Research Interests

Numerical, statistical and Machine Learning methods with applications to atmospheric physics, biology and finance:

• Clustering and variable selection for functional data

• Denoising and Classification (supervised and unsupervised) of multispectral/hyperspectral images

• Cloud detection

• Mass balance method to quantify trace gas emissions

• Analysis and simulation of nonlinear dynamical systems

• Parameter estimation in biological models

Stochastic processes:

• Stochastic models for the dynamics of single and coupled neurons

• Cyber risk estimation

• Stochastic mortality models

• Markov Switching models

Numerical Methods for PDE:

• Fractional Differential Models

• Shallow water in meteorology on structured and unstructured grids

• Numerical simulations of the heat flow in a bioreactor

• Kinetic schemes for Navier Stokes equation

• Variational methods for image segmentation and classification

• Application to the segmentation and classification of remotely sensed images and biomedical images

Scientific dissemination:

• IAC representative in CREO (Campania region CNR outreach network)

• Conferences and expositions addressed to students/teachers/generic public

• Participation in Science festivals

• Editorial Board member of the MaddMaths! website