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Nobile Amelia Giuseppina


Department of Computer Science
University of Salerno
Italy

Biography

Amelia G. Nobile graduated in Information Science in 1978 at the University of Salerno. From 1979 to 1982 he was a CNR fellow, from 1982 to 1987 he was Researcher and from 1987 to 1990 Associate Professor of Cybernetics and Information Theory at the Faculty of Science of the University of Salerno. Since 1990, he has been an Extraordinary Professor of Automatic Form Recognition for a three-year academic at the Faculty of Science of the University of Udine. Since 1993 he is Ordinary Professor of Computer Science at the University of Salerno. He currently holds the Department of Business Studies and Research (Management & Information Technology). His research interests include theory and simulation of stochastic processes with applications in biomathematical modeling and waiting file theory. The research issues addressed are comprehensible in the following: (i) construction and analysis of probabilistic models; (ii) Theoretical study of Stochastic and Gaussian stochastic processes; (iii) development of algorithms for determination of first-time probability density probabilities and relative statistics in one or more dimensions. Particular attention has been given to the formulation, analysis and comparison of various probabilistic models that describe both neural systems and service systems with adaptability characteristics, as well as patterns of population growth in a random environment. For the analysis and utilization of the various models of growth, code and neural systems, it was essential to confront various theoretical and computational problems, identifying properties that characterize large classes of stochastic processes. The research also concerned the development of efficient algorithms for determining first-cross density densities in the presence of time-varying barriers and first-pass time times for diffusive and Gaussian stochastic processes. THE' As part of the above-mentioned researches, he has collaborated with scholars from Italian and foreign Universities with whom he has been in close contact with scientific journals for a long time, and has been involved in numerous international conferences and congresses. As the scientific director of Salerno's Research Units, she has received funding from both Salerno University and MIUR (eg PRIN 1998, 2000, 2003, 2005 and 2008). He also participated in the realization of a five-year Italian-Japanese program, directed by the Italian side by prof. LM Ricciardi and for Japanese part by prof. T. Yanagida of the University of Osaka, with the patronage of Japan Science and Technology Corporation. The main achievements over the years are the subject of over 100 papers published in international scientific journals or presented in international congresses and published extensively in related acts. He has also participated in the organization of several international conferences including - "International Workshop on First Passage Time Problems and Applications" (University of Naples, Federico II, 1993); - "BIOCOMP2002: Topics in Biomathematics and Related Computational Problems at the Beginning of the Third Millennium" (Vietri sul Mare, 2002); - "BIOCOMP2005: Diffusion processes in Neurobiology and Subcellular Biology" (Vietri sul Mare, 2005); - "BIOCOMP2007: Collective Dynamics: Topics on Competition and Cooperation in the Biosciences" (Vietri sul Mare, 2007); - "Biocomp 2012: Mathematical Modeling and Computational Topics in Biosciences - Dedicated to the Memory of Professor Luigi M. Ricciardi (1942 - 2011) (Vietri sul Mare, 2012).

Research Interest

Her research interests include theory and simulation of stochastic processes with applications in biomathematical modeling and waiting file theory. The research issues addressed are comprehensible in the following: (i) construction and analysis of probabilistic models; (ii) Theoretical study of Stochastic and Gaussian stochastic processes; (iii) development of algorithms for determination of first-time probability density probabilities and relative statistics in one or more dimensions.

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