UGR / ETSIIT / DECSAI / SCI2S / Dr. Pablo Mesejo
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Pablo Mesejo Santiago

Pablo Mesejo
Email: pmesejo<AT>ugr<DOT>es
pmesejo<AT>decsai<DOT>ugr<DOT>es
pablomesejo<AT>gmail<DOT>com
Tel.: +34 628 43 97 98
Address: Edificio Auxiliar ETSIIT
ETS de Ingenierías Informática y de Telecomunicación
Universidad de Granada
C/ Periodista Juan Osorio Bueno
18014 Granada
SPAIN
Office: 1.10

My name is Pablo Mesejo Santiago and I hold a Marie Curie Experienced Researcher position at the University of Granada (UGR, 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, Italy, performed as a Marie Curie Early Stage Researcher, 2010-13), the classification of gastrointestinal lesions from endoscopic videos (postdoc at University of Auvergne, France, in a research lab belonging to CNRS, 2013-14), the estimation of biophysical parameters from fMRI signals (postdoc at Inria, France, 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 (Skeleton-ID) specifically deals with the application of soft computing and computer vision techniques for the comparison of radiographs in forensic identification. I am co-founder, partner and R&D co-director of Panacea Cooperative Research (a newly-created SME, and UGR spin-off, focused on finding intelligent solutions to solve unmet biomedical needs). I am also chair of the IEEE Computational Intelligence Society (CIS) Task Force on Evolutionary Computer Vision and Image Processing, member of the IEEE CIS Task Force on Evolutionary Deep Learning and Applications, and member of the Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI).

  

  

Last update: 2020-04-29