Dr. Peter Kitanidis

Professor

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Biography

Peter K. Kitanidis is a Professor in the Department of Civil and Environmental Engineering at Stanford University, specializing in the analysis, development, and implementation of mathematical models to describe and predict flow and transport rates in the environment. He has devised methods for the analysis of spatially distributed hydrologic and water-quality data, particularly focusing on uncertainty quantification in groundwater models and the optimization of sampling control strategies when available information is incomplete. Kitanidis has developed large-scale inverse modeling techniques for data assimilation utilizing fast linear algebra tools and has researched novel inversion methods such as hydraulic tomography in various modalities including static and transient analysis. His active studies include mixing processes in groundwater and the development of cost-effective enhanced in-situ remediation methods. He also investigates how the heterogeneous nature of hydrogeochemical variables affects flow and transport rates at hydrologic scales. Additionally, he has developed software for data analysis and monitoring of geologic carbon dioxide storage sites, as well as real-time forecasting methods for river flows. Kitanidis has received several accolades including the W. L. Huber Civil Engineering Research Prize and was recognized as an ISI Highly Cited Researcher. He serves as the Chief Editor of the Journal of Hydrology and has been involved with various technical committees through organizations such as the AGU and ASCE.

Research Interests

Experience

Professor

— Present

Stanford University • Stanford, CA

Teaching and research in Civil and Environmental Engineering.

Awards

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L. G. Straub Award

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W. L. Huber Civil Engineering Research Prize

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ISI Highly Cited Researcher

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Hydrologic Sciences Award

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.