Giovanni Perin

I am a Ph.D. student at the Department of Information Engineering (DEI), University of Padova, Italy, within the SIGNET laboratory, under the supervision of Prof. Michele Rossi.
I was born in Castelfranco Veneto (TV) in 1995 and grew up in the close area of the springs of the Sile river, in the small village of Casacorba di Vedelago.
My doctoral research project focuses on the management and control of distributed networks, in particular focusing on green edge computing, and federated learning.
In my free time I am a volleyball player and trainer and I sing as a baritone with Coro Val Canzoi.


2009-2014 Liceo Scientifico Giorgione (scientific high school), Castelfranco Veneto (TV) - 100/100
2014-2017 Laurea (BSc) in Ingegneria dell'Informazione, University of Padova - 110/110
2017-2019 Laurea Magistrale (MSc) in ICT for Internet and Multimedia - 110/110 summa cum laude
2019 April-August Internship and Master Thesis at the Technical University of Dresden (Germany)
2019-2022 Ph.D. in Information Engineering, University of Padova
2022 February-August Visiting Scholar at the University of California, Irvine (USA)


2019-2021 Tutor - Calculus I (BSc in Information Engineering)
2019-2022 Tutor - Telecommunications (BSc in Information Engineering)



  1. 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.


  1. G. Perin and L. Badia, "Reinforcement Learning for Jamming Games Over AWGN Channels With Mobile Players", 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2021, pp. 1-6.
  2. G. Perin, A. Buratto, N. M. Anselmi, S. Wagle and L. Badia, "Adversarial Jamming and Catching Games over AWGN Channels with Mobile Players", 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2021, pp. 319-324.
  3. G. Perin, D. Nophut, L. Badia and F. H. P. Fitzek, "Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits", 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020, pp. 0472-0478.
  4. G. Perin, G. Fighera and L. Badia, "Comparison of Nash Bargaining and Myopic Equilibrium for Resources Allocation in Cloud Computing", 2019 IEEE Global Communications Conference (GLOBECOM), 2019, pp. 1-6.

Books and chapters

  1. F. Meneghello, G. Perin and M. Rossi, “Machine Learning Techniques for Context Extraction and User Profiling in 5G Mobile Systems”, book chapter, in “Machine Learning and 5G/6G Networks: Interplay and Sinergies”, CNIT Technical Report-07, 2021, editors Sergio Barbarossa and Andrea Zanella, ISBN: 9788894982503.


  1. G. Perin, F. Meneghello, R. Carli, L. Schenato and M. Rossi, "EASE: Energy-Aware job Scheduling for vehicular Edge networks with renewable energy resources", arXiv preprint, 2021.

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