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GIOVANNI PERIN
Position
Assegnista di ricerca
Address
Università degli studi Padova
Telephone
Born in Castelfranco V.to (TV) in 1995, I obtain the scientific high school diploma in 2014 with a 100/100 grade at Liceo Giorgione in Castelfranco. In 2017 I obtain the Laurea in Ingegneria dell'Informazione L-8 at the University of Padua (110/110) with a thesis on automatic identification of epileptic patterns on EEG tracings, supervisor Prof. Alessandra Bertoldo. In 2019 I complete my Master's degree in ICT for Internet and Multimedia, ICT for Life and Health curriculum at the same University (110/110 summa cum laude) with thesis on Erasmus at the Deutsche Telekom Chair of Communications Networks in Dresden (Germany), supervisor Prof. Frank Fitzek.
In 2019 I undertake the XXXV cycle of the PhD program at the University of Padua under the supervision of Prof. Michele Rossi. During 2022 I am at the University of California, Irvine (USA) as a visiting scholar under the supervision of Prof. Marco Levorato. In early 2023 I defend my Ph.D. thesis on energy optimization of edge computing networks.
As of January 2023, I am a Research Fellow at the Dept. of Information Engineering, University of Padua, Italy.
Notices
Publications
Selected publications:
G. Perin, M. Berno, T. Erseghe and M. Rossi, "Towards Sustainable Edge Computing Through Renewable Energy Resources and Online, Distributed and Predictive Scheduling," in IEEE Transactions on Network and Service Management, vol. 19, no. 1, pp. 306-321, March 2022, doi: 10.1109/TNSM.2021.3112796.
G. Perin, F. Meneghello, R. Carli, L. Schenato and M. Rossi, "EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources," in IEEE Transactions on Green Communications and Networking, 2022, doi: 10.1109/TGCN.2022.3199171.
For a complete list refer to the website: https://www.dei.unipd.it/~peringiova/
Thesis proposals
The proposed theses are in the following areas:
- optimization and distributed optimization of telecommunication and computing networks;
- applications of game theory to ICT scenarios;
- machine and reinforcement learning for biomedial and telecommunications applications;
- network and distributed algorithm security.
Students can agree on both bibliographic and more experimental theses.