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Joseph M. Hellerstein

Chancellor's Professor
EECS Computer Science Division
UC Berkeley

Joseph M. Hellerstein

Research Interests

My background is in Database Systems. My research focuses broadly on data-oriented systems and the way they drive computing. Recently this includes distributed programming models for Cloud Computing, human-computer interface issues in data acquisition, visualization and transformation, large-scale analytics, distributed systems and networking.

My research is driven by active collaborations with colleagues in a wide variety of fields including Programming Languages, Human-Computer Interaction, Machine Learning, Networking, Security, and Theoretical Computer Science.

Current Projects

  • BOOM and bloom: Orders Of Magnitude simpler code for the Cloud.
  • d^p ("deep"): Data to the People
  • Past Projects

    BayesStore: Probabilistic data management

    Declarative Networking and the P2 system

    Querying, monitoring, and networking using wireless sensor networks

    PIER: A peer-to-peer query engine based on distributed hash table (DHT) overlay technologies.

    Telegraph: An Adaptive Dataflow System for networked data and services.

    TinyDB: A query processing engine for ad-hoc wireless sensor networks.

    CONTROL: Interactive Analysis of Massive Datasets, including online aggregation, online data cleaning (Potter's Wheel), online data mining and scalable spreadsheets.

    GiST: Generalized Indexing (GiST for PostgreSQL, libgist), Access Method Profiling and Debugging (amdb), and Indexability

    Open Source Software


    Last modified: $Date: 2011/11/24 07:51:37 $ by Joe Hellerstein