Filippo Maria Bianchi Homepage
I am an Associate Professor at the Department of Mathematics and Statistics at UiT the Arctic University of Norway. I also hold a part-time position as a senior researcher at NORCE the Norwegian Research Centre. I am the vice-chair of the IEEE task force on Learning for Structured Data and a member of the Northernmost Graph Machine Learning group.
My research interests lie at the intersection between machine learning, dynamical systems, and complex networks.
The main areas where I apply my research are energy analytics and remote sensing.
Recurrent Neural Networks - design of new architectures; application to load forecast and time series classification.
Graph Neural Networks - design of convolutional filters and pooling operators; clustering of attributed graphs.
Reservoir Computing - theoretical studies on internal dynamics; design of novel training methods; applications in time series prediction and system identification.
Time Series Analysis - identification of underlying system dynamics; state-space reconstruction; forecasting.
Unsupervised representation learning- combining deep learning with kernel methods; handling missing data; multivariate time series encoding.
Computer vision - segmentation, classification, and change detection in remote sensing images