Biography

Dr. Jayaram Valluru is Assistant Prof. in Dept. of Chemical Engg., IIT Ropar, India. Process Systems Engineering is his area of research, where focus is on developing novel algorithms for Bayesian State and Parameter estimation, Soft-Sensing, Data reconciliation, Fault Detection and Diagnosis using first principles knowledge as well as machine learning approaches. Dr. Valluru also has research experience in developing integrated Model Predictive Control and Real-Time Optimization frameworks for large scale chemical processes under uncertainty, development, and implementation of industrial data-driven soft sensors for quality prediction and process monitoring for mining, extraction and upgrading units of oil sands processes.
His future interests are in developing novel Hybrid estimation algorithms, i.e., integration of process knowledge (flow sheet information/process model equations) using BIG data techniques, for developing soft-sensing and data reconciliation frameworks for process unit/entire plant. Further, developing intelligent control frameworks using advanced Machine learning techniques for continuous and batch processes is of another area of research interest to be explored. Application areas include large scale continuous and batch chemical processes.

Education

• Ph.D. (Indian Institute of Technology Bombay, Mumbai.)
• M.Tech. (Engg.) (National Institute of Technology Surathkal, Karnataka.)
• B.Tech. (Engg) University College of Technology, Osmania University, Hyderabad

Teaching

• Process Control Laboratory (CH331), Winter Semester (2022-2023).