Ashraf Kibriya

Postdoctoral Fellows

Postdoctoral Fellow

Location:

3213-WS04

Social Profile:

Research Interests

Ashraf Kibriya's research interests include application of Big Data and Machine Learning techniques to real-world problems in various domains, including biology and plant sciences. In particular, he is interested in deep learning, text mining, network analysis and graph mining, and their applications to real-world problems.

Education

  • PhD, Computer Science, KU Leuven, Belgium, 2018
  • MSc, Computing Science, University of Waikato, New Zealand, 2007
  • BSc, Computing Science, University of Waikato, New Zealand, 2002

Professional Profile

  • 2018-present: Postdoctoral Fellow, KAUST, Saudi Arabia
  • 2011-2018: Doctoral Fellow, KU Leuven, Belgium
  • 2010-2011: Pre-doctoral fellow, KU Leuven, Belgium
  • 2007-2009: Database developer / Data mining specialist, Datamine Ltd., New Zealand
  • 2002-2005: Research Programmer, Machine Learning Group (WEKA group), University of Waikato, New Zealand

Awards

  • 2010 PhD scholarship from European Research Council (under MiGraNT project)
  • 2006 University of Waikato Masters Research Scholarship
  • 2005 Research Award/Scholarship from the Machine Learning research group of Department of Computer Science, University of Waikato

KAUST Affiliations