Artificial Intelligence (AI) in Geotechnical Engineering

Course Outline

Methodologies of Different AI models

  • Artificial Neural Network
  • Support Vector Machine
  • Relevance Vector Machine
  • Least Square Support Vector Machine
  • Adaptive Neuro Fuzzy Inference System
  • Genetic Programming
  • Emotional Neural Network
  • Functional Network
  • Extreme Learning Machine
  • Multivariate Adaptive Regression Spline
  • Minimax Probability Machine Regression
  • Gaussian Process Regression
  • Deep Learning



  • Determination of bearing capacity and settlement of pile foundation and shallow foundation
  • Prediction of seismic liquefaction potential of soil
  • Determination of stability of soil slope and rock slope
  • Estimation of pullout capacity of ground anchor
  • Rock engineering
  • Geoenvironmental
  • Determination of reliability index of geostructure
  • Site characterization
  • Earth retaining structure
  • Uplift capacity of suction caisson
  • Prediction of different soil properties such as OCR, compression index, undrained shear strength, etc.

Pijush Samui is working as an associate professor in civil engineering department at NIT Patna, India. He has been selected as an adjunct professor at Ton Duc Thang University (Ho Chi Minh City, Vietnam).  He has been Visiting Professor at Far East Federal University (Russia). He has published more than 100 journal papers. He has also written several books (