Dr. Andrés Camero

Tel: +49-(0) 8153 28-1033
Room:  DLR-EOC 0058
E-mail: andres.camerounzueta <at> dlr.de
More information: Google Scholar
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Artificial Intelligence researcher, passionate about solving real-world problems, with 10+ years of academic
and professional experience. Possess a strong technical background, a proven ability to work in a multicultural environment, and experience in team leadership.

Curriculum Vitae

  • July 2020 to present, Helmholtz AI Consultant Team Leader @ German Aerospace Center (DLR), https://www.helmholtz.ai/
  • July 2020 to present, Visiting Senior Scientist, Data Science in Earth Observation, TUM
  • 2017 - 2020, Researcher, Lenguages y Ciencias de la Computación, Universidad de Málaga
  • 2019 - 2019, Visiting Scientist, LIACS, Leiden Univeristy
  • 2015 - 2016, Co-funder, AIS Networks
  • 2012 - 2014, IT Project Manager, LATAM Airlines Group
  • 2012 - 2012, Research Manager, Minera Los Pelambres
  • 2010 - 2012, Customer Intelligence Project Manager, LAN Airlines
  • 2009 - 2010, Customer Intelligence Analyst, LAN Airlines

Research Projects and Grants

  • SURF: (Semi/Un)supervised machine learning flood damage assessment (2022 - 2025). Funded by Helmholtz AI Project Call 2021. Role: PI. Amount: 200K € (from total amount 400K €).

Research Interests

  • AI4EO
  • Neuroevolution
  • Evolutionary Algorithms
  • Machine Learning
  • Smart City

Key Publications

  • Camero A., Wang H, Alba E, Bäck T (2021). Bayesian Neural Architecture Search using A Training-Free Performance Metric. Applied Soft Computing, 106, pp. 107356.
  • Camero A, Toutouh J, Stolfi DH, Alba E. Evolutionary Deep Learning for Car Park Occupancy
  • Prediction in Smart Cities. In International Conference on Learning and Intelligent Optimization
    2018 (pp. 386-401). Springer, Cham.
  • Camero A, Alba E. Smart City and information technology: A review. cities. 2019 Oct 1;93:84-94.
  • Camero A, Toutouh J, Alba E. Low-cost recurrent neural network expected performance evaluation. arXiv preprint arXiv:1805.07159. 2018 May 18.
  • Camero A, Toutouh J, Alba E. Random error sampling-based recurrent neural network architecture optimization. Engineering Applications of Artificial Intelligence. 2020 Nov 1;96:103946.