Professor Emeritus Radu Mutihac is Chair of Medical Physics, University of Bucharest, and works in Signal Processing, Microelectronics, and Artificial Intelligence. As postdoc/research associate/visiting professor/full professor he has conducted 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. Mutihac has been nominated PhD student supervisor in the field of Biophysics and Medical Physics at the University of Bucharest, Romania. Prof. 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). Prof. Mutihac published over 120 scientific papers in reputed peer-reviewed journals, 12 monographs, and contributed with chapters in other 11 textbooks 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.
Artificial Intelligence, Machine Learning, and Deep Learning Natural and Artificial Neural Networks – Modeling and Simulation Pattern Recognition and Facial Recognition Essentials of Biostatistics Data Mining and Exploratory Data Analysis Fundamentals of Neuroscience Functional Neuroimaging and Fused Imaging Modalities – fMRI, DTI, PET, SPECT, CT Neurological Disorders and Brain Dysfunction Spatiotemporal Dynamics of Brain Connectivity – Connectomics Digital Image and Signal Processing Evolutionary Computation – Simulated Annealing (SA) and Genetic Algorithms (GA) Ethics in Scientific Research Micro- and Nanoelectronics – Analysis and Design of VLSI Circuits.
All accepted abstracts will be published in respective Allied Academies Journals.
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