Massimiliano Luca

Senior Researcher
Center of Augmented Intelligence
Bruno Kessler Foundation

Office: PN04.01
Email: mluca AT fbk.eu

About Me

I am a Senior Researcher in the Mobile and Social Computing Lab at Bruno Kessler Foundation and the head of research at Pulse.io. I obtained my PhD in November 2023 from the Faculty of Computer Science at the Free University of Bolzano. During my PhD, I was a Visitor Researcher at MIT Connection Science and a Visiting Ph.D. Student at CSIC-IFISC. Also, I was a research intern at Fiat Chrysler Automobiles and Telefonica Research, I am working on socially aware foundation models, human-intelligent agents cooperation, and spatially-aware deep learning for urban, transportation and mobility tasks.

Ciro Beneduce, Bruno Lepri, Massimiliano Luca
Large Language Models are zero-shot Next Location Preditors
IEEE Access
Sebastiano Bontorin, Simone Centellegher, Riccardo Gallotti, Luca Pappalardo, Bruno Lepri, Massimiliano Luca
Mixing Individual and Collective Behaviors to Predit Out-of-Routine Mobility

Proceedings of the National Academy of Sciences

Takahiro Yabe, Massimiliano Luca, Kota Tsubouchi, Bruno Lepri, Marta Gonzalez, Esteban Moro
Enhancing human mobility research with open and standardized datasets
Nature Computational Science
Laura Ferrarotti*, Massimiliano Luca*, Gabriele Santin*, Giorgio Previati, Gianpiero Mastinu, Massimiliano Gobbi, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
IEEE Access

Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi
Trajectory test-train overlap in next-location prediction datasets
Machine Learning - ECML-PKDD
Antonio Bucchiarone, Simone Bassanelli, Massimiliano Luca, Simone Centellegher, Piergiorgio Cipriano, Luca Giovannini, Bruno Lepri, Annapaola Marconi
Play&go corporate: An end-to-end solution for facilitating urban cyclability
IEEE Transactions on Intelligent Transportation Systems

Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
Generating mobility networks with generative adversarial networks
EPJ Data Science
Massimiliano Luca, Bruno Lepri, Enrique Frias-Martinez, Andra Lutu
Modeling international mobility using roaming cell phone traces during COVID-19 pandemic
EPJ Data Science
Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez
Emotion analysis using multilayered networks for graphical representation of tweets
IEEE Access
Marco Cardia, Massimiliano Luca, Luca Pappalardo
Enhancing Crowd Flow Prediction in Various Spatial and Temporal Granularities
The Web Conference (WWW)

Filippo Simini, Gianni Barlacchi, Massimilano Luca, Luca Pappalardo
A deep gravity model for mobility flows generation
Nature Communications
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
A Survey on Deep Learning for Human Mobility
ACM Computing Surveys

A.Y. 2021-2022 Algorithms and Data Structures / Scientific Programming

A.Y. 2020-2021 Algorithms and Data Structures / Scientific Programming

A.Y. 2019-2020 Algorithms and Data Structures / Scientific Programming

A.Y. 2019-2020 Introduction to Python

AY. 2019-2020 Introduction to Algorithms

A.Y. 2018-2019 Innovation and Entrepreneurship

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