C O R N E A		Automatic recognition of corneal nerve structures
		The in-vivo analysis of corneal nerve fibres provides useful information about corneal pathologies and damages, as well as systemic diseases, e.g. diabetic neuropathy. My research activity deals with the automated recognition and tracking of corneal nerves, and the subsequent clinical parameters estimation.
		3D Reconstruction of the Cornea
		The purpose of my research activity is to get a 3D reconstruction of the cornea, starting from a sequence of images, from the endothelium to the epithelium. In particular, the volumetric density of keratocytes in the stroma appears to be useful to extract important clinical information on the cornea health state.
		Segmentation of Endothelial Cells
		My research activity deals with the development of an algorithm for the automatic detection and analysis of endothelial cells, whose density and morphometry are important clinical parameters.

E E G		EEG signal processing
		I work on the development of novel techniques for EEG signal processing, features extraction and data analysis to be employed in many applications such as driver drowsiness monitoring, sleep identification, characterization of EEG changes induced by hypoglycemia.

f N I R S		fNIRS signal processing
		Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging method able to investigate the functional activity of the cerebral cortex evoked by cognitive, visual, auditory and motor tasks. The aim of my research activity is to develop new metodologies for an accurate estimate of the stimulus-evoked hemodynamic response from fNIRS measurements in order to quantitatively investigate cognitive functions.