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Applied Machine Learning Lab

Texas A&M University College of Engineering

Data Science for Nano Image Analysis

This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.

  • Table of Contents
  • Image Sets
  • Computer Code
  • Errata
  • Purchase a physical copy: Springer, Amazon, Barnes & Noble

A mirror booksite maintained by Dr. Chiwoo Park can be found here.

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