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Sepehr Fathizadan
Sepehr Fathizadan
Intel Corporation
Verified email at asu.edu
Title
Cited by
Cited by
Year
Deep representation learning for process variation management in laser powder bed fusion
S Fathizadan, F Ju, Y Lu
Additive Manufacturing 42, 101961, 2021
352021
EWMA control chart performance with estimated parameters under non‐normality
R Noorossana, S Fathizadan, MR Nayebpour
Quality and Reliability Engineering International 32 (5), 1637-1654, 2016
282016
Print surface thermal modeling and layer time control for large-scale additive manufacturing
F Wang, S Fathizadan, F Ju, K Rowe, N Hofmann
IEEE Transactions on automation science and engineering 18 (1), 244-254, 2020
262020
A novel real-time thermal analysis and layer time control framework for large-scale additive manufacturing
S Fathizadan, F Ju, K Rowe, A Fiechter, N Hofmann
Journal of Manufacturing Science and Engineering 143 (1), 011009, 2021
132021
Using independent component analysis to monitor 2‐D geometric specifications
S Fathizadan, STA Niaki, R Noorossana
Quality and Reliability Engineering International 33 (8), 2075-2087, 2017
112017
Dynamic material deposition control for large-scale additive manufacturing
S Fathizadan, F Ju, F Wang, K Rowe, N Hofmann
IISE Transactions 54 (9), 817-831, 2022
32022
Deep Spatio-Temporal Anomaly Detection in Laser Powder Bed Fusion
S Fathizadan, F Ju, Y Lu, Z Yang
IEEE Transactions on Automation Science and Engineering, 2023
2023
Real-time Monitoring and Optimal Control for Smart Additive Manufacturing
S Fathizadan
Arizona State University, 2022
2022
Deep Representation Learning for Process Control in Laser Additive Manufacturing
Y Lu, S Fathizadan, F Ju
Yan Lu, Sepehr Fathizadan, Feng Ju, 2021
2021
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