Curriculum Vitae
Hui Wang
Postdoctoral Fellow, Bureau of Economic Geology
School of Geosciences, University of Texas at Austin
http://digthedata.weebly.com
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Address:
Phone: 919-357-1863
12007 N Lamar Blvd, Apt #1212
Austin, TX, 78753
Email: hui.wang@beg.utexas.edu
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Education
Ph.D., Civil Engineering, North Carolina State University (NCSU), May, 2012
M. S. Civil Engineering, Wuhan University, China, Jul, 2006
B. S.
Environmental Engineering, Wuhan University, China, Jul, 2003
Honors and Awards
The Society for Risk Analysis, Travel award, 2012.
Graduate Student Travel Award from NCSU, AGU fall meeting, 2011.
Technical paper contest, 2nd place, ASCE-EWRI congress, Palm Springs, CA, 2011
Excellent Graduate Student Award, Wuhan University, 2005
Excellent Undergraduate Student Award, Wuhan University, 2002
Expertise
Statistical Analysis:
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Statistical Regression;
Machine Learning Techniques;
Bayesian Method;
Risk Analysis.
Optimization:
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Linear/Non-linear optimization
Mixed Integer Programming;
AMPL;
Genetic Algorithm
Computing/Programming:
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Matlab, C, R Language, Parallel Computing.
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Curriculum Vitae
Statistical Courses
Probability theory; Statistical Inference; Time Series Analysis;
Deterministic/Non-Deterministic Decision Analysis; Bayesian Application;
Application of Stochastic Methods in Civil Engineering.
Research Experience
Postdoctoral Fellow, University of Texas at Austin, 2012- Present
Research Assistant, Civil, Construction and Environmental Engineering, (CCEE),
NCSU, 2008 – 2011.
Research Assistant, University of South Carolina, US, 2007 - 2008
Research Assistant, Civil Engineering, Wuhan University, China, 2003 - 2006
Completed Projects
Incident analysis of U.S. natural gas transmission pipelines
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Analyzed the failure rates of CO2 transport pipelines for carbon storage and sequestration using
U.S. natural gas pipelines as an analogue.
Estimated confidence intervals of injury/fatality rate
Applied statistical test to compare injury/fatality rate between onshore transmission pipelines and
onshore gathering pipelines
Contaminant identification in water distribution networks
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Implemented a Bayesian Markov Chain Monte Carlo (MCMC) algorithm for contaminant source
characterization in water distribution systems under stochastic water demands.
Proposed an adaptive water quality sampling method for detecting contaminant source in urban
water distribution systems.
Investigated the coupled Markov Chain Monte Carlo-Support Vector Regression (MCMC-SVR)
method to identify contaminant sources in water distribution systems.
Extended the MCMC algorithm to solve inverse problems in groundwater utilizing parallel
computing.
Cycle analysis of precipitation/streamflow data
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Applied singular spectrum analysis for annual precipitation/streamflow data
Analyzed the percentage of variance that could be explained by climate indices.
Improved precipitation/streamflow forecasting
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Examined the value of seasonal streamflow forecasts in water resources management
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Curriculum Vitae
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Proposed a probabilistic reservoir management approach for meeting ecological releases and
hydropower generation utilizing mixed integer linear programming.
Developed and evaluated a methodology for seamless integration of weather and climate
information in improving 15-day ahead precipitation and streamflow forecasts over the
continental US.
Proposed a Bayesian approach to provide probabilistic streamflow forecasts incorporating
gridded precipitation from climate models.
Professional Affiliations
ASCE Environmental and Water Resources Institute (EWRI): System Analysis Committee
The Society for Risk Analysis
Professional Services
Served as a session chair for:
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Exploring Environmental Impacts of Hydraulic Fracturing in the Subsurface. 2012 AGU fall
meeting, San Francisco.
Served as a journal reviewer for:
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American Society of Civil Engineering (ASCE): Journal of Infrastructure Systems, Journal of
Hydrologic Engineering, Journal of Water Resources Planning and Management.
American Geophysical Union (AGU): Water Resources Research.
International Water Association (IWA): Water and Climate Change, Journal of Water Supply.
European Geosciences Union (EGU): Hydrology and Earth System Sciences.
Some other journals: Theoretic and Applied Climatology, Stochastic Environmental Research
and Risk Assessment, Environmental Modeling & Assessment.
