Dr. Kevin Laubis
Karlsruhe Institute of Technology (KIT)
Fakultät für Wirtschaftswissenschaften
Institut für Wirtschaftsinformatik und Marketing
Kaiserstraße 89, 76133 Karlsruhe
Publications
Conference Papers
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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 -
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 -
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 -
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) -
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 -
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) -
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
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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
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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
[Masterthesis]
Status: finished
Statistical analysis of road condition using vehicle sensors of modern cars
[Masterthesis]
Status: finished
Demonstrator for visualizing diagonal scaling of cloud infrastrcture
[Bachelorthesis]
Status: finished