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Dr. Kamil A. Khan

Assistant 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:


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.


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)


Departmental Webpage