Prof. Filippo Fabrocini
Tongji University
College of Design & Innovation Shanghai, China
Prof. Filippo Fabrocini is Professor in the College of Design & Innovation, Director of the “Sustainable AI Lab”, and among the founders of the Tongji University “AI & Art Lab”. He is also affiliated to Italy National Research Center – Institute for Computing Applications and Deputy Editor of the “Journal of Empirical and Theoretical AI” (Taylor & Francis). His main areas of interest are Machine Learning, Quantum Machine Learning, Ethical AI, AI Art, and Computational Art. Previously he has been Senior Researcher at IBM Research (Rome, Italy/San Jose, USA), Visiting Researcher in the School of Computer Science at Carnegie Mellon University (Pittsburgh, USA), Professor in the Dep. of Philosophy at Gregorian University (Rome, Italy), and General Manager of the IBM Milan/Rome Business Innovation Center. Prof. Fabrocini has won multiple awards, including two IBM Outstanding Technology Awards and one IBM Client-Value Outstanding Technical Achievement Award. He also received an Honor Award from the Italian Prime Minister S. Berlusconi in recognition of his contribution to the design of a knowledge management/text mining system. Prof. Fabrocini is a member of the Italian Ministry of Economic Development "Task Force China" (Group: Artificial Intelligence). He is also a member of the Association for the Advancement of Artificial Intelligence (AAAI) and of the Cognitive Science Society (CSS). In China, he has been often invited to deliver speeches and lectures mainly related to AI topics including the Xinhua News Agency and the Guangdong TV Station. He has been recently a Keynote Speaker at the World Artificial Intelligence Conference 2021 (WAIC 2021). Prof. Fabrocini is the author of more than 40 papers and three books.
Selected publications
[1] Fabrocini, F., " The SEL Project. An Application of AI Technology to the Preliminary Parts of Civil Proceedings", in Proceedings of the International Conference on Logic, Computer, Science and Law, Firenze, 1989.
(A paper dedicated to the design and the implementation of a logical model of 31 articles of the Italian Civil Code and the corresponding jurisprudence. The model included a hypothetical reasoning system as well.)
[2] Di Pace, L., Fabrocini, F., "Learning from Observation in Noisy Environments via Integration of EBL and SBL Techniques", in Proceedings of the Ninth European Conference on Artificial Intelligence, ECAI, London, Pitman Publishing, 1990.
(A paper making use of J. Pearl!s Belief Networks. It has been among the first papers to apply Pearl!s ideas.)
[3] Di Pace, L., Fabrocini, F., Tecnologia dell'Apprendimento, Roma, Franco Angeli, 1990.
(This book is particularly relevant because it has been the first university textbook to be published in Italy about Machine Learning.)
[4] Di Pace, L., Fabrocini, F., Bolis, G., "Shift of Bias in Learning from Drug Compounds", in Proceedings of the European Working Session on Learning, EWSL, Berlin, Springer-Verlag, 1991.
(An important paper among the first ones to introduce the notion of "bias” applied to Machine Learning and the technology for shifting automatically bias during the learning process.)
[5] Di Pace, L., Fabrocini, F., Bolis, G., "A Machine Learning Approach to Computer-Aided Molecular Design", in International Journal of Computer-Aided Molecular Design, 5, 1991. (This paper is still a milestone in the Computer-Aided Molecular Design area: it is the first paper to apply Machine Learning techniques to the design of new drugs.)
[6] Di Pace, L., Fabrocini, F., Bolis, G., Knowledge-Based Molecular Retrieval System and Method Using a Hierarchy of Molecular Structures in the Knowledge Base, U.S. Patent, N. 5,418,944, 1992.
(IBM patent about Knowledge-Based Retrieval Techniques related to 3D representations of molecular structures.)
[7] Fabrocini, F., "Die Rolle der Praxis bei der Bildung der kognitiven Strukturen", in J. Quitterer & E. Runggaldier, eds. Der Neue Naturalismus - Eine Herausforderung an das christliche Menschenbild, Stuttgart, Kohlhammer, 1999.
(A paper making use of the notion of "action” for interpreting cognitive development.)
[8] Addazi, A., Chen, P., Fabrocini, F., Fields, C., Greco, E., Lulli, M., Marciano, A., Pasechnik, R., “Generalized Holographic Principle, Gauge Invariance and the Emergence of Gravity a la Wilczek”, in Frontiers of Astronomy and Space Sciences, June 2021.
(A paper showing a generalized version of the holographic principle.)
[9] Fabrocini, F., Terzidis, K., “Re-framing AI: An AI Product Designer Perspective”, in Techne’: Research in Philosophy and Technology, 25:3, 2022.
(A paper contributing to a critical re-framing of AI from a design point of view.)
[10] Terzidis K., Fabrocini F., Unintentional intentionality: Art and design in the age of artificial intelligence, in AI & Society, January 2022.
(A paper dedicated to revisiting the notion of “intentionality” from the point of view of AI Art.)
[11] Antonino Marcianò, Deen Chen, Filippo Fabrocini,* Chris Fields, Enrico Greco, Niels Gresnigt, Krid Jinklub, Matteo Lulli, Kostas Terzidis, Emanuele Zappala, Quantum Neural Networks and Topological Quantum Field Theories, in Journal of Neural Networks (forthcoming).
(A paper illustrating a new mathematical and physical framework derived from Topological Quantum Field Theory for addressing the problem of the implementation of Quantum Neural Networks.)