معرفی
Monica Bianchini is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, where she has been since 1999. Her academic journey began at the University of Florence, where she earned her Laurea cum laude in Mathematics and later completed her Ph.D. in Computer Science. She has maintained a strong research presence in artificial intelligence and machine learning throughout her career.
Research Interests: Her work focuses on machine learning, particularly neural networks for structured data, deep learning, approximation theory, information retrieval, bioinformatics, and image processing. She has contributed extensively to theoretical and applied aspects of these fields, publishing over seventy papers and editing special issues and books in top-tier journals.
The trends in her research, reflected in her long-standing involvement in machine learning and pattern recognition, demonstrate a consistent focus on advancing neural computation and its applications across domains such as healthcare and data science. Her editorial roles and conference participation further highlight her influence in shaping discourse in AI and computational intelligence.
- Associate Editor, IEEE Transactions on Neural Networks (2003–2009)
- Associate Editor, Neurocomputing (from 2002)
- Associate Editor, International Journal of Computers in Healthcare (from 2010)
- Permanent member, Editorial Board of IJCNN, ICANN, ICPR, ICPRAM, ESANN, ANNPR, KES
She has advised numerous research projects funded by the Italian Ministry of Education (MIUR) and the University of Siena (PAR scheme), though specific advisees are not listed. Her leadership in organizing key scientific events such as the NATO Advanced Workshop on Neural Computation (2001), AI*IA 2002, GIRPR 2012, LOPSTR 2015, and ACM Computing Frontiers (2017) underscores her active role in the international research community.
Monica Bianchini is a core member of SAILab (Siena Artificial Intelligence Lab), a research group dedicated to advancing AI methodologies and applications, where she contributes to collaborative projects, mentorship, and innovation in intelligent systems.
