Efficient Robust Global Optimization for Simulation-based Problems using Decomposed Gaussian Processes: Application to MPC Calibration. - Akshay Kudva; Farshud Sorourifar; Joel A. Paulson (ACC, 2022)

Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds. - Akshay Kudva; Wei-Ting Tang; Joel A. Paulson (Comput. Chem. Eng., 2024)

Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs. - Akshay Kudva; Wei-Ting Tang; Joel A. Paulson (CoRR, 2025)