Michael J. Friedel, Ph.D.
Senior Scientist, Visiting and Adjunct Professor
email: mfriedel@usgs.gov; telephone: 303.236.7790
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Oveview: I have 24 years of international experience leading and participating on teams that characterize, monitor, and model the ecological, geophysical, and water-resource (quality and quantity in surface and ground water) response to natural and anthropogenic stresses. Because of limited information and nonuniqueness in these systems, I personally develop and apply methods to better characterize conceptual models and quantify their model and prediction uncertainty. In addition to collaborative problem solving, I enjoy writing and publishing technical articles, teaching university courses, providing workshops, and mentoring students.   Curriculum Vitae

Work experience: U.S. Geological Survey, U.S. Bureau of Mines, various universities, and international organizations.

Research experience: development and application of numerical models; improved estimation (or calibration), regularization, and validation approaches; and techniques to quantify model and predictive uncertainty.

Teaching experience: Colorado college, Hohai University, Universidade de Estadual Campinas, Universidade de Brasilia, Universidad de Centroamericana, University of Colorado, University of Kuopio; and various workshops 

International experience: Argentina, Brazil, Bulgaria, China, El Salvador, Finland, Georgia, Guatemala, Haiti, Hungary, Israel, Jordan, Kyrgyz Republic, Mauritania, Palestine, Romania, Turkey, European Union, Middle East Peace Process, NATO security

 

Recognized expertise

  • Data mining – artificial neural network; genetic programming; self organizing maps
  • Flow and transport methods and modeling - water, heat, solute, reactive; surface water, ground water, unsaturated zone
  • Flood methods and modeling - water, sediment, debris; confined, unconfined, ungaged
  • Geophysical methods and modeling
  • Hazard and risk evaluation  - earth quake, flooding, landslides, others
  • Inverse methods - fitting, calibration, stochastic, uncertainty
  • Model development - analytical, numerical, stochastic
  • Resource assessments – ecological, mineral, water
  • Teaching - seminars, workshops, courses
  • Team management - interdisciplinary, international
  • Statistical and uncertainty analysis - model and prediction
  • Integrated studies – biology, ecology, geology, geophysics, geotechnical, geostatistics, surface water, ground water, unsaturated zone

 

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