Matthias Boehm  Matthias Boehm photo       

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Professional Associations:  ACM

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Matthias Boehm is a Research Staff Member at IBM Research - Almaden; San Jose, CA, USA, where he is working since 2012 on optimization and runtime techniques for declarative, large-scale machine learning in SystemML. He received his Ph.D. from Technische Universitaet Dresden, Germany in 2011 with a dissertation on cost-based optimization of integration flows under the supervision of Prof. Wolfgang Lehner. His previous research also includes systems support for time series forecasting as well as in-memory indexing and query processing.

 

DBLP: http://dblp.uni-trier.de/pers/hd/b/Boehm_0001:Matthias 
Google Scholar: https://scholar.google.com/citations?user=jrPG2AUAAAAJ&hl=en
Github: https://github.com/mboehm7




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