Bruno Apolloni is full professor in Computer Science at the Department of Computer Science of the Milan University, Italy.
His main research interests are in the frontier area between probability, mathematical statistics and computer science, with special regard to statistical bases of learning, subsymbolic and symbolic learning processes, granular computing, and modeling of dynamical processes in biology.
He introduced the Algorithmic Inference approach in statistics as a conceptual and methodological tool to solve modern computational learning problems with the massive use of computers. In particular, it provides a unifying theoretical framework to the various data analysis and management disciplines converging under the granular computing heading. He also introduced some non-markovian processes to model intentionality in a wide range of biological systems ranging from bacteria colonies to social communities.
Apolloni is head of the Neural Networks Research Laboratory (LAREN, http://laren.dsi.unimi.it) of the department of Computer Science of the University of Milan, past President of the Italian Society for Neural Networks (SIREN, http://siren.dsi.unimi.it), and member of the European Neural Network Society board. He is a member of the editorial board of the many journals, among which: Neural Networks, Neurocomputing, International Journal of Hybrid Intelligent Systems, International Journal of Information and Communication Technology and International Journal of Computational Intelligence Studies .
He is Scientific Leader in national and international research projeects.