• Cesare Alippi

    Degree in Electronic Engineering in 1990 and PhD in 1995 from Politecnico di Milano (Italy). Currently, he is a Professor with the Politecnico di Milano (Italy) and Università della Svizzera italiana (Switzerland). His research interests are 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

    Ph.D. student.
    His research addresses learning in non-stationary environments for graphs.

  • Daniele Grattarola

    Ph.D. student.
    His research focuses on graph machine learning and graph neural networks.

  • Pietro Verzelli

    Ph.D. student.
    He studies the dynamical properties of recurrent neural networks.

  • Andrea Cini

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

  • Ivan Marisca

    Ph.D. student.
    He is interested in reinforcement learning and prediction for smart power grids.

  • Matteo Riva

    Scientific collaborator.
    His research focuses on deep learning methods for smart power grids.

  • Luca Butera

    Scientific collaborator.
    Working on object detection and computer vision.

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.


  • 2018-2019: Alberto Gasparin, Politecnico di Milano, Milan (Italy), deep learning prediction and smart grids.