Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification. - Ilias Bilionis; Nicholas Zabaras; Bledar A. Konomi; Guang Lin 001 (J. Comput. Phys., 2013)

Bayesian Treed Multivariate Gaussian Process With Adaptive Design: Application to a Carbon Capture Unit. - Bledar A. Konomi; Georgios Karagiannis; Avik Sarkar; Xin Sun 004; Guang Lin 001 (Technometrics, 2014)

A Bayesian mixed shrinkage prior procedure for spatial-stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs. - Georgios Karagiannis; Bledar A. Konomi; Guang Lin 001 (J. Comput. Phys., 2015)

Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions. - Bohai Zhang; Bledar A. Konomi; Huiyan Sang; Georgios Karagiannis; Guang Lin 001 (J. Comput. Phys., 2015)

Parallel and interacting stochastic approximation annealing algorithms for global optimisation. - Georgios Karagiannis; Bledar A. Konomi; Guang Lin 001; Faming Liang (Stat. Comput., 2017)

Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model. - Bledar A. Konomi; Georgios Karagiannis (Technometrics, 2021)

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments. - Pulong Ma; Anirban Mondal; Bledar A. Konomi; Jonathan Hobbs; Joon Jin Song; Emily Lei Kang (Technometrics, 2022)

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules. - Stamatina Lamprinakou; Huiyan Sang; Bledar A. Konomi; Ligang Lu (CoRR, 2025)