MIGUEL LOZANO IBAÑEZ
PDI-Prof. Permanent Laboral Ppl
Knowledge area: COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE
Department: Computer Science
Despacho 1.2.12 ETSE-UV (Campus de Burjassot)
(9635) 43928
Biography
Dr. Lozano Ibáñez earned his Ph.D. in Computer Engineering from the University of Valencia in 2005. Under the guidance of Professor Marc Cavazza from Teesside University, UK, his doctoral research focused on AI models for multi-agent system planning. During the initial post-doctoral decade, he actively contributed to various simulation projects as a member of the GREV (Grupo de Redes y Entornos Virtuales) at the University of Valencia. His primary research areas during this period included Machine Learning techniques for Multiagent systems applied to simulate artificial pedestrian groups or crowds (MARL-Ped), Multiscale simulation computer architectures, and Coordination Models for Multiagent Systems (MADEM).
Currently, Dr. Lozano is serving as an Associate Professor at the School of Engineering at the University of Valencia (ETSE). Since 2016, he has been an integral part of the CoMMLab research group, collaborating with Dr. Rafael Sebastian on Electro-Physiology models for patient-specific simulations in cardiology. Over these years, Dr. Lozano has significantly contributed to enhancing the research impact of the CoMMLab group. He has supervised 8 MSc theses and 4 Ph.D. theses (with 2 currently in progress) in the area of AI models for computational cardiology. Additionally, he has actively participated in more than 10 national research projects. Recently, Dr. Lozano directed the 'ECTOPIC' project for ectopics's foci location.
He is the author of over 50 scientific and educational publications and holds the role of a recognized reviewer for various simulation journals, including Simulation Modeling Practice and Theory (Elsevier) and Nature (Scientific Data, 5-year Impact Factor - 10.8), among others.
Subjects taught and teaching methods
Academic training
Journal Publications
Other publications
Participations in Conferences
Angel Rodriguez-Cerro; Miguel Lozano; Ignacio Garcia-Fernandez; Rafael J. Martinez Durá (2015). Performance evaluation of discontinuity tracking in vector fields for avalanche simulation. (Paper). 29th European Simulation and Modelling Conference, ESM'2015 Proceedings (not yet published) . Leicester . UNITED KINGDOM
C. Monteagudo; M. Lozano; I. García-Fernández; F. Martinez-Gil (2016). Phase Space Data-Driven Simulation of Elastic Materials. (Paper). Congreso Español de Informática Gráfica . SPAIN
C. Rodero; P. Real; P. Zuñeda; C. Monteagudo; M. Lozano; I. García-Fernández (2016). Characterisation of Position Based Dynamics for Elastic Materials. (Paper). Congreso español de informática gráfica . SPAIN
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2016). Inverse estimation of terminal connections in the cardiac conduction system. (Paper). International Conference on Computational and Mathematical Methods in Science and Engineering . SPAIN
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2016). Automatic location of sources of electrical activation from electrophysiology maps. (Poster). Computing in Cardiology Computing in Cardiology, Vol. 43, pp. 445-448 . Vancouver . CANADA
Fernando Barber; Miguel Lozano; Ignacio García-Fernández; Rafael Sebastian (2017). Inverse estimation of the cardiac conduction system. (Paper). Congreso de Jóvenes Investigadores de la RSME . Valencia . SPAIN
F. Barber; M. Lozano; I. García-Fernández; R. Sebastian (2017). Estimation of Location and Activation Time of Purkinje Myocardial Junctions from Sparse and Noisy Endocardial Electrical Samples. (Poster). Computing in Cardiology Computing in Cardiology, Vol. 44, pp. XXX,YYY . Rennes . FRANCE
Eduardo J Godoy; Miguel Lozano; Ana Ferrer; Ignacio Garcia-Fernandez; Javier Saiz; Rafael Sebastian (2017). A Machine Learning Pipeline for detection of Atrial Ectopic Focus Location in Patients with different Densities of Left Atrial Fibrosis. (Poster). Atrial Signals 2017 . Valencia . SPAIN
Godoy E; Ferrer-Albero A; Lozano M; Garcia-Fernandez I; MacLeod R; Saiz J; Sebastian R (2018). Effect of fibrosis on BSPM of patients with focal atrial tachycardia. (Paper). Virtual Physiological Human Conference . Zaragoza . SPAIN
Godoy E; Lozano M; Garcia-Fernandez I; Sebastian R (2018). Combining Biophysical Modeling and Machine Learning to predict location of atrial Ectopic Triggers. (Paper). XLV Computing in Cardiology Conference Proceeding Computing in Cardiology, Vol 45 . Maastricht . NETHERLANDS
Patents, Software and Database
Martínez Durá, Rafael Javier Martín Quetglás, Gregorio Fernández Marín, Marcos Lozano Ibañez, Miguel Serón Alberola, Francisco José Brazález Guerra, Alfonso, Ref. P9900509. Simulador de Grúa de Carga y Descarga. SPAIN. 2003.
