IAM Seminar Series: Prof. Bhushan Gopaluni

Process control engineers have been using time series models in a variety of applications for many decades. In this presentation, a number of approaches to linear and nonlinear dynamic models including recent advances in application of Markov Chain Monte Carlo simulations will be discussed. A variety of applications from oil & gas, pulp & paper, and biotech/biomedical industries will be outlined. While the theory and applications of these models have evolved over the years, a number of challenges remain, especially in modeling processes with sparse measured data. These challenges and potential avenues for solutions will be addressed.