Filippo Maria Bianchi Homepage
I am an Associate Professor at the Department of Mathematics and Statistics at UiT the Arctic University of Norway and a senior researcher at NORCE the Norwegian Research Centre. I am the vice-chair of the IEEE Task Force on Learning for Structured Data, a member of the Graph Machine Learning Group in Lugano, the Northernmost Graph Machine Learning group, and the IEEE Task Force on Reservoir Computing.
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.
Research areas
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
You can follow my research papers on ResearchGate and Google Scholar.
The code of my projects and my tutorials are available on Github.