• 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.

  • Slobodan Lukovic

    Post-doc researcher.
    His work is focused on the energy efficiency and reliability of Smart Grids.

  • Daniele Zambon

    Post-doc researcher.
    His research focuses on learning in non-stationary environments with spatio-temporal and graph data.

  • Andrea Cini

    Ph.D. student.
    He is interested in representation learning for reinforcement learning and prediction.

  • Ivan Marisca

    Ph.D. student.
    His studies concern the analysis and prediction of irregular spatio-temporal data.

  • Luca Butera

    Ph.D. student.
    Working on object detection and computer vision.

  • Alessandro Manenti

    Ph.D. student.
    He studies spatio-temporal 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 GIS and environmental data analysis.

External collaborators

  • Lorenzo Livi

    Assistant professor at the University of Manitoba, Winnipeg (Canada) and University of Exeter, Exeter (United Kingdom).

  • Filippo Maria Bianchi

    Associate professor at the Arctic University of Norway, Tromsø (Norway). His research covers deep learning in recurrent neural networks, graph neural networks, time series analysis, and reservoir computing.


  • 2017-2022: Pietro Verzelli, Ph.D., relationships between dynamical systems and machine learning.
  • 2017-2021: Daniele Grattarola, Ph.D., graph neural networks for dynamical systems and computational biology.
  • 2018-2019: Alberto Gasparin, Politecnico di Milano, Milan (Italy), deep learning prediction and smart grids.