Jinfeng Liu, PhD

Area of Study / Keywords

Process Control and Systems Engineering Model Predictive Control Optimal Control with Machine Learning Data Analytics and Applied Machine Learning System Identification Irrigation Engineering

About

Dr. Liu received the BS and MS degrees in Control Science and Engineering from Zhejiang University in 2003 and 2006, respectively. He received the PhD degree in Chemical Engineering from the University of California, Los Angeles in 2011. Before joining the University of Alberta in April, 2012, Dr. Liu was a postdoctoral researcher at the University of California, Los Angeles. 

Research

Dr. Liu's research interests are in the general areas of process control and systems engineering with emphasis on model predictive control, data analytics and applied machine learning, optimal control with machine learning, system identification and their applications in chemical processes and irrigation engineering. The long-term goal is to develop techniques enabling sustainable smart plant operations, in which physical processes, computations, and communication are integrated to address plant-wide safety and environmental and economic considerations.

CH E 446 - Process Dynamics and Control

Introduction to process modeling and transient response analysis; design and analysis of feedback systems; stability analysis; process control applications; process control using digital computers. Prerequisites: CME 265, MATH 201 and 209. Corequisite: CH E 312.

CME 481 - Colloquium I

Communication and oral presentations. Graded on a pass/fail basis. Prerequisite: 85 units completed or consent of instructor.

Browse more courses taught by Jinfeng Liu

• PSACE Research Group