PhD, Statistics, Harvard University, 2014
AM, Statistics, Harvard University, 2011
BS, Mathematics, Purdue University, 2009
BS, Mathematical Statistics, Purdue University, 2009
Sabbaghi A., Huang Q. (2018). Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables. Annals of Applied Statistics. (accepted).
Sabbaghi A., Huang Q., Dasgupta T. (2018). Bayesian model building from small samples of disparate data for capturing in-plane deviation in additive manufacturing. Technometrics. (in press).
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.