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 has a leading role in the bIoTope H2020 project (Building an IoT OPen innovation Ecosystem for connected smart objects), which is a 9.6M€ project involving 21 partners amongst which three smart cities (Brussels Region, Helsinki and Greater Lyon).

He has broad expertise in Internet of Things, Networking, Interoperability, Context-Awareness, Product Lifecycle Management, Multi-Criteria Decision Making, Fuzzy Logic and Semantic Web.

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).