Giorgio Stefano Gnecco was born in Genoa, Italy. From 2020, he is Associate Professor in Operations Research at the IMT - School for Advanced Studies, Lucca, working in the Analysis of compleX Economic Systems (AXES) research unit, where he was Tenure-Track Assistant Professor ("Ricercatore Tipo B") in Operations Research, from 2017 to 2020. From 2013 to 2017, he was a Fixed Term Assistant Professor ("Ricercatore Tipo A") in Control Systems at IMT Lucca, working in the Dynamical Systems, Control and Optimization (DYSCO) research unit. From 2016, he is Director of the local Research Unit of INdAM (National Institute for Advanced Mathematics) at IMT - Lucca.
- in September 2018, the Italian National Scientific Qualification for the role of Full Professor in Operations Research,
- in April 2021, the Italian National Scientific Qualification for the role of Full Professor in Computer Science, and
- in April 2021, the Italian National Scientific Qualification for the role of Full Professor in Mathematical Methods of Economics and of Actuarial and Financial Sciences.
He also obtained
- in December 2013, the Italian National Scientific Qualification for the role of Associate Professor in Operations Research (renewed in September 2018 by a different committee),
- in January 2014, the Italian National Scientific Qualification for the role of Associate Professor in Computer Science,
- in January 2015, the Italian National Scientific Qualification for the role of Associate Professor in Information Processing Systems,
- in March 2015, the Italian National Scientific Qualification for the role of Associate Professor in Mathematical Methods of Economics and of Actuarial and Financial Sciences, and
- in May 2021, the Italian National Scientific Qualification for the role of Associate Professor in Control Systems.
Since 2013, 2020, and 2021, respectively, he has been Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Action Editor for Neural Networks, and Associate Editor for Neurocomputing.
In March 2018, he taught the graduate course "Optimization over Time and its Application to Online Machine Learning" at Charles University, Prague. In May 2016, he was a visiting scientist at the University of Cambridge, UK. From 2009 to 2013, he worked as a Postdoctoral Researcher at the University of Genoa. In 2007, he was a visiting scientist at the Institute of Computer Science of the Academy of Sciences of the Czech Republic
He received the "Laurea" (M.Sc.) degree (5 years) cum laude in Telecommunications Engineering and the Ph.D. degree in Mathematics and Applications, both from the University of Genoa, in 2004 and 2009, respectively.
Besides his scientific studies, he also received the "Diploma" in violin at the Livorno Higher Music School and the "Diploma" in viola at the Piacenza Conservatory in 2000 and 2001, respectively (10-years studies each, both recognized as Master's Degrees, according to the Italian Stability Law 228/2012). In the years 2012, 2013, and 2017, he combined his scientific and musical background in the context of the EU Project 7FP ICT FET SIEMPRE (Social Interaction and Entrainment using Music PeRformancE) and of the H2020-ICT-2015 project TELMI (Technology enhanced learning of musical instrument performance).
He has been Italian coordinator of
- the Galileo 2021 project “Automatic Movement Analysis Techniques for Applications in Cognitive/Motor Rehabilitation” between Italy and France,
- the Galileo 2019 project “Should Forests be Restored by Polluters or Deforesters? An Approach based on Game Theory” between Italy and France,
principal investigator of
- the research project “Trade-off between Number of Examples and Precision in Variations of the Fixed-Effects Panel Data Model”, granted by INdAM-GNAMPA (Italian National Institute for High Mathematics, National Group for Mathematical Analysis, Probability, and their Applications),
and Italian responsible of
- the ICTP-INdAM “Research in Pairs” research project “On the Expressive Power of Neural Nets with Random Weights”, granted by ICTP (International Centre for Theoretical Physics) and INdAM (Italian National Institute for High Mathematics) between Italy and China.
His scientific production includes 1 book published by Springer, 90 papers in international journals (76 in journals indexed by both ISI and Scopus, other 9 in journals indexed by Scopus only), 1 editorial in an international journal, 22 book chapters, and 87 international conference papers/abstracts. 37 of his journal papers are in "Class A" journals for "Area 13: Economics and Statistics". His current research interests include machine learning theory and applications, neural networks, big data, multi-agent control systems, game theory, optimization applied to telecommunications networks, to economics, and to civil engineering.
Two of the former IMT Ph.D. Students who published with Giorgio Stefano Gnecco currently work, respectively, at Harvard University (Falco J. Bargagli Stoffi) and Bocconi University (Federico Nutarelli).
For more information, see the updated cv (containing also a list of publications), the profile on Researchgate, and a list of citations on Scopus and Google Scholar.
Office hours: every Tuesday from 2 p.m. to 4 p.m. (in case of lectures, from 4 p.m. to 6 p.m.).
Current research interests include operations research, game theory, machine learning theory and applications, neural networks, big data, multi-agent control systems, and optimization applied to telecommunications networks, to economics, and to civil engineering.