2021 2nd International Conference on Signal Processing and Computer Science(SPCS 2021)
Prof. Roberto Montemanni


Roberto Montemanni.png

Prof. Roberto Montemanni

University of Modena and Reggio Emilia, Italy


Artificial Intelligence Applications in Logistics


Machine Learning has recently emerged as a powerful Artificial Intelligence tool able to bring substantial practical contributions in the most disparate sectors. This success is mainly due to the advances in ad-hoc computer architectures of the last few years and to the huge amount of data nowadays available.Machine Learning methods have the ability to automatically learn and improve tasks from experience, being often able to detect patterns/properties/strategies otherwise difficult to spot. On several tasks these methods have been shown to outperform human experts.Logistics and transportation are not exempt by such an Artificial Intelligence-driven revolution. In this talk we will highlight some new developments, presenting examples where classic optimisation problems arising in the aforementioned fields benefit from Machine Learning techniques. In particular, we will present new algorithmic ideas, where standard solving methods, that follow strategies devised by humans, are hybridised with Machine Learning techniques. The resulting methods will be shown to have a great potential, especially for online optimisation in logistics. Future perspectives will be finally discussed.


Roberto Montemanni is full professor of operations research at the University of Modena and Reggio Emilia, Italy. He also acts as an external research advisor at the Dalle Molle Institute for Artificial Intelligence, University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK. He has been administrating grants for millions of Euros and leading basic and applied research projects both at national and international levels. His main research interests are in the fields of mathematical modeling, algorithms and machine learning, with applications mainly in transportations, logistics and bioinformatics.