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Ioan Tudosa


Affiliated to the "Gheorghe Asachi" Technical University of Iasi, Faculty of Electrical Engineering, Energetics and Applied Informatics, Iasi, .

E-mail: trimite un mesaj.

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Nascut(a) in: 1984

Interese: Embedded systems, Intelligent sensors, Distributed measurement systems, Digital adaptive filtering and Biomedical signal processing

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Ioan Tudosa received the B.A.Sc.('08), M.Sc. ('09) and the Ph.D. ('11) degrees in electrical engineering from the Faculty of Electrical Engineering, Energetics and Applied Informatics, from the "Gheorghe Asachi" Technical University of Iasi,in Iasi, Romania.

He joined as a Research Associate the Department of Engineering from the University of Sannio, in Benevento, Italy, where he has completed a postdoctoral fellowship of two years, period of June 2012 - June 2014, within the project "Barriera Attiva" - design and prototyping of a new innovative barrier based on an innovative concept of safety combined with structural function (passive function) and active function).

His research and teaching interests include embedded systems, intelligent sensors, distributed measurement systems, digital adaptive filtering and biomedical signal processing.

Dr. Tudosa is Full Member of the IEEE Signal Processing Society and Communications Society.

Publicații selectate:

* Narcis Iulian Adochiei, Valeriu David, Ioan Tudosa, Methods of electromagnetic interference reduction in electrocardiographic signal acquisition, EcoZONE, Environmental Engineering and Management Journal, vol.10, no.4, 2011.

* Ioan Tudosa*, Cristian Gyozo Haba, Valeriu David, Narcis Adochiei, Reduction of power line interferences from electrocardiographic signals by applying adaptive filtering on Field Programmable Gate Array circuits, EcoZONE, Environmental Engineering and Management Journal, vol.12, no.6, 2013.

* Ioan Tudosa*, Pasquale Daponte, Luca De Vito, Francesco Picariello, Sergio Rapuano, Prototype design and experimental evaluation of wireless measurement nodes for road safety, Elsevier, Measurement Journal – Elsevier, Volume 57, 2014.