Giorgio Stefano Gnecco was born in Genoa, Italy. From 2017, he is a Tenure-Track Assistant Professor ("Ricercatore Tipo B") in Operations Research at the IMT - School for Advanced Studies, Lucca, working in the Analysis of compleX Economic Systems (AXES) research unit. 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 December 2013, January 2014, January 2015, and March 2015, respectively, he obtained the:
- Italian National Scientific Qualification for the role of Associate Professor in Operations Research (renewed in 2018 by a different Committee), the
- Italian National Scientific Qualification for the role of Associate Professor in Computer Science, the
- Italian National Scientific Qualification for the role of Associate Professor in Information Processing Systems, and the
- Italian National Scientific Qualification for the role of Associate Professor in Mathematical Methods in Economics.
He has been an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (in the first quartile in 4 different subject categories according to the ISI Impact Factor 2015) since January 2013.
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).
His scientific production includes 65 papers in international journals (52 in ISI journals, 57 in Scopus journals), 1 editorial in an international journal, 11 international book chapters, and 53 international conference papers/abstracts. 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.
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 Monday from 2 p.m. to 4 p.m. (in case of classes, 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.