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The ICNAS’15 organizing committee is proud to announce the following keynote speakers for the conference.
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Djamel Djenouri obtained his PhD in computer science from the University of Science and Technology (USTHB), Algiers, Algeria, in 2007, under supervision of Prof Nadjib Badache. During his PhD he visited John Moors University in Liverpool, UK, where he carried out collaborative work with researchers of the “Distributed Multimedia Systems and security” group. From 2008 to 2009 he was granted a post-doctoral fellowship from the European Research Consortium on Informatics and Mathematics (ERCIM), and he worked at the Norwegian university of Science and Technology (NTNU), in Trondheim, Norway, where he participated in the MELODY project supported by the Norwegian Research Council. Currently, Dr Djamel Djenouri is a permanent full-time researcher with CERIST research centre in Algiers. His researches focus on ad hoc and sensor networking, especially on the following topics: quality of service, security, power management, routing protocols, MAC protocols, fault tolerance, sensor and actuator networks, and vehicular applications. Dr Djamel Djenouri participated in many international conferences. He published several papers in international peer-reviewed journals and conference proceedings, and two books. He is a professional member of the ACM, and chaired workshops held in conjunction with DCOSS 2010-2012 and GlobCom 2010-2012. He also served as TPC member of many international conferences such as IEEE LCN (2009-2012), IEEE GlobCom 2013, IEEE ICUMT (2009-2012), IEEE ISABEL (2009-2012) etc., and he has been reviewer for many international Journals, including many IEEE transactions. In 2008, Djamel Djenouri was granted the best publication award from ANDRU, supported by the Algerian government, and the CERIST best researcher awards in 2010. Dr Djamel Djenouri current works on several aspects related to wireless sensor networks in the ongoing projects he manages, with more focus on applications for vehicular traffic management, integration with RFID, and internet of things for projects.
The challenging problem of time synchronization in wireless sensor networks (WSN) will be addressed. In the first part of the talk, some general concepts and problem statement will be presented, along with a detailed state-of-art on the related literature. More focus will be to given practical challenges related to the implementation in sensor motes. The solutions that we recently proposed and developed will be presented in the second part. Most of these solutions use the receiver-to-receiver principle introduced by the Reference Broadcast Synchronization (RBS), which reduces the time-critical path compared to the sender-to-receiver approach. They are also distributed and use point-to-point relative synchronization. Both local (single-hop) and multi-hop are considered; where the latter is general proposed as a smooth extension based final local estimates, with no forwarding of synchronization signals. Maximum likelihood estimators (MLE) to estimate relative skew/offset for channels with Gaussian distributed delays, as well as Exponential delays, are also presented, along with the Cramer-Rao lower bounds (CRLB) for numerically comparison with the MLE’s mean square error (MSE). The solutions have been evaluated by simulation and compared with the appropriate state-of-the-art. More importantly, Some have been implemented and tested on real motes. Results confirm micro-second level precision, and long term stability when using the skew/offset model. The challenges we faced during the implementation will be debated.
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Omar Boussaid est professeur des universités en informatique à l’université Lumière Lyon 2. Ses travaux de recherche portent sur l’entreposage et l’analyse en ligne des données complexes. Ces derniers et l’analyse sémantique (OLAP Sémantique) représentent certains des axes de ses travaux actuels. La modélisation multidimensionnelle des données textuelles et leur analyse à travers les cubes de graphes de réseaux sociaux et la détection des communautés sont des exemples d’intérêts scientifiques sur lesquels reposent actuellement son travail d’animation et d’encadrement scientifique. Ses recherches actuelles concernent le Data warehousing and mining, les entrepôts XML, le Couplage de l’OLAP avec le data mining et la recherche d’information, l’OLAP social avec la détection et l’analyse des communautés, les entrepôts et l’OLAP distribués utilisant le paradigme MapReduce et les bases de données NoSQL pour créer des cubes OLAP dans l’environnement cloud.
L’avènement du Big data provoque plusieurs défis dans la recherche scientifique et technologique. Au delà du buzz autour de ce phénomène surexploité médiatiquement et économiquement, de véritables verrous scientifiques sont posés dans un contexte où la donnée devient le centre de préoccupations des chercheurs de plusieurs communautés. Data science (ou les sciences de la donnée) sont aujourd’hui un nouveau domaine de recherche, sur lequel se penchent des chercheurs de disciplines diverses. Les entreprises sont aujourd’hui à la recherche de la « nouvelle pépite » qu’est la data scientist. Pour illustrer ces nouvelles tendances, quelques repères et problèmes scientifiques sont présentés pour illustrer quelques nouvelles pistes de recherche. A travers le croisement de la BI (Business Intelligence) et le Big date, un panorama de travaux de recherche est présenté montrant les préoccupations actuelles des chercheurs.
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