| Machine learning-based adaptive model identification of systems: Application to a chemical process B Bhadriraju, A Narasingam, JSI Kwon Chemical Engineering Research and Design 152, 372-383, 2019 | 98 | 2019 |
| Operable adaptive sparse identification of systems: Application to chemical processes B Bhadriraju, MSF Bangi, A Narasingam, JSI Kwon AIChE Journal 66 (11), e16980, 2020 | 81 | 2020 |
| Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS) B Bhadriraju, JSI Kwon, F Khan Computers & Chemical Engineering 152, 107378, 2021 | 48 | 2021 |
| OASIS-P: Operable adaptive sparse identification of systems for fault prognosis of chemical processes B Bhadriraju, JSI Kwon, F Khan Journal of Process Control 107, 114-126, 2021 | 43 | 2021 |
| A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry P Kumari, B Bhadriraju, Q Wang, JSI Kwon Journal of Process Control 110, 84-98, 2022 | 41 | 2022 |
| A slip-spring framework to study relaxation dynamics of entangled wormlike micelles with kinetic Monte Carlo algorithm S Pahari, B Bhadriraju, M Akbulut, JSI Kwon Journal of Colloid and Interface Science 600, 550-560, 2021 | 39 | 2021 |
| Development of parametric reduced-order model for consequence estimation of rare events P Kumari, B Bhadriraju, Q Wang, JSI Kwon Chemical Engineering Research and Design 169, 142-152, 2021 | 24 | 2021 |
| Data-driven modeling of multimode chemical process: Validation with a real-world distillation column Y Choi, B Bhadriaju, H Cho, J Lim, IS Han, I Moon, JSI Kwon, J Kim Chemical Engineering Journal 457, 141025, 2023 | 18 | 2023 |
| An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries B Bhadriraju, JSI Kwon, F Khan Computers & Chemical Engineering 175, 108275, 2023 | 17 | 2023 |
| Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots B Bhadriraju, JSI Kwon, F Khan 2022 American Control Conference (ACC), 3626-3631, 2022 | 6 | 2022 |
| Dynamic risk-based fault prediction of chemical processes using online sparse model identification B Bhadriraju, JSI Kwon, F Khan 2021 American Control Conference (ACC), 4964-4969, 2021 | 6 | 2021 |
| Resilience assessment of chemical processes using operable adaptive sparse identification of systems B Pawar, B Bhadriraju, F Khan, JSII Kwon, Q Wang Computers & Chemical Engineering 177, 108346, 2023 | 3 | 2023 |
| 10 DATA-DRIVEN ADAPTIVE SPARSE MODELING OF CHEMICAL PROCESS SYSTEMS B Bhadriaju, JSI Kwon, F Khan Energy Systems and Processes, 2023 | 3 | 2023 |
| A multiphysics model for predicting spatiotemporal temperature profiles in microwave-heated carbon capture processes RP Bhavsar, B Bhadriraju, GA Lee, S Nagpal, AHA Park, JSI Kwon Chemical Engineering Journal 495, 152977, 2024 | 1 | 2024 |
| A data-driven framework integrating Lyapunov-based MPC and OASIS-based observer for control beyond training domains B Bhadriraju, JSI Kwon, F Khan Journal of Process Control 138, 103224, 2024 | 1 | 2024 |
| Lyapunov-Based Model Predictive Control Using Operable Adaptive Sparse Identification of Systems (OASIS) B Bhadriraju, JSI Kwon, F Khan 2024 American Control Conference (ACC), 1732-1737, 2024 | | 2024 |
| Machine Learning-Based Adaptive Regression to Identify Nonlinear Dynamics of Biochemical Systems: A Case Study on Bio 2, 3-Butanediol Distillation Process Y Choi, B Bhadriraju, H Kwon, J Lim, JSI Kwon, J Kim ACS Sustainable Chemistry & Engineering 12 (29), 10869-10879, 2024 | | 2024 |
| A Systematic Approach for Controlling Processes Outside the Training Region of Data-Driven Models B Bhadriraju, J Kwon, F Khan 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Data-Driven Adaptive Sparse Identification of Time-Varying Nonlinear Dynamics for 2, 3-Bdo Distillation Column Y Choi, B Bhadriraju, H Cho, J Lim, I Moon, J Kwon, J Kim 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Modeling of Spatiotemporal Temperature Distribution in Hybrid Nanoscale Multifunctional Material for Desorption of CO2 RP Bhavsar, B Bhadriraju, GH Lee, AH Park, J Kwon 2023 AIChE Annual Meeting, 2023 | | 2023 |
Joseph Sang-Il KwonKenneth R. Hall Associate Professor, Artie McFerrin Department of Chemical Engineering, TAMUtamu.edu의 이메일 확인됨
