Arman Sabbaghi

Assistant Professor in the Area of Applied Statistics (August 2014 - present)
Department of Statistics
Purdue University

Contact Information
Office: MATH 204
Department of Statistics
Purdue University
150 N University St.
West Lafayette, IN 47907-2066
Phone: (765) 496-0234
Fax: (765) 494-0558

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PhD, Statistics, Harvard University, 2014
AM, Statistics, Harvard University, 2011
BS, Mathematics, Purdue University, 2009
BS, Statistics, Purdue University, 2009


Huang Q., Zhang J., Sabbaghi A., Dasgupta T. (2015). Optimal offline compensation of shape shrinkage for 3D printing processes. IIE Transactions on Quality and Reliability Engineering. 47(5): 431-444.

Sabbaghi A., Dasgupta T., Huang Q., Zhang J. (2014). Inference for deformation and interference in 3D printing. Annals of Applied Statistics. 8(3): 1395-1415.

Sabbaghi A., Rubin D.B. (2014). Comments on the Neyman-Fisher controversy and its consequences. Statistical Science. 29(2): 267-284. (supplement)

Sabbaghi A., Dasgupta T., Wu C.F.J. (2014). Indicator functions and the algebra of the linear-quadratic parameterization. Biometrika. 101(2): 351-363.

DeMeyer L., Greve L., Sabbaghi A., Wang J. (2010). The zero-divisor graph associated to a semigroup. Communications in Algebra. 38(9): 3370-3391.

Refereed Conference Proceedings

Sabbaghi A., Huang Q. (2016). Predictive model building across difference process conditions and shapes in 3D printing. In: Twelfth Annual IEEE International Conference on Automation Science and Engineering, August 2016.

Sabbaghi A., Huang Q., Dasgupta T. (2015). Bayesian additive modeling for quality control of 3D printed products. In: Eleventh Annual IEEE International Conference on Automation Science and Engineering, August 2015.

Xu L., Huang Q., Sabbaghi A., Dasgupta T. (2013). Shape deviation modeling for high-precision additive manufacturing. In: ASME 2013 International Mechanical Engineering Congress & Exposition,, November 2013.