Dr Ashfaqur Rahman
Team Leader, Principal Research Scientist
Contact details:
Biography
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.
Professional Areas
Fields of Research
Academic Qualifications
-
2008
Doctor of Philosophy, Monash University, Australia
-
2001
Bachelor of Computer Science and Engineering, BUET, Bangladesh
Professional Experiences
-
July 2014-June 2018
Senior Research Scientist
CSIRO -
Jan 2012-June 2014
Research Scientist
CSIRO -
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
Lecturer
Dept. of CSE, BUET, Bangladesh
Achievements and Awards
-
Best Paper Award Nomination, IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2014, Singapore
IEEE
Grants
-
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
