| Supervised variational autoencoders for soft sensor modeling with missing data R Xie, NM Jan, K Hao, L Chen, B Huang IEEE Transactions on Industrial Informatics 16 (4), 2820-2828, 2019 | 130 | 2019 |
| Multimodal process monitoring based on variational Bayesian PCA and Kullback-Leibler divergence between mixture models Y Cao, NM Jan, B Huang, M Fang, Y Wang, W Gui Chemometrics and Intelligent Laboratory Systems 210, 104230, 2021 | 22 | 2021 |
| Constrained ensemble Kalman filter based on Kullback–Leibler divergence R Li, NM Jan, B Huang, V Prasad Journal of Process Control 81, 150-161, 2019 | 20 | 2019 |
| Constrained multimodal ensemble Kalman filter based on Kullback–Leibler (KL) divergence R Li, NM Jan, B Huang, V Prasad Journal of Process Control 79, 16-28, 2019 | 18 | 2019 |
| Expectation maximization approach for simultaneous gross error detection and data reconciliation using Gaussian mixture distribution H Alighardashi, NM Jan, B Huang Industrial & Engineering Chemistry Research 56 (49), 14530-14544, 2017 | 16 | 2017 |
| Sensor network design for optimal process operation based on data reconciliation M Nabil, S Narasimhan Industrial & Engineering Chemistry Research 51 (19), 6789-6797, 2012 | 16 | 2012 |
| Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing A Sadeghian, NM Jan, O Wu, B Huang Chemometrics and Intelligent Laboratory Systems 222, 104491, 2022 | 14 | 2022 |
| Economic back-off selection based on optimal multivariable controller M Nabil, S Narasimhan, S Skogestad IFAC Proceedings Volumes 45 (15), 792-797, 2012 | 12 | 2012 |
| Profitable and dynamically feasible operating point selection for constrained processes M Nabil, S Narasimhan, S Skogestad Journal of Process Control 24 (5), 531-541, 2014 | 11 | 2014 |
| Economical and plant friendly input design for system identification A Kumar, M Nabil, S Narasimhan 2014 European Control Conference (ECC), 732-737, 2014 | 10 | 2014 |
| No-delay multimodal process monitoring using Kullback-Leibler divergence-based statistics in probabilistic mixture models Y Cao, NM Jan, B Huang, Y Wang, Z Pan, W Gui IEEE Transactions on Automation Science and Engineering 20 (1), 167-178, 2022 | 9 | 2022 |
| Chance-constrained model predictive control for SAGD process using robust optimization approximation W Shen, Z Li, B Huang, NM Jan Industrial & Engineering Chemistry Research 58 (26), 11407-11418, 2018 | 7 | 2018 |
| Robust soft sensor development using multi-rate measurements O Wu, H Kodamana, NM Jan, R Tan, B Huang IFAC-PapersOnLine 50 (1), 10190-10195, 2017 | 7 | 2017 |
| Branch and bound algorithm for optimal sensor network design G Menon, M Nabil, S Narasimhan IFAC Proceedings Volumes 46 (32), 690-695, 2013 | 7 | 2013 |
| Optimal selection of sensor network and backed-off operating point based on economics NM Jan, S Skogestad, S Narasimhan 2013 European Control Conference (ECC), 4472-4477, 2013 | 7 | 2013 |
| Probabilistic just-in-time approach for nonlinear modeling with Bayesian nonlinear feature extraction F Shen, NM Jan, B Huang, H Yang Chemometrics and Intelligent Laboratory Systems 196, 103895, 2020 | 6 | 2020 |
| Constrained extended Kalman filter based on Kullback-Leibler (KL) divergence R Li, NM Jan, V Prasad, B Huang 2018 European Control Conference (ECC), 831-836, 2018 | 6 | 2018 |
| Economical input design for identification of multivariate systems A Kumar, M Nabil, S Narasimhan IFAC-PapersOnLine 48 (28), 1313-1318, 2015 | 6 | 2015 |
| Data rectification for multiple operating modes: A MAP framework H Alighardashi, NM Jan, B Huang Computers & Chemical Engineering 123, 272-285, 2019 | 5 | 2019 |
| Data analytics for oil sands subcool prediction—a comparative study of machine learning algorithms C Li, NM Jan, B Huang IFAC-PapersOnLine 51 (18), 886-891, 2018 | 5 | 2018 |
Biao HuangUniversity of Alberta, CanadaVerified email at ualberta.ca
