Massimiliano Luca

Massimiliano.Luca@student.unibz.it

Faculty of Engineering
Dominikanerplatz 3 - piazza Domenicani, 3
39100
Bozen-Bolzano

Links

Short bio

I am a Ph.D. student in the Faculty of Computer Science at the Free University of Bolzano and in the Mobile and Social Computing Lab at Fondazione Bruno Kessler.
I am broadly interested in computational sustainability and machine learning methods to predict, generate human mobility. Human mobility is highly connected with modern society's multiple challenges such as migration, pollution, spreading of diseases, and many others. In general, I develop machine learning methods to overtake some of these challenges to bridge computer science with other disciplines.

Main Research Areas

Deep Learning
Human Mobility
Explainable AI
AI for Social Good

Info

If you want to get in touch, please use mluca@fbk.eu

Publications

Luca, Massimiliano, et al. "A Survey on Deep Learning for Human Mobility." arXiv preprint arXiv:2012.02825 (2020).

Simini, Filippo, et al. "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information." arXiv preprint arXiv:2012.00489 (2020).

Luca, Massimiliano, et al. "An Architecture-independent Data Model for Managing Information Generated by Human-chatbot Interactions." Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development. SciTe Press, 2020.

Luca, Massimiliano, et al. "Leveraging Mobile Phone Data for Migration Flows." arXiv preprint arXiv:2105.14956 (2021).

Khaidem, Luckyson; Luca, Massimiliano et al. "Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework." IEEE Access 8 (2020): 171528-171541.

Angeli, Lorenzo, et al. "Prove Me Wrong! How Debating Becomes the Secret Weapon to Teach ICT Students Innovation and Entrepreneurship." 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE, 2020.