Ali Forghani

ali.forghaani@gmail.com

An avid python programmer with a background in groundwater numerical modeling. I have developed a groundbreaking software for geospatial data analysis and visualization of complex groundwater models. I am also proficient in development, calibration, and uncertainty analysis of groundwater models.

Experience

Senior Water Resources Engineer

ERM, Washington DC
  • Extensively uses Python to create innovative solutions for complex water resources and mining projects
  • Performs geospatial data analysis/visualization on structured and unstructured data
  • Performs data assimilation and evaluates models uncertainty
Jan 2021-Current

Groundwater Modeler

INTERA, Austin Texas
  • Awarded for developing an innovative object-oriented software for geospatial data analysis and visualization of unstructured groundwater models
  • Prepared a web-application using Python/bokeh to interactively visualize a particle tracking model
  • Performed numerical modeling, uncertainty analysis, and geospatial data analysis
August 2017 - Jan 2021

Research Assistant

Utah State University, Utah
  • Developed a Neural Networks based software to evaluate the performance of ASR wells. The study published in Journal of Hydrology
  • Implemented a C++ MPI code to run in parallel 10,000 groundwater simulations (in a cluster of computing nodes in Linux environment) to prepare the dataset for training the Neural Networks model
  • Developed a Genetic Algorithm based solution (with C++) to optimize the performance of an ASR system
August 2011 - May 2017

Education

Utah State University

PhD, Civil Engineering - Groundwater Modeling
June 2017

Sharif University of Technology

M.Sc., Civil Engineering - Water Resources Engineering
October 2007

Isfahan University of Technology

B.Sc., Civil Engineering
August 2005