Welcome to the website for Dr. Jin Wang’s research group at the Chemical Engineering Department at Auburn University. The common theme of our research is to apply systems engineering approaches, control engineering principles and techniques in particular, to understand, predict, and control complex dynamic processes. Our research focuses on two groups of complex dynamic systems: one is large-scale industrial processes, the other is biological systems. Large-scale industrial processes and biological systems share many similarities at the systems level: they both consist of numerous individual components; they both have built-in feedback control/regulation mechanisms; and the properties of the overall systems are determined by the complex interactions among different components. The complex nature makes the integrative systems approaches essential in the understanding, controlling, and optimizing of these systems. However, despite their commonalities at the system level, large-scale industrial processes and biological systems have their unique characteristics and challenges that existing systems approaches cannot fully address, and new tools have to be developed. This site provides information on our progress in both research areas, including current research projects and some results obtained in the past. Please feel free to contact Dr. Wang if you have questions regarding the group and our research activities.
For more information on other active projects, please see the research page.
Xiu’s work “Comparison of variable selection methods for PLS-based soft sensor modeling” has been published by the Journal of Process Control.
Xiu’s work “Comparison of variable selection methods for PLS-based soft sensor modeling” has been accepted by the Journal of Process Control.
Andy’s work “Comprehensive Evaluation of Two Genome-scale Metabolic Network Models of Scheffersomyces Stipitis” has been accepted by Biotechnology and Bioengineering.
William Chaplow, Matthew Hilliard, and Devarshi Shah have joined the group as the newest PhD students.