Short Bio
Marco Gori received the Ph.D. degree in 1990 from Università di Bologna, Italy, working partly at the School of Computer Science (McGill University, Montreal). In 1992, he became an Associate Profes-sor of Computer Science at Università di Firenze and, in November 1995, he joint the Università di Siena, where he is currently full profes-sor of computer science, where he is leading the Siena Artificial Intelli-gence Lab (SAILAB) http://sailab.diism.unisi.it/
Professor Gori is primarily interests in machine learning with ap-plications to pattern recognition, Web mining, game playing, and bioin-formatics. He has recently published the monograph “Machine Learning: A constraint-based approach,” (MK, 560 pp., 2018), which contains a unified view of his approach. His pioneering role in neural networks has been emerging especially from the recent interest in Graph Neural Net-works, that he contributed to introduce in the seminal paper “Graph Neural Networks,” IEEE-TNN, 2009, which received nearly 500 cita-tions in 2019.
Professor Gori has been the chair of the Italian Chapter of the IEEE Computation Intelligence Society and the President of the Italian Asso-ciation for Artificial Intelligence. He is a Fellow of IEEE, a Fellow of EurAI, and a Fellow of IAPR. He was one the first people involved in European project on Artificial Intelligence CLAIRE, and he is currently a Fellow of Machine Learning association ELLIS. He is in the scientific committee of ICAR-CNR and is the President of the Scientific Commit-tee of FBK-ICT. He has been recently invited by the Agence Nationale de la Recherche of France to be a member of the pool of experts for the French national research plan on AI. Dr. Gori is currently holding the 3IA Chair position at the Université Cote d’Azur.