Paolo Piaggi

Location: VIA G. CARUSO, 16, 56122 PISA

Email: paolo.piaggi@unipi.it

Phone: 050 2218238

Paolo Piaggi

Profile

Position: Professore Associato

Unit: Dipartimento di Ingegneria dell'Informazione

Scientific-disciplinary sector: Bioingegneria IBIO-01/A

Positions

  • Vice Presidente - Bionics Engineering (Laurea Magistrale)
  • Vice Presidente - Ingegneria Biomedica (Laurea)
  • Vice Presidente - Ingegneria Biomedica (Laurea Magistrale)

Education and work experience:


Dates: 2021 onwards.
Occupation or position held: Associate Professor in Biomedical Engineering.
Name of organization: Department of Information Engineering, University of Pisa, Pisa, Italy.


Dates: 2018 - 2021.
Occupation or position held: Research Assistant as recipient of “Rita Levi Montalcini for young researchers” program (2015 call).
Name of organization: Department of Information Engineering, University of Pisa, Pisa, Italy.


Dates: 2016 - 2018.
Occupation or position held: Staff Scientist.
Principal Investigator of:
1. “Effects of Diet Changes on Metabolism”, ClinicalTrials.gov Identifier: NCT00523627.
2. “Food Intake Response to Short-Term Modifications of Metabolism in Humans”, ClinicalTrials.gov Identifier: NCT02939404.
Name of organization: National Institutes of Health (NIH), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).


Dates: 2012 – 2016.
Occupation or position held: Visiting research fellow.
Name of organization: National Institutes of Health (NIH), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).


Dates: 2012 – 2012.
Occupation or position held: Postdoctorate researcher, participating in the research project “Building a state of the art whole room indirect calorimeter, a tool to accurately investigate the role of energy expenditure and substrate oxidation in endocrine and metabolic disorders”, Ricerca Finalizzata 2010, Project Code: RF-2010-2310538, funded by Ministero della Salute (Ministry of Health, Italy).
Name of organization: Obesity Research Center, Endocrinology Unit, University Hospital of Pisa, Pisa, Italy.


Dates: 2011 – 2012.
Occupation or position held: Visiting research fellow.
Name of organization: National Institutes of Health (NIH),
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).


Dates: 2009 – 2012.
Title of qualification awarded: Ph.D. in Automation, Robotics and Bioengineering.
Name and type of organization providing education and training: Department of Energy and Systems Engineering (DESE), University of Pisa, Pisa, Italy.


Dates: 2007 – 2008.
Title of qualification awarded: Master’s Degree in Biomedical Engineering (110/110 cum laude).
Qualified to the profession of Information Engineering since January 2010.
Name and type of organization providing education and training: University of Pisa, Pisa, Italy.


Dates: 2003 – 2006.
Title of qualification awarded: Bachelor’s Degree in Biomedical Engineering (110/110 cum laude).
Name and type of organization providing education and training: University of Pisa, Pisa, Italy.



Member of Editorial Board and Reviewer for peer-reviewed journals:

• Editorial Board Member of: Journal of Endocrinological Investigation, International Journal of Diabetes and Clinical Research, Jacobs Journal of Obesity.
• Reviewer for JAMA, Diabetes, International Journal of Obesity, Journal of Genetics and Genomics, International Journal of Neural System, Obesity, Plos One, Journal of Applied Physiology, Journal Of Endocrinology, Journal of Endocrinological Investigation, Medical Engineering & Physics, SciTechnol, Medicine & Science in Sports & Exercise, Archives Italiennes de Biologie, Cognitive Computation, American Journal of Epidemiology, American Journal of the Medical Sciences.



Awards and Honors:

• The Obesity Society fellowship, May 2018 (https://www.obesity.org/fellow-membership/).
• Fellows Award for Research Excellence (FARE) 2016 (https://www.training.nih.gov/felcom/fare).
• The Obesity Society (TOS) Basic Science Section poster competition winner, New Orleans (LA), November 2 2016 (https://obesityweek.com/session/tos-basic-science-section-meeting/).

Teaching

Teaching activity

Teaching responsibility for modules/courses

  • Cip - biostrumentazioni e biostatistica per le scienze motorie (cod. 1198I) per Laurea in Scienze motorie
    Insegnamenti condivisi/mutuati:
    • Cip - biostrumentazioni e biostatistica per le scienze motorie (cod. 1198I) - Laurea in Scienze motorie
  • Modelli compartimentali (modulo dell'insegnamento modelli compartimentali ed organi artificiali cod. 843ii) per Laurea in Ingegneria biomedica
  • Biomeccanica (modulo dell'insegnamento fisiologia e biomeccanica applicate agli ambienti estremi cod. 0030e) per Laurea in Scienze motorie
  • Biologia computazionale - mod. a (modulo dell'insegnamento meet - biologia computazionale cod. 005fi) per Laurea Magistrale Ciclo Unico 6 anni in Medicina e chirurgia
  • Tecnologie bioingegneristiche applicate alla medicina - corso ak (modulo dell'insegnamento metodi innovativi di studio, di ricerca e comunicazione in ambito biomedico cod. 0073f) per Laurea Magistrale Ciclo Unico 6 anni in Medicina e chirurgia
  • Tecnologie biomediche (modulo dell'insegnamento protesi impiantabili, fitting e tecnologie biomediche cod. 010if) per Laurea in Tecniche audioprotesiche (abilitante alla professione sanitaria di audioprotesista)


Research

Research interests

he overarching goal of our research group is to elucidate the physiological mechanisms that govern weight gain and weight loss, to identify novel strategies to prevent weight gain, to support more effective weight loss in individuals with overweight, and to mitigate the adverse consequences of excess adiposity. To pursue these aims, one major line of research focuses on the development and validation of new methods and technologies to assess and monitor energy expenditure and energy intake under free living conditions over extended time periods.
A second line of research investigates the determinants of energy balance, namely energy intake and energy expenditure, and their contribution to changes in body weight. In particular, we aim to identify and characterize human metabolic phenotypes, including “spendthrift” versus “thrifty” profiles, and preferential substrate utilization patterns (predominant carbohydrate versus fat oxidation). These phenotypes are examined through measurements of energy metabolism during controlled overfeeding and caloric restriction, with the goal of understanding interindividual differences in susceptibility to weight gain and weight loss. We also study genetic determinants of energy metabolism and resting metabolic rate that may contribute to individual predisposition to obesity.
 

Publications