Pablo Mesejo Santiago

My name is Pablo Mesejo Santiago and I currently hold a Marie Curie Experienced Researcher position at the University of Granada (Spain), one of the [top institutions in computer science and engineering](http://www.shanghairanking.com/Shanghairanking-Subject-Rankings/computer-science-engineering.html). My principal research areas of interest are computer vision, machine learning and computational intelligence methods applied to image analysis problems (mainly in the biomedical domain). Typical tools I use in my research are stochastic optimization algorithms, deep and shallow neural networks, and ensemble classifiers. 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). More information about me and my publications can be found in the following links: [Google Scholar](https://scholar.google.com/citations?user=dUlIWxcAAAAJ), [ORCID](http://orcid.org/0000-0001-9955-2101), [Linkedin](https://fr.linkedin.com/pub/pablo-mesejo-santiago/54/348/71b/en), [DBLP](http://dblp.uni-trier.de/pers/hd/m/Mesejo:Pablo), [ResearchGate](https://www.researchgate.net/profile/Pablo_Mesejo) and [ResearcherID](http://www.researcherid.com/ProfileView.action?SID=V24kpAPPEKmBvYjOeqa&returnCode=ROUTER.Success&queryString=KG0UuZjN5WkwsNoH4O%252BEmmn%252FPULU3%252FDZxELZtBub7fk%253D&SrcApp=CR&Init=Yes).

My name is Pablo Mesejo Santiago and I currently hold a Marie Curie Experienced Researcher position at the University of Granada (Spain), one of the [top institutions in computer science and engineering](http://www.shanghairanking.com/Shanghairanking-Subject-Rankings/computer-science-engineering.html). My principal research areas of interest are computer vision, machine learning and computational intelligence methods applied to image analysis problems (mainly in the biomedical domain). Typical tools I use in my research are stochastic optimization algorithms, deep and shallow neural networks, and ensemble classifiers. 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). More information about me and my publications can be found in the following links: [Google Scholar](https://scholar.google.com/citations?user=dUlIWxcAAAAJ), [ORCID](http://orcid.org/0000-0001-9955-2101), [Linkedin](https://fr.linkedin.com/pub/pablo-mesejo-santiago/54/348/71b/en), [DBLP](http://dblp.uni-trier.de/pers/hd/m/Mesejo:Pablo), [ResearchGate](https://www.researchgate.net/profile/Pablo_Mesejo) and [ResearcherID](http://www.researcherid.com/ProfileView.action?SID=V24kpAPPEKmBvYjOeqa&returnCode=ROUTER.Success&queryString=KG0UuZjN5WkwsNoH4O%252BEmmn%252FPULU3%252FDZxELZtBub7fk%253D&SrcApp=CR&Init=Yes).