Dr. Kamil A. Khan
Associate Professor
Batch Process Modeling and Control | Design of Flexible and Responsive Systems Under Uncertainty | Optimization Theory and Algorithms | Optimization of Dynamic Systems
kamilkhan@mcmaster.ca | JHE-202
MACC Researcher since May 2016
Department of Chemical Engineering
Research Summary
Dr. Khan's research interests are in developing numerical methods for efficient
simulation, sensitivity analysis, optimization, and control of chemical process systems that are nonconvex, nonsmooth, or
dynamic. Approaches followed include automatic differentiation and adjoint sensitivity analysis. He has made fundamental
theoretical contributions to the sensitivity analysis of nonsmooth dynamic systems, and has developed some of the first numerical
methods for computing this sensitivity information.
See more information at the Khan Research Group website:
https://www.khanresearchgroup.com
Profile
Dr. Khan's research aims to develop efficient, reliable, and automatable methods for simulation, sensitivity analysis, and optimization of chemical process systems that present numerical difficulties.
Education
B.S.E. Chemical Engineering, Princeton University (2009)
M.S. Chemical Engineering Practice, Massachusetts Institute of Technology (2012)
Ph.D. Chemical Engineering, Massachusetts Institute of Technology (2015)
Director's Postdoctoral Fellow, Argonne National Laboratory (2015-2016)
Publications
Departmental Webpage
