Abstract: Wireless markets become larger and more diverse. Users are differentiated even more by their profile, demand and quality of experience (QoE) requirements. We have developed the u-map, a recommendation system based on crowd-sourcing. A u-map client enables the collection of network and application-based quality of service (QoS) measurements during a service session. Users can also provide their opinion scores about their perceived QoE for that session. These objective and subjective measurements are uploaded to a server for QoE modeling and recommendations to users and providers. Providers can learn about their customers, network performance, and user engagement, plan new services, and market refinements. We have applied the u-map in the context of various telecom services. Moreover, we have developed a multi-layer game-theoretical framework that enables a detailed modeling of the wireless infrastructure and user population for the analysis of wireless markets.

About the Speaker: Maria Papadopouli (Ph.D. Columbia University, October 2002) is an Associate Professor in the Department of Computer Science at the University of Crete, a Research Associate at FORTH-ICS, and a Fulbright Scholar. Currently she is a visiting Professor at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). She had been also a visiting Professor at the School of Electrical Engineering, KTH Royal Institute of Technology in Stockholm. Before that, from July 2002 until June 2006, she was a tenure-track Assistant Professor at the University of North Carolina at Chapel Hill (UNC) (on leave from July 2004 until June 2006). She has co-authored a monograph on Peer-to-Peer Computing for Mobile Networks: Information Discovery and Dissemination (Springer Eds. 2009). She has been the co-chair of nine international workshops in the area of wireless networking and mobile peer-to-peer computing. In 2004 and 2005, she was awarded with an IBM Faculty Award, while in 2013, she received a Google Faculty Award. Her research was also funded by a national Research Excellence grant (2012-2015) and she recently received the Comcast Innovation Fund.