Italy Full Professor University of Bologna Core Faculty
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Giovanni Pau is a full professor at the University of Bologna and he also serves as ATOS/Renault smart mobility Chair Professor at the Sorbonne Université, Paris France. He holds the Italian Laura in Computer Science and a PhD in Computer Engineering awarded by the University of Bologna in 1998 and 2002 respectively. Before joining UPMC, Dr. Pau was a Senior Research Scientist at the UCLA Computer Science Department. Dr. Pau’s core research interests are in Network Systems with a focus on Vehicular Networks and pervasive mobile sensor systems. He designed and built the UCLA campus vehicular testbed and the UCLA/MPI urban sensing testbed designed to enable hands-on studies on vehicular communications and urban sensing. His research contributions lead to the VERGILIUS and CORNER simulation suites designed to support mobility and propagation modeling in urban environments. More recently, Dr. Pau designed and developed VNDN the Named Data Network (NDN) protocol stack specifically adapted to work on mobile-to-mobile scenarios. Dr. Pau has published more than 80 papers in International Conferences and Archival Journals. His work on vehicular networks has been widely cited by the community and reported on in the general media including BBC Radio, Discovery Channel, The Guardian, Wired, Corriere della Sera, and the Italian National Television.


Autonomous vehicles are still in their infancy and yet are one of the greatest innovations ahead of us. They will affect the perception and role of vehicles in its core change forever the way we travel both locally and long range. Supporting autonomous transportation however is not trivial and requires the integration of several engineering and computer science technologies including machine learning, robotics, communications, security, distributed systems and many others. This course introduces the role and the open challenges of autonomous vehicles in urban scenarios focusing on the interaction between vehicles and the whole transportation system at the city level. The course specifically highlights sensing, actuation, communication and computing challenges.