Sede ufficiale: VIA G. CARUSO, 16, 56122 PISA
Email: alessandro.tognetti@unipi.it
Telefono: 050 2218252
Profilo
Struttura: Dipartimento di Ingegneria dell'Informazione
Settore scientifico-disciplinare: Bioingegneria IBIO-01/A
Cariche
- Presidente del Consiglio Aggregato - Bionics Engineering (Laurea)
- Presidente del Consiglio Aggregato - Ingegneria Biomedica (Laurea)
- Presidente del Consiglio Aggregato - Ingegneria Biomedica (Laurea Magistrale)
- Presidente del Consiglio Aggregato - Ingegneria Biomedica (Laurea)
- Presidente del Consiglio Aggregato - Ingegneria Biomedica
Alessandro Tognetti earned his Ph.D. in "Robotics, Industrial Automation Systems and Bioengineering" from the University of Pisa, completing his thesis on "Wearable Kinaesthetic Systems for Capturing and Classifying Body Posture and Gesture" in June 2005. He also holds a degree in Electronic Engineering with a focus on Bioengineering, where his thesis was titled "Microfabrication of Carbon Nanotube-Based Actuators for Bioengineering Applications" in April 2001 .
Academic Positions and Experiences
Current Position
Dr. Tognetti is currently a Full Professor at the Department of Information Engineering, University of Pisa, and serves as the President of the Joint Council of Degree Courses in Biomedical Engineering and Bionics Engineering since September 2024 .
Previous Positions
His previous roles include Vice-President of the Joint Council for Biomedical Engineering courses, Associate Professor, and various research positions at the University of Pisa. He has also held adjunct professorships and research fellowships, contributing to various projects and initiatives in bioengineering .
Teaching Activities
He has taught several courses at the University of Pisa, including "Bioelectrical Phenomena I and II," "Biosensors," and "Modeling of Multi-Physics Phenomena" for both Bachelor's and Master's programs in Biomedical Engineering and Bionics Engineering.
Research Activities
He coordinates several research groups focused on wearable technologies and biosensing at the University of Pisa. His leadership includes the "Augmented Reality" Laboratory and groups dedicated to cardiac modeling and wearable biosensing technologies .
Research Projects
Dr. Tognetti is involved in significant national and international research projects, including the European Horizon Europe TOLIFE Project aimed at improving management and quality of life in chronic obstructive pulmonary disease, with a total budget of 5.9 million . He has also led various funded projects focusing on innovative technologies in healthcare .
Patents and Start-ups
He has been involved in the development of patents related to flexible sensor technologies and has founded innovative start-ups, including Weabios, which focuses on wearable systems for health monitoring .
Didattica
Attività didattica
Incarichi di responsabilità didattica di moduli/insegnamenti
- Fenomeni bioelettrici ii (modulo dell'insegnamento fenomeni bioelettrici cod. 480ii) per Laurea in Ingegneria biomedica
- Fenomeni bioelettrici i (modulo dell'insegnamento fenomeni bioelettrici cod. 480ii) per Laurea in Ingegneria biomedica
- Modeling of multi-physics phenomena (modulo dell'insegnamento analysis of bionic and robotic systems cod. 1128i) per Laurea Magistrale in Bionics engineering
Incarichi di co-docenza in moduli/insegnamenti
- Bionic Senses (Cod. 710II) per Laurea Magistrale in Bionics engineering
Ricevimento
Modalità: E' richiesta una conferma preventiva per mail.
Luogo: Ufficio del Docente (sede DII ultimo piano DICI sede di ingegneria strutturale)
Orario: Ricevimento: Mercoledì 9-11 Tutoraggio: Mercoledì 11-12.30
Ricerca
Interessi di ricerca
The research activity focuses on the development of non-invasive biomedical technologies and the computational modeling of physiological systems, with particular attention to cardiac electrophysiology.
