Computer vision and robotics software development. Technical lead and mentor on selected projects.

Researching applications of machine learning and computer vision techniques to solve daily-life challenges. Some currently studied topics are color categorization and feature detection for face classification.

Head of the software department. In charge of designing and developing industrial end-user tools and algorithms for computer vision projects in the field of aeronautics. Design and implementation of research studies and R&D project proposals.

Torres Quevedo industrial integration program for talent promotion and employability in R&D&I. Financed by the Spanish Ministry of Science and Innovation.Project: Vision algorithms for a high-definition airworthy smart infrared camera.

- Designed and developed machine-learning algorithms to perform a radiometric and colorimetric characterization of digital cameras.- Developed a Python toolbox to process and analyze radiometric information in photographs hidden to the naked eye.- Applications focused on the field of prehistoric cave paintings for the French National Prehistory Center (Centre National de Préhistoire).

Project: Visuo-­perceptual validation methods for physically based image synthesis[1, 2, 3]. As part of the LIMA (Light Interactions Materials Aspect) National Research project.- Designed and set up experimental conditions for controlled color analysis tasks,- Performed various visual psychophysics studies with human observers, including planning, development, and data analysis,- Developed multiple algorithms for display and camera characterization, as well as for color image calibration and analysis using machine-learning techniques.PSA Department: DRD/DRIA/DSTF/SCFH (Cognitive Sciences and Human Factors)[1] Medina, Victor; Muller, Thomas; Lafon-Pham, Dominique; Paljic, Alexis; Porral, Philippe. Objective colorimetric validation of perceptually-realistic rendering: a study of paint coating materials. Journal of Electronic Imaging 25(6), 061609 (2016), doi: 10.1117/1.JEI.25.6.061609.[2] Medina, Victor; Lafon-Pham, Dominique; Paljic, Alexis; Diaz, Emmanuelle. Physically based image synthesis of materials: a methodology towards the visual comparison of physical vs. virtual samples. Proceeding of the IEEE Colour and Visual Computing Symposium (CVCS-2015), 25-26 August 2015, Gjøvik, Norway, (2015)[3] Medina, Victor; Paljic, Alexis; Lafon-Pham, Dominique. A study of image exposure for the stereoscopic visualization of sparkling materials. IS&T/STIE Electronic Imaging 2015. International Society for Optics and Photonics, 2015, pp. 93 960N–93 960N.

Developed an open-source automatic solution to generate rich interactive KML tour maps from different geotagged multimedia content sources.

A survey of techniques for depth extraction in films: Joint research at Gjøvik University College between the Game Technology Lab (http://gtl.hig.no) and the Norwegian Color Research Laboratory (http://colorlab.no/).Proposed a method to estimate the position of depth layers in stereoscopic videos from monoscopic data. Structure from motion was used to create point clouds from the video frames, measuring accuracy against Kinect point cloud data. Clustering analysis and logistic regression algorithms were then used to estimate each depth plane's position and assign a depth value to the pixels in the original frame.

Project: “A Novel Visual Saliency Model for Surveillance Video Compression” [1, 2, 3]- Adapted the H.264/AVC video codec to incorporate selective compression based on human visual saliency maps,- Performed visual psychophysics experiments to study the perception of video compression quality.[1] Medina, V.; Guraya, F.F.E.; Cheikh, F.A. Adaptive quantization based on saliency maps at macroblock level in H.264/AVC, Proc. 6th edition of Gjøvik Color Imaging Symposium (GCIS 2011), Gjøvik, Sep. 2011.[2] Guraya, F.F.E.; Medina, V. & Cheikh, F.A. Visual attention based surveillance videos compression. Color and Imaging Conference, IS&T and SID, Pages 1-8, Los Angeles, CA, USA, Nov, 2012.[3] Guraya, F.F.E.; Cheikh, F.A.; Medina, V.; A Novel Visual Saliency Model for Surveillance Video Compression, Seventh International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), 2011, pp.298-305, Nov. 28 2011-Dec. 1 2011.

Resolved payroll reporting incidences and implemented report corrections for European customers in the Nordic area.

- Provided R&D services and optimization of graphics processing pipeline for augmented reality applications,- Oversaw and contributed to creation of computer graphics (3D models and animations)

- Designed, planned, and developed intranet and corporate websites,- Delivered system administration, maintenance, user support, and training,- Provided technical support for trade missions.

- Designed, planned, developed, and maintained intranet and corporate websites,- Delivered system administration, maintenance, user support, and training.

University of Granada (UGR) ETSIIT's work group for the research and development of the latestinternet technologies.