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Dr Ashfaqur Rahman

Team Leader, Principal Research Scientist


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Dr. Rahman is the leader of ‘Sensor Data Analytics’ team in CSIRO. He leads a team of data scientists who specializes in development of machine learning algorithms for transforming sensor data into decisions by integrating cross-disciplinary knowledge. His key research area is Applied Machine Learning with strong focus on Agriculture and Mining applications. Some key research work by his team involves:

  • Livestock behavior modelling using machine learning algorithms from on-body sensors. This useful for understanding feed intake, feed conversion ratios, birth difficulty, and health issues that drives efficient management practices. The works are done in collaboration with CSIRO Ag & Food

  • Data driven decision support for aquaculture. A range of works under this umbrella involves development of machine learning algorithms to understand key water quality factors affecting harvest, factors affecting closure in prawn ponds, and environmental impact of oyster physiology. The works are done in collaboration with other Data61 teams and CSIRO Ag & Food

  • Integration and exploration of multi modal data sources for effective data mining to identify mineral deposits. The works are done in collaboration with CSIRO Mineral Resources

  • Adoption of Neural Network on volumetric data for grade engineering. The works are done in collaboration with CSIRO Mineral Resources

Dr. Rahman received his Ph.D. degree in Information Technology from Monash University, Australia in 2008. He has published over 100 peer-reviewed journal articles, book chapters and conference papers. He supervises a number of PhD students in collaboration with Swinburne University and Federation University. He served as reviewer of prestigious journals and conferences. He is the associate editor of Elsevier journal 'Information Processing in Agriculture'. Dr. Rahman is involved in organization of key events including IEEE DICTA [2018, 2013], MSLDA [2018, 2017, 2016, 2014]. Dr. Rahman a senior member of IEEE.

Academic Qualifications

  • 2008

    Doctor of Philosophy, Monash University, Australia

  • 2001

    Bachelor of Computer Science and Engineering, BUET, Bangladesh

Professional Experiences

  • July 2018-Present

    Principal Research Scientist
    Data61, CSIRO

  • July 2014-June 2018

    Senior Research Scientist

  • Jan 2012-June 2014

    Research Scientist

  • Aug 2009-Nov 2011

    Research Fellow
    CINS, Central Queensland University

  • Jan 2007-Aug 2009

    Assistant Professor
    Department of Computer Science, American International University Bangladesh

  • June 2003-Dec 2006

    PhD Student
    Monash University, Vic, Australia

  • Aug 2001-May 2003

    Dept. of CSE, BUET, Bangladesh


  • 2018-2021

    AU$ 130,000 PhD project with Swinburne University

  • 2018-2021

    AU 30,000 PhD project with Federation University

  • 2013-2017

    AU$52,500 CSIRO-UNSW Collaboration Grant, CSIRO, to undertake research on spatiotemporal data integration in sensor networks

  • 2010-2010

    AU$8,307 Seed Grant, Central Queensland University, to undertake research on Cursive Handwriting Recognition

Community and Corporate Citizenship

  • 2012-date

    Senior Member, IEEE

  • 2018-2018

    Proceedings Chair International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2018

  • 2013-2013

    Program Committee Chair International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2013

  • 2015-2015

    Program Committee Chair 10th International Conference on Green, Pervasive and Cloud Computing

  • 2014-2018

    Program Committee Chair International Workshop on Machine Learning for Sensory Data Analysis

  • 2014-date

    Adjunct Senior Lecturer, Charles Sturt University


We have publications by Dr Ashfaqur Rahman