Manuel Garcia-Fernandez

Employment

• Universidad Europea de Madrid Professor
  2023 - Present
• Capgemini Lead Data & AI
  2019 - 2024
• Tinamica Big Data Consultant
  2017 - 2019
• CIEMAT Predoctoral Researcher
  2014 - 2017

Education

• EAE Business School Master in Project Management
  2023 - 2024
• Universidad Autonoma de Madrid Facultad de Ciencias PhD Theoretical Physics
  2014 - 2017
• Universidade de Santiago de Compostela MSc. Particle Physics
  2012 - 2013
• Universidade de Santiago de Compostela BSc. Physics
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Divergence-driven generative adversarial networks for semi-supervised anomaly detection
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2026.133834
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• ANAID: Autonomous Naturalistic Obstacle-Avoidance Interaction Dataset
  Data 2026 DOI: 10.3390/data11040077
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• ANAID: Autonomous Naturalistic Driving
  2026 DOI: 10.34740/KAGGLE/DSV/15045737
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• Determination of Galaxy Photometric Redshifts Using Conditional Generative Adversarial Networks (CGANs)
  Lecture Notes in Computer Science 2026 DOI: 10.1007/978-3-032-08462-0_6
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• Federated Learning for End-to-End Naturalistic Driving: Generalization, Stability, and Knowledge Transfer
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3738976
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• Framework for Hazardous Situations detection in Autonomous Driving
  IEEE Conference on Artificial Intelligence (CAI) 2026 DOI: 10.1109/CAI68641.2026.11536417
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• Aplicación de herramientas de Inteligencia Artificial Generativa en la docencia de la asignatura de Estadística mediante el Aprendizaje basado en Proyectos
  XIX Jornadas Internacionales de Innovación Universitaria (JIIU). Inteligencia Artificial responsable y Sostenibilidad Curricular: oportunidades y retos para la Innovación Docente 2025
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• Dark Energy Survey year 1 results: galaxy sample for BAO measurement
  M. Crocce, Ashley J. Ross, Ignacio Sevilla-Noarbe +85 more
  Monthly Notices of the Royal Astronomical Society 2019 DOI: 10.1093/mnras/sty2522
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• Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
  T. M. C. Abbott, Filipe Batoni Abdalla, Alex Alarcon +97 more
  Physical Review D 2018 DOI: 10.1103/physrevd.98.043526
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• Weak lensing magnification in the Dark Energy Survey Science Verification data
  M. Garcia-Fernandez, Eusebio Sanchez, Ignacio Sevilla-Noarbe +68 more
  Monthly Notices of the Royal Astronomical Society 2018 DOI: 10.1093/mnras/sty282
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• Weak-lensing magnification as a probe for the dark Universe
  2018
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• Dark Energy Survey year 1 results: galaxy sample for BAO measurement
  Arxiv 2017 DOI: 10.48550/arxiv.1712.06211
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• Dark energy survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
  arXiv 2017 DOI: 10.48550/arxiv.1708.01530
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• Magnification with wide-field photometric surveys
  Highlights on Spanish Astrophysics IX, Proceedings of the XII Scientific Meeting of the Spanish Astronomical Society 2016
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• Estudio de la Energía Oscura en Dark Energy Survey
  XXXV Reunión Bienal y 24º Encuentro Ibérico de Enseñanza de la Física 2015
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