Jitesh Panchal

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Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design pdf

Jitesh H. Panchal, Piyush Pandita, Ilias Bilionis, 2019, ArXiv.

Extending Expected Improvement for High-dimensional Stochastic Optimization of Expensive Black-Box Functions

Jitesh H. Panchal, Piyush Pandita, Ilias Bilionis, 2016, DAC 2016.

Living on the Edge Dependably: New Challenges and Solution Directions

Saurabh Bagchi, Jitesh Panchal, 2018 .

Plasticity-Related Microstructure-Property Relations for Materials Design

Farrokh Mistree, David L. McDowell, Janet Allen, 2007 .

Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks

Jitesh H. Panchal, Ilias Bilionis, Rohit Tripathy, 2019, J. Comput. Phys..

Stochastic Multi-objective Optimization on a Budget: Application to multi-pass wire drawing with quantified uncertainties

Jitesh H. Panchal, Piyush Pandita, Ilias Bilionis, 2017, 1706.01665.

Co-Evolution of Products & Communities in Mass Collaborative Product Development: a Computational Exploration

Jitesh H. Panchal, Jitesh Panchal, J. Panchal, 2009 .

Design Engineering in the Age of Industry 4.0

Farrokh Mistree, Jitesh H. Panchal, Dirk Schaefer, 2021 .

Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions

Jitesh H. Panchal, Piyush Pandita, Ilias Bilionis, 2019, Journal of Mechanical Design.