Kevin Laubis

Dr. Kevin Laubis

  • Karlsruhe Institute of Technology (KIT)
    Fakultät für Wirtschaftswissenschaften
    Institut für Wirtschaftsinformatik und Marketing
    Kaiserstraße 89, 76133 Karlsruhe


Conference Papers
  1. On Predictability of Revisioning in Corporate Cash Flow Forecasting
    Knoell, F.; Setzer, T.; Laubis, K.
    2018. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS-51), Big Island, HI, January 3-6, 2018, 1583–1589, HICSS
  2. Road Condition Estimation Based on Heterogeneous Extended Floating Car Data
    Laubis, K.; Simko, V.; Schuller, A.; Weinhardt, C.
    2017. Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS2017), Big Island, Hawaii, USA, Jan 4, 2017 - Jan 7, 2017, 1582–1591, Big Island (Hawaii). doi:10.24251/HICSS.2017.191
  3. The digital transformation and smart data analytics: An overview of enabling developments and application areas
    Roedder, N.; Dauer, D.; Laubis, K.; Karaenke, P.; Weinhardt, C.
    2016. IEEE International Conference on Big Data (Big Data), Washington DC,USA, 5–8 December 2016, 2795–2802, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData.2016.7840927
  4. Road Condition Measurement and Assessment: A Crowd Based Sensing Approach
    Laubis, K.; Simko, V.; Schuller, A.
    2016. Proceedings of the 2016 International Conference on Information Systems (ICIS 2016), Dublin, Ireland, December 11-14, 2016, Association for Information Systems (AIS)
  5. Crowd Sensing of Road Conditions and Its Monetary Implications on Vehicle Navigation
    Laubis, K.; Simko, V.; Schuller, A.
    2016. The 13th IEEE International Conference on Ubiquitous Intelligence and Computing, Toulouse, F, July 18-21, 2016, 833–840, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0132
  6. Weighted aggregation in the domain of crowd-based road condition monitoring
    Laubis, K.; Simko, V.; Weinhardt, C.
    2016. INFORMATIK 2016 : Informatik von Menschen für Menschen, 46. Jahrestagung der Gesellschaft für Informatik, 26.-30. September 2016, Klagenfurt. Hrsg.: H. C. Mayr, 385–393, Gesellschaft für Informatik (GI)
  7. Cloud adoption by fine-grained resource adaptation: Price determination of diagonally scalable IaaS
    Laubis, K.; Simko, V.; Schuller, A.
    2016. Advances in Service-Oriented and Cloud Computing : Workshops of ESOCC 2015, Taormina, Italy, September 15-17, 2015, Revised Selected Papers. Ed.: A. Celesti, 249–257, Springer. doi:10.1007/978-3-319-33313-7_19
Journal Articles
  1. Enabling crowdsensing-based road condition monitoring service by intermediary
    Laubis, K.; Konstantinov, M.; Simko, V.; Gröschel, A.; Weinhardt, C.
    2018. Electronic markets, 29 (1), 125–140. doi:10.1007/s12525-018-0292-7
PhD Theses
  1. Crowd-Based Road Surface Monitoring and its Implications on Road Users and Road Authorities. PhD dissertation
    Laubis, K.
    2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000080758

Supervised Thesis

Implementation and Evaluation of a Cloud Infrastructure for Parallel Analysis of Crowd-Based Road Condition Information
[Diploma thesis]
Status: finished

Assessment and implementation of information process technologies for geo-temporal data analysis
Status: finished

Statistical analysis of road condition using vehicle sensors of modern cars
Status: finished

Demonstrator for visualizing diagonal scaling of cloud infrastrcture
Status: finished