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Dr Enamul Kabir

Dr Enamul Kabir
Name Enamul Kabir
Position Senior Lecturer (Statistics)
Section School of Mathematics, Physics and Computing
Office D122
Location Toowoomba Campus
Phone +61 7 4631 2933
Extension 2933
Email
Qualifications BSc Dhaka , MSc Dhaka , PhD USQ
Homepage https://research.usq.edu.au/researcher/81046/dr-enamul-kabir
The views expressed on staff homepages may not reflect the views of the University.

Biography

Enamul obtained PhD degree from the University of Southern Queensland (USQ) in 2011. His research focused on data mining algorithms and he developed efficient, effective and realistic methods in the privacy-preserving data-mining field, using three core techniques: statistical disclosure control, purpose-based access control and data anonymization. Enamul obtained his master and bachelor (with honours) degrees in statistics from the Department of Statistics, University of Dhaka, Bangladesh. Currently he is working as a Lecturer (Statistics) at the School of Agricultural, Computational and Environmental Sciences, University of Southern Queensland. Before holding this position, he worked as a Statistician at the School Human Movement Studies, University of Queensland, Postdoctoral Research Fellow at the School of Engineering and Information Technology at the University of New South Wales, Canberra campus (UNSW@ADFA) and at the Australian Centre of Excellence for Risk Analysis (ACERA), University of Melbourne. He also worked as a Lecturer/Assistant professor at the Department of Statistics, University of Dhaka, Bangladesh. Enamul greatly contributed to the research in the field of data mining, public health, applied statistics, biostatistics and signal processing through innovative research work. He has achieved a good publication record during his research career. His research articles have been published by the world leading journals e.g., Children and Youth Services Review, International Journal of Computational Intelligence Systems, Plos One, Defence and Peace Economics, Archives of Public Health, Future Generations Computer Systems, American Journal of Preventive Medicine, IEEE Transactions on Cloud Computing, International Journal of Obesity, Information Systems Frontiers, Acta Informatica, and Expert Systems with Applications etc. Enamul is actively involved in providing statistical advice (face-to-face, zoom and telephone) from the research design stage through to data collection, analysis and interpretation to USQ academics and researchers including PhD students via USQ Statistical Consulting Unit (SCU). His statistical advice are greatly appreciated by the USQ researchers. Enamul received USQ Publication Excellence Award in 2017.

Research Career


  • Data Management And Data Science ( 460500 )
  • Statistics ( 490500 )
  • Social Determinants Of Health ( 420606 )
  • Data Management And Data Science not elsewhere classified ( 460599 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Public Health not elsewhere classified ( 420699 )
  • Public Health ( 420600 )
  • Biostatistics ( 490502 )

Fields of Research (FoR)
• 1117 Public Health and Health Services (30%)
• 0104 Statistics (30%)
• 0801 Artificial Intelligence and Image Processing (20%)
• 0903 Biomedical Engineering (20%)

Biostatistics, Knowledge Discovery and Data Mining, Privacy and Security, Statistical Disclosure Control, EEG signal classification.

My key research interests include:
• Factors associated with the health hazards and possible solutions to overcome them.
• Statistical methods for analysing ordinal data.
• Develop efficient, effective and realistic methods in the privacy preserving data mining field.
• Efficient methods for detection and prediction of abnormality from brain data streams.

Supervision

Current supervision
o Gabrielle Menolotto. Project title “Patterns in long term weight change and the urogynaecological health of Middle Aged Australian women” (Advanced Master student). Principle Supervisor

o Nikolaos Vogiatzis. Theiss title “On the Modelling People Movement within Urban Environments” (PhD student). Associate Supervisor

o Kabir Ahmed. Project title “Role of women empowerment in reducing infant and child morality and improving women and children’s health”. Associate Supervisor.

o Irteza Islam. Project title “Infant and Young Child-feeding (IYCF) Practices in Urban Slums of Bangladesh: A Mixed Method Study” (PhD student). Associate supervisor.

o Kadhem Al-Daffaie. Project title “Statistical Methodology for Human Gait Analysis” (PhD student). Associate Supervisor.

o Maan Nihad Ibrahim. Project title “Evaluation of assessment of infrastructure construction project performance in Australia using a modified concept of earned value management” (PhD student). Associate Supervisor.

Past supervision

o Michael Erdiaw-Kwasie.Thesis title “Salient transition effects on partnership performance, stakeholder orientation strategies and CSR practices: Conceptual and empirical analyses” (PhD student). Graduated in 2017 (Associate Supervisor)

o Raaj Kishore Biswas. Thesis title “Statistical methodology for analysing ordinal outcomes of Traumatic Brain Injury” (Advanced Master student). Graduate in 2018. Associate Supervisor.

Teaching


STA2300 Data Analysis
STA3301 Statistical Models
STA8180 Advanced Statistics


15 Years

Supervision


  • Data Management And Data Science ( 460500 )
  • Statistics ( 490500 )
  • Social Determinants Of Health ( 420606 )
  • Data Management And Data Science not elsewhere classified ( 460599 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Public Health not elsewhere classified ( 420699 )
  • Public Health ( 420600 )
  • Biostatistics ( 490502 )