David F. Gleich

homepage: | http://www.cs.purdue.edu/homes/dgleich/ |

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#### Description

Professor Gleich is interested in how we can utilize matrix algebra to express -- and improve -- algorithms in network analysis and data-based simulation analysis. Matrix algebra is a particularly attractive paradigm to study these procedures as it often gives rise to efficient computational procedures in a variety of settings (serial, parallel, streaming). This research straddles a few different areas and often involves working with large datasets on high performance computing architectures (e.g. MPI clusters) and data computing architectures (e.g. MapReduce).

#### Lecture:

invited talk Personalized PageRank based Community Detection as author at The 11th Workshop on Mining and Learning with Graphs (MLG) 2013,
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