Modeling and Experiment Design, Model Predictive Controllers, Identification for Control, Iterative Identification and Control, Data Analytics, Fault Detection and Diagnosis
Associate Dean, Education and Professional Development
KAIS 5018
Indian Institute of Technology, Madras, 1997, B.Tech
University of Alberta, 2003, Ph.D.
Research Interests

Dr. Gopaluni’s primary research interests are in Process Modeling and Control. He is interested in developing and studying the properties of data-based models for a variety of chemical and biological systems. These systems are typically nonlinear, hybrid and time varying, and their measurements are often noisy and irregular. The thrust of his research is on developing high quality models for such processes and adapting them to reflect process changes. His research interests also span a wide range of other areas including identification for control, model predictive controllers, adaptive control, and performance monitoring and assessment.

The current focus of his group includes, but is not limited to, the following:

  • Identification and Experiment Design for hybrid and irregularly sampled processes
  • Adaptive Estimation of irregularly sampled processes
  • Adaptation of above methods for small data sets and nonlinear systems
  • Applications of these approaches in the Oil & Gas and Pulp & paper industry, and Biomedical engineering

Please see his personal page for further details on specific projects.


For publications, visit his website.

CHBE 356 Process Dynamics and Control
CHBE 474 Process Control Engineering
CHBE 551 Chemical Engineering Thermodynamics
CHBE 553 Mathematical Operations in Chemical Engineering