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Davide Zorzenon

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Davide Zorzenon

Technische Universität Berlin
Fachgebiet Regelungssysteme
Sekretariat EN11
Einsteinufer 17
D-10587 Berlin

Office: EN 204 (Elektrotechnik Neubau)
Phone: +49 (0)30 314-79281
Fax: +49 (0)30 314-21137
Email: zorzenon@control.tu-berlin.de



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 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 involved the design of deep learning algorithms and their implementation in domestic devices. Since July 2019, I am a PhD candidate at TU Berlin, supported by the German Research Foundation (DFG). My PhD topic is "Compositional methods for the control of concurrent timed discrete-event systems".


My current research focuses on a class of timed discrete-event systems called P-time event graphs. They are non-deterministic dynamical systems that can be applied for modeling and analyzing time schedules in manufacturing systems. More generally, I am interested in discrete-event systems that have a convenient description in dioid frameworks and in the interplay between systems theory and computer science. Other topics that interest me are graph theory, combinatorics, and modeling of epidemics.


See here (Google Scholar) or here (ResearchGate).

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