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MACC Researchers
Dr. Kamil A. Khan
Assistant Professor
Department of Chemical Engineering


McMaster University
1280 Main Street West
Hamilton Ontario, Canada L8S 4L7


Office: JHE 202
Voice: (905) 525-9140 x 26821
Email: kamilkhan@mcmaster.ca

[view profile on department website]

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)

Topics
Optimization Theory and Algorithms

Research Interests

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.

MACC Publications

  • Khan, K. A. Whitney differentiability of optimal-value functions for bound-constrained convex programs, Optimization,, 68 691-711 (2019) [ Publisher Version ]
  • Cao, H.Song, Y.Khan, K. A. Convergence of Subtangent-Based Relaxations of Nonlinear Programs, Processes,, 7 (4) 221 (2019) [ Publisher Version ]
  • Khan, K. A. Subtangent-based approaches for dynamic set propagation, IEEE Conference on Decision and Control,, 17-19 (2018) [ Publisher Version ]
  • Khan, K. A. Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions, Optimization Methods and Software,, 33 1127-1155 (2018) [ Publisher Version ]
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