M.S.
Deep learning-augmented genetic algorithm for hydrogen liquefaction optimization
Development of robust fault detection algorithm using clustering method for multivariate time-series process data
Machine learning based approaches to estimation of quality variables in batch processes
Integration of population balance model with computational fluid dynamics for estimation of oxygen mass transfer rate in bioreactor
Model predictive control for reducing NOx emissions from diesel exhaust aftertreatment system
Process flowsheeting program development for hydrogen isotope separation system
Fault diagnosis of an industrial plant using maintenance record and multivariate analysis
Fundamental modeling and experimental investigation of polymer washing batch process
Model predictive control of mixed refrigerant liquefaction process for stable and economic operation in FLNG
Temperature and pressure control scheme for precooling process of carbon dioxide storage tank
Integrated simulation and optimization for the whole chain of CCS
A bayesian approach to robust parameter estimation of physiologically based pharmacokinetics model with drug dissolution model
Optimal design and operation of CO2 liquefaction process considering variation in cooling water temperature
Design of gas antisolvent recrystallization process
Development of soft sensor based on Raman spectroscopy for on-line monitoring of glucose concentrations in microalgal production system ..
Nonlinear model predictive control for gas antisolvent recrystallization process
