Sequential Monte Carlo for Statistical Inference

Note: the talk might be on time-series modelling instead.

Speaker Bio

Dr. Bhushan Gopaluni is a Professor in the Department of Chemical and Biological Engineering at UBC, working with the Data Analytics and Intelligent Systems lab.

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.