Luis MOREIRA-MATIAS

Biographical note
Dr. Luis Moreira-Matias received his Ms.c. degree in Informatics Engineering and Ph.d. degree in Machine Learning from the University of Porto, in 2009 and 2015, respectively. During his studies, he won an International Data Mining competition held during a Research Summer School at TU Dortmund (2012).
Luis served in the Program Committee of multiple high-impact research venues such as ECML/PKDD, IEEE ITSC or TRB, among others.
Currently, he is Senior Researcher at NEC Laboratories Europe (Heidelberg, Germany), integrated in the Intelligent Transportation Systems group. His research interests include Machine Learning, Intelligent Public Transports and Big Data Analytics applied to improve Urban Mobility in general. He authored 30+ publications on related topics.

Presentation: Optimizing Mass Transportation with Artificial Intelligence & Data Mining
The paper discusses the application of proprietary Machine Learning techniques to the Transportation area. The system covered by this system is Advanced Traffic/Transit Management Centers (ATMC). This ATMC have different use cases concerning the end-user types, which range from highway operators, transit agency and/or authority or on-demand transportation networks (e.g. taxi/car-sharing). The transportation operational data (TOD) has a large Knowledge embedded. By leveraging on both historical and real-time TOD, we are able to adequately predict usage scenarios in the future with a very high accuracy. Such usage scenarios can then help operators to either reduce OPEX or increase their revenues.