It has been recently remarked that focusing only on accuracy in searching for optimal
Machine Learning models amplifies biases contained in the data, leading to unfair …

In an era where scientific experimentation is often costly, multi-fidelity emulation provides a
powerful tool for predictive scientific computing. While there has been notable work on multi …

Abstract We consider Reliability-based Robust Design Optimization (RRDO) where it is
sought to optimize the mean of an objective function while satisfying constraints in …

Resource management in engineering design seeks to optimally allocate while maximizing
the performance metrics of the final design. Bayesian optimization (BO) is an efficient design …

Bayesian Optimization (BO) is a foundational strategy in the field of engineering design
optimization for efficiently handling black-box functions with many constraints and expensive …

Next-generation aircraft require the development and integration of a deal of innovative
green technologies to meet the ambitious sustainability goals set for aviation. Those …

With breakthroughs in virtual experimentation, computer simulation has been replacing
physical experiments that are prohibitively expensive or infeasible to perform in a large …