Martínez Durá, Rafael Javier Martín Quetglás, Gregorio Fernández Marín, Marcos Lozano Ibañez, Miguel Serón Alberola, Francisco José Brazález Guerra, Alfonso, Ref. P9902503. Perfeccionamientos Introducidos en la Patente de Invención N. 9900509 por 'Simulador de Grúa de Carga y Descarga'. SPAIN. 2003.
Projects
Localización por computador de focos ectópicos en el tracto de salida del ventrículo derecho a partir de mapas electroanatómicos (BIOCLINIC ). 2017 - 2018. Universidad de Valladolid. Fundacion Investigación Hospital Clinic de Valencia. Instituto de Investigación Sanitaria INCLIVA. Universidad de Valencia. PI: Miguel Lozano Ibáñez, Francisco Javier Chorro Gasco.
Predicción in silico del efecto de prótesis valvular para planificación y optimización de la terapia (BIOMED ). 2018 - 2019. Universitat de València. Instituto de Investigación Sanitaria. Fundación para la Investigación Hospital la Fe. PI: Ignacio García Fernández.
Realización de simulaciones de fluido incompresible en un conducto (). 2018 - 2019. BIOMED. . PI: Ignacio García Fernández.
DeSSaValve. Patient-Specific Modelling of the Aortic valve replacement: Advance towards a Decision Support System (). 2016 - 2018. Centro de Investigación Biomédica en Red (CIBER). . PI: Ignacio Garcia Fernandez.
psValve. Patient-Specific image-based computational flow dynamic simulations for assessment of optimal biological aortic Valve replacement selection and delivery (). 2014 - 2015. Centro de Investigación Biomédica en Red (CIBER). . PI: Rafael Sebastian Aguilar.
CARACTERIZACION Y DIAGNOSTICO NO INVASIVO DE ARRITMIAS CARDIACAS MEDIANTE MODELADO COMPUTACIONAL 3D ANATOMO-FUNCIONAL DEL CORAZON Y TORSO HUMANO (). 2015 - 2017. Ministerio de Economía y Competitividad. . PI: Rafael Sebastian Aguilar.
Caracterización y diagnóstico no invasivo de arritmias cardiacas mediante modelado computacional 3D anatomo-funcional del corazón y torso humano (Proyectos de Investigación del Plan Nacional de I+D+I). 2015 - 2018. Ministerio de Economía y Competitividad. . PI: Rafael Sebastian Aguilar.
Caracterización y diagnóstico no invasivo de arritmias cardíacas mediante modelado computacional 3D anatomo-funcional del corazon y torso humano (). 2016 - 2018. Ministerio de Economía y Competitividad. . PI: Rafael Sebastián Aguilar.
PROFESSIONAL ADVICE IN THE FIELD OF CROWD SIMULATION. Assessing and improving solutions for a software module of pedestrians navigation for the ToolChefs company (). 2021 - 2022. ToolChefs. . PI: Francisco Martínez Gil, Miguel Lozano, Ignacio García.
Risk Stratification for Cardiac Arrhythmia based on Fibrosis and Scar-Specific Simulations (scaRisk) (). 2023. Generalitat Valenciana. . PI: Rafael Sebastian Aguilar.
Thesis, minor thesis and research reports
Miguel Lozano Ibáñez, (2005). Animación comportamental de personajes inteligentes 3D basada en MINIMIN-HSP (Heuristic Search Planning). (Doctoral Thesis). Universitat de Valencia..
Grimaldo Moreno, Francisco, (2008). Integració d'habilitats socials en l'animació comportamental d'actors sintètics. (Doctoral Thesis). Universitat de València..
Guillermo Vigueras González, (2011). Performance Improvements of Interactive Crowd Simulations. (Doctoral Thesis). Universitat de València..
Francisco A. Martinez-Gil, (2014). Reinforcement learning in a multiagent framework for pedestrian simulation. (Doctoral Thesis). UVEG..
Eduardo Jorge Godoy, (2020). A Computational Based Approach for Non-invasive Localization of Atrial ectopic foci. (Doctoral Thesis). Valencia..