Hannes Mühleisen
- Full Name
- Dr. H.F. Mühleisen
- Function(s)
- Scientific Staff Member
- Hannes.Muehleisen@cwi.nl
- Telephone
- +31 20 592 4039
- Room
- L320
- Department(s)
- Database Architectures
- Homepage
- https://homepages.cwi.nl/~hannes/
Biography
2010 – 2012 Researcher, Networked Information Systems, FU Berlin 2012 – 2016 Postdoctoral Researcher, Database Architectures, CWI 2016 – Tenure-Track Researcher, Database Architectures, CWI 2017 – Assistant Professor, Computer Systems, VU Amsterdam
Publications
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Raasveldt, M, Holanda, P.T.T, Gubner, T.K, & Mühleisen, H.F. (2018). Fair benchmarking considered difficult: Common pitfalls in database performance testing. In Workshop on Testing Database Systems. doi:10.1145/3209950.3209955
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Scheers, L.H.A, Bloemen, S, Mühleisen, H.F, Schellart, P, Van Elteren, A, Kersten, M.L, & Groot, P.J. (2018). Fast in-database cross-matching of high-cadence, high-density source lists with an up-to-date sky model. Astronomy and Computing, 23, 27–39. doi:10.1016/j.ascom.2018.02.006
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Raasveldt, M, & Mühleisen, H.F. (2017). Don't hold my data hostage - A case for client protocol redesign. In Proceedings of the VLDB Endowment (pp. 1022–1033).
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Döhmen, T.R, Mühleisen, H.F, & Boncz, P.A. (2017). Multi-hypothesis CSV parsing. In ACM International Conference Proceeding Series. doi:https://doi.org/10.1145/3085504.3085520
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Sidirourgos, E, & Mühleisen, H.F. (2017). Scaling column imprints using advanced vectorization. Presented at the Thirteenth International Workshop on Data Management on New Hardware. doi:10.1145/3076113.3076120
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Mühleisen, H.F, Bertram, A, & Kallen, M-J. (2017). Database-Inspired Optimizations for Statistical Analysis. Journal of Statistical Software.
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Raasveldt, M, & Mühleisen, H.F. (2016). Vectorized UDFs in column-stores. In Proceedings of the 28th International Conference on Scientific and Statistical Database Management. doi:https://doi.org/10.1145/2949689.2949703
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Wan, M, Wu, C, Wang, J, Qiu, Y, Xin, L, Mullender, K.S, … Wei, J. (2016). Column store for GWAC: a high-cadence, high-density, large-scale astronomical light curve pipeline and distributed shared-nothing database. Publications of the Astronomical Society of the Pacific, 128(969). doi:10.1088/1538-3873/128/969/114501
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Jentzsch, A, Mühleisen, H.F, & Naumann, F. (2015). Uniqueness, Density, and Keyness: Exploring Class Hierarchies.
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Mühleisen, H.F, Kersten, M.L, & Manegold, S. (2015). Capturing the Laws of (Data) Nature. In Proceedings of the 7th Biennial Conference on Innovative Data Systems Research (CIDR2015). CIDR.
Current projects with external funding
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Capturing the Laws of Data Nature
Professional activities
- Organizer: Amsterdam R User Group
- Side Position: MonetDB Solutions
- Lecturer: Big Data Infrastructures & Technologies (VU)
- Lecturer: Large Scale Data Engineering (VU)
- Lecturer: Big Data infrastructures for Data Science (UvA)
Grants
- Amsterdam Data Science Research Assistants Grant (2016)
- Veni - Innovational Research Grant NWO (2015)
- NLeSC Pathfinder (2015)
- COMMIT/ Zwaluwproject (2015)
- NWO IPPSI-KIEM (2014)