Pablo Mesejo Santiago |
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My name is Pablo Mesejo Santiago, and I am an Associate Professor at the Department of Computer Science and Artificial Intelligence (DECSAI) of the University of Granada (UGR, Spain), one of the top institutions in computer science and engineering (ranked 1st in Spain and 76-100 in the world according to the Academic Ranking of World Universities 2024). My research primarily focuses on the development of machine learning, computer vision, and computational intelligence techniques for solving image analysis problems, especially in the biomedical imaging domain. I also explore the integration of symbolic and sub-symbolic approaches, the practical deployment of AI in high-impact domains, and the search for interpretable and robust AI solutions.
Over the years, I have worked on a wide range of challenging problems, including the automatic segmentation of anatomical structures in biomedical images (PhD at the University of Parma, Italy, as a Marie Curie Early Stage Researcher, 2010-2013), the classification of gastrointestinal lesions from endoscopic videos (postdoctoral researcher at the University of Auvergne, CNRS-affiliated lab, France, 2013-2014), and the estimation of biophysical parameters from fMRI signals (postdoc at Inria, France, 2014-2016). Later, during my starting researcher position at Inria (2016-2018), I explored the integration of deep learning into probabilistic generative models for visual and audio recognition in human-robot interaction. In 2018, I joined UGR as a Marie Curie Experienced Researcher. These Marie Curie Individual Fellowships are highly competitive grants, with a success rate of only 13.10% in the H2020-MSCA-IF-2016 call. My funded project, Skeleton-ID, focused on applying AI methods (particularly deep learning, computer vision, and evolutionary optimization) to forensic human identification through the comparison of radiographs. All this research activity continues to shape my current academic activities and has also led to the co-supervision of three PhD students: Carlos Núñez Molina ("Application of Neuro-Symbolic Artificial Intelligence to Sequential Decision Making", Defense date: 10/02/2025), Guillermo Gómez Trenado ("Disruptive Approaches Based on Deep Learning for Human Identification in Forensic Anthropology", Defense date: 18/10/2024) and Óscar David Gómez López ("Soft Computing and Computer Vision for Forensic Identification by means of Comparative Radiography", Defense date: 17/01/2020).
In parallel with my academic activities, I am a co-founding partner and Chief AI Officer at Panacea Cooperative Research, a UGR spin-off dedicated to developing intelligent systems for unmet needs in the biomedical field (primarily, legal medicine and forensic human identification). I also currently serve as vice-chair of the IEEE CIS Task Force on Evolutionary Computer Vision and Image Processing (chair from 2018-2021), and I am a member of the IEEE CIS Task Force on Evolutionary Deep Learning and Applications, the American Academy of Forensic Sciences (AAFS), and the Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI).