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The majority of my research career has focused on Soft Computing (SC, aimed for the design of intelligent systems to process uncertain, imprecise, and incomplete information) and its application to solve Computer Vision (CV) problems. My final goal is to develop hybrid (SC and CV) intelligent system tackling real problems with social and industrial importance and impact.
Among the different real problems I have tackled during my research career (in fields such as ocean engineering, industrial processes, medical imaging, neuroscience) the research performed during my PhD thesis has opened up an uncharted area thanks to the promising results obtained in the application of hybrid SC and CV methods to the FA field. I have set techniques dealing with the automatic comparison of images of different objects (post-mortem skull and ante-mortem face photographs) taken under different conditions while accounting at the same time with the uncertainty inherent to the problem. This research line is evolving to a complete identification system (including decision making) called SKELETON-ID (to be commercialized in 2019 by PANACEA). This has challenged the visual inspection procedure traditionally followed in the current identification techniques in Forensic Anthropology. This significant success, although restricted still to a very narrow application field (Craniofacial Superimposition), indicates a huge potentiality to ambitiously pursue the development of SC- and CV-based techniques in broader number of Forensic Anthropoloy challenges as comparative radiography or biological profile determination.
Within this research field, I defended the first PhD on automatic craniofacial superimposition and co-supervised two additional PhDs in the same topic. I was the technical director of extinct Face2Skull commercial product and scientific co-coordinator of MEPROCS European project. As a result I am the researcher with a larger number of publications in the field of craniofacial superimposition (21 JCR-indexed journal articles and 30 articles in other journals, book chapters and conference proceedings). While the majority of those articles were published in either top-10 or Q1 ranked journals in the field of Computer Science, eight of them have been published in JCR-indexed Forensic Anthropology journals, what demonstrated the contributions of my research to both research communities. Additionally, I am currently supervising a PhD dealing with automatic Comparative Radiography (one journal patent recently submitted and three journal papers submitted) and I am one of the Principal Investigators of an EU project target for the same field of research. Similarly, I am also involved in another EU project proposal (again a Marie Curie Individual Fellowship) dealing with age estimation. Finally, I have recently begun to apply the same family of artificial intelligence techniques to other subfields within forensic sciences: facial identification, age estimation and firearms identification. I made use of my profound knowledge and experience on Artificial Intelligence techniques and their application to forensic sciences to yearly teach one subject about Computational Forensics in an official Master programme at the University of Granada, and to disseminate it to a broader and heterogeneous public in consecutive editions of the week of science (16 to 17 years old students from college) and the night of researchers (talks in a centric street in Granada to the general public).
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