PROF Rui Zhang

PROF Rui Zhang


  • Big Data
  • Cloud Computing
  • Data Mining
  • Data analysis Data analytics
  • Database systems
  • Management of Data and Information



  • Rui Zhang is an Associate Professor and Reader in the Department of Computing and Information Systems at The University of Melbourne. He is an Australian Research Council Future Fellow ( ). He is also the Assistant Dean (Collaboration), Melbourne School of Engineering.

    He obtained his Bachelor Degree from Tsinghua University and PhD from National University of Singapore. He has been a visiting scientist at AT&T labs-research New Jersey, Microsoft Research Redmond, and Microsoft Research Asia.

    His research interest includes big data, cloud computing, database, data mining and information management in general, particularly in areas of indexing techniques, moving object management, web services, data streams and sequence databases.

    If you are looking for a PhD supervisor, please visit my personal website ( ) before sending me an email.   


Member of

  • ACM. Member 2011 -
  • ACM SIGSPATIAL. Member, Vice Chair (2012), Chair (2013) 2011 -
  • IEEE. Member 2010 -


Selected publications


Investigator on

Additional Grant Information

  • 2008: R. Zhang, 'Indexing sequence data for efficient similarity search', Early Career Researcher Grant, University of Melbourne, $10K

    2007: R. Zhang, 'Efficient historical query support for moving object management', Early Career Researcher Grant, University of Melbourne, $30K   


Education and training

  • PhD, National University of Singapore 2006
  • BSc (Hons), Tsinghua University 2001

Awards and honors

  • Research Excellence Award, Department of Computer Science and Sofware Engineering, University of Melbourne, 2007
  • First prize for advanced maths competition, Maths Association of Beijing, 1999



Available for supervision

  • Y

Supervision Statement

  • I'm recruiting PhD students who will be working in areas of data management and data mining, especially on spatial, temporal, and web data. I'm also interested in high-performance computing including using cloud computing, distributed computing (such as map-reduce) and modern hardware. Students are preferred who have strong study records, especially in mathematics or algorithms, and of course, who are hardworking. If you are interested in being my student, please read the message on my homepage ( ) carefully and then send me an email with the requested information.