Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing. - Adel Alaeddini; Edward Craft; Rajitha Meka; Stanford Martinez (IISE Trans., 2019)

An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression. - Rajitha Meka; Adel Alaeddini; Sakiko Oyama; Kristina Langer (IEEE Access, 2020)

Corrections to "An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression". - Rajitha Meka; Adel Alaeddini; Sakiko Oyama; Kristina Langer (IEEE Access, 2020)

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise. - Rajitha Meka; Adel Alaeddini; Chinonso Ovuegbe; Pranav A. Bhounsule; Peyman Najafirad; Kai Yang 005 (IEEE Access, 2021)