Martin Atzmueller

Associate Professor Tilburg University
Visiting Professor Université Sorbonne
Paris Cité

Contact

Tilburg University, Department of,
Cognitive Science & Artificial Intelligence
5037 AB Tilburg, The Netherlands

m.atzmuller@uvt.nl

Computational Sensemaking Lab
Google Scholar Profile
DBLP Profile

Martin Atzmueller is Associate Professor at the Department of Cognitive Science and Artificial Intelligence at Tilburg University, where he heads the Computational Sensemaking Lab. Furthermore, he is Visiting Professor at the Université Sorbonne Paris Cité.
He earned his habilitation (Dr. habil.) in 2013 at the University of Kassel, where he also was appointed as adjunct professor (Privatdozent). Further, he 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 Würzburg where he completed his MSc in Computer Science.

Research

Martin Atzmueller's research interests include Data Science, Artificial Intelligence, Social Sensing, Human Computing and Network Science. His work focuses on how to 'make sense' of complex data and information processes in science and industry by designing and developing approaches, methods and tools for interactive data science and intelligent analytics, leading to computational sensemaking. For instance, this includes the identification of interesting local patterns (e.g., complex structures, exceptional subgroups, and anomalies), the modeling, analysis and exploration of complex heterogeneous and multi-modal data, as well as human-machine learning and decision support. By connecting computational approaches with the human cognitive, behavioral, and social contextual perspectives - thus linking technologies with their users - the goal is to augment human intelligence and to assist human actors in all their purposes, both online and in the physical world.

Selected Publications

+++ List of All Publications +++

Recent Projects/Activities

Frameworks and Tools

(c) 2018 Martin Atzmueller