Fraunhofer IAIS (Fraunhofer)

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The Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.(Fraunhofer Society for the Advancement of Applied Research) is Germany’s leading organization of research institutions for applied research. Fraunhofer’s 60 research institutes are co-ordinating and/or contributing to large national and international industrial applied research projects, as well as to research projects targeting the service sector, national and regional governments and the EU. A staff of 17 000, the majority of whom are scientists and engineers (with university degree), generate the annual research budget of more than €1.4 billion. The Knowledge Discovery Department (KD) at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Sankt Augustin, Germany, is a research group (50 scientists) located in the field Machine Learning and Data Mining. Professional experience and expertise in this group include Data Mining and machine Learning, Visual Analytics, Distributed Computing, and Big Data architectures.

The group has extensive experiences with EU projects, having coordinated in the last 6 years five ICT projects and participated in more than 18. To mention a few, Fraunhofer coordinates the LIFT project (local inference in massively distributed systems, 2010-2013), the AntiPhish project (Anticipatory Learning for Reliable Phishing Prevention, 2006-2009) and the KDubiq Coordination Action (Knowledge Discovery in Ubiquitous Environments, 2006-2008), and is currently involved in the following projects directly related to Big Data: Insight (Intelligent Synthesis and Real-Time Response using Massive Streaming of Heterogeneous Data, 2012-2015), Dicode (Mastering Data-Intensive Collaboration and Decision Making, 2010-2013), DataSim (The Science of Data for simulating the Era of Electric Vehicles, 2011-2014). The group is also currently involved in several nationally funded and industrial projects in Multimedia Mining, Spatial Data Mining and Text Mining.

 

CVs of key personnel

PD Dr. Michael Mock has studied Computer Science at the University of Bonn from 1982 to 1987, receiving his Diploma degree in 1987. He received his Doctor degree from the University of Bonn in 1995 and his Habilitation degree from the University of Magdeburg in 2004, being a member of the Department of Computer Science since then. Dr. Mock is currently working as senior scientist in the Fraunhofer-Institute for Intelligent Analysis and Information Systems in the department KD (Knowledge Discovery). His research interests include distributed systems, integrated data-mining systems and real-time systems. He has authored over 60 publications, including textbooks on programming and wireless networks. He is a member of the GI (Gesellschaft für Informatik e.V.) and its special interest group on operating systems. Dr. Mock served as European PC Co-Chair of the 28th Int. IEEE Symp. on Reliable Distributed Systems, Sept. 2009.

Dr. Mario Boley is a post-doctoral researcher at Fraunhofer IAIS. He received a PhD from the University of Bonn in 2011 for a thesis on efficient pattern discovery. A part of this thesis on randomized counting algorithms was awarded the best student paper at the IEEE International Conference of Data Mining in 2008. Since 2011, Mario Boley is a significant contributor to the EU project LIFT and to a project on well-behaved pattern discovery funded by the German National Science Foundation. Specific areas of his research interest include distributed online prediction for large scale machine learning, online co-active learning for user/system interaction, and Metropolis-Hastings algorithms for anytime pattern discovery.

Michael Kamp is a doctoral research at Fraunhofer IAIS. He received Diploma degree in Computer Science in 2011 from the University of Bonn where he studied from 2006 to 2011. Since 2010, Michael Kamp is a significant contributor to the EU project LIFT. Specific areas of his research interest include distributed monitoring of financial markets, distributed online prediction and privacy preserving mobility monitoring.

Sebastian Bothe has studied Computer Science at the University of Bonn, receiving his Diploma degree in 2010. He is currently working as research scientist in the Fraunhofer-Institute for Intelligent Analysis and Information Systems in the department KD (Knowledge Discovery). His research interests include distributed systems, mining from massive distributed streams of data and active learning. Since 2012, Sebastian Bothe is a significant contributor to the EU project INSIGHT. Sebastian Bothe is also a lecturer for big data architecture and big data anlytics within the Fraunhofer IAIS data science trainings.