Prof. 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 one hundred and thirty 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. Prof. 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 ACM International Conference on Computing Frontiers (2017), and the International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2021-22-23).Prof. Bianchini served as an Associate Editor for IEEE Transactions on Neural Networks (2003-09), Neuro computing (from 2002), and Int. J. ofComputers in Healthcare (from 2010). She is a permanent member of the Editorial Board of IJCNN, ICANN, ICPR, ICPRAM, ESANN, ANNPR, PerConAI,NCTA, and KES.