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Patrizio Dazzi

Icona sede Dipartimento di Informatica

Location: LARGO BRUNO PONTECORVO, 3, 56127 PISA

Email: patrizio.dazzi@unipi.it

Phone: 050 2212769

Website: http://pages.di.unipi.it/dazzi

Patrizio Dazzi

Profile

Position: Professore Associato

Unit: Dipartimento di Informatica

Scientific-disciplinary sector: Informatica INFO-01/A

Patrizio Dazzi received his B.Sc. degree in computer science and his M.Sc. in computer technologies, focusing on computer systems and networks, from the University of Pisa, Italy, in 2003 and 2004, respectively. He earned his Ph.D. in Computer Science and Engineering from the IMT School for Advanced Studies Lucca, Italy, in 2008. His research primarily focuses on high-performance and scalable distributed systems, particularly on models and algorithms for the decentralized management of computations and data. He is a Senior Researcher at the University of Pisa and Co-Founder and Co-Leader of the Pervasive AI Laboratory, a joint initiative between the University of Pisa and the National Research Council of Italy. He has a long history with the National Research Council of Italy, where he was a permanent researcher in the High-Performance Computing Laboratory for 17 years. Patrizio Dazzi has served as the Scientific Coordinator of the EU-South Korea H2020 BASMATI project, Project Coordinator for the EU H2020 ACCORDION Project, and Innovation Coordinator for the EU H2020 TEACHING Project. He has coauthored approximately 150 papers in international journals and conferences on topics related to High-Performance Distributed Systems. Additionally, he has coauthored the book "Cloud Broker and Cloudlet for Workflow Scheduling" (Springer). He has been an active program committee member for numerous conferences in the field of large, distributed systems, including IEEE ICDCS, IEEE CLOUD, ACM SoCC, EuroPar, ACM SIGKDD, ACM WSDM, and IEEE HPCS. He is a member of the Executive Committee of the IEEE Technical Committee on Cloud Computing. His notable roles include Program Co-chair for ParCo 2017 and the IEEE International Conference on JointCloud Computing 2023, as well as General Co-chair for the ACM High-Performance Parallel and Distributed Conference 2024. Patrizio Dazzi is part of the editorial board of ETRI Journal (Elsevier) and Springer Computing. He is also serving as Editor-in-Chief for the International Journal of Networked and Distributed Computing (Springer Nature).

Teaching

Teaching activity

Teaching responsibility for modules/courses

  • Scalable distributed computing (cod. 0016A) per Laurea Magistrale in Informatica
    Insegnamenti condivisi/mutuati:
    • Distributed enabling platforms (cod. 534AA) - Laurea Magistrale in Informatica e networking
  • Laboratorio ii - corso a (cod. 732AA) per Laurea in Informatica
Teaching register
Lesson timetable

Student consultation hours

Mode of office hours: L'orario è valido durante il periodo delle lezioni. Al di fuori di questo periodo, si prega di contattare il docente via email per fissare un appuntamento. The question time schedule is valid during the lecture period. Outside of this period, please contact the instructor via email to make an appointment.

Location: Ufficio 357, Dipartimento di Informatica Office 357, Department of Computer Science

Time: Venerdì 14:00 - 16:00 Friday 14:00 - 16:00

Research

Publications

All publications by Patrizio Dazzi on ARPI, the Research Archive of the University of Pisa
  • Università di Pisa
  • Lungarno Pacinotti, 43
  • P.I. 00286820501 C.F. 80003670504
  • T. +39 050 221 2111
  • N. Verde Studenti 800018600​
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