| A data-driven automatic tuning method for MPC under uncertainty using constrained Bayesian optimization F Sorourifar, G Makrygirgos, A Mesbah, JA Paulson IFAC-PapersOnLine 54 (3), 243-250, 2021 | 67 | 2021 |
| Integrated multiscale design, market participation, and replacement strategies for battery energy storage systems F Sorourifar, VM Zavala, AW Dowling IEEE Transactions on Sustainable Energy 11 (1), 84-92, 2018 | 62 | 2018 |
| Physics-enhanced neural ordinary differential equations: application to industrial chemical reaction systems F Sorourifar, Y Peng, I Castillo, L Bui, J Venegas, JA Paulson Industrial & Engineering Chemistry Research 62 (38), 15563-15577, 2023 | 27 | 2023 |
| A tutorial on derivative-free policy learning methods for interpretable controller representations JA Paulson, F Sorourifar, A Mesbah 2023 American Control Conference (ACC), 1295-1306, 2023 | 27 | 2023 |
| Computationally efficient integrated design and predictive control of flexible energy systems using multi‐fidelity simulation‐based Bayesian optimization F Sorourifar, N Choksi, JA Paulson Optimal Control Applications and Methods 44 (2), 549-576, 2023 | 16 | 2023 |
| Constrained robust Bayesian optimization of expensive noisy black‐box functions with guaranteed regret bounds A Kudva, F Sorourifar, JA Paulson AIChE Journal 68 (12), e17857, 2022 | 15 | 2022 |
| Efficient multi-step lookahead Bayesian optimization with local search constraints JA Paulson, F Sorouifar, A Chakrabarty 2022 IEEE 61st Conference on Decision and Control (CDC), 123-129, 2022 | 13 | 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 | 10 | 2022 |
| Predicting the solubility of organic energy storage materials based on functional group identity and substitution pattern MR Tuttle, EM Brackman, F Sorourifar, J Paulson, S Zhang The Journal of Physical Chemistry Letters 14 (5), 1318-1325, 2023 | 8 | 2023 |
| LSR-BO: Local search region constrained Bayesian optimization for performance optimization of vapor compression systems JA Paulson, F Sorouifar, CR Laughman, A Chakrabarty 2023 American Control Conference (ACC), 576-582, 2023 | 6 | 2023 |
| Surrogate optimization of variational quantum circuits EJ Gustafson, J Tiihonen, D Chamaki, F Sorourifar, JW Mullinax, ACY Li, ... arXiv preprint arXiv:2404.02951, 2024 | 4 | 2024 |
| Bayesian Optimization Priors for Efficient Variational Quantum Algorithms F Sorourifar, D Chamaki, NM Tubman, J Paulson, DEB Neira Computer Aided Chemical Engineering 53, 3379-3384, 2024 | 2 | 2024 |
| Self-optimizing vapor compression cycles online with Bayesian optimization under local search region constraints JA Paulson, F Sorouifar, CR Laughman, A Chakrabarty J. Dyn. Sys., Meas., Control., 2023 | 2 | 2023 |
| TorchSISSO: A PyTorch-based implementation of the sure independence screening and sparsifying operator for efficient and interpretable model discovery M Muthyala, F Sorourifar, JA Paulson Digital Chemical Engineering 13, 100198, 2024 | 1 | 2024 |
| Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning J Park, F Sorourifar, MR Muthyala, AM Houser, M Tuttle, JA Paulson, ... Journal of the American Chemical Society 146 (45), 31230-31239, 2024 | 1 | 2024 |
| Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology F Sorourifar, MT Rouabah, NE Belaloui, MM Louamri, D Chamaki, ... arXiv preprint arXiv:2407.07963, 2024 | 1 | 2024 |
| Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces F Sorourifar, T Banker, JA Paulson arXiv preprint arXiv:2401.01398, 2024 | 1 | 2024 |
| SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond MR Muthyala, F Sorourifar, Y Peng, JA Paulson Industrial & Engineering Chemistry Research, 2025 | | 2025 |
| Stochastic Model Predictive Control with Deep Generative Disturbance Models: Application to Control of Building Energy Systems F Sorourifar, J Paulson, Y Wang, R Quirynen, C Laughman, ... 2024 AIChE Annual Meeting, 2024 | | 2024 |
| 10A: Process Synthesis & Design for Sustainability II M Martin, Z Jiang, F Sorourifar, PZ Santhamoorthy 2024 AIChE Annual Meeting, 2024 | | 2024 |
Joel PaulsonAssistant Professor of Chemical and Biomolecular Engineering, The Ohio State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa osu.edu