In simulation-based realization of complex systems, we are forced to address the issue of
computational complexity. One critical issue that must be addressed is the approximation of …

Lightweight bistable deployable structures can be designed to be transportable and
reusable. They instantaneously achieve some structural stability when transformed from the …

Fast inference of numerical model parameters from data is an important prerequisite to
generate predictive models for a wide range of applications. Use of sampling-based …

Catalogs have been used for over a century for designing engineering systems. While
catalogs are excellent repositories of engineering information, they are difficult to navigate …

In this work, large-scale structural optimization problems involving non-ordinal categorical
design variables and continuous variables are investigated. The aim is to minimize the …

In this paper, mixed categorical structural optimization problems are investigated. The aim is
to minimize the weight of a truss structure with respect to cross-section areas, materials, and …

In this article, we propose an interval constraint programming method for globally solving
catalog-based categorical optimization problems. It supports catalogs of arbitrary size and …

In Bayesian models with latent variables, generating samples from the posterior distributions
of the model parameters and latent variables is critical for statistical inference, uncertainty …

This dissertation is a result of the continuous support, mentoring and encouragement from
several people involved in my life. The associations with these people have helped me grow …

In this paper, large scale structural optimization problems involving both non-ordinal
categorical and continuous design variables are investigated. The aim is to minimize the …