Tirthankar Dasgupta
Title
Cited by
Cited by
Year
Optimizing and improving the growth quality of ZnO nanowire arrays guided by statistical design of experiments
S Xu, N Adiga, S Ba, T Dasgupta, CFJ Wu, ZL Wang
ACS nano 3 (7), 1803-1812, 2009
1742009
Optimal offline compensation of shape shrinkage for three-dimensional printing processes
Q Huang, J Zhang, A Sabbaghi, T Dasgupta
Iie transactions 47 (5), 431-441, 2015
1642015
Using the six-sigma metric to measure and improve the performance of a supply chain
T Dasgupta
Total Quality Management & Business Excellence 14 (3), 355-366, 2003
1642003
Statistical predictive modeling and compensation of geometric deviations of three-dimensional printed products
Q Huang, H Nouri, K Xu, Y Chen, S Sosina, T Dasgupta
Journal of Manufacturing Science and Engineering 136 (6), 2014
1032014
Causal inference from 2 K factorial designs by using potential outcomes
T Dasgupta, NS Pillai, DB Rubin
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015
652015
Sequential exploration of complex surfaces using minimum energy designs
VR Joseph, T Dasgupta, R Tuo, CFJ Wu
Technometrics 57 (1), 64-74, 2015
582015
Statistical modeling and analysis for robust synthesis of nanostructures
T Dasgupta, C Ma, VR Joseph, ZL Wang, CFJ Wu
Journal of the American Statistical Association 103 (482), 594-603, 2008
512008
Predictive modeling of geometric deviations of 3d printed products-a unified modeling approach for cylindrical and polygon shapes
Q Huang, H Nouri, K Xu, Y Chen, S Sosina, T Dasgupta
2014 IEEE International Conference on Automation Science and Engineering …, 2014
422014
Do transmission mechanisms or social systems drive cultural dynamics in socially structured populations?
CL Nunn, PH Thrall, K Bartz, T Dasgupta, C Boesch
Animal Behaviour 77 (6), 1515-1524, 2009
372009
Statistical predictive modeling and compensation of geometric deviations of 3D printed products
Q Huang, T Dasgupta, S Sosina
US Patent 9,827,717, 2017
352017
Robust parameter design with feedback control
T Dasgupta, CFJ Wu
Technometrics 48 (3), 349-360, 2006
342006
A Bayesian perspective on the analysis of unreplicated factorial experiments using potential outcomes
V Espinosa, T Dasgupta, DB Rubin
Technometrics 58 (1), 62-73, 2016
32*2016
A potential tale of two-by-two tables from completely randomized experiments
P Ding, T Dasgupta
Journal of the American Statistical Association 111 (513), 157-168, 2016
302016
Inference for deformation and interference in 3D printing
A Sabbaghi, T Dasgupta, Q Huang, J Zhang
The Annals of Applied Statistics, 1395-1415, 2014
302014
Opportunities and challenges of quality engineering for additive manufacturing
BM Colosimo, Q Huang, T Dasgupta, F Tsung
Journal of Quality Technology 50 (3), 233-252, 2018
282018
A conditional randomization test to account for covariate imbalance in randomized experiments
J Hennessy, T Dasgupta, L Miratrix, C Pattanayak, P Sarkar
Journal of Causal Inference 4 (1), 61-80, 2016
262016
A physical–statistical model for density control of nanowires
T Dasgupta, B Weintraub, VR Joseph
IIE Transactions 43 (4), 233-241, 2011
262011
Bayesian model building from small samples of disparate data for capturing in-plane deviation in additive manufacturing
A Sabbaghi, Q Huang, T Dasgupta
Technometrics 60 (4), 532-544, 2018
232018
Electric-field alignment of aqueous multi-walled carbon nanotubes on microporous substrates
EM Remillard, Q Zhang, S Sosina, Z Branson, T Dasgupta, CD Vecitis
Carbon 100, 578-589, 2016
232016
Shape deviation modeling for dimensional quality control in additive manufacturing
L Xu, Q Huang, A Sabbaghi, T Dasgupta
ASME 2013 International Mechanical Engineering Congress and Exposition, 2013
232013
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