Cityscape at night

Francisco J. Delgado del Hoyo

Chief Strategy Officer

About
About
Francisco J. Delgado del Hoyo

Fransisco has a Ph.D. in Computer Science with more than 5 years of experience in research in computer vision and SLAM (Simultaneous Localization and Mapping). He graduated as a Computer Engineer at the University of Valladolid before obtaining his master’s degree in research in ICT. After completing his Ph.D. and 10 years working in an academic environment as a research assistant at the University of Valladolid, he moved to NIQ to continue his career, finding real business applications for his research and working on deep learning.

Fransisco’s current research interests involve deep learning technologies applied to product characterization and classification. In his current role, he works actively in MLOps, helping researchers to deploy in production their solutions as soon as possible. Fransisco’s other hobbies include comic books, open-source software, cool movies, and TV shows.

Publications

  • Delgado F.J., Martínez-Gonzalez M, Finat, J. An evaluation of ontology matching techniques on geospatial ontologies, International Journal of Geographical Information Science, vol 27, 12, 2013
  • Delgado F.J., Martínez R, Puche J, Finat J. Towards a client-oriented integration of construction processes and building GIS systems. Computers in Industry, vol 73, 2015.
  • Delgado F.J., Palop B, Finat J. Real-time accurate and robust Simultaneous Localization and Mapping. Proceedings of the XVIII Spanish Meeting on Computational Geometry. 2018.
  • Arroyo R., Tovar J., Delgado F.J., Almazán E.J., Serrador, D., Hurtado, A. Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories. Poster in Computer Vision and Pattern Recognition. 2019