Fernando  Lejarza
Fernando Lejarza
McKetta Department of Chemical Engineering at The University of Texas at Austin
Verified email at - Homepage
Cited by
Cited by
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
Closed-loop optimal operational planning of supply chains with fast product quality dynamics
F Lejarza, M Baldea
Computers & Chemical Engineering 132, 106594, 2020
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
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
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
Process control and energy efficiency
JM Simkoff, F Lejarza, MT Kelley, C Tsay, M Baldea
Annual Review of Chemical and Biomolecular Engineering 11, 423-445, 2020
Development of asphaltene coated melamine sponges for water-oil separation
S Enayat, F Lejarza, M Tavakkoli, FM Vargas
preparation, 2017
Economic model predictive control for robust optimal operation of sparse storage networks
F Lejarza, M Baldea
Automatica 125, 109346, 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
Closed-loop real-time supply chain management for perishable products
F Lejarza, M Baldea
IFAC-PapersOnLine 53 (2), 11458-11463, 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
Discovering governing equations via moving horizon learning: The case of reacting systems
F Lejarza, M Baldea
AIChE Journal 68 (6), e17567, 2022
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
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
Optimal discharge of patients from intensive care via a data-driven policy learning framework
F Lejarza, J Calvert, MM Attwood, D Evans, Q Mao
arXiv preprint arXiv:2112.09315, 2021
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
F Lejarza, M Baldea
CEP, 2023
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
DySMHO: Data-driven discovery of governing equations for dynamical systems via moving horizon optimization
F Lejarza, M Baldea
arXiv preprint arXiv:2108.00069, 2021
Microencapsulated Photoluminescent Gold for ppb-Level Chromium (VI) Sensing
CL Coonrod, YB Yin, CL Conrad, KN Heck, F Lejarza, MS Wong
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