Intelligent mobility systems continuously generate massive heterogeneous spatiotemporal data from connected vehicles, roadside sensors and public transport terminals. Powered by cloud computing, big data analytics and artificial intelligence, data science has become an indispensable foundation to unlock the value of mobility data and support safe, efficient and low‑carbon transportation services. This special session brings together researchers and engineers to share cutting‑edge data‑driven theories, algorithms and practical system implementations for intelligent mobility.
It provides an interdisciplinary communication forum bridging computer science, data science and transportation engineering. The session focuses on advancing data science solutions that can be deployed on cloud and big data infrastructures, addressing key practical bottlenecks in intelligent mobility. It also seeks to inspire original and translational research, promoting the development of smarter, greener and more sustainable urban transportation systems.
Gabriel Gomes de Oliveira is a Collaborating Professor at FEEC/UNICAMP and a lecturer at Extecamp/UNICAMP since 2018, as well as an MBA supervisor at USP/ESALQ in Data Science, Project Management, and Software Engineering. He holds a Master’s (2021), Ph.D. (2022), and Post-Doctorate (2023–2026) in Electrical Engineering from FEEC/UNICAMP. Since 2018, he has been a researcher at the Visual Communications Laboratory (LCV/UNICAMP), focusing on Intelligent Transportation Systems (ITS) through Artificial Intelligence and sensor fusion. He has authored numerous publications in high-impact IEEE, ACM, and Springer Nature venues. An active leader in the international scientific community, he serves as a Springer Nature book editor, Associate Editor for journals such as Measurement (Elsevier) and Discover Applied Sciences, and has completed over 1,700 peer reviews. He is the Chair of the IEEE Sensors and Systems Joint Council South Brazil Chapter and frequently serves as General/Technical Chair and committee member for IEEE and Springer Nature international conferences.
| Name | Affiliation | |
|---|---|---|
| Prof. Dr. Ricardo Antonio Sampaio | State University of Campinas (UNICAMP), Brazil | rsampaio@unicamp.br |
| Dr. Wei Liu | Nanyang Technological University, Singapore | wliu001@ntu.edu.sg |
| Prof. David K. Miller | University of California, Berkeley, USA | dkmiller@berkeley.edu |
| Dr. Maria Beatriz Santos | Federal University of Minas Gerais (UFMG), Brazil | mbsantos@dcc.ufmg.br |
| Prof. Lars Lindqvist | KTH Royal Institute of Technology, Sweden | lars.lindqvist@kth.se |
| Dr. Kenji Sato | Kyoto University, Japan | sato.kenji@kuhp.kyoto-u.ac.jp |
| Prof. Patricia Fernandez | Polytechnic University of Catalonia (UPC), Spain | patricia.fernandez@upc.edu |
| Dr. Thiago Oliveira Castro | Federal University of Santa Catarina (UFSC), Brazil | thiago.castro@ufsc.br |
| Prof. Alexander Schmidt | ETH Zurich, Switzerland | aschmidt@ethz.ch |
| Dr. Samuel O. Adebayo | University of Toronto, Canada | samuel.adebayo@utoronto.ca |
| Prof. Junjie Guo | Zhejiang University, China | junjie.guo@zju.edu.cn |
| Dr. Fiona Gallagher | Trinity College Dublin, Ireland | gallagher.fiona@tcd.ie |
| Prof. Rodrigo M. Albuquerque | Federal University of Rio Grande do Sul (UFRGS), Brazil | albuquerque@inf.ufrgs.br |
| Dr. Benjamim Kowalski | Delft University of Technology, Netherlands | b.kowalski@tudelft.nl |
| Prof. Grace Seung | KAIST, South Korea | gseung@kaist.ac.kr |
Papers for this special session should be submitted via the EasyChair conference management system:
https://easychair.org/conferences/?conf=icccbda2027
Submission Instructions: https://icccbda.com/sub.html