Served as a grant reviewer for:
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Wisconsin Water Resources Institute
Journal Articles
[J10] Wang, H., Killick, R. Distributional change of monthly precipitation due to climate change:
comprehensive examination of dataset in southeastern United States. Hydrological Processes, doi:
10.1002/hyp.9999
[9] Wang, H. Evaluation of monthly precipitation forecasting skill of the National Multi-Model
Ensemble in the summer season. Hydrological Processes, doi: 10.1002/hyp.9957
[8] Wang, H., Harrison, K. W. Bayesian approach to contaminant source characterization in water
distribution systems: adaptive sampling framework. Stochastic Environmental Research and Risk
Assessment, doi: 10.1007/s00477-013-0727-9
[J7].Wang, H., Sankarasubramanian, A., and Ranjithan, R.S. (2011) Integration of Climate and Weather
Information to Improve Medium-range Precipitation Forecasts. Journal of Hydrometeorology, doi:
http://dx.doi.org/10.1175/JHM-D-11-0128.1
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Curriculum Vitae
[J6] Wang, H., Reich, B., and Lim, H. (2012) Bayesian approach applied to probabilistic streamflow
forecasts. Journal of Hydroinformatics, doi:10.2166/hydro.2012.080
[J5] Wang, H., Harrison, K. W. (2011) Bayesian Update Method for Contaminant Source
Characterization in Water Distribution Systems. Journal of Water Resources planning and management,
doi:10.1061/(ASCE)WR.1943-5452.0000221
[J4] Wang, H., Harrison, K. W. Improving the Efficiency of the Bayesian Approach for Water
Distribution Contaminant Source Characterization with Support Vector Regression: Journal of Water
Resources Planning and Management. doi: 10.1061/(ASCE)WR. 1943-5452.0000323
[J3] Wang, H., Jin, X. (2012) Characterization of Groundwater Contaminant Source using Bayesian
Method. Stochastic Environmental Research and Risk Assessment. doi: 10.1007/s00477-012-0622-9
[J2] Fu, X, Tao, T., Wang, H. Risk Assessment of Lake Flooding Considering Uncertainty Propagation
from Rainfall: Case Study. Journal of Hydrologic Engineering. doi: 10.1061/(ASCE)HE.19435584.0000700
[J1] Wang, H., and Liu JG. Reservoir operation incorporating operational streamflow forecasts and
hedging rules. Water Resources Management, doi: 10.1007/s11269-012-0246-3
Presentations
[P8] Wang, H., (2013) Towards Sustainable Water Resources Management through Operational
Streamflow Forecasts, Civil and Material Engineering, University of Illinois at Chicago, Jun 14th, 2013
(Invited talk)
[P7] Wang, H., Duncan I. and Bickle E. (2012) Pragmatic and Modeling Approaches to Understand
Risks of Leakage in Shale Gas Wells. Society for Risk Analysis (SRA) annual meeting, San Francisco.
(Invited talk)
[P6] Wang, H. (2012). Evaluation of monthly precipitation forecasting skill of the National Multi-Model
Ensemble. AGU fall meeting, San Francisco.
[P5] Wang, H. and Duncan I. (2012). Developing new risk assessment methodologies for Carbon
Capture and Storage (CCS). 11th annual conference on Carbon Capture Utilization & Sequestration.
Apri 30 – May 3, 2012, Pittsburg, Pennsylvania.
[P4] Wang, H. (2011) A framework of sustainable reservoir operation to restore natural flow pattern.
Water Resources and Environmental Engineering Seminar, Civil Engineering, NCSU, Raleigh.
[P3] Wang, H., Sankarasubramania A. (2011), Low-frequency oscillation in annual precipitation and
streamflow over Southeastern United States. AGU fall meeting, San Francisco.
[P2] Wang, H., Ranjithan, R. S. and Sankarasubramania A. (2011), Incorporating Ecological Flow
Requirement in Sustainable Reservoir Operation. North Carolina Water Resources Research Institute
(WRRI) 13th annual conference, Raleigh, NC.
[P1] Wang, H., Sankarasubramanian, A., and Ranjithan, R.S. (2010), Interannual to Decadal Variability
in Hydroclimatic Data: Analyses and Implications to Water Resources Management, AGU fall meeting,
San Francisco.
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