Ehecatl Antonio del Río Chanona

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Dongda ZhangUniversity Lecturer, School of Chemical Engineering and Analytical Science, University of ManchesterDirección de correo verificada de manchester.ac.uk
Panagiotis PetsagkourakisSargent Centre for Process Systems EngineeringDirección de correo verificada de imperial.ac.uk
Eric BradfordKPMG SwitzerlandDirección de correo verificada de KPMG.com
Klaus HellgardtProfessor of Chemical Engineering, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Max MowbrayImperial College LondonDirección de correo verificada de imperial.ac.uk
Nilay ShahImperial CollegeDirección de correo verificada de imperial.ac.uk
Tom SavageImperial College LondonDirección de correo verificada de imperial.ac.uk
Ilya Orson SandovalMachine Learning Research Intern, The Alan Turing Institute | PhD Candidate, Imperial College LondonDirección de correo verificada de ic.ac.uk
Bovinille Anye ChoPhD Chemical Engineering, The University of ManchesterDirección de correo verificada de manchester.ac.uk
Benoit ChachuatImperial College LondonDirección de correo verificada de imperial.ac.uk
Mehmet MercangözABB Reader in Autonomous Industrial Systems at Imperial College LondonDirección de correo verificada de imperial.ac.uk
Zhengang ZhongPhD Candidate, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Akhil AhmedPhD Student, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Nausheen BashaFluids EngineeringDirección de correo verificada de imperial.ac.uk
Omar MatarProfessor of Fluid Mechanics, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Artur M. SchweidtmannDelft University of Technology, Department of Chemical EngineeringDirección de correo verificada de tudelft.nl
Oscar Méndez-LucioRecursionDirección de correo verificada de comunidad.unam.mx
Francisco Jose Navarro-BrullUniversity of AlicanteDirección de correo verificada de ua.es
Elton PanPhD Candidate in Materials Science and Engineering, MITDirección de correo verificada de mit.edu
Federico GalvaninAssociate Professor of Chemical Engineering, University College London (UCL)Dirección de correo verificada de ucl.ac.uk

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Ehecatl Antonio del Río Chanona

Sargent Centre for Process Systems Engineering, Imperial College London

Dirección de correo verificada de imperial.ac.uk - Página principal

Optimization Machine Learning Reinforcement Learning Bayesian Optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Reinforcement learning for batch bioprocess optimization P Petsagkourakis, IO Sandoval, E Bradford, D Zhang, ... Computers & Chemical Engineering 133, 106649, 2020	145	2020
A geometric deep learning approach to predict binding conformations of bioactive molecules O Méndez-Lucio, M Ahmad, EA del Rio-Chanona, JK Wegner Nature Machine Intelligence 3 (12), 1033-1039, 2021	114	2021
Machine learning for biochemical engineering: A review M Mowbray, T Savage, C Wu, Z Song, BA Cho, EA Del Rio-Chanona, ... Biochemical Engineering Journal 172, 108054, 2021	106	2021
Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization D Zhang, EA Del Rio‐Chanona, P Petsagkourakis, J Wagner Biotechnology and bioengineering 116 (11), 2919-2930, 2019	102	2019
Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design EA del Rio‐Chanona, JL Wagner, H Ali, F Fiorelli, D Zhang, K Hellgardt AIChE Journal 65 (3), 915-923, 2019	101	2019
Stochastic data-driven model predictive control using gaussian processes E Bradford, L Imsland, D Zhang, EA del Rio Chanona Computers & Chemical Engineering 139, 106844, 2020	90	2020
Dynamic modelling of Haematococcus pluvialis photoinduction for astaxanthin production in both attached and suspended photobioreactors D Zhang, M Wan, EA del Rio-Chanona, J Huang, W Wang, Y Li, ... Algal Research 13, 69-78, 2016	68	2016
Bioprocess modelling of biohydrogen production by Rhodopseudomonas palustris: model development and effects of operating conditions on hydrogen yield and glycerol conversion … D Zhang, N Xiao, KT Mahbubani, EA del Rio-Chanona, NKH Slater, ... Chemical Engineering Science 130, 68-78, 2015	63	2015
Modelling of light and temperature influences on cyanobacterial growth and biohydrogen production D Zhang, P Dechatiwongse, EA del Rio-Chanona, GC Maitland, ... Algal Research 9, 263-274, 2015	63	2015
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes E Bradford, AM Schweidtmann, D Zhang, K Jing, EA del Rio-Chanona Computers & Chemical Engineering 118, 143-158, 2018	61	2018
Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation EA del Rio Chanona, P Petsagkourakis, E Bradford, JEA Graciano, ... Computers & Chemical Engineering 147, 107249, 2021	56	2021
Industrial data science–a review of machine learning applications for chemical and process industries M Mowbray, M Vallerio, C Perez-Galvan, D Zhang, ADR Chanona, ... Reaction Chemistry & Engineering 7 (7), 1471-1509, 2022	51	2022
Model-based real-time optimisation of a fed-batch cyanobacterial hydrogen production process using economic model predictive control strategy EA del Rio-Chanona, D Zhang, VS Vassiliadis Chemical engineering science 142, 289-298, 2016	51	2016
Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment EA Del Rio‐Chanona, X Cong, E Bradford, D Zhang, K Jing Biotechnology and bioengineering 116 (2), 342-353, 2019	48	2019
Kinetic modeling and process analysis for Desmodesmus sp. lutein photo‐production EA del Rio‐Chanona, N Ahmed, D Zhang, Y Lu, K Jing AIChE Journal 63 (7), 2546-2554, 2017	48	2017
Overproduction of L‐tryptophan via simultaneous feed of glucose and anthranilic acid from recombinant Escherichia coli W3110: Kinetic modeling and process … K Jing, Y Tang, C Yao, EA del Rio‐Chanona, X Ling, D Zhang Biotechnology and bioengineering 115 (2), 371-381, 2018	44	2018
Dynamic modeling and optimization of cyanobacterial C-phycocyanin production process by artificial neural network EA del Rio-Chanona, E Manirafasha, D Zhang, Q Yue, K Jing Algal Research 13, 7-15, 2016	43	2016
Chance constrained policy optimization for process control and optimization P Petsagkourakis, IO Sandoval, E Bradford, F Galvanin, D Zhang, ... Journal of Process Control 111, 35-45, 2022	42*	2022
Dynamic Simulation and Optimization for Arthrospira platensis Growth and C-Phycocyanin Production EA del Rio-Chanona, D Zhang, Y Xie, E Manirafasha, K Jing Industrial & Engineering Chemistry Research 54 (43), 10606-10614, 2015	41	2015
Optimal operation strategy for biohydrogen production EA del Rio-Chanona, P Dechatiwongse, D Zhang, GC Maitland, ... Industrial & Engineering Chemistry Research 54 (24), 6334-6343, 2015	38	2015

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