My name is Pablo Mesejo Santiago and I hold a Marie Curie Experienced Researcher position at the University of Granada (Spain).

The main topic of my research is the analysis and design of machine learning, computer vision and computational intelligence methods able to solve biomedical image analysis problems. During my career I have tackled numerous challenging problems, e.g. the automatic segmentation of anatomical structures in biomedical images (PhD at University of Parma, performed as a Marie Curie Early Stage Researcher, 2010-13), the classification of gastrointestinal lesions from endoscopic videos (postdoc at University of Auvergne Clermont-Ferrand I, 2013-14), the estimation of biophysical parameters from fMRI signals (postdoc at Inria, 2014-16), and the integration of deep learning into probabilistic generative models for visual and audio recognition in human-robot interaction (starting researcher position at Inria, 2016-18).

With respect to my current position, it is worth mentioning that Marie Curie Standard Individual Fellowships are highly competitive research grants that present a 13.10% success rate (in the H2020-MSCA-IF-2016 call). In turn, the UGR is one of the top institutions in computer science and engineering (ranked 1st in Spain and 33rd  in the world according to the Academic Ranking of World Universities 2017). My Marie Curie proposal specifically deals with soft computing and computer vision for comparative radiography in forensic identification.

I am also co-founder and collaborator of PANACEA cooperative research (a newly-created SME focused on finding intelligent solutions aimed at solving unmet biomedical needs), and I am chair of the IEEE Computational Intelligence Society Task Force on Evolutionary Computer Vision and Image Processing.

Pablo Mesejo Santiago,
Dec 15, 2016, 5:33 AM