| Maximizing information from chemical engineering data sets: Applications to machine learning A Thebelt, J Wiebe, J Kronqvist, C Tsay, R Misener Chemical Engineering Science 252, 117469, 2022 | 44 | 2022 |
| Data-driven optimization of processes with degrading equipment J Wiebe, I Cecílio, R Misener Industrial & Engineering Chemistry Research 57 (50), 17177-17191, 2018 | 40 | 2018 |
| Robust optimization for the pooling problem J Wiebe, I Cecılio, R Misener Industrial & Engineering Chemistry Research 58 (28), 12712-12722, 2019 | 16 | 2019 |
| A robust approach to warped Gaussian process-constrained optimization J Wiebe, I Cecílio, J Dunlop, R Misener Mathematical Programming 196 (1), 805-839, 2022 | 13 | 2022 |
| ROmodel: modeling robust optimization problems in Pyomo J Wiebe, R Misener Optimization and Engineering 23 (4), 1873-1894, 2022 | 10 | 2022 |
| Approximation algorithms for process systems engineering D Letsios, R Baltean-Lugojan, F Ceccon, M Mistry, J Wiebe, R Misener Computers & Chemical Engineering 132, 106599, 2020 | 7 | 2020 |
| ROmodel: A Python Robust Optimization Modeling Toolbox J Wiebe, R Misener Computer Aided Chemical Engineering 50, 683-688, 2021 | 1 | 2021 |
| The robust pooling problem J Wiebe, I Cecílio, R Misener Computer Aided Chemical Engineering 46, 907-912, 2019 | 1 | 2019 |
| Gaussian processes for hybridizing analytical & data-driven decision-making S Olofsson, J Wiebe, MP Deisenroth, R Misener 2018 AIChE Annual Meeting, 2018 | 1 | 2018 |
| Formulations, algorithms and software for robust optimisation J Wiebe Imperial College London, 2021 | | 2021 |
| Robust Planning and Scheduling for Processes with Equipment Degradation J Wiebe, R Misener 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Approximation Algorithms for Process Systems Engineering D Letsios, R Baltean-Lugojan, J Bradley, F Ceccon, K Čyras, G Kouyialis, ... Computer Aided Chemical Engineering 43, 565-566, 2018 | | 2018 |
Ruth MisenerImperial College LondonVerified email at imperial.ac.uk
