Hannes Mühleisen
- Full Name
- Dr. H.F. Mühleisen
- Function(s)
- Scientific Software Developer - DuckDB Engineering B.V., 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 – 2018 Tenure-Track Researcher, Database Architectures, CWI 2017 – 2019 Assistant Professor, Computer Systems, VU Amsterdam 2019 – 2022 Assistant Professor, Intelligent Data Engineering Lab, University of Amsterdam 2018 – Senior Researcher, Database Architectures, CWI
Publications
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Raasveldt, M, & Mühleisen, H.F. (2020). Data Management for Data Science - Towards Embedded Analytics. In Proceedings of the Conference on Innovative Data Systems Research.
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Holanda, P.T, Raasveldt, M, Manegold, S, & Mühleisen, H.F. (2019). Progressive Indexes: Indexing for interactive data analysis. Proceedings of the VLDB Endowment, 12(13), 2366–2378. doi:10.14778/3358701.3358705
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Holanda, P.T, & Mühleisen, H.F. (2019). Relational queries with a tensor processing unit. In Proceedings of the 15th International Workshop on Data Management on New Hardware. doi:10.1145/3329785.3329932
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Raasveldt, M, & Mühleisen, H.F. (2019). [Demo] DuckDB: An embeddable analytical database. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1981–1984). doi:10.1145/3299869.3320212
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Mühleisen, H.F, Bertram, A, & Kallen, M-J. (2018). Database-inspired optimizations for statistical analysis. Journal of Statistical Software, 87(4). doi:10.18637/jss.v087.i04
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Raasveldt, M, Holanda, P.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, Holanda, P.T, Mühleisen, H.F, & Manegold, S. (2018). Deep integration of machine learning Into column stores. In Advances in Database Technology - EDBT 2018 (pp. 473–476). doi:10.5441/002/edbt.2018.50
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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
Current projects with external funding
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Facebook Research Grant (Facebook)
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)