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.

Publicaciones recientes

From random failures to targeted attacks in network dismantling

Wandelt, Sebastian; Lin, Wei; Sun, Xiaoqian; Zanin, Massimiliano
Reliability Engineering & System Safety 218, 108146 (2022)

Corrupted bifractal features in finite uncorrelated power-law distributed data

Olivares, Felipe; Zanin, Massimiliano
Submitted (2022)

Air delay propagation patterns in Europe from 2015 to 2018: an information processing perspective

Pastorino, Luisina; Zanin, Massimiliano
J. Phys. Complex. 3, 015001 (2022)

Classifying diseases by using biological features to identify potential nosological models

Prieto Santamaría, Lucía; Eduardo P. García del Valle; Massimiliano Zanin; Gandhi Samuel Hernández Chan; Yuliana Pérez Gallardo; Alejandro Rodríguez-González
Scientific Reports 11, 21096 (2021)

Proyectos de investigación vigentes


Air Transport as Information and Computation

I.P.: 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

I.P.: 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.

Formulario de contacto

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