Source: http://archimedes.cheme.cmu.edu/?q=acozad
Timestamp: 2019-04-20 12:26:59+00:00

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A. Cozad and N. V. Sahinidis, Derivative-free optimization enhanced-surrogate models for energy systems optimization, Invited talk at the INFORMS Annual Meeting, Charlotte, North Carolina, November, 2011.
A. Cozad, N. V. Sahinidis, and D. C. Miller, Learning surrogate models of processes from experiments or simulations, Talk at the Annual AIChE Meeting, Minneapolis, Minnesota, October, 2011.
A. Cozad, Y. Chang, N. V. Sahinidis, and D. C. Miller, Optimization of carbon capture systems using surrogate models of simulated processes, Talk at the Annual AIChE Meeting, Minneapolis, Minnesota, October, 2011.
D. C. Miller, Y. Chang, A. Cozad, H. Kim, A. Lee, P. Vouzis, N. V. S. N. M. Konda, A. J. Simon, N. Sahinidis, L. Yang, and I. E. Grossmann, Synthesis of optimal adsorptive carbon capture processes, Talk at Annual AIChE Meeting, Minneapolis, Minnesota, October, 2011.
A. Cozad and N. V. Sahinidis, Using derivative-free algorithms to identify surrogate models of energy systems, Invited talk at the SIAM Conference on Computational Science and Engineering(CSE11), Reno, Nevada, March, 2011.
A. Cozad, N. V. Sahinidis, and D. C. Miller, Optimization of power plant simulations with integrated carbon capture systems using black-box algorithms, Talk at the Annual AIChE Meeting, Salt Lake City, Utah, November, 2010.
Optimized a two-phase process to synthesize hydroxymethylfurfural (HMF) using Aspen HYSYS to model and preform sensitivity analysis.
Chemical Engineering Intern. Ecolab Inc.
Redefined, developed, and/or altered several test methods to statistically verify test precision with nonlinear categorical inputs, preform analytical tests, and better represent real-world situations.
Main accomplishment: Used six sigma methodology to improve the key output variable by 40% by building and validating a transfer function to model the effect of process and vendor inputs on output process metrics in chemical-mechanical hard drive lapping.
Improved desired characteristics of automotive adhesive including tensile strength, hardness and cure time by running an iterative design of experiments to improve upon the current adhesive recipe.
Engineering Intern. Donaldson Company, Inc.
Lead a project designed to restructure and reorganize a product code system to be used on a global level.

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