Dynamic risk-based fault prediction of chemical processes using online sparse model identification. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2021)

Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS). - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (Comput. Chem. Eng., 2021)

Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2022)

Handling cyclic loops for accurate root cause diagnosis of rare events in chemical processes using modified Bayesian network. - Pallavi Kumari; Bhavana Bhadriraju; Qingsheng Wang; Joseph Sang-Il Kwon (ACC, 2022)

An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries. - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (Comput. Chem. Eng., 2023)

Resilience assessment of chemical processes using operable adaptive sparse identification of systems. - Bhushan Pawar; Bhavana Bhadriraju; Faisal Khan 001; Joseph Sang-Il Kwon; Qingsheng Wang (Comput. Chem. Eng., 2023)

Lyapunov-Based Model Predictive Control Using Operable Adaptive Sparse Identification of Systems (OASIS). - Bhavana Bhadriraju; Joseph Sang-Il Kwon; Faisal Khan 001 (ACC, 2024)