| Constrained Robust Bayesian Optimization of Expensive Noisy Black‐Box Functions with Guaranteed Regret Bounds A Kudva, F Sorourifar, JA Paulson AIChE Journal, e17857, 2022 | 8 | 2022 |
| Efficient robust global optimization for simulation-based problems using decomposed Gaussian processes: Application to MPC calibration A Kudva, F Sorouifar, JA Paulson 2022 American Control Conference (ACC), 2091-2097, 2022 | 6 | 2022 |
| A Bayesian optimization approach for data-efficient flexibility analysis of expensive black-box models A Kudva, JA Paulson Foundations of Computer Aided Process Operations/Chemical Process Control, 2023 | 1 | 2023 |
| Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds A Kudva, WT Tang, JA Paulson Computers & Chemical Engineering 181, 108515, 2024 | | 2024 |
| Efficient Flexibility Analysis of Computationally Expensive Black-Box Simulators Using Quantile-Based Bayesian Optimization A Kudva, WT Tang, J Paulson 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Constrained Robust Bayesian Optimization of Expensive Black-Box Functions Under Uncertainty A Kudva, F Sorourifar, J Paulson 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Mathematical Modelling for Evaluation of Multi-Stage Flash Evaporator for Concentrating Na2SO4, H2SO4, ZnSO4 and H2O Mixture A Kudva, G Sahu | | 2020 |
Joel PaulsonAssistant Professor of Chemical and Biomolecular Engineering, The Ohio State UniversityVerified email at osu.edu
