Massimiliano Zanin

Massimiliano Zanin
I received the Ph.D. degree in electrical and computer engineering from the Universidade Nova de Lisboa, Portugal, in 2014. I'm currently a researcher at CSIC-IFISC, where I am coordinating the ERC Starting Grant ARCTIC. With more than 140 published peer-reviewed contributions in international conferences and journals, I have a good experience in data mining and machine learning research, both the theory and the application, and I have collaborated with scientists from all over the world. My main topics of interest include Data Science and its application to several real-world problems, including the modelling and understanding of air transport or mining complex biomedical data sets. I'm a member of the editorial team of Nature Scientific Reports, the European Journal of Social Behavior, PeerJ, PeerJ Computer Science and Complexity.

Recent Publications

Characterization and Prediction of Air Transport Delays in China

Zanin, Massimiliano; Zhu, Yanbo; Yan, Ran; Dong, Peiji; Sun, Xiaoqian; Sebastian Wandelt
Applied Sciences 10, 6165 (2020)

A minimal model of hospital patients’ dynamics in COVID-19

Chaos, Solitons & Fractals 140, 110157 (2020)

Normal tissue content impact on the GBM molecular classification

Briefings in Bioinformatics , bbaa129 (2020)

Community Detection Boosts Network Dismantling on Real-World Networks

IEEE Access 8, 111954 - 111965 (2020)

Ongoing Research projects


Air Transport as Information and Computation

P.I.: Massimiliano Zanin
This project is an ERC Starting Grant of panel SH2, "Institutions, Values, Environment and Space". Air transport has by and large been studied as a transportation process, in which different elements, e.g. ...

Mobility 2030

CSIC PTI Mobility 2030

P.I.: Jose Javier Ramasco
CSIC PTI (Interdisciplinar Platform) to foment the scientific collaborations between CSIC groups/institutes and industrial partners in the ambit of urban mobility.

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