Andrea Cini
Postdoc researcher @ IDSIA , Università della Svizzera italiana (USI)
About
Hi! I’m a postdoc researcher at the Graph Machine Learning Group and IDSIA, at USI. My research focuses on machine learning for time series forecasting and graph processing.
You can have a look at my CV and find an updated list of my publications on Google Scholar.
Short bio
I obtained my PhD from USI under the supervision of Prof. Cesare Alippi, with a thesis on graph deep learning methods for time series forecasting. I have been a visiting researcher at Imperial College London with Prof. Danilo Mandic and previously got my MSc and BSc in Computer Science and Engineering at Politecnico di Milano.
My research has been published in several top-tier machine learning venues, including JMLR, NeurIPS, ICML, and ICLR, where I also frequently serve as a reviewer. My work on graph-based forecasting has introduced several widely used methods and won a best paper award. I am one of the creators of Torch Spatiotemporal.
News
Jul 17, 2024 | I have succefully defended my PhD thesis! |
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May 3, 2024 | Our method for hierarchical graph-based forecasting has been accepeted at ICML 2024. |
Apr 18, 2024 | I delivered a talk on graph deep learning for time series to the Oxford Networks and Society Group. |
Jan 16, 2024 | Our paper on multivariate virtual sensing has been accepted at ICLR 2024. |
Oct 10, 2023 | New paper putting together what we’ve learned on graph deep learning for time series forecasting! |