Gaetano Valenza

Location: VIA G. CARUSO, 16, 56122 PISA

Email: gaetano.valenza@unipi.it

Phone: 050 2217074

Website: http://www.centropiaggio.unipi.it/~valenza

Gaetano Valenza

Profile

Position: Professore Associato

Unit: Dipartimento di Ingegneria dell'Informazione

Scientific-disciplinary sector: Bioingegneria IBIO-01/A

Gaetano Valenza, M.Eng., Ph.D., is currently an Associate Professor of Bioengineering at the University of Pisa, Pisa, Italy, and head of the Neurocardiovascular Intelligence Lab.
In 2011, he joined the Neuro-Cardiovascular Signal Processing unit within the Massachusetts Institute of Technology, Cambridge, USA. In 2013, he received the Ph.D. degree in Automation, Robotics, and Bioengineering from the University of Pisa and, in the same year, was appointed as a Research Fellow at Harvard Medical School/ Massachusetts General Hospital, Boston, USA.
His research interests include statistical and nonlinear biomedical signal and image processing, cardiovascular and neural modeling, physiologically-interpretable artificial intelligence systems, and wearable systems for physiological monitoring. Applications of his research include the assessment of autonomic nervous system activity on cardiovascular control, brain-heart interactions, affective computing, assessment of mood and mental/neurological disorders. He is author of more than 300 international scientific contributions in these fields published in peer-reviewed international journals, conference proceedings, books and book chapters, and is official reviewer of several international scientific journals.
Dr. Valenza is a Senior Member of the IEEE, and Chair of the IEEE Technical Committee on Biomedical Signal Processing.

Teaching

Teaching activity

Teaching responsibility for modules/courses

  • Biostatistica (cod. 130PP) per Laurea in Ingegneria biomedica
  • Probability and biostatistics (cod. 1127I) per Laurea Magistrale in Bionics engineering
    Insegnamenti condivisi/mutuati:
    • Probability and biostatistics (cod. 1107I) - Laurea Magistrale in Biotechnologies and applied artificial intelligence for health
  • Advanced image processing (modulo dell'insegnamento integrative cerebral function and image processing cod. 002mi) per Laurea Magistrale in Bionics engineering
  • Apparecchiature medicali per la radiodiagnostica (modulo dell'insegnamento scienze umane e del management sanitario cod. 008if) per Laurea in Tecniche di radiologia medica, per immagini e radioterapia (abilitante alla professione sanitaria di tecnico di radiologia medica)


Student consultation hours

Mode of office hours: Martedì 11.00-13.00 Prenotazione via email obbligatoria

Research

Publications