Einrichtung | Regelungssysteme |
---|---|
Sekretariat | EN11 |
Gebäude | EN |
Raum | EN204 |
Adresse | Einsteinufer 17 10587 Berlin |
Consulting Times | by arrangement |
I studied Industrial Engineering (BSc, 2012-2016), Electrical Energy and Systems Engineering (MSc, 2016-2019) at the University of Trieste, and Accordion (BA, 2014-2019) at the Conservatory of Music Giuseppe Tartini of Trieste, Italy. During my master, I spent a semester at the RWTH Aachen University as an Erasmus student. I wrote my master thesis in collaboration with Danieli Automation SpA on the control of metal cooling processes using non-linear model predictive control. From March to June 2019, I worked at the University of Trieste in the project "Pattern recognition applied to home appliances", which consisted in the design of deep learning algorithms and their implementation in domestic devices. Since July 2019 I am a PhD candidate at the TU Berlin, where I am involved in the (DFG) project "Compositional methods for the control of concurrent timed discrete-event systems" and in teaching activities.
My current research focuses on a class of timed discrete-event systems called ''P-time event graphs'' and their extensions. They are non-deterministic dynamical systems that can be applied for modeling and analyzing time schedules in manufacturing systems with temporal constraints. Examples of such systems are electroplating lines, cluster tools, and baking processes. More generally, I am interested in discrete-event systems that have a convenient description in dioids (or idempotent semirings), and in the interplay between systems theory and computer science. Other topics that interest me are graph theory, machine learning, model predictive control, and modeling of epidemics.
Discrete Event Systems, since WS 2021/22
Hybrid Systems, since SS 2022