1 |
Deep Learning for Classification of Profit-Based Operating Regions in Industrial Processes Agarwal P, Tamer M, Sahraei MH, Budman H Industrial & Engineering Chemistry Research, 59(6), 2378, 2020 |
2 |
Experimental Design for Batch-to-Batch Optimization under Model-Plant Mismatch Hille R, Budman HM Industrial & Engineering Chemistry Research, 58(30), 13599, 2019 |
3 |
A simplified strategy to reduce the desorbent consumption and equipment installed in a three-zone simulated moving bed process for the separation of glucose and fructose Tangpromphan P, Budman H, Jaree A Chemical Engineering and Processing, 126, 23, 2018 |
4 |
Simultaneous identification and optimization of biochemical processes under model-plant mismatch using output uncertainty bounds Hille R, Budman HM Computers & Chemical Engineering, 113, 125, 2018 |
5 |
On the use of physical boundary conditions for two-phase flow simulations: Integration of control feedback Agnaou M, Treeratanaphitak T, Mowla A, Ioannidis M, Abukhdeir NM, Budman H Computers & Chemical Engineering, 118, 268, 2018 |
6 |
Fault Detection and Classification for Nonlinear Chemical Processes using Lasso and Gaussian Process Du YC, Budman H, Duever TA, Du DP Industrial & Engineering Chemistry Research, 57(27), 8962, 2018 |
7 |
Evaluation of a Hybrid Clustering Approach for a Benchmark Industrial System Fontes CH, Budman H Industrial & Engineering Chemistry Research, 57(32), 11039, 2018 |
8 |
Robust batch-to-batch optimization in the presence of model-plant mismatch and input uncertainty Hille R, Mandur J, Budman HM AIChE Journal, 63(7), 2660, 2017 |
9 |
Identification of active constraints in dynamic flux balance analysis Nikdel A, Budman H Biotechnology Progress, 33(1), 26, 2017 |
10 |
Applications of Polynomial Chaos Expansions in optimization and control of bioreactors based on dynamic metabolic flux balance models Kumar D, Budman H Chemical Engineering Science, 167, 18, 2017 |