| Real-time optimization using reinforcement learning KM Powell, D Machalek, T Quah Computers & Chemical Engineering 143, 107077, 2020 | 72 | 2020 |
| A novel implicit hybrid machine learning model and its application for reinforcement learning D Machalek, T Quah, KM Powell Computers & Chemical Engineering 155, 107496, 2021 | 16 | 2021 |
| Comparing reinforcement learning methods for real-time optimization of a chemical process T Quah, D Machalek, KM Powell Processes 8 (11), 1497, 2020 | 15 | 2020 |
| Dynamic economic optimization of a continuously stirred tank reactor using reinforcement learning D Machalek, T Quah, KM Powell 2020 American Control Conference (ACC), 2955-2960, 2020 | 15 | 2020 |
| Enhancing Fault Detection with Clustering and Covariance Analysis E Gallup, T Quah, D Machalek, KM Powell IFAC-PapersOnLine 55 (2), 258-263, 2022 | 2 | 2022 |
| Neural Network Augmented Model Predictive Control: Application to Active Brownian Particles T Quah, SC Takatori, JB Rawlings 2024 American Control Conference (ACC), 5382-5387, 2024 | | 2024 |
| Model Predictive Control of Active Brownian Particles T Quah, S Takatori, J Rawlings Bulletin of the American Physical Society, 2024 | | 2024 |
| LLEPE C ILOEJE, T QUAH UNIVERISITY OF UTAH; Argonne National Laboratory (ANL), Argonne, IL (United …, 2021 | | 2021 |
| Liquid–Liquid Extraction Thermodynamic Parameter Estimator (LLEPE) for Multicomponent Separation Systems T Quah, CO Iloeje Materials Processing Fundamentals 2021, 107-120, 2021 | | 2021 |
