Aviv Segev is an Associate Professor in a joint appointment at the Graduate School of Knowledge Service Engineering and the School of Computing at KAIST – Korea Advanced Institute of Science and Technology. His research interest is looking for the DNA of knowledge through analysis of knowledge models in natural sciences, knowledge processing in natural and artificial neural networks, and knowledge mapping between different knowledge domains. He is the author of over 60 publications. In 2004 he received his Ph.D. from Tel-Aviv University in Technology and Information Systems.
Research Topics / Interests
Methods to model knowledge
Generalization of basic knowledge structure
Platform independent knowledge processing mechanisms
Analysis of high level knowledge processing
Identification of rules that govern knowledge activity