Dr. Paulo Mendes is a vice-Director (2014) of COPELABS, the SITI coordinator, and an Associate Professor of University Lusofona, where he heads the PhD programme in Informatics, NEMPS. Paulo is also a co-founder of SENCEPTION Lda, a spin-off of COPELABS. He has a BEng in Informatics Engineering by Univ. Coimbra (93); MSc in Computers and Electrotecnical Engineering (1998) by IST, UTL, Lisboa, and a PhD in Informatics Engineering by Univ. Coimbra (2004). He was the Telematics Director of Fernave, S.A. (1994-1998); Invited Researcher (00-03) at Columbia University, NY, EUA; researcher at CISUC, Universidade de Coimbra (1996-2002). He was also a Senior Researcher (2003-2007) at NTT DoCoMo Euro-Labs, Munich, Germany, and the co-coordinator of the Internet Architectures and Networking area of UTM, INESC Porto (2007-2010). His research interests relate to cooperative wireless systems, self-organizing networks, and complex networks. His track-record includes over 50 scientific peer-reviewed papers. Paulo is also author in 13 international patents.
We’ll describe the NDN framework for Opportunistic Networks (NDN-Opp), which is being developed aiming to support opportunistic forwarding based on users’ interests and their dynamic social behavior. NDN-Opp will be demonstrated in a micro-blogging urban scenarios in which a user, makes use of the Now@ application to generate and share expressions of interest in the form of tagged information (e.g., nearby supermarket offers or restaurant review), as well as to generate data related to those interests. This demo aims to show how NDN-Opp allows users to benefit from locally available information.
> Creating DTN underlay for NDN, DTN face in NFD
===== Social-aware metrics derived from contextualization (40 min) =====
U
MOBILE integrates in its end-user service application the Contextual Manager (CM), a module that assists in a more efficient data dissemination via capturing and infering network and proximity context. In this tutorial we shall go over the UMOBILE contextual manager and explain two main families of routing metrics: i) how the contextual manager can provide metrics derived from encounter duration; ii) how the contextual manager can provide metrics derived from interests and interest matching.