Ricardo Dunia

Ricardo Dunia serves as a Lecturer in the Department of Chemical Engineering at the University of Texas at Austin, focusing on process control education and industrial applications. His work bridges theoretical frameworks with practical operational solutions for chemical processes.

Education:

• Ph.D. in Chemical Engineering, University of Texas, Austin (1997)
• M.S. in Chemical Engineering, University of Maryland, College Park (1992)

His research centers on predictive algorithms for dynamic systems, abnormal condition identification, training system design for operational safety, and data analytics for supply-demand optimization. Key methodologies include principal component analysis, fault detection systems, and real-time predictive control frameworks that enhance industrial productivity and reliability in competitive global markets.

Publication trends from 1996-2008 reveal an evolution from foundational statistical process control techniques toward integrated educational frameworks and real-time nonlinear control applications. His work consistently emphasizes practical implementation of data-driven solutions for chemical process industries, with growing emphasis on educational tools in later publications.

Dunia teaches core courses including ChE 360: Process Control and ChE 356: Optimization: Theory and Practice, directly incorporating his research on sensor fault identification and predictive control systems into curriculum development.