Erik Mannens

Gepubliceerd in rubriek : Experts   Op datum : mei 2, 2020


Prof. dr. Erik Mannens is hoofd research valorisation bij imec & professor big data science aan de Universiteit Gent. Momenteel leidt hij een Data Science-team van 50+ Semantic Technologies & Artificial Intelligence onderzoekers. Voor hij in 2005 bij imec & Ghent University aan de slag ging, werkte hij meer dan 10 jaar lang als software engineering consultant en Java-architect.

Foto: IT Centraal.

Academic profile

Erik Mannens is Professor @ Data Science Lab / CTO Data Science @ iMinds / Research Manager @ Ghent University since 2005 where he has successfully managed +50 projects. He received his PhD degree in Computer Science Engineering (2011) at UGent, his Master’s degree in Computer Science (1995) at K.U. Leuven University, and his Master’s degree in Electro-Mechanical Engineering (1992) at KAHO Ghent.

Before joining iMinds-Ghent University-DataScienceLab in 2005 as research manager, he was a software engineering consultant and Java architect for over a decade. His major expertise is centered around big data analytics, metadata modeling, semantic web technologies, broadcasting workflows, iDTV and web development in general. He is involved in several projects as senior researcher and finished up his PhD on Semantic News Production; he was co-chair of the W3C Media Fragments Working Group and actively participating in other W3C’s semantic web standardization activities (Media Annotations, Provenance, Hydra, Linked Data Platform, and eGovernment).

Since 2008 Erik is paving the Open Data path in Flanders. He stood at the cradle of the first Hackathons and is a founding member of the Open Knowledge Foundation. (Belgian Chapter). Since then, he is frequently invited as Open Data evangelist at national and international events. He currently actively participates in W3C’s eGov and Data On The Web working groups. Furthermore his team is owner of the Open Sourced Linked Open Data Publishing frameworks TheDataTank (thedatatank.com), R&Wbase, RML (rml.io), and Linked Data Fragments (linkeddatafragments.org).