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
Post-doc Researcher
His research focuses on machine learning methods for time series analysis and graph processing.
Ivan Marisca
Ph.D. Candidate
He studies the interplay between graph deep learning and irregular spatiotemporal data.
Luca Butera
Ph.D. Student
His research focuses on model adaptability and generalization for 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.
Valentina Moretti
Ph.D. Student
Her research focuses on time series forecasting in non-stationary environments.
Alumni
- Federico Bombardieri, Data scientist at Graphsight.
Previously research collaborator on the SWAIN project. (2023-2024) - Stefano Imoscopi, Tech lead at Graphsight.
Previously research collaborator on industrial projects. (2021-2024) - Lorenzo Livi, Academic Director at the Open Institute of Technology.
Previously associate professor at the University of Manitoba, Winnipeg (Canada). (2016-2023) - 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)