Ángel Manuel Ramos del Olmo

Catedrático de Universidad (Professor)
Department of Applied Mathematics and Mathematical Analysis
School of Mathematical Sciences
Complutense University of Madrid
Research Group MOMAT
Programme MOMAT-IA

Bio

Director of IMI since November 22nd, 2016. Full Professor at Complutense University of Madrid since 2018. PhD in Applied Mathematics since 1996. Academic visitor at University of Oxford (10,5 months) and at Institut National de Recherche en Informatique et en Automatique (Paris-Rocquencourt, France, 6 months). Researcher at Dassault Aviation (Paris, France, 3 months). Postdoctoral researcher at University of Houston (9 months).

Research interests

Mathematical modeling, analysis, optimization and simulation in Science, Technology and Industrial applications, mainly using Partial Differential Equations. Main fields of interests and applications: Epidemics, oil spills, lithium batteries, bioreactors.

Latest Publications

R. Ferrández, B. Ivorra, J. L. Redondo, Á. M. Ramos, Pilar M. Ortigosa. A multi-objective approach to identify parameters of compartmental epidemiological models—Application to Ebola Virus Disease epidemics. Communications in Nonlinear Science and Numerical Simulation, 2023, 120, Article number 107165. https://doi.org/10.1016/j.cnsns.2023.107165
M.A. Capistrán, J. A. Infante, A. M. Ramos, J. M. Rey. Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union. Applied Mathematical Modelling, Vol 122, pp 187-199. DOI link: https://doi.org/10.1016/j.apm.2023.05.027.
A. M. Ramos, Nash Equilibria Strategies and Equivalent Single-Objective Optimization Problems. The Case of Linear Partial Differential Equations.Applied Mathematics & Optimization, Vol. 87, Article Number: 30, 2023. https://doi.org/10.1007/s00245-022-09944-2.
M. Capistrán, J.A. Infante and A.M. Ramos, Thermal uncertainty analysis of a single particle model for a Lithium-Ion cell. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 2023, 117:64. https://doi.org/10.1007/s13398-022-01340-3
A. B. Kubik, M. R. Ferrández, M. Vela-Pérez, B. Ivorra, A. M. Ramos, Modelling the COVID-19 pandemic: variants and vaccines. In Proceedings of The 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022, 5-9 June 2022, Oslo, Norway. https://www.scipedia.com/public/Kubik_et_al_2022a
R. Seck, D. Ngom, B. Ivorra, A. M. Ramos. An optimal control model to design strategies for reducing the spread of the Ebola Virus Disease. Mathematical Biosciences and Engineering. 2022, 19(2), 1746 - 1774. DOI link: https://doi.org/10.3934/mbe.2022082
S. Barroso-Arévalo, A. Barneto, A. M. Ramos, B. Rivera, R. Sánchez, L- Sánchez-Morales, M. Pérez-Sancho, A. Buendía, E. Ferreras, J. C. Ortiz-Menéndez, I. Moreno, C. Serres, C. Vela, M. A. Risalde, L. Domínguez, J. M. Sánchez-Vizcaíno. Large-scale study on virological and serological prevalence of SARS-CoV-2 in cats and dogs in Spain. Transboundary and Emerging Diseases. 2021, https://doi.org/10.1111/tbed.14366
B. Ivorra, S. Gómez, J. Carrera, A. M. Ramos. A Compositional Eulerian Approach for Modelling Oil Spills in the Sea. Ocean Engineering. 2021, 242, 110096. DOI link: https://doi.org/10.1016/j.oceaneng.2021.110096
G. W. Richardson, J. M. Foster, R. Ranom, C. P. Please and A. M. Ramos. Charge transport modelling of Lithium-ion batteries. European Journal of Applied Mathematics. 2021. DOI link: https://doi.org/10.1017/S0956792521000292
A. M. Ramos, M.R. Ferrández, M. Vela-Pérez, A. B. Kubik and B. Ivorra. A simple but complex enough θthetaθ-SIR type model to be used with COVID-19 real data. Application to the case of Italy. Accepted for publication in Physica D: Nonlinear Phenomena. DOI link: https://doi.org/10.1016/j.physd.2020.132839. Research Gate Preprint, 2020. DOI link: https://doi.org/10.13140/RG.2.2.32466.17601
M. R. Ferrández, J. L. Redondo, B. Ivorra, A. M. Ramos, P. M. Ortigosa, B. Paechter. Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes. Engineering Optimization. 2020, 52, 5, 896-913. https://doi.org/10.1080/0305215X.2019.1618289
B. Ivorra, M.R. Ferrández, M. Vela-Pérez and A. M. Ramos, Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China. Communications in Nonlinear Science and Numerical Simulation, Vol. 88, 2020, 105303, DOI link: https://doi.org/10.1016/j.cnsns.2020.105303. Preprint, 1 April 2020: https://doi.org/10.13140/RG.2.2.21543.29604
B. Ivorra, D. Ngom, A.M. Ramos. Stability and sensitivity analysis of epidemiological model Be-CoDiS predicting the spread of human diseases between countries. Electronic Journal of Differential Equations. 62, 1--29. ISSN: 1072-6691, 2020. https://ejde.math.txstate.edu/Volumes/2020/62/ivorra.pdf
