting (No. 14-3945).

Conference Talks

  • Pattern-based analysis of subsurface heterogeneities and its application to generate spatial property distributions for process simulations, Geo-Merlin, Berlin, Germany (2015)

Conference Posters

  • A Bayesian 3D data fusion and unsupervised joint segmentation approach for stochastic geological modelling using Hidden Markov random fields, Session ERE1.1 Energy, Resources & the Environment, EGU General Assembly 2016, Vienna, Austria (2016)


  • Wang, H., 2015. Modelling of External Corrosion Propagation for Buried Pipelines Based on Stochastic Processes (Doctoral dissertation, University of Akron).