Welcome to our Research Group!
Professor Paulson's research focuses on improving the quality, efficiency, and sustainability of engineered products and processes through the development of advanced decision-making strategies in the presence of uncertainty. His work specializes in formulating these strategies in terms of stochastic mathematical optimization problems that can be applied to a broad range of applications, with a particular emphasis on chemical and biological systems, as well as developing algorithms that can efficiently solve these problems.
Joel Paulson received his PhD in 2016 from the Massachusetts Institute of Technology (MIT), where he won an NSF Graduate Research Fellowship and multiple awards for research and outstanding teaching and mentoring. His advisors were Professors Richard Braatz and Michael Strano. After completing his PhD, Dr. Paulson held a postdoctoral research position in Professor Ali Mesbah's group at the University of California, Berkeley. While at UC Berkeley, he was a finalist for the 2017 International Federation of Automatic Control (IFAC) Conference Best Paper Award.
As of June 2019, Professor Paulson had published three book chapters and 14 peer-reviewed articles in journals such as ACS Nano, Journal of Physical Chemistry Letters, Organic Process Research & Development, Journal of Process Control, and International Journal of Robust and Nonlinear Control.
For news about Professor Paulson, please visit the chemical engineering department's website.