Seminario pubblico di Alessandro Giuseppi
In ottemperanza ai requisiti previsti dalla procedura selettiva per 1 posto di RICERCATORE A TEMPO DETERMINATO IN TENURE TRACK (RTT) per il Gruppo Scientifico Disciplinare 09/IINF-04 – Settore Scientifico Disciplinare IINF-04/A, presso il Dipartimento di Ingegneria Informatica, Automatica e Gestionale Antonio Ruberti, codice concorso 2024RTTA009, D.R. n. 3691/2024 del 23.12.2024 (consultabile sul Portale di Ateneo al seguente link: https://web.uniroma1.it/trasparenza/sites/default/files/2024RTTA009_D.R.A.A._WEB.pdf), si terrà il seminario pubblico di Alessandro Giuseppi sulle sue attività di ricerca il giorno mercoledì 08 gennaio 2025, alle ore 10:00, in Aula A4 (DIAG) e in collegamento Meet al link https://meet.google.com/fzc-dmgg-rdc.
Title: Control of complex systems: from dynamical networks to intelligent control
Abstract: Over the last few decades, the ever-increasing integration of advanced sensing and actuation functionalities into industrial plants and networks has led to a significant increase in their complexity from both an architectural and an operational point of view. In fact, modern networks have become dynamical systems defined by the interaction of multiple complex sub-systems, posing significant challenges to their design and control due to their distributed and interconnected nature. To compensate for this rise in complexity, thanks to the broad availability of measurements and process data collected by modern control architectures, intelligent and data-driven control systems have been proposed to cope with the limitations of the available plant models by leveraging on recent machine learning results. In this direction, the seminar will focus on two main aspects: first, some recent results related to non-cooperative flow control over heterogeneous dynamical networks will be discussed; then, some data-driven solutions to support and enhance the analysis and control of complex systems will be presented. A brief discussion on future research directions and additional applications will conclude the talk.
Short bio: Alessandro Giuseppi received from the University of Rome “La Sapienza” his M.Sc. degree in Control Engineering in 2016 and his Ph.D. in Automatica in 2019. In 2021-2024, he has been a Postdoctoral Researcher (RTDa) in Automatic Control, the field for which he received in 2023 National Scientific Qualification for the position of Associate Professor (ASN 09/G1 II fascia), at DIAG, teaching in the courses of “Intelligent and Hybrid Control”, “Process Identification and Control” and “Applicazioni dell’Automatica”. Since 2016, he has participated in sixteen EU and National funded research projects, as well as several other applied funded research studies. Among those projects, A. Giuseppi has served several times as a local research unit coordinator, Work-Package leader and/or project coordinator and he is currently collaborating with the non-profit research consortium CRAT as both researcher and project manager in the scope of the Horizon Europe programme. Regarding technology transfer activities, in 2023, A. Giuseppi was among the founding members of the Start-Up “Automation Intelligence and Control”, where he currently serves as Chief Technology Officer (CTO). Among the awards he received are the third and fourth editions of the “Minerva Award”, recognized for his research activity during his PhD studies and his first years as a researcher, and the #T-TeC2020 award, issued by the company Telespazio spa for his applied research in the aerospace field. He is currently an associate editor for the IEEE Transactions on Automation Science and Engineering (T-ASE) and for the International Journal of Control, Automation, and Systems (IJCAS) edited by Springer. His main research activities are in the fields of intelligent systems and network control, where he has published more than 80 scientific papers in international journals and conferences and is inventor of one issued patent.