Daniele Zambon

Hello! My name is Daniele, I am a postdoctoral researcher at the University of Florence, Italy.

The focus of my research is learning in non-stationary environments, graph representation learning, and time series analysis.

name.surname@unifi.it

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News!

Short bio

I am a postdoc at the University of Florence in Italy. Previously, I have been postdoc at the Dalle Molle Institute for Artificial Intelligence (IDSIA), Università della Svizzera italiana (USI) in Switzerland , within the Graph Machine Learning Group. I am member of the IEEE Task Forces on Learning for Graphs and AI for Time Series and Spatio-Temporal Data.

I earned my Ph.D. in Informatics from USI (Jan ‘22), focusing on statistical tests for anomaly and change detection, graph representation learning, and learning in non-stationary environments. Prior to my PhD, I graduated with honors from the University of Milan (IT, Apr ‘16) with a degree in Mathematics specializing in approximation theory and mathematical statistics. During my doctoral studies, I have been visiting researcher at the University of Florida (US, Nov ‘19–Feb ‘20) and at the University of Exeter (UK, Sep ‘17, Oct ‘18). I have also been an intern at STMicroelectronics (IT, May ‘15–Apr ‘16, May ‘16–Sep ‘16) where I developed my Master’s thesis on sparse models for anomaly detection and co-authored a patent.

My work has been published in top-tier journals and conferences of the field, including JMLR, IEEE TPAMI, IEEE TNNLS, IEEE TSP, NeurIPS, ICLR, and ICML. I am associate editor for IEEE TNNLS. I hold a patent. I have co-organized workshops, special sessions and tutorials at international conferences on graph deep learning.

Publications

Please, find a list of my publications here and on Google Scholar .

Teaching

I regularly serve as a teacher in Master’s and Bachelor’s degree programs at USI, holding lectures, lab sessions, and examinations. Find a detailed list here .