Martin Kersten
- Full Name
- Prof.dr. M.L. Kersten
- Function(s)
- Professor - Universiteit van Amsterdam, CWI-Fellow
- Martin.Kersten@cwi.nl
- Telephone
- +31 20 592 4066
- Room
- L312
- Department(s)
- CWI Management, Database Architectures
- Homepage
- https://en.wikipedia.org/wiki/Martin_L._Kersten
Biography
Martin L. Kersten is a computer scientist with research focus on database architectures, query optimization and their use in scientific databases. He is an architect of the MonetDB system, an open-source column for data warehouses, online analytical processing (OLAP) and geographic information systems (GIS). For this work he received the prestigious ACM SIGMOD E.F. Codd Innovation Award and the ACM SIGMOD Systems award. He published > 150 papers and is an ACM Research Fellow. He has been (co-) founder of several successful spin-offs of CWI.
Publications
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Zhang, Y, Koopmanschap, R.A, & Kersten, M.L. (2018). Love at first sight: MonetDB/TensorFlow. In IEEE 34th International Conference on Data Engineering, ICDE 2018. doi:10.1109/ICDE.2018.00208
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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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Holanda, P.T.T, Raasveldt, M, & Kersten, M.L. (2017). Don’t Keep My UDFs Hostage - Exporting UDFs For Debugging Purposes. In Proceedings Brazilian Symposium on Databases.
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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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Sellam, T.H.J, & Kersten, M.L. (2016). Ziggy: Characterizing query results for data explorers. In Proceedings of the VLDB Endowment (pp. 1473–1476). doi:10.14778/3007263.3007287
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Sellam, T.H.J, Cijvat, C.P, Koopmanschap, R.A, & Kersten, M.L. (2016). Blaeu: Mapping and navigating large tables with cluster analysis. In Proceedings of the VLDB Endowment (pp. 1477–1480). doi:10.14778/3007263.3007288
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Sellam, T.H.J, & Kersten, M.L. (2016). Fast, explainable view detection to characterize exploration queries. doi:10.1145/2949689.2949692
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Kyzirakos, K, Alvanaki, F, & Kersten, M.L. (2016). In memory processing of massive point clouds for multi-core systems. In Proceedings of the 12th International Workshop on Data Management on New Hardware, DaMoN 2016. doi:10.1145/2933349.2933356
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Sellam, T.H.J, & Kersten, M.L. (2016). Have a chat with Clustine, conversational engine to query large tables. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics. doi:10.1145/2939502.2939504
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Gawade, M.M, Kersten, M.L, & Simitsis, A. (2016). Multi-core column-store parallelization under concurrent workload. In Proceedings of the 12th International Workshop on Data Management on New Hardware DaMoN 2016. doi:10.1145/2933349.2933350
Current projects with external funding
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The SciLens-II Infrastructure, Big Data at work (Scilens-II)
Professional activities
- Board Member: CEO - MonetDB B.V.
- Board Member: CEO - MonetDB Solutions
- Founder: MonetDB BV
- Board Member: VectorWise
- Board Member: Amsterdam New-Media Association - [ANMA]
- Committee member: DAMON Workshop (colocated with ACM SIGMOD)
- Committee member: IEEE International Conference on Multimedia and Expo - [ICME]
- Committee member: ACM Conference on Information and Knowledge Management - [CIKM]
- Committee member: ToKeN2000 - NWO 2005-01
- Committee member: ACM SIGMOD International Conference on Management of Data - [SIGMOD]
- Board Member: Helsinki Institute for Information Technology
- Board Member: Fraunhofer IPSI - GMD IPSI
- Side Position: Spinque
- Member: Dutch Research School for Information and Knowledge Systems - [SIKS]
- Editor: Journal: VLDB Journal
- Consultant: Philips Research
- Organizer: XLDB
- Organizer: ACM SIGMOD AWARDs
- Member: CWI Fellow
Grants
- NWO Middlegroot "SciLens2" (2016-2018) (2016)
- NWO Middlegroot "SciLens" (2010-2015) (2010)
Awards
- ACM Systems Award (2016)
- "The Wildest Idea" Award CIDR Gong Show "The Wildest Idea" award for ""Big Data Space Fungus" (2015) (2015)
- ACM SIGMOD Edgar F. Codd Innovations Award (2014)
- Best Paper Runner Up SIGMOD (2009)
- VLDB 10-year - Best Paper Award 27 August (2009)