Christian Decker is a professor and researcher with over a decade of experience specializing in engineering methods for data-intensive environments, particularly the Internet of Things and ubiquitous computing. Based in the Stuttgart region, he leads work at the Herman Hollerith Center to turn IoT data into deployable Data Products using machine/statistical learning, cloud platforms, and smart networked appliances. Previously he led a team building large-scale analytics for public transportation at init, inventing novel dark-data analysis and driver-behavior methods that resulted in multiple patents. His background spans academic research at KIT to hands-on industry solutions, blending rigorous model identification and checking with practical optimization of fleets and services. Not obvious from his profile: he bridges deep academic credentials (Dr.-Ing. in Ubicomp/IoT) with product-focused IP creation, making him effective at moving research concepts into real-world impact.
10 years of coding experience
12 years of employment as a software developer
Dr.-Ing., Ubicomp and IoT, Dr.-Ing., Ubicomp and IoT at Karlsruhe Institute of Technology (KIT)
Software for a person-sized, full body DIY Raspberry Pi based 3D Scanner
Contributions:453 commits, 6 PRs, 349 pushes in 1 year 9 months
scannerraspberry-pipythonoctoprintperson
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Christian Decker - Professor at Reutlingen University