Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problem

About Dan Gabriel Cacuci

Dan Gabriel Cacuci is a Distinguished Professor Emeritus in the Department of Mechanical Engineering at the University of South Carolina and the Karlsruhe Institute of Technology Germany. He received his PhD in applied physics mechanical and nuclear engineering from Columbia University. He is also the recipient of many awards including four honorary doctorates the Ernest Orlando Lawrence Memorial award from the U.S. Deptartment of Energy and the Arthur Holly Compton Eugene P. Wigner and the Glenn Seaborg Awards from the American Nuclear Society. He was named an Inaugural Highly Ranked Scholar by Scholar GPS being ranked #2 in the world in the field of Uncertainty Analysis #5 in the world in the field of Sensitivity Analysis and ranked in the top 0.05% of all scholars worldwide.This is Dr. Cacucis fifth book for CRC Press. The others include The Second-Order Adjoint Sensitivity Analysis Methodology (2018); Computational Methods for Data Evaluation and Assimilation with Ionel Michael Navon and Mihaela Ionescu-Bujor (2013); Sensitivity and Uncertainty Analysis Volume I Applications to Large-Scale Systems (2003) and Volume II (2005) also with Mihaela Ionescu-Bujor and Michael Navon..