Multidisciplinary design optimization (MDO) is concerned with solving design problems
involving coupled numerical models of complex engineering systems. While various MDO …

To teach multidisciplinary design optimization (MDO) to students effectively, it is useful to
have accessible software that runs quickly, allowing hands-on exploration of coupled …

One of the challenges in computational modeling is coupling models to solve
multidisciplinary problems. Flow-based computational frameworks alleviate part of the …

Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …

This paper is written to honor Raphael T. Haftka's seminal contributions to multidisciplinary
design optimization. We focus on those contributions that directly impacted our research …

Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
models with application in estimation and control of Boolean processes based on noisy and …

This paper is concerned with the problem of stochastic control of gene regulatory networks
(GRNs) observed indirectly through noisy measurements and with uncertainty in the …

This paper presents a novel uncertainty propagation approach for multidisciplinary systems
with feedback couplings, model discrepancy, and parametric uncertainty. The proposed …

In recent years, image processing techniques are being applied more often for structural
dynamics identification, characterization, and structural health monitoring. Although as a non …

Available computational models for many engineering design applications are both
expensive and and of a black-box nature. This renders traditional optimization techniques …