M. R. Ferrández, J. L. Redondo, B. Ivorra, A. M. Ramos, P. M. Ortigosa, B. Paechter. Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes. Engineering Optimization (2019). https://doi.org/10.1080/0305215X.2019.1618289
M. Crespo, B. Ivorra, A. M. Ramos, A. Rapaport, Shape Optimization of spatial chemostat models. Electronic Journal of Differential Equations, ISSN: 1072-6691, Vol. 2019 (2019), No. 84, pp. 1--26. https://ejde.math.txstate.edu/Volumes/2019/84/crespo.pdf
J. I. Díaz, D. Gómez-Castro, A. M. Ramos, On the well-posedness of a multiscale mathematical model for Lithium-ion batteries. Advances in Nonlinear Analysys, ISSN: 2191-9496, 2019; 8: 1132--1157. DOI link: https://doi.org/10.1515/anona-2018-0041.
M. R. Ferrández, B. Ivorra, J. L. Redondo, A. M. Ramos and P.M. Ortigosa. Predicting The Spread Of Epidemiological Diseases By Using A Multi-Objective Algorithm. AIP Conference Proceedings 2070, 020016 (2019). DOI link: https://doi.org/10.1063/1.5089983.
M. R. Ferrández, S. Puertas-Martín, J. L. Redondo, B. Ivorra, A. M. Ramos y P. M. Ortigosa. High-Performance Computing for the Optimization of High-Pressure Thermal treatments in Food Industry. Journal of Supercomputing, ISSN: 0920-8542. Vol 75, Pages 1187-1202, 2019. DOI link: https://doi.org/10.1007/s11227-018-2351-4. Open link: http://rdcu.be/KzRM
M. R. Ferrández, J. L. Redondo, B. Ivorra, A. M. Ramos, P.M. Ortigosa, Preference-based multi-objectivization applied to decision support for High-Pressure Thermal processes in food treatment. Applied Soft Computing, 79 (2019), 326,340. https://doi.org/10.1016/j.asoc.2019.03.050
J. Herrera, B. Ivorra and A. M. Ramos, An Algorithm for Solving a Class of Multi-Players Feedback Nash Differential Games. Mathematical Problems in Engineering. ISSN: 1024-123X. Volume 2019, Article ID 1417275, 14 pages. https://doi.org/10.1155/2019/1417275
A. M. Ramos, Modelling weeks in Spain. The case of Complutense University of Madrid. ICIAM 2019 Valencia Intelligencer. Springer, 2019, pp. 83--84.
M.R. Ferrández, B. Ivorra, P.M. Ortigosa, A.M. Ramos and J.L. Redondo, Application of the Be-CoDiS model to the 2018-19 Ebola Virus Disease outbreak in the Democratic Republic of Congo. Technical Report. Research Gate, (23 july 2019); https://doi.org/10.13140/RG.2.2.13267.63521/2
M.R. Ferrández, B. Ivorra and A.M. Ramos. Validation of the forecasts for the spread of the Ebola virus disease 2018-20 (EVD 2018-20) done with the Be-CoDiS mathematical model. Technical Report. Research Gate, (23 February 2020); https://doi.org/10.13140/RG.2.2.34877.00485
M.R. Ferrández, B. Ivorra and A.M. Ramos. Final validation of the forecast for the spread of the Ebola virus disease 2018-20 (EVD 2018-20) done with the Be-CoDiS mathematical model. Technical Report. Research Gate, (17 July 2020); https://doi.org/10.13140/RG.2.2.28275.14881
A. Garrido, J.M. Sumpsi, I. Bardají, M. Martínez, M.I. Mínguez, C. Hernández, L. Rodriguez, A.M. Tarquis, R.M. Benito, E. Luque, J.M. Sánchez-Vizcaíno, J. Goyache, M. Martínez, A.M. Ramos, J.L. Sierra, J.M. López, E. Fernández-Carrión, B. Villa, L. Rico and R. Vargas. Information Systems for Agricultural Risk Management. Assessment in 7 Africa Countries. Cabo Verde, Cameroon, Ethiopia, Mozambique, Niger, Senegal and Uganda. Executive Summary ReporOctober 2016. Report for IFAD (United Natiions - UN). Available at http://p4arm.org/app/uploads/2017/01/PARM_IS-ARM_Executive-Summary-Report_web.pdf
E. Herrera, R. Lemuz, C. Guillén and Á.M. Ramos, Introducción al problema inverso electrocardiográfico. Research in Computing Science, ISSN: 1870-4069, 128 (2016), 38-48.
B. Ivorra, D. Ngom and A.M. Ramos, Be-CoDiS: A deterministic mathematical model to predict the risk of human diseases spread between countries. Application to the 2014-15 Ebola Virus Disease epidemic. In Proceedings of the XXIV Congress on Differential Equations and Applications / XIV Congress on Applied Mathematics– Cádiz, June 8-12, 2015. (Editors: J.M. Díaz Moreno, J.C. Díaz Moreno, C. García Vázquez, J. Medina Moreno, F. Ortegón Gallego, C. Pérez Martínez, M.V. Redondo Neble and J.R. Rodríguez Galván), pp. 114-120, 2015. Available online: http://cedya2015.uca.es/cedya2015proceedings
A.M. Ramos, Introducción al análisis matemático del método de elementos finitos. Editorial Complutense. 2012. ISBN (paper book): 9788499381282. ISBN (e-book): 9788499381299
J. Henry, B. Louro and A.M. Ramos, A Factorization Method for a Singular Perturbation Problem. 23rd IFIP TC 7 Conference on System Modelling and Optimization Cracow, Poland, July 23-27, 2007. Book of Abstracts. Published by Wydawnictwa Wydzialu Elektrotechniki, Automatyki, Informatyki i Elektroniki Akademia Górniczo-Hutnicza, Poland. ISBN 978-83-88309-0. Kraków, 2007. pp. 315--316.