Esam Mahdi

Assistant Professor, Limited Term


Fields of Study

Areas of Interest

  • Data Science
  • Time Series Analysis
  • Functional and Structural MRI
  • Spatio-Temporal Analysis
  • Quantile Regression


Interdisciplinary subjects are integral to a wide spectrum of projects in various fields in real-world applications where Statistics and data science are the fields that are used to extract actionable knowledge insights from data and solve problems in these projects.
My research interest lies broadly in the development of statistical models and machine learning algorithms for the analysis of time series, econometrics, and Spatio-temporal data mining.