Bayesian optimization objective-based experimental design

M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
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 …

Multi-information source constrained Bayesian optimization

SF Ghoreishi, D Allaire - Structural and Multidisciplinary Optimization, 2019 - Springer
Abstract Design decisions for complex systems often can be made or informed by a variety
of information sources. When optimizing such a system, the evaluation of a quantity of …

Particle filters for partially-observed Boolean dynamical systems

M Imani, UM Braga-Neto - Automatica, 2018 - Elsevier
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 …

Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling

P Honarmandi, TC Duong, SF Ghoreishi, D Allaire… - Acta Materialia, 2019 - Elsevier
Calculation of phase diagrams is one of the fundamental tools in alloy design—more
specifically under the framework of Integrated Computational Materials Engineering …

Control of gene regulatory networks with noisy measurements and uncertain inputs

M Imani, UM Braga-Neto - IEEE Transactions on Control of …, 2017 - ieeexplore.ieee.org
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 …

Adaptive uncertainty propagation for coupled multidisciplinary systems

SF Ghoreishi, DL Allaire - AIAA journal, 2017 - arc.aiaa.org
This paper presents a novel uncertainty propagation approach for multidisciplinary systems
with feedback couplings, model discrepancy, and parametric uncertainty. The proposed …

Bayesian optimization for efficient design of uncertain coupled multidisciplinary systems

SF Ghoreishi, M Imani - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
Stabilization of complex cyber-physical systems is extremely important in keeping the critical
infrastructure and the environment safe. This is, in particular, critical in coupled …

Mode extraction on wind turbine blades via phase-based video motion estimation

A Sarrafi, P Poozesh, C Niezrecki… - Smart materials and …, 2017 - spiedigitallibrary.org
In recent years, image processing techniques are being applied more often for structural
dynamics identification, characterization, and structural health monitoring. Although as a non …

Bayesian surrogate learning for uncertainty analysis of coupled multidisciplinary systems

SF Ghoreishi, M Imani - Journal of Computing and …, 2021 - asmedigitalcollection.asme.org
Engineering systems are often composed of many subsystems that interact with each other.
These subsystems, referred to as disciplines, contain many types of uncertainty and in many …

Bayesian state estimation in partially-observed dynamic multidisciplinary systems

N Asadi, SF Ghoreishi - Frontiers in Aerospace Engineering, 2022 - frontiersin.org
Multidisciplinary systems comprise several disciplines that are connected to each other with
feedback coupled interactions. These coupled multidisciplinary systems are often observed …