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Associate Professor Shlomo Geva

Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Computational Intelligence and Signal Processing

Personal

Name
Associate Professor Shlomo Geva
Position(s)
Associate Professor
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Computational Intelligence and Signal Processing
Discipline *
Artificial Intelligence and Image Processing, Computer Software, Library and Information Studies
Phone
+61 7 3138 1920
Email
Location
View location details (QUT staff and student access only)
Qualifications

PhD (Queensland University of Technology), MAppSc (Queensland University of Technology), GradDipComComp (Queensland Inst. of Technology), BSc (Hebrew University of Jerusalem)

Keywords

clustering, cross language information retrieval, focused information retrieval, information retrieval, link discovery, search engine, text indexing, text retrieval, xml indexing, xml retrieval

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Research themes: Information

Research discipline: Computer Science

Research areas

  • Web search
  • XML search engines
  • Text search engines
  • Link discovery
  • Information retrieval
  • Document computing.
This information has been contributed by Associate Professor Shlomo Geva.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Supervision