Non-Invasive Biomedical Technologies
This research line addresses the design and development of devices and systems for the continuous and non-invasive monitoring of physiological parameters in real-world conditions. Activities include:
Design and modelling of wearable and unobtrusive sensors for the detection of posture, movement, cardiorespiratory signals, and other physiological parameters.
Integration of embedded systems for data acquisition and processing in uncontrolled environments.
Development of artificial intelligence algorithms for the processing of physiological signals and the classification of clinical or functional states.
These technologies are applied in healthcare and clinical settings, with particular focus on daily patient monitoring and predictive, personalized medicine.
Computational Modeling of Physiological Systems
The second research line is dedicated to computational modeling, with a specific focus on the heart and cardiac electrophysiology. Research activities in this area include:
Development of numerical models for the simulation of cardiac electrical activity.
Digital Twin approaches to build virtual, personalized representations of the heart based on clinical data and simulations.
Application of these models to better understand pathophysiological mechanisms and to support diagnosis and therapy planning.
Work in both domains aims to provide practical tools for digital medicine, combining advanced measurement technologies with personalized models to improve monitoring, prevention, and clinical decision-making.
Pubblicazioni
- A Matlab Toolbox for cardiac electrophysiology simulations on patient-specific geometries (Biasi, Niccolò; Seghetti, Paolo; Parollo, Matteo; Zucchelli, Giulio; Tognetti, Alessandro - 2025 - 1.1 Articolo in rivista)
- Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings (Zanoletti, Michele; Bufano, Pasquale; Bossi, Francesco; Di Rienzo, Francesco; Marinai, Carlotta; Rho, Gianluca; Vallati, Carlo; Carbonaro, Nicola; Greco, Alberto; Laurino, Marco; Tognetti, Alessandro - 2024 - 1.1 Articolo in rivista)
- A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries (Biasi, Niccolò; Seghetti, Paolo; Mercati, Matteo; Tognetti, Alessandro - 2023 - 1.1 Articolo in rivista)
- A reaction-diffusion heart model for the closed-loop evaluation of heart-pacemaker interaction (Biasi, Niccolo; Seghetti, Paolo; Mercati, Matteo; Tognetti, Alessandro - 2022 - 1.1 Articolo in rivista)
- Diffuse fibrosis and repolarization disorders explain ventricular arrhythmias in Brugada syndrome: a computational study (Biasi, Niccoló; Seghetti, Paolo; Tognetti, Alessandro - 2022 - 1.1 Articolo in rivista)
- Physics-based Simulation and Machine Learning for the Practical Implementation of EIT-based Tactile Sensors (Biasi, Niccolo; Gargano, Andrea; Arcarisi, Lucia; Carbonaro, Nicola; Tognetti, Alessandro - 2022 - 1.1 Articolo in rivista)
- A smart bed for non-obtrusive sleep analysis in real world context (Laurino, Marco; Arcarisi, Lucia; Carbonaro, Nicola; Gemignani, Angelo; Menicucci, Danilo; Tognetti, Alessandro - 2020 - 1.1 Articolo in rivista)
- Touch Position Detection in Electrical Tomography Tactile Sensors Through Quadratic Classifier (Russo, Stefania; Assaf, Roy; Carbonaro, Nicola; Tognetti, Alessandro - 2019 - 1.1 Articolo in rivista)
- Exploiting wearable goniometer technology for motion sensing gloves (Carbonaro, Nicola; Gabriele Dalle, Mura; Federico, Lorussi; Rita, Paradiso; DE ROSSI, DANILO EMILIO; Tognetti, Alessandro - 2014 - 1.1 Articolo in rivista)
- New generation of wearable goniometers for motion capture systems (Tognetti, Alessandro; Federico, Lorussi; Gabriele Dalle, Mura; Carbonaro, Nicola; Maria, Pacelli; Rita, Paradiso; DE ROSSI, DANILO EMILIO - 2014 - 1.1 Articolo in rivista)