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Prof. Fabio Previdi
fabio.previdi@unibg.it

Tel.: +39 0352052357 (Dalmine - ex ENEL)

Office hours: mercoledì 09.00-12.00


Building: Dalmine - ex ENEL
via Pasubio 7b - 24044 Dalmine (BG) - Italy
room 3.03

Associate professor
Department of Engineering

Associate professor
Faculty of Engineering

Subjects:
38036Automated ControlsControlli automatici (6 crediti)
39067Automated ControlsControlli automatici (6 crediti)
38003Automated Controls and System Identification and Data AnalysisCorso integrato di Controlli automatici e Identificazione dei modelli e analisi dei dati (12 crediti)
22021AutomationAutomatica (6 crediti)
22053Electrotechnics and AutomationCorso integrato di Elettrotecnica e Automatica (12 crediti)
21018Fundamentals of AutomationFondamenti di automatica (Informatica) (9 crediti)
39028Fundamentals of AutomationFondamenti di automatica (Meccanica LM) (9 crediti)

Subjects (previous Academic Years):
8456AutomationAutomatica (10 crediti)
21001Automation IAutomatica I (5 crediti)
21002Automation IIAutomatica II (5 crediti)
9014Computer Controlled SystemsControllo digitale (5 crediti)
21025Fundamentals of Automation - module 1Fondamenti di automatica - modulo di base (Informatica) (9 crediti)


Short bio

Fabio Previdi was born in Milano, Italy, on 22 August 1968. He received the M.Sc. in Electronic Engineering (Control Systems) and the Ph.D. in Computer Science and Control Systems Engineering from the Politecnico di Milano (Italy) in in 1993 and in 1999, respectively.

In 1999-2000 he was Research Assistant at the Centre for Systems and Control of the Dept. of Mechanical Engineering, University of Glasgow (UK). In 2000-2002 he was Research Assistant at the Dipartimento di Elettronica e Informazione, Politecnico di Milano (Italy). In 2002-2006 he was Assistant Professor at the Engineering Faculty of the Università degli Studi di Bergamo. From 2006 he is Associate Professor at the same University.

His research interests include fault diagnosis, system identification, control of biomedical systems and application of control systems methods in physics.



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