| Modeling, state estimation, and optimal control for the US COVID-19 outbreak C Tsay, F Lejarza, MA Stadtherr, M Baldea Scientific Reports 10 (10711), 2020 | 171 | 2020 |
| An efficient optimization framework for tracking multiple quality attributes in supply chains of perishable products F Lejarza, M Baldea European Journal of Operational Research 297 (3), 890-903, 2022 | 29 | 2022 |
| Closed-loop optimal operational planning of supply chains with fast product quality dynamics F Lejarza, M Baldea Computers & Chemical Engineering 132, 106594, 2020 | 28 | 2020 |
| Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization F Lejarza, M Baldea Scientific Reports 12 (1), 1-15, 2022 | 27 | 2022 |
| HAR-GCNN: Deep graph CNNs for human activity recognition from highly unlabeled mobile sensor data A Mohamed, F Lejarza, S Cahail, C Claudel, E Thomaz 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 22 | 2022 |
| Microencapsulated photoluminescent gold for ppb-level chromium (VI) sensing YB Yin, CL Conrad, KN Heck, F Lejarza, MS Wong ACS applied materials & interfaces 11 (19), 17491-17500, 2019 | 18 | 2019 |
| A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study F Lejarza, I Pistikopoulos, M Baldea International Journal of Production Economics 240, 108212, 2021 | 13 | 2021 |
| Feedback-based deterministic optimization is a robust approach for supply chain management under demand uncertainty F Lejarza, MT Kelley, M Baldea Industrial & Engineering Chemistry Research 61 (33), 12153-12168, 2022 | 12 | 2022 |
| Closed-loop real-time supply chain management for perishable products F Lejarza, M Baldea IFAC-PapersOnLine 53 (2), 11458-11463, 2020 | 11 | 2020 |
| Process control and energy efficiency JM Simkoff, F Lejarza, MT Kelley, C Tsay, M Baldea Annual Review of Chemical and Biomolecular Engineering 11 (1), 423-445, 2020 | 10 | 2020 |
| Discovering governing equations via moving horizon learning: The case of reacting systems F Lejarza, M Baldea AIChE Journal 68 (6), e17567, 2022 | 8 | 2022 |
| Economic model predictive control for robust optimal operation of sparse storage networks F Lejarza, M Baldea Automatica 125, 109346, 2021 | 8 | 2021 |
| Modeling, state estimation, and optimal control for the US COVID-19 outbreak. Sci Rep 10: 10711 C Tsay, F Lejarza, MA Stadtherr, M Baldea | 6 | 2020 |
| Optimal discharge of patients from intensive care via a data-driven policy learning framework F Lejarza, J Calvert, MM Attwood, D Evans, Q Mao Operations Research for Health Care 38, 100400, 2023 | 5 | 2023 |
| Development of asphaltene coated melamine sponges for water-oil separation S Enayat, F Lejarza, M Tavakkoli, FM Vargas preparation, 2017 | 5 | 2017 |
| Modeling, state estimation, and optimal control for the US COVID-19 outbreak, Sci. Rep., 10 (2020), 10711 C Tsay, F Lejarza, MA Stadtherr, M Baldea | 5 | |
| A dynamic nonlinear optimization framework for learning data-driven reduced-order microkinetic models F Lejarza, E Koninckx, LJ Broadbelt, M Baldea Chemical Engineering Journal 462, 142089, 2023 | 3 | 2023 |
| Sparse mathematical programming for fundamental learning of governing equations F Lejarza, M Baldea Artificial Intelligence in Manufacturing, 103-134, 2024 | 1 | 2024 |
| Conclusions, Current Research, and Future Directions FMV S Enayat, F Lejarza, R Doherty, AT Khaleel, C Sisco, J Kuang, MIL ... Asphaltene Deposition, 327-350, 2018 | 1 | 2018 |
| Discovering Governing Equations Via Moving Horizon Learning: The Case of Continuous and Batch Reacting Systems F Lejarza, M Baldea 2022 Spring Meeting & 18th Global Congress on Process Safety, 2022 | | 2022 |
Michael BaldeaProfessor, University of Texas at Austin; Editor in Chief, I&ECR在 che.utexas.edu 的电子邮件经过验证
