Claudio Gallicchio

Sede ufficiale: LARGO BRUNO PONTECORVO, 3, 56127 PISA

Email: claudio.gallicchio@unipi.it

Telefono: 0502212111

Profilo

Ruolo: Professore Associato

Struttura: Dipartimento di Informatica

Settore scientifico-disciplinare: Informatica INFO-01/A

Claudio Gallicchio received the Laurea degree in Computer Science from the University of Bari, Bari, Italy, in 2007 and the Ph.D. degree in Computer Science from the University of Pisa, Pisa, Italy, in 2011. Currently, he is Assistant Professor at the Department of Computer Science, University of Pisa, within the Computational Intelligence & Machine Learning Group (CIML). He is chair of the IEEE Task Force on Reservoir Computing (TFRC), and member of the IEEE CIS Task Force on Deep Learning. Moreover, he is member of several program committees of conferences and workshops in Machine Learning and Artificial Intelligence. His research interests include machine learning, deep learning, recurrent and recursive neural networks, reservoir computing, sequence and structured domains learning, with applications to cheminformatics, wireless and intelligent sensor networks, robotics, human activity recognition, document processing, smart grid. Since 2011 he is involved in European projects in the fields of computational intelligence, robotics, ambient assisted living and human activity recognition. He has co-authored more than 50 papers published in international journals and conference proceedings.

Didattica

Attività didattica

Incarichi di responsabilità didattica di moduli/insegnamenti

  • Introduzione all'intelligenza artificiale - corso b (cod. 586AA) per Laurea in Informatica
    Insegnamenti condivisi/mutuati:
  • Computational neuroscience (modulo dell'insegnamento applied brain science cod. 001ma) per Laurea Magistrale in Bionics engineering
    Insegnamenti condivisi/mutuati:
  • Algoritmica (cod. 429AA) per Laurea in Informatica umanistica


Ricevimento

Modalità: Gli studenti che richiedono un ricevimento sono pregati di prenotarsi online al seguente sito, dove possono trovare gli slot disponibili in tempo reale: https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ0Up031GB_4fDqPdJtxq5TJtv7YrgASM-lAfmI7q_5Ly-CvF84dZs_YwGL2uQOnXYSFjTn20K3M

Luogo: di persona: ufficio 358N, dipartimento di informatica; oppure online (generalmente su MS Teams)

Orario: su richiesta a questo link: https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ0Up031GB_4fDqPdJtxq5TJtv7YrgASM-lAfmI7q_5Ly-CvF84dZs_YwGL2uQOnXYSFjTn20K3M

Ricerca

Pubblicazioni