Till Riedel
Scholar

Till Riedel

Google Scholar ID: Gb0nuLcAAAAJ
Karlsruhe Institute of Technology (KIT)
Machine LearningInternet of ThingsAir Quality
Citations & Impact
All-time
Citations
1,094
 
H-index
18
 
i10-index
30
 
Publications
20
 
Co-authors
61
list available
Resume (English only)
Academic Achievements
  • Budde, Matthias et al. “Participatory sensing or participatory nonsense? Mitigating the effect of human error on data quality in citizen science.” Proc. ACM IMWUT, 2017.
  • Budde, Matthias, Till Riedel et al. “SmartAQnet: remote and in-situ sensing of urban air quality.” In Remote Sensing of Clouds and the Atmosphere XXII, 2017.
  • Touliou, Katerina et al. “A Framework for Evaluating the Implementers’ Experience in Making Existing Products Accessible: The Prosperity4all Approach.” HAITAP 2015.
  • Kocsis, Otilia et al. “DSpace: An inclusive repository for cost-efficient development of accessible control interfaces.” IEEE SSCI 2016.
  • Riedel, Till. “The TIMBUS Context Model.” TIMBUS Project Whitepaper.
  • Neumann, Martin, Till Riedel et al. “Monitoring for Digital Preservation of Processes.” CONTEXT 2011.
Background
  • Lab leader at TECO (Technology for Pervasive Computing), within the Chair for Pervasive Computing Systems led by Michael Beigl
  • Lecturer at Karlsruhe Institute of Technology (KIT)
  • Leads the data science team at the state-funded Smart Data Solution Center Baden-Württemberg, supporting SMEs in the region
  • Coordinates nationally funded components of the Smart Data Innovation Lab, a Big Data competence center for industrial data research
  • Serves on the KIT Konvent as an employee representative on the supervisory board for the division of Informatics, Economics, and Society