Dr. Andres Camero

Tel: | +49-(0) 8153 28-1033 |
Room: | DLR-EOC 0058 |
E-mail: | andres.camerounzueta <at> dlr.de |
Curriculum Vitae
- July 2020 - to present, HAICU Coordinator, Department of Earth Observation Data Science, German Aerospace Center (DLR)
- Jan 2017 - May 2020, Research Assistant, Lenguages y Ciencias de la Computación, Universidad de Málaga, http://neo.lcc.uma.es
- Sep 2019 - Nov 2019, Visiting Scientist, LIACS, Leiden Univeristy, https://liacs.leidenuniv.nl
- May 2015 - Oct 2016, Co-funder, AIS Networks, https://ais-networks.com
- Jul 2012 - Apr 2014, IT Project Manager, LATAM Airlines Group, https://www.latam.com
- Mar 2012 - Jun 2012, Research Manager, Minera Los Pelambres, http://web.pelambres.cl
- Dec 2010 - Mar 2012, Customer Intelligence Project Manager, LAN Airlines, http://www.lan.com
- Apr 2009 - Dec 2010, Customer Intelligence Analyst, LAN Airlines, http://www.lan.com
- Mar 2005 - Aug 2009, Undergraduate Teaching Assistant, Pontificia Universidad Católica de Chile, http://www.uc.cl
Research Interests
- AI4EO
- Neuroevolution
- Evolutionary Algorithms
- Machine Learning
- Smart City
Key Publications
- Camero A, Arellano-Verdejo J, Alba E. Road map partitioning for routing by using a micro steady
state evolutionary algorithm. Engineering Applications of Artificial Intelligence. 2018 May
31;71:155-65. - Camero A, Luque G, Bravo Y, Alba E. Customer Segmentation Based on the Electricity Demand
Signature: The Andalusian Case. Energies. 2018;11(7):1-4. - 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.