Ahmed Rebai

Centre of Biotechnology of Sfax Tunisia

Prof. Ahmed Rebai received his engineer degree in Statistical Genetics in 1991 from the Institut National Agronomique de Paris-Grignon, France and his PhD from the same university in 1995 on developing methods and computational tools for genetic mapping. He is full-professor of Bioinformatics and laboratory director at the Centre of Biotechnology of Sfax (CBS) since 2008. Dr. Rebai published more than 200 journal articles, edited one book and filed three patents. According of Scopus database, Dr Rebai has 2364 citations in scientific publications and his Hirsch index is 28. Dr Rebai was awarded the National Medal (4th category) of The Tunisian Republic in Science and Education in 2006. His recent work in evolutionary biology includes the conservation of charge clusters in eukaryotic and prokaryotic proteomes and their functional annotation.

1books edited

Latest work with IntechOpen by Ahmed Rebai

Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts. The range of applications of Bayesian networks currently extends over almost all fields including engineering, biology and medicine, information and communication technologies and finance. This book is a collection of original contributions to the methodology and applications of Bayesian networks. It contains recent developments in the field and illustrates, on a sample of applications, the power of Bayesian networks in dealing the modeling of complex systems. Readers that are not familiar with this tool, but have some technical background, will find in this book all necessary theoretical and practical information on how to use and implement Bayesian networks in their own work. There is no doubt that this book constitutes a valuable resource for engineers, researchers, students and all those who are interested in discovering and experiencing the potential of this major tool of the century.

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Bayesian Network

Edited by Ahmed Rebai