Members
Elvira Mayordomo is Full Professor at the University of Zaragoza since 2007, and has a Collaborator appointment with Iowa State University (USA) since 2004. She graduated in Mathematics from the University of Zaragoza in 1990 and she got a Ph.D. degree from the Department of Computer Science of the Polytechnical University of Catalonia in 1994. Her most important research stays have been at Iowa State University (USA) and at the Isaaac Newton Institute in Cambridge (UK). She has published many articles in high-impact journals in Theorerical Computer Science, including several articles in the Journal of Computer and System Sciences, SIAM Journal on Computing and Information and Computation, all in the first quartile of their category according to the impact factor as well as in high-impact journals in Bioinformatics, namely BMC Bioinformatics.
Mónica Hernández received a M.Sc. in Pure Mathematics in 2000 and a Ph.D. in Computer Sciences in 2008 from the University of Zaragoza, Spain. Her research interests are focused on the development of methods for Computer Vision and Medical Image Analysis. Her mean term scientific interest is on improving the knowledge of variational problems for computer vision and medical image analysis, with special emphasis on diffeomorphic registration. In particular, she is interested in the development of methods that provide large deformations and the study of the role of these methods in the diagnosis of pathologies.
Manuel G. Bedia holds a BSc in Physics, an MSc in Technological Innovation management and a PhD in Computer Science and Artificial Intelligence, all from the University of Salamanca (Spain). He has worked as a research fellow in the field of artificial cognitive systems in the Planning and Learning Group at the University Carlos III of Madrid, and the Multidisciplinary Institute at the University Complutense of Madrid. He has also been a visiting postdoctoral researcher at the Institute of Perception, Action and Behavior (Edinburgh, UK) and the Centre for Computational Neuroscience and Robotics at the University of Sussex (Brighton, UK). His areas of interest are mainly focused to the development of dynamical models of cognitive and embodied systems, the convergence between dynamical systems and information theory and the application of evolutionary and A-life techniques.
Gregorio de Miguel Casado received the BS degree in computer science engineering, the master’s degree in business administration, and the PhD degree from the University of Alicante, in 2001, 2003, and 2010, respectively. Since 2007, he has been an assistant professor in the Department of Computer Science and Systems Engineering, University of Zaragoza and a member of the Group of Discrete Event Systems Engineering. His current research interests include computer vision, computable analysis and computer arithmetics in scientific computing, computational biology and general artificial intelligence.