Teaching
CHE 358 Process Data Analysis
This course focuses on the analysis of engineering problems and process data using statistical tools. The major topics include:
Multiple linear regression
Nonlinear regression
Design of experiments (full factorial, fractional factorial)
Response surface method
Dimensionality reduction (PCA)
Neural network introduction
Logistic regression for classification
CHE 446 Process Dynamics and Control
This course focuses on systems modelling, transient response analysis and feedback control. The major topics include:
Theoretical modeling of processes
Laplace transform and transfer function
Dynamic response analysis of processes
Black box modeling of process
Feedback control, PID controller design and tuning
Closed-loop stability analysis
Frequency response analysis
Feedforward control, Cascade control, Time delay compensation
CHE 694 Advanced Optimization for Process Systems Engineernig
This course introduces the mathematical optimization theory needed for process systems engineering including process control. The major topics include:
Review of optimization basics
Optimality conditions and duality
Linear and nonlinear continuous optimization
Linear and nonlinear mixed integer optimization
Optimization under uncertainty