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Prof. Radu Mutihac is Chair of Medical Physics Section, University of Bucharest, and works in Neuroscience, Signal Processing, Microelectronics, and Artificial Intelligence. As postdoc/research associate/visiting professor/full professor he has run his research at the University of Bucharest, International Centre for Theoretical Physics (Italy), Ecole Polytechnique (France), Institut Henri Poincaré (France), KU Leuven (Belgium). Data mining and exploratory analysis of neuroimaging time series were addressed during two Fulbright Grants in Neuroscience (Yale University, CT, and University of New Mexico, NM, USA). His research in fused biomedical imaging modalities was carried out at the Johns Hopkins University, National Institutes of Health, and Walter Reed Army Institute of Research, MD, USA. Since 2008, Prof. Radu Mutihac has been nominated PhD supervisor in the field of Physics at the University of Bucharest, Romania. Prof. R. Mutihac is member of the ISMRM, ESMRMB, OHBM, Romanian US Alumni Association, and fellow of Signal Processing and Neural Networks Society IEEE, as well as referee for several journals of the Institute of Physics (London, UK), Neural Networks (Elsevier), IEEE Transactions on Image Processing, and evaluator/expert for the ISMRM, OHBM, ARACIS, CNCSIS, UEFISCDI, The Romanian – U.S. Fulbright Commission. and the European Commission (FP7, H2020) where, more recently, has acted as Vice-Chair in Brussels. He is scientific referee for 12 journals and Member of the Editorial Board of 5 scientific journals in the field of Neuroscience. Prof. R. Mutihac published over 120 scientific papers in reputed peer-reviewed journals, 12 monographs, and contributed with chapters in other 10 textbooks books published by renowned scientific publishing houses. He participated in more than 150 scientific meetings with posters and oral presentations, seminars, invited and plenary lectures, as well as acting as member of the organizing committees, special session organizer, chairperson, and keynote speaker.
Neuroscience, Functional Neuroimaging (fMRI, PET, SPECT), Artificial Intelligence and Machine Learning, Biostatistics, Artificial Neural Networks, Data Mining and Exploratory Data Analysis, Signal Processing, Ethics, Micro and Nanoelectronics
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