Arianna Mencattini, Assistant Professor

Dept. of Electronic Engineering, Univ. of Rome Tor Vergataa

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Arianna Mencattini received the M.S. degree in Electronic Engineering from the University of Rome Tor Vergata, Rome, Italy in 2000 summa cum laude and the Ph.D. degree for her researches on Fuzzy logic systems for modelling in 2004, from the same University. In 2001 she received the award of a Young Researchers Grant and in 2004-2005 she had a scholarship within the Sixth Framework Programme of the European Community at the University of Rome Tor Vergata. Since 2006 she is Researcher and Assistant Professor, at the Department of Electronic Engineering, University of Rome Tor Vergata. She was a member of the IEEE Society and at present of the Italian Electrical and Electronic Measurement Group. At present she teaches a course on Image Processing, Master Degree in Electronic Engineering and a course on Measurement systems for mechatronics for Mechatronics Engineering master degree. She was Principal Investigator of project PainTCare, Personal pAIn assessemeNT by an enhanCed multimodAl architecture,an Uncovering Excellence project, funded by University of Rome Tor Vergata, for the automatic assessment of pain in post-surgical patients. 2016: She is Team Member in the Horizon 2020 European, Call for proposals: H2020-ICT-2016-2017 (H2020-ICT-2016-1) Proposal: 732541 —PhasmaFOOD – PhasmaFOOD: Portable photonic miniaturised smart system for on-the-spot food quality sensing. Since 2018 She is Team Member of Regional project C3P0 for the automatic pain assessment in post-surgical patients. Since 2017 she is also involved, at the University of Rome Tor Vergata, in the Organ-on-Chip Laboratory shared with Institute of Photonic and Nanotechnology of CNR. She authored more than 115 scientific papers, 17h-index, 1100 citations (scopus). She has also co-authored two teaching monographs, three book-chapters, and a book. Her main research interests relied on the signal and image analysis for medical applications. Since 2017, she worked in the development of video and image analysis algorithms for the study of moving cells in biological experiments on Organ-on-chips devices.

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