Team Leader for a group of 8 Researchers/Developers. Set Strategy and Direction for the group. Research/Design/Program video analytics combining the power of Deep Learning and Classical Computer Vision.

Degree in Food Sciences and Gastronomy.Lecturing on Ingredient Networks applied to Computational Gastronomy, and on 3D Food Printing technologies.

Computer Vision.3D-Scanner.Object detection and classification (wrinkles + acne) using Deep Learning (Fast RCNN + transfer learning), for Personalized Cosmetic Masks printing.Multiple QR decoding in very adverse lighting conditions on cylindrical surfaces.

Lecturer: LEAN STARTUP and OPEN INNOVATION courses.

I managed the full team for the Appetit Project. The Team included researchers, designers, software developers, and resident cooks.Appetit is an inspirational tool for Chefs and Foodies, which harnesses the power of Big Data, by analyzing hundreds of thousands of recipes, in order to create a powerful Ingredient Network. An easy to use User Interface allows for easy interaction by end users, in order to browse the curated database of over 1,000 ingredients, and retrieve ingredient recommendations for their new culinary creations.Please test Appetit at: http://appetit.lab.tid.es/appetit/#/This work was presented at the First Food and Data Workshop, at the University of Illinois Urbana-Champaign.Appetit has recently been transferred to the University of Barcelona (see below).

Innovation Projects, and Mentorship of MBA groups at the Telefonica Corporate University. Covering the areas of Innovation, Creativity, Lean Startup, Business Model Canvas.

Leading Open Innovation projects with the leaders of the industry, including: Nokia, Inditex, LEGO, ElBulliFoundation, Eroski, RACC, Aigües de Barcelona, and with Futbol Club Barcelona, with whom we created the Soccer Science Lab.I managed the Digital Food Lab, in partnership with ElBulliFoundation. Wwe started co-developing newtechnologies, both to help Cooks and Foodies in the area of creativity forGastronomy, and also in the Bullipedia project. I have a team ofdevelopers and designers working on site at ElBulli Lab.I presented the Soccer Science Lab, which focuses on the application of Big Data to Soccer Analysis, at the World Open Innovation Conference in Barcelona. December 2016.Leading the Art and Technology Program. Working with Laboral de Gijon on the NextThings global challenge, and with Fundacion Telefonica on the VIDA Art and Artificial Life International Awards. I presented this work at La Biennale di Venezia, and at the Smart City Expo World Congress, in Barcelona.Leading the Early Innovation program: 10Fridays, i.e., 20% time off, where Telefonica employees can proposer and mature their own ideas, using Lean Startup methodologies, over a period of 10 fridays.

Multimedia Analysis and Understanding research.Research on Machine Learning based Automatic Media (photo/video) selection for automatic storytelling out of large collections of photos.Machine Learning applied to Photo and Video Aesthetics prediction.Video near duplicate detection.

Manager of the Photo Research Project, which focused on Computational Photography algorithms to be embedded in HP´s digital cameras, like the automatic photo stitching, high dynamic range, print from video, photo and video cartooning, etc.Managed the relationship with Warner Brothers, for an Open Innovation project on Automatic Film Restoration.Research on Joint Imaging Pipeline for Photo-Video cameras.Research on Photography aesthetics prediction.Research on Multimedia Search, Retrieval and Browsing.

Research and Development on Image Compression.Development of a novel imaging pipeline for Large Format Printers.

Research on image and video compression

Researcher and Developer. Responsible for the design of a Power Line Carrier (PLC) high speed modem. Both Hardware and Firmware Algorithms.