Professore Associato – Dipartimento di Informatica | Tel.: 0502212111 – Email: claudio.gallicchio@unipi.it<\/p>\n","protected":false},"template":"","meta":{"unipi-persone-chiave":"77974","unipi-persone-nome":"Claudio","unipi-persone-cognome":"Gallicchio","unipi-persone-email":"claudio.gallicchio@unipi.it","unipi-persone-cv":"Claudio Gallicchio is an Associate Professor at the Department of Computer
\r\nScience, University of Pisa, where he leads the research line on Neural
\r\nDynamics and Neuromorphic AI within the Computational Intelligence & Machine
\r\nLearning Group (CIML), supervising PhD students, post-doctoral researchers and
\r\nresearch fellows.
\r\n
\r\nHe is Principal Investigator of the University of Pisa unit of MINDnet
\r\n(Neuromorphic Computing and Signal Processing Training Network), an MSCA
\r\nDoctoral Network funded by Horizon Europe (Grant Agreement 101226674,
\r\n2026-2029), and Principal Investigator of the University of Pisa unit of the
\r\nHorizon Europe project ADA-COLLAB. He was Principal Investigator and Project
\r\nCoordinator of NEURONE (Extremely efficient NEUromorphic Reservoir cOmputing
\r\nin Nanowire network hardwarE), funded by the Italian Ministry of University
\r\nand Research under PRIN 2022 (project code 20229JRTZA), with Politecnico di
\r\nTorino and INRiM as partners. He leads Work Package 4 of the EIC Pathfinder
\r\nproject EMERGE (Grant Agreement 101070918), led Work Package 4 of the H2020
\r\nproject TEACHING (Grant Agreement 871385), and leads Work Package 2 of the
\r\nRELAY project funded by the Research Council of Norway (Grant Agreement
\r\n345017). He is also Principal Investigator of industrial research contracts
\r\nwith Danieli & C. Officine Meccaniche SpA and Silvretta Research Inc. (USA).
\r\n
\r\nHe received the Laurea degree in Computer Science from the University of Bari,
\r\nItaly, in 2007, and the Ph.D. degree in Computer Science from the University
\r\nof Pisa, Italy, in 2011. His research interests include machine learning, deep
\r\nlearning, recurrent and recursive neural networks, reservoir computing,
\r\ndynamical neural models, deep learning for graphs, and neuromorphic computing
\r\nfor AI, with applications to sensor networks, robotics, human activity
\r\nrecognition, industrial process modelling and smart grids.
\r\n
\r\nHe is Founder and Chair of the IEEE CIS Task Force on Randomization-Based
\r\nNeural Networks and Learning Systems, and Founder and Chair (2018-2022) of the
\r\nIEEE CIS Task Force on Reservoir Computing. He is Associate Editor of the IEEE
\r\nTransactions on Neural Networks and Learning Systems and a member of the
\r\nfaculty board of the Italian National PhD Programme in Artificial
\r\nIntelligence. He has co-authored more than 150 papers in international
\r\njournals and conference proceedings.","unipi-persone-link-esterno-cv":"","unipi-persone-modalita-ricevimento":"Gli studenti che richiedono un ricevimento sono pregati di prenotarsi online al seguente sito, dove possono trovare gli slot disponibili in tempo reale:\nhttps:\/\/calendar.google.com\/calendar\/u\/0\/appointments\/schedules\/AcZssZ0Up031GB_4fDqPdJtxq5TJtv7YrgASM-lAfmI7q_5Ly-CvF84dZs_YwGL2uQOnXYSFjTn20K3M","unipi-persone-luogo-ricevimento":"di persona: ufficio 358N, dipartimento di informatica; oppure online (generalmente su MS Teams)","unipi-persone-ore-ricevimento":"su richiesta a questo link: https:\/\/calendar.google.com\/calendar\/u\/0\/appointments\/schedules\/AcZssZ0Up031GB_4fDqPdJtxq5TJtv7YrgASM-lAfmI7q_5Ly-CvF84dZs_YwGL2uQOnXYSFjTn20K3M","unipi-persone-telefono":"0502212111","unipi-persone-sitoweb":"","unipi-persone-cariche":"","unipi-persone-link-orario-lezioni":"https:\/\/unipi.prod.up.cineca.it\/calendarioPubblico\/matricola=012960","unipi-persone-link-registro-lezioni":"https:\/\/unimap.unipi.it\/registri\/registri.php?ri=012960&tmplt=principale.tpl","unipi-persone-settore-scientifico":"Informatica INFO-01\/A","unipi-persone-ruolo":"Professore Associato","unipi-persone-arpi":"https:\/\/arpi.unipi.it\/cris\/rp\/rp02361","unipi-persone-pubblicazioni":"