MARTINEZ HERNANDEZ, ELIAS

MARTINEZ HERNANDEZ, ELIAS

CIENCIAS TECNOLÓGICAS · Nivel 2

biorefineries Machine Learning AI LCA process integration biofuel bioenergy waste processing systems engineering sustainability food-energy-water nexus

Desde 2017 es Senior Research Scientist en Instituto Mexicano del Petróleo

Información*

Nombre ELIAS MARTINEZ HERNANDEZ
Área INGENIERÍAS Y DESARROLLO TECNOLÓGICO
Campo CIENCIAS TECNOLÓGICAS
Disciplina INGENIERÍA Y TECNOLOGÍA QUÍMICAS
Especialidad PROCESOS
CVU 48773
Institución
Dependencia DIRECCION DE INVESTIGACION CIUDAD DE MEXICO
Entidad CIUDAD DE MEXICO
Nivel 2
Vigencia Inicio: 01/01/2025
Fin: 31/12/2029

* Información del primer trimestre de 2026.
Fuente: SECIHTI.

Publicaciones ORCID

2025
Hydroprocessing of Liquid Biomass Fractions to Drop-in Green Aviation Fuel Sustainable Aviation
Is Sustainable Aviation Fuel Production Through Hydroprocessing of Esters and Fatty Acids (HEFA) and Alcohol-to-Jet (ATJ) Technologies Feasible in Mexico? Sustainability Switzerland
2024
Capítulo 14: Diseño experimental en cabinas construidas con materiales recuperados para disminución del ruido de fondo.
Strategic navigation of world-leading biorefineries and Mexico's policy landscape: A gateway to a sustainable circular bioeconomy Journal of Cleaner Production
Sustainable hydrogenation of limonene to value-added products using Cu–Ni catalysts supported on KIT-5 Journal of Cleaner Production
A New Systems Thinking Approach to Sustainable Resource Management: Principles and Applications A New Systems Thinking Approach to Sustainable Resource Management Principles and Applications
Priorities and relevance of bioenergy sustainability indicators: A participatory selection framework applied to community-based forestry in Mexico Energy Research and Social Science
Wet anaerobic digestion of organic fraction of municipal solid waste: experience with long-term pilot plant operation and industrial scale-up Bioprocess and Biosystems Engineering
2023
Prediction of viscosity of biomass-based molecules using atom modules and modularity as descriptors in neural network models Fluid Phase Equilibria
Digitalisation of chemical processes as graphs and applications of modular decomposition to process design and analysis Digital Chemical Engineering