Dr. Ming Ye

Associate Professor

Department of Scientific Computing
Florida State University

PhD, University of Arizona

Office: 489 Dirac Science Library
Phone: (850) 644-4587
Fax: (850) 644-0098
Email: mye@fsu.edu

Project Title:
Parallel Computing for Assessment of Predictive Uncertainty in Groundwater Reactive Transport Modeling

Sponsored by the ORAU/ORNL High Performance Computing Program

2009 ORAU annual meeting, Oak Ridge, TN













Project Abstract

Collaborators:

  • Dr. Fan Zhang at the Oak Ridge National Labratory. Now at Institute of Tibetan Plateau Research, Chinese Academy of Sciences
  • Dr. Guoping Tang at the Oak Ridge National Laboratory
  • Dr. Jack Parker at the University of Tennessee

Graduate Students: Geoffery Miller and Jason J. Callaghan

Postdoc: Xiaoqing Shi

Project Activities:

  • June 21, 2012: Xiaoqing Shi will give a poster presentation entitled "Uncertainty Quantification for Biogeochemical Models of Ethanol-Stimulated Uranium (VI) Reduction" at the Conference of Computational Methods in Water Resources. A conference proceeding will be pubished.
  • March 17, 2012: Xiaoqing Shi's manuscript entitled "Comparing Nonlinear Regression and Markov Chain Monte Carlo Methods for Assessment of Prediction Uncertainty in Vadose Zone Modeling" was accepted for publication.
  • December 5, 2011: Xiaoqing Shi gave a poster presentation entitled "Assessment of Parametric Uncertainty in Groundwater Reactive Transport Modeling Using Markov Chain Monte Carlo Techniques" at the annual meeting of the American Geophysical Union.
  • September 4, 2011: Ming Ye gave an oral presentation entitled "Identifying Multimodal, Non-Gaussian Parameter Distributions in Groundwater Reactive Transport Modeling" on the conference of Cross-Pacific Conference on Environmental and Water Resources. Download Presentation Slides
  • August 25-31, 2011: Ming Ye and Xiaoqing Shi visited the Oak Ridge National Laboratory (ORNL). Xiaoqing Shi worked in ORNL until October, 2011.
  • January 11, 2011: Dr. Xiaoqing Shi joined our group as a post-doc working on this project. Xiaoqing's Profile
  • December 20-24, 2010: Dr. Fan Zhang visited FSU to collaborate on this project.
  • December 16, 2010: Geoffery Miller gave an oral presentation entitled "Assessment of Parametric Uncertainty using Markov Chain Monte Carlo Methods for Surface Complexation Models in Groundwater Reactive Transport Modeling" at the AGU annual meeting. Download Presentation Slides
  • November 18, 2010: Geoffery Miller defended his master thesis. He will work for the FSU's Program in Interdisciplinary Computing (PIC) as an Assistant Lecture. Download Geo's Thesis

Conference Abstracts:

  • Shi, X., G. Tang, M. Ye, W.-M. Wu, C.S. Criddle, J. Parker, D. Watson, S.C. Brooks, F. Zhang, and J. Wu (2012), Uncertainty quantification for biogeochemical models of ethanol-stimulated uranium(VI) reduction, XIX International Conference of Computational Methods in Water Resources, June 17-21, Urbaba-Champaign, IL.
  • Shi, X., M. Ye, G.P. Curtis, D. Lu, P.D. Meyer, S.B. Yabusaki, and J. Wu (2011), Assessment of parametric uncertainty in groundwater reactive transport modeling using Markov chain Monte Carlo techniques, AGU Fall Meeting, December 5-9, San Francisco, California.
  • Ye, M., X. Shi, and G.P. Curtis (2011), Identifying Multimodal, Non-Gaussian Parameter Distributions in Groundwater Reactive Transport Modeling, Cross-Pacific Conference on Environmental and Water Resources, September 3 - 5, Orlando, FL.
  • Miller, G.L., D. Lu, M. Ye, G.P. Curtis, B.S. Mendes, D. Draper (2010), Assessment of Parametric Uncertainty using Markov Chain Monte Carlo Methods for Surface Complexation Models in Groundwater Reactive Transport Modeling, AGU Fall Meeting, December 13-17, San Francisco, California.
  • Zhang, F., J. Parker, M. Ye, G. Tang, W. Wu, T. Mehlhorn, T.M. Gihring, C. Schadt, D.B. Watson, S.C. Brooks (2010), Simulation of in situ Uranium Bioremediation with Slow-Release Organic Amendment Injection, AGU Fall Meeting, December 13-17, San Francisco, California.
  • Miller, G., M. Ye, G. Tang, F. Zhang, J. Parker, D. Watson, and P. Jardine (2009), Higher Performance Computing for Groundwater Reactive Transport Modeling, AGU Fall Meeting, Dec. 14-18, San Francisco, CA.

Peer-Reviewed Journal Articles:

  • Shi, X., M. Ye, S. Finterle, and J. Wu (2012), Comparing nonlinear regression and Markov chain Monte Carlo methods for assessment of predictive uncertainty in vadose zone modeling, Vadose Zone Journal, Accepted.
  • Feng Pan, Jianting Zhu, Ming Ye, Yakov A. Pachepsky, Yu-Shu Wu (2011), Sensitivity analysis of unsaturated flow and contaminant transport with correlated parameters, Journal of Hydrology, 397, 238-249, doi:10.1016/j.jhydrol.2010.11.045.