Smart Data Services
Research Group
Prof. Dr.-Ing. Christian Decker
Christian Decker is a professor for Smart Data Services at the Faculty of Informatics at the Reutlingen University of Applied Sciences. He studied computer science with a focus on telematics at the University of Karlsruhe and, in 2009, promoted in the field of "Ubiquitous Computing". He then switched to a medium-sized company for public transport systems. There, he directed the area for statistical evaluations of mass data generated by the on-board computers of large vehicle fleets and used for quality proofing and optimization of public transport services.
His research focuses on smart data services as well as data products in data-intensive environments and Internet of Things (IoT).Webseite: cdeck3r.com
Prof. Decker is responsible for the study programs Bachelor Digital Business and Master Digital Business Engineering
Building HHZ Böblingen
Room 132
Phone +49 7121 271 4105
http://www.cdeck3r.com
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Sebastian Kotstein
Building HHZ Böblingen
Room 120
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Research
The research group Smart Data Services investigates novel methods, architectures and technologies for services computing in data-intensive environments. Examples of such environments are M2M applications, telematic networks, and Internet-of-Things (IoT).
Smart Data Services are technical and functional building blocks that integrate, process and provide data for a specific application. As a result, data products are created that enhance existing products with more data intelligence or offer completely new functions for the user.
At the HHZ, smart data services based on IoT technologies support the teaching and learning of students in a 24/7 smart environment.
PublicationsBeigl, M., Riedel, T., Decker, C. Smart Objects - Auswirkungen massengedruckter Einfachelektronik auf die IT-Infrastrukturen. it - Information Technology, Jahrgang 50 (2008) Heft 3, S. 175-184, DOI 10.1524/ itit.2008.0481
Decker,C., Berchtold, M., Weiss F. Chaves, L., Beigl, M., Roehr, D., Riedel, T., Beuster, M., Herzog, T., Herzig, D. Cost-Benefit Model for Smart Items in the Supply Chain. Conference on The Internet of Things, March 26-28, Zurich, Lecture Notes in Computer Science, Volume 4952/2008, ISBN 978-3-540-78730-3, pp. 155-172
Decker, C., van Dinther, C., Müller, J., Schleyer, M., Peev, E. Collaborative Smart Items. UbiLog @ Informatik 2007, Sept. 24-27 2007, Bremen, GI Proceedings 110, Band 2, ISSN 1617-5468, ISBN 978-3-88579-204-8
Riedel, T., Decker, C., Scholl, P., Krohn, A., Beigl, M. Architecture for Collaborative Business Items. 20th International Conference on Architecture of Computing Systems, Zurich, Switzerland, Proceedings, Volume 4415 of Lecture Notes in Computer Science (LNCS). Springer, pp. 142-156, 2007.
Decker, C., Spiess, P., sa de Souza, L.M., Beigl, M., Nochta, Z. Coupling Enterprise Systems with Wireless Sensor Nodes: Analysis, Implementation, Experiences and Guidelines. Workshop on Pervasive Technology Applied (PTA) at the International Conference on Pervasive Computing 2006, May 2006, Pervasive 2006 Workshop Proceedings, May 2006, ISBN 978-3-00-018411-6, pp. 393-400
Decker, C., Krohn, A., Beigl, M., Zimmer T. The Particle Computer System. IPSN Track on Sensor Platform, Tools and Design Methods for Networked Embedded Systems (SPOTS). Proceedings of the ACM/IEEE Fourth International Conference on Information Processing in Sensor Networks 2005, Los Angeles, USA
The teaching is organized as "Data Driven Lectures".
Courses for the Bachelor's degree programme in Business Information Systems:
- Statistics
- Software Engineering
- Computer Networks
Courses offered for the Master's programme Digital Business Engineering
- Internet-of-Things (IoT)
Current projects take place within the scope of the university education. They cover the areas
- Internet of Things (IoT)
- Smart Environments
- Machine Learning & Data Products