Sylvain

Kubler

Doctor in Computer Science and Engineering


Sylvain Kubler is Associate Professor at the Research Center for Automatic Control of Nancy (UMR 7039) in the Université de Lorraine (France). Prior to that, he was Research Associate at Interdisciplinary Centre for Security, Reliability and Trust in the University of Luxembourg (2015-2017) and at Aalto University (2013-2015).

He was awarded the best Thesis in Automatic Control from the IFAC French Workgroup GdR MACS/Club EEA. He had a leading role in the bIoTope H2020 project (Building an IoT OPen innovation Ecosystem for connected smart objects), involving three smart cities (Brussels Region, Helsinki and Greater Lyon). Today, he has a leading role in two projects: (1) RED WoLF (Rethink Electricity Distribution Without Load Following) funded by the EU programme Interreg North-West Europe (NWE), which investigates innovative charging battery optimization strategies, as well as (2) TIC-TAC-SDN (Towards effIcient bloCkchain-based disTributed SDN ArchiteCtures) funded under the ANR JCJC programme, which investigates innovative self-adaptive blockchain consensus algorithms.

He has broad expertise in IoT/Industry 4.0, Networking Interoperability, Blockchain, and Decision Support Systems applied to various industrial sectors.

Promotional material: articles, project dissemination, …



Fuzzy AHP (FAHP) has been widely applied to solve Multiple Criteria Decision-Making (MCDM) problems in a wide range of sectors. As of the time of writing there is no state of the art survey of FAHP, we carry out a literature review of 190 application papers (i.e., applied research papers), published between 2004 and 2016, by classifying them on the basis of the area of application, the identified theme, the year of publication, and so forth. To help readers extract quick and meaningful information, the reviewed papers are summarized in various tabular formats and charts. The paper can be accessed by clicking here



This short video clip shows how « developers » (startups, SMEs, …) can benefit from the first building blocks and « Service marketplace » developed in the bIoTope H2020 project in order to (i) search for/discover and consume relevant IoT services, data streams for innovative services (i.e., to develop cross-platform and cross-domain services) (ii) to make available/expose services to the bIotope ecosystem, and potentially make money out of it (support for micro-payment).