Vahid Monfared completed his PhD in Mechanical Engineering (Solid and Applied Mechanics), and works as a part-time lecturer/instructor at the University of Rhode Island/URI (USA), He also holds roles as an Associate Professor at Islamic Azad University of Zanjan, and as a Postdoctoral Research Fellow at Harvard Medical School (Harvard University) in the field of Machine Learning (AI) and Data Science to Medicine, Healthcare, and Engineering). Vahid also has practical experience as an engineer at Varian (a Siemens Healthineers company). In addition to the main filed in mechanical engineering (solid mechanics), his research interests include the application of Data Analytics and ML/AI in prediction of complex phenomena such as creep, mechanical deformations, and failure analysis. Along with working on AI and machine learning projects at Harvard Medical School. He furthered his knowledge of applied data analytics and machine learning at the Massachusetts Institute of Technology (MIT) and Boston University (BU) by completing a master’s degree in applied data analytics.

• 1. General Information for Creep Analysis Methods2. Analytical Creep Analysis Methods3. Numerical Creep Analysis Methods4. Experimental Creep Analysis Methods5. Comprehensive Algorithm for Analyzing Elasticity and Plasticity Problems6. Effects of Atomic Number and Atomic Weight on Creep7. Simulation of Elasto-Plastic Deformation in Composite by Flow Rules8. Obtaining the Viscosity of Solids Using Creep Semi-Theoretically9. Creep Formulations and Diagrams10. Application of Legendre Polynomials in Creep Analysis of Composites11. Computational Modeling of Creep in Complex Plane for Composites12. Solved ProblemsAppendixA. Some Mechanical Equations and Material PropertiesB. Some Mathematical RelationsC. Useful Creep Data for Some Alloys References