Dr Enamul Kabir
|Position||Senior Lecturer (Statistics)|
|Section||School of Sciences|
|Phone||+61 7 4631 2933|
|Qualifications||BSc Dhaka , MSc Dhaka , PhD USQ|
The views expressed on staff homepages may not reflect the views of the University.
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.
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.
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.
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.
Currently teaching courses/programs
STA2300 Data Analysis
STA3301 Statistical Models
STA8180 Advanced Statistics
Research most recent
1. Kabir, E., Siuly, S., and Wang, H., (2018), “A computer aided analysis scheme for detecting epileptic seizure from EEG data”, International Journal of Computational Intelligence Systems, 11(1), 663-671.
2. Biswas, RK, Rahman, N., Kabir, E. and Raihan, F. (2017), “Women's opinion on the justification of physical spousal violence: A quantitative approach to model the most vulnerable households in Bangladesh”, Plos One, 12 (11), e0187884.
3. Kabir, E., Hu, J., Wang, H., and Zhuo, G. (2017), “A Novel Statistical Technique for Intrusion Detection Systems”, Future Generations Computer Systems, 79 (2018), 303-318).
Research most notable
1. Biswas, RK., Kabir, E., and Rafi, RBR., (2018), “Investment in Research and Development compared to Military Expenditure: Is research worthwhile?”, Defence and Peace Economics. Accepted (Currently Q2, was Q1 in 2014).
2. Kabir, E., Siuly, S., and Wang, H., (2018), “A computer aided analysis scheme for detecting epileptic seizure from EEG data”, International Journal of Computational Intelligence Systems, 11(1), 663-671. (Q1).
3. Biswas, RK, Rahman, N., Kabir, E. and Raihan, F. (2017), “Women's opinion on the justification of physical spousal violence: A quantitative approach to model the most vulnerable households in Bangladesh”, Plos One, 12 (11), e0187884. (Q1).
4. Khan, JR, Biswas RK, and Kabir E., (2017) “A quantitative approach to influential factors in One Day International Cricket: Analysis based on Bangladesh”, Journal of Sports Analytics. Accepted (DOI 10.3233/JSA-170260).
5. Biswas, RK, Kabir E., and King, R. (2017), “Effect of Sex and Age on Traumatic Brain Injury: A Geographical Comparative study”, Archives of Public Health, Accepted (DOI 10.1186/s13690-017-0211-y). (Q1)
6. Kabir, E., Hu, J., Wang, H., and Zhuo, G. (2017), “A Novel Statistical Technique for Intrusion Detection Systems”, Future Generations Computer Systems, 79 (2018), 303-318). (Q1)
(USQ Publication Excellence Award (2017) for achieving the highest SNIP value).
7. Biswas, RK, and Kabir E. (2017), “Influence of distance between residence and health facilities on non-communicable diseases: An assessment over hypertension and diabetes in Bangladesh”, Plos One, 12(5), e0177027. (Q1)
8. Kamruzzaman, M., Kabir, E., Rahman, A.T.M.S., Jahan, C.S., Mazumder, Q.H., Rahman, M.S. (2018), "Modeling of agricultural drought risk pattern using Markov chain and GIS in the western part of Bangladesh", Environment, Development and Sustainability, 20(2), 569-588. (Currently Q2, was Q1 in 2008)
9. Kamruzzaman, M., Rahman, A.T.M.S., Kabir, E., Jahan, C.S., Mazumder, Q.H., Rahman, M.S. (2018), "Spatio-Temporal Analysis of Climatic Variables in the Western Part of Bangladesh", Environment, Development and Sustainability, 20(1), 89-108. (Currently Q2, was Q1 in 2008)
10. Brown, W., Kabir, E., Gomersll, S., and Clark, B. (2016), “Maintaining a healthy BMI: data from a 16 year study of young Australian women”, American Journal of Preventive Medicine, 51(6), e165-e178. (IF: 4.465, Q1).
11. Erdiaw-Kwasie, M., Alam, K., Kabir, E. (2016), “Modelling Corporate stakeholder orientation: Does the relationship between stakeholder demographic characteristics and corporate social performance matter?”, Business Strategy and the Environment, 26(4), 465-479. (Q1)
12. Kabir, M.E., Siuly, Zhang, Y. (2016), “Epileptic Seizure Detection from EEG signals Using Logistic Model Trees”, Brain Informatics, 3 (2), 93-100.
13. Kabir, E., Mahmood, A.N., Mustafa, A.K., and Wang, H. (2015), “Microaggregation Sorting Framework for K-Anonymity Statistical Disclosure Control”, IEEE Transactions on Cloud Computing, Accepted (doi: 10.1109/TCC.2015.2469649). (Q1)
14. Madigan, C., Daley, D., Kabir, M.E., Aveyard, P., and Brown, W. (2015), “A cluster analysis of behaviour change strategies and the association with weight change: a longitudinal analysis”, International Journal of Obesity, 39(11), 1601-1606. (IF: 5.487, Q1)
15. Siuly, Kabir, E., Zhang, Y., and Wang, H. (2015), “Exploring sampling in the detection of Multi-category EEG signals”, Computational and Mathematical Methods in Medicine, Accepted (doi: 10.1155/2015/576437). (Currently Q2, was Q1 in 2005).
Publications in ePrints
Siuly, Siuly and Alcin, Omer Faruk and Kabir, Enamul and Sengur, Abdulkadir and Wang, Hua and Zhang, Yanchun and Whittaker, Frank (2020) A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (9). pp. 1966-1976. ISSN 1534-4320
Islam, Md. Irteja and Khanam, RashedaORCID: https://orcid.org/0000-0003-1130-2357 and Kabir, Enamul (2020) Bullying victimization, mental disorders, suicidality and self-harm among Australian high schoolchildren: Evidence from nationwide data. Psychiatry Research, 292:113364. ISSN 0165-1781
Farsi, Leila and Siuly, Siuly and Kabir, Enamul and Wang, Hua (2020) Classification of alcoholic EEG signals using a deep learning method. IEEE Sensors Journal. ISSN 1558-1748
Kabir, Md Enamul and Mahmood, Abdun Naser and Wang, Hua and Mustafa, Abdul K. (2020) Microaggregation Sorting Framework for K-Anonymity Statistical Disclosure Control in Cloud Computing. IEEE Transactions on Cloud Computing, 8 (2). pp. 408-417.
Hossain, Zakir and Akter, Rozina and Sultana, Nasrin and Kabir, Enamul (2020) Modelling zero-truncated overdispersed antenatal health care count data of women in Bangladesh. PLoS One, 15 (1):e0227824.