Enrico Grisan graduated in Electrical Engineering at the University of Padova in 2001, developing the thesis as visiting scholar at the Unisversity of Seattle (WA) in 1000. He was then research consultant for the University of Padova and Nidek Technologies for extracting quantitative biomarkers from retinal images. In 2005 he earned the PhD in Bioengineering jointly from University of Padova and City University London. After being intern in Siemens Corporate Research in 2005, and then post-doc fellow in Padova, he has been appointed Assistant Professor in Bioengineering since 2008. Since 2017 he is Visiting Senior Lecturer at King's College London and Honorary Research Fellow at Warwick University.

His main research activities involve classical image analysis and computer vision methods for the understanding and interpretation of biomedical images, often coupled with machine learning techniques for the extraction of hidden or implicit knowledge from images, and in particular of image-derived biomarkers, so to provide relevant guidance to the clinical end-user.
I have expertise in the application of these techniques to a wide range of data, including retinal images, confocal endomicroscopy images for virtual histology, multispectral MRI for quantifying cortical lesion burden, perfusion patterns in contrast-enhanced ultrasound, prenatal ultrasound, and neuroanatomical data from non-human mammals.

At the moment, his research has been published in 35 full papers in peer-reviewed journals, 80 conference papers, and 53 contributions to international and national conferences, plus one full paper in pre-print, summing up to a h-index of 19 and 1678 citations (Scopus). He is co-inventor in 3 international patents.
Since 2015 he is a member of the IEEE-EMBC Technical Committee on Biomedical Imaging and Image Processing, and he has been (or will be) general chair for IEEE-ISBI 2019 and IEEE-IUS 2022.


Awards
2018, Best Presentation Award, 2nd ESUR teaching course

2014 Samsung GRO Program recipient (co-PI in “Boosting Efficiency in Biometric Signal Processing for Smart Wearable Devices”)

2012 UEGW Travel grant award

2008 Nominated as “Outstanding Young Researcher” in the candidate selection procedure for the Offelli Award of the Department of Information Engineering, University of Padova

2006 Veneto Innovazione award in the category “PhD thesis”

2006 Nominated as “Outstanding Young Researcher” in the candidate selection procedure for the Offelli Award of the Department of Information Engineering, University of Padova

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