Aftab on using Chebyshev gradient polynomials for modal integration

In this weeks episode we sit down with Maham Aftab, who has an extensive background in the sciences as well as activism for a variety of causes. We discuss her most recent publication, in which she used Chebyshev gradient polynomials as a basis set for modal integration. She discusses the recursive nature of the polynomial set which allowed for her method to generate a high number of fitting polynomials. The integration’s ortho-normality is discussed, as well as its unique benefits and how it fits into the general universe of integration methods for slope data. Additionally, Maham speaks about her academic experience and her work in activism.



Aftab’s Paper:

Maham Aftab, James H. Burge, Greg A. Smith, Logan Graves, Chang-jin Oh, and Dae Wook Kim, “Modal Data Processing for High Resolution Deflectometry,” Int. J. of Precis. Eng. and Manuf.-Green Tech. (2018). (in press

Southwell Integration Paper:  


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