Professore Ordinario – Dipartimento di Ingegneria dell’Informazione | Tel.: 0502217304 – Email: alberto.landi@unipi.it<\/p>\n","protected":false},"template":"","meta":{"unipi-persone-chiave":"3963","unipi-persone-nome":"Alberto","unipi-persone-cognome":"Landi","unipi-persone-email":"alberto.landi@unipi.it","unipi-persone-cv":"Education
\r\nLaurea degree in Electrical Engineering, 1986. Awarded cum laude by the University of Genoa;
\r\nPh.D (Doctoral degree) in Electrical Engineering, University of Pisa in 1991.
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\r\nPosition
\r\n1990\u20132000 Assistant Professor of Automatic Control, University of Pisa;
\r\n2000\u20132006 Associate Professor of Automatic Control, University of Pisa;
\r\n2006\u2013 Full Professor of Automatic Control, University of Pisa;
\r\n2008\u20132015 President of the Master\u2019s Degree in \u201cRobotics and Automation Engineering\u201d , University of Pisa.
\r\n2014-2020 Member of the Scientific Committee of INAIL appointed as the sole national representative of the Minister of Education, University and Research.
\r\n2016- 2022 Dean of the School of Engineering (Elected twice)
\r\nNational representative on the Executive Board of CoPI (Conference of Italian Engineering Schools), the organization gathering Deans and Directors of Engineering Schools across Italian universities
\r\n
\r\nTeaching Activity at University of Pisa (from 2001)
\r\n2001\u20132002 Automatic Control I (12 ECTS), Automatic Control II (12 ECTS)
\r\n2002\u20132003 Industrial Automation for Mechanical students(6 ECTS)
\r\n2002\u20132007 Fundaments of Automatic Control for electronic students (6 ECTS),Fundaments of Automatic Control for biomedical students (6 ECTS), Biomechatronics (6 ECTS)
\r\n2007\u20132011 Process Control (10 ECTS)
\r\n2008\u20132014 Fundaments of Automatic control for electronic and biomedical students (6 ECTS), Physiological Cybernetics (6 ECTS)
\r\n2013-2014 Digital and Process Control
\r\n2016-2022 Process Control (6 ECTS)
\r\n2015- Fundaments of Automatic control for electronic and biomedical students (6 ECTS),
\r\n2018- Physiological Cybernetics (6 ECTS)
\r\n
\r\nHis research activity has been conducted in the fields of Automatic Control, Railway Engineering, Physiological Cybernetics, and Applied Mathematical Modeling. His early research focused on motion control, robust model identification, and parameter estimation techniques for dynamical systems, leading to extensive collaborations with the railway industry. He made significant contributions to the analysis and monitoring of pantograph-catenary systems for high-speed railways, receiving awards from the Italian Institution of Railway Engineers (CIFI) and twice from the Railway Division of the Institution of Mechanical Engineers in London. He also developed an arc detection sensor adopted by the Japanese Shinkansen high-speed railway system.
\r\n
\r\nSince 2004, his research interests have progressively shifted toward Physiological Cybernetics, applying methods from Automatic Control to the study of biological and physiological systems. In this area, he has developed mathematical models to support clinical diagnosis and the design of optimal therapeutic protocols. Significant achievements include studies on obesity and bariatric surgery that led to the design and construction of a metabolic chamber currently operating at Pisa University Hospital, a unique facility for the quantitative assessment of human energy metabolism. He also transferred signal-processing techniques originally developed for railway applications to the study of sleep-related brain oscillations using EEG signals. In parallel, he developed mathematical models describing HIV infection dynamics and optimizing therapeutic strategies, contributing to a quantitative understanding of disease progression and treatment response. More recently, his research has addressed vaccination strategies, pandemic preparedness, and other public health challenges through the application of systems theory, predictive control, and mathematical modeling.
\r\nHe is the author or co-author of more than 180 scientific publications in international peer-reviewed journals and conference proceedings.","unipi-persone-link-esterno-cv":"","unipi-persone-modalita-ricevimento":"Gli orari di ricevimento variano in base al calendario accademico e dipendono dall\u0092orario delle lezioni del docente e dei corsi di studio coinvolti.\nL\u0092orario indicato si riferisce al primo periodo di lezioni dell\u0092anno accademico 2025-2026.\nSi invita comunque a contattare il docente via e-mail il giorno precedente per conferma, al fine di evitare eventuali disagi dovuti all\u0092impossibilit\u00e0 di effettuare il ricevimento per sovrapposizione con esami o impegni istituzionali (Consigli di Dipartimento, di Corso di Laurea o di Dottorato, sedute di laurea, esami, ecc.). In tale occasione sar\u00e0 possibile concordare, se necessario, date o orari alternativi.\n\nLuogo del ricevimento: ufficio del docente (stanza 5-064). Entrare dal Dipartimento di Ingegneria dell\u0092Informazione, Polo A \u0096 terzo piano.\nAll\u0092interno, salire al piano superiore e raggiungere la stanza 5-064.\n\nNota: nei periodi non di lezione l'orario \u00e8 indicativo. Nel mese di agosto e durante le festivit\u00e0 accademiche esami e ricevimenti sono sospesi.","unipi-persone-luogo-ricevimento":"In presenza -stanza del docente- e\/o su Piattaforma E-Teams del corso (anche in orari diversi da concordare via mail).","unipi-persone-ore-ricevimento":"Mercoled\u00ec ore 10:00-12:00 e Venerd\u00ec ore 10:30-12:30","unipi-persone-telefono":"0502217304","unipi-persone-sitoweb":"","unipi-persone-cariche":"","unipi-persone-link-orario-lezioni":"https:\/\/unipi.prod.up.cineca.it\/calendarioPubblico\/matricola=007749","unipi-persone-link-registro-lezioni":"https:\/\/unimap.unipi.it\/registri\/registri.php?ri=007749&tmplt=principale.tpl","unipi-persone-settore-scientifico":"Automatica IINF-04\/A","unipi-persone-ruolo":"Professore Ordinario","unipi-persone-arpi":"https:\/\/arpi.unipi.it\/cris\/rp\/rp14988","unipi-persone-pubblicazioni":"