People
Meet the GMLG staff
Group leader
Cesare Alippi
Professor with Università della Svizzera italiana and Politecnico di Milano
IEEE Fellow - ELLIS Fellow
His research focuses on graph-based learning, learning in non-stationary environments, lifelong learning, intelligence in embedded, cyber-physical systems and the Internet-of-Things.
Research Team
Daniele Zambon
Post-doc Researcher
His research focuses on learning in non-stationary environments with spatiotemporal and graph data.
Andrea Cini
Ph.D. Student
He is interested in relational inductive biases for the processing of spatiotemporal data.
Ivan Marisca
Ph.D. Student
His studies concern the analysis and prediction of irregular spatiotemporal data.
Alessandro Manenti
Ph.D. Student
He studies spatiotemporal data processing using graph latent spaces.
Tommaso Marzi
Ph.D. Student
His research focuses on graph-based prediction and control in reinforcement learning.
Stefano Imoscopi
Research Collaborator
He works on applied research projects. His focus is on time series forecasting for the energy industry.
External
Lorenzo Livi
Assistant professor at the University of Manitoba, Winnipeg (Canada)
His research interests lie at the intersection of machine learning and complex dynamical systems, with particular emphasis on graph-based methods.
Alumni
- Pietro Verzelli, Post-doc Researcher at University Hospital Bonn (UKB).
Ph.D., relationships between dynamical systems and machine learning. (2017-2022) - Daniele Grattarola, Research Scientist at Isomorphic Labs.
Ph.D., graph neural networks for dynamical systems and computational biology. (2017-2021) - Alberto Gasparin, Applied Scientist at Amazon Research (Berlin).
Politecnico di Milano, Milan (Italy), deep learning prediction and smart grids. (2017-2021)