Monica Bianchini

Monica Bianchini received the Laurea cum laude in Mathematics and the Ph.D. degree in Computer Science from the University of Florence, Italy, in 1989 and 1995, respectively. After receiving the Laurea, for two years, she was involved in a joint project of Bull HN Italia and the Department of Mathematics (University of Florence), aimed at designing parallel software for solving differential equations. From 1992 to 1998, she was a Ph.D. student and a Postdoc Fellow with the Computer Science Department of the University of Florence. Since 1999, she has been with the University of Siena, where she is currently an Associate Professor at the Information Engineering and Mathematics Department.

Monica’s main research interest are in the field of machine learning, with emphasis on neural networks for structured data, deep learning, approximation theory, information retrieval, bioinformatics, and image processing. M. Bianchini has authored more than seventy papers, and has been the editor of books and special issues on international journals in her research field. She has been a participant in many research projects focused on machine learning and pattern recognition, founded by both Italian Ministry of Education (MIUR), and University of Siena (PAR scheme).

M. Bianchini has been involved in the organization of several scientific events, including the NATO Advanced Workshop on Limitations and Future Trends in Neural Computation (2001), the 8th AI*IA Conference (2002), the GIRPR 2012 Conference, the 25th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2015), and the ACM International Conference on Computing Frontiers (2017).

Prof. Bianchini served as an Associate Editor for IEEE Transactions on Neural Networks (2003-09), Neurocomputing (from 2002), and Int. J. of Computers in Healthcare (from 2010). She is a permanent member of the Editorial Board of IJCNN, ICANN, ICPR, ICPRAM, ESANN, ANNPR and KES.

The┬ácomplete list of Monica’s publications can be found on her Google scholar profile.