Tilburg University, PO Box 90153 5000 LE Tilburg, The Netherlands
Martin Atzmueller is assistant professor
at Tilburg University, visiting professor at the University of Paris, as well as adjunct professor (Privatdozent) at the University of Kassel.
He earned his habilitation (Dr. habil.) in 2013 at the University of Kassel, and received his Ph.D. (Dr. rer. nat.) in Computer Science from the University of Würzburg in 2006. He studied Computer Science at the University of Texas at Austin (USA) and at the University of Wuerzburg where he completed his MSc in Computer Science.
His research areas include Data Science, Data Mining, Network Analysis, Ubiquitous Social Media, and Big Data.
In particular, his research focuses on how to successfully analyze and design information and knowledge processes in complex ubiquitous and social environments. This is implemented by developing according methods and approaches for augmenting human intelligence and to assist the involved actors in all their purposes, both online and in the physical world.
In this context, he is directing the VIKAMINE project for subgroup discovery and analytics, and the Ubicon software platform which provides an extensible framework for building and hosting applications targeting both social and ubiquitous environments (see Conferator, EveryAware).
Martin Atzmueller, Benjamin Kloepper, Hassan Al Mawla, Benjamin Jäschke, Martin Hollender, Markus Graube, David Arnu, Andreas Schmidt, Sebastian Heinze, Lukas Schorer, Andreas Kroll, Gerd Stumme, and Leon Urbas. Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project. atp edition, (58)9 2016.
Martin Atzmueller, Martin Becker, Mark Kibanov, Christoph Scholz, Stephan Doerfel, Andreas Hotho, Bjoern-Elmar Macek, Folke Mitzlaff, Juergen Mueller, and Gerd Stumme. Ubicon and its Applications for Ubiquitous Social Computing. New Review of Hypermedia and Multimedia, (20)1:53--77, 2014.
Christoph Scholz, Martin Atzmueller, Mark Kibanov, and Gerd Stumme. Predictability of Evolving Contacts and Triadic Closure in Human Face-to-Face Proximity Networks. Journal of Social Network Analysis and Mining, (4)217, 2014.