Nima Sammaknejad
Nima Sammaknejad
Data Scientist, Systems Engineering at Genentech
Verified email at - Homepage
Cited by
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A review of the expectation maximization algorithm in data-driven process identification
N Sammaknejad, Y Zhao, B Huang
Journal of process control 73, 123-136, 2019
Approaches to robust process identification: A review and tutorial of probabilistic methods
H Kodamana, B Huang, R Ranjan, Y Zhao, R Tan, N Sammaknejad
Journal of Process Control 66, 68-83, 2018
Operating condition diagnosis based on HMM with adaptive transition probabilities in presence of missing observations
N Sammaknejad, B Huang, W Xiong, A Fatehi, F Xu, A Espejo
AIChE Journal 61 (2), 477-493, 2015
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data
M Fang, H Kodamana, B Huang, N Sammaknejad
Computers & Chemical Engineering 111, 149-163, 2018
Robust diagnosis of operating mode based on time-varying hidden Markov models
N Sammaknejad, B Huang, Y Lu
IEEE Transactions on Industrial Electronics 63 (2), 1142-1152, 2015
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation
N Sammaknejad, B Huang, A Fatehi, Y Miao, F Xu, A Espejo
Computers & chemical engineering 71, 281-297, 2014
Adaptive soft sensing and on-line estimation of the critical minimum velocity with application to an oil sand primary separation vessel
N Sammaknejad, B Huang, RS Sanders, Y Miao, F Xu, A Espejo
IFAC-PapersOnLine 48 (8), 211-216, 2015
Fault detection and isolation based on hidden Markov models
N Sammaknejad
Process monitoring based on symbolic episode representation and hidden Markov models-A moving window approach
N Sammaknejad, B Huang
5th international symposium on advanced control of industrial processes, May …, 2014
Comparison of Non - adaptive and Adaptive Nonlinear Model Predictive Control of Depth of Anesthesia
N Sammaknejad, M Shahrokhi
ICHEC07 780, 2011
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