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Full Time Faculty PhD in Econometrics and Business Statistics, Monash University, Australia Phone: +880-2-55668200 Ext: 6070 |
| Curriculum Vitae |
Dr Atikur R. Khan is an Associate Professor at the Department of Management, North South University. He has worked at CSIRO and Qantares – Australia to develop statistical methods for privacy preserving analytics, forecasting methods, and machine learning algorithms for trading automation. After graduation from Monash University with PhD in Econometrics and Business Statistics, he joined the CSIRO as a research fellow and conducted research on customer data privacy and confidentiality protection. Some of his research works have been published in Australian & New Zealand Journal of Statistics, Data & Knowledge Engineering, Statistics and Computing, Journal of Time Series Analysis, International Journal of Forecasting, Journal of the American Medical Informatics Association, International Journal of Data Science and Analytics, Journal of the Franklin Institute, and American Journal of Mathematical and Management Sciences.
He has more than 18 years of experience in teaching and research in several reputed institutes. Following the graduation with MSc in Statistics, he was appointed a Lecturer in Statistics at University of Rajshahi in 2002, promoted to an Assistant Professor of Statistics in 2005, and remained affiliated with this university until 2014. He has also worked at Gulf University for Science and Technology, Kuwait and American International University – Bangladesh. He is competent in using R, Python, Apache Spark, MySQL, Tableau, and GitLab. Areas of his expertise include statistical disclosure control, forecasting, time series analysis and statistical machine learning for data-driven decision making.
Biswas, M. I., Talukder, M. S., and Khan, A. R. (2024). Who do you choose? Employees' perceptions of artificial intelligence versus humans in performance feedback, China Accounting and Finance Review, 26(4): 512 - 532.
Shareef, M. A., Kim, D. Y., Khan, A. R., and Akram, M. S. (2024). Understanding the behaviour of medical tourists: Implications for strategy development, Journal of Policy Research in Tourism, Leisure and Events (In Press).
Khan, A. R., Chowdhury, A. H., and Imon, R. (2023). Deep neural network for monitoring the growth of COVID-19 epidemic using meteorological covariates, Intelligent Systems with Applications, 18: 200234.
Khan, A. R. and Hassani, H. (2023). Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring, Statistics and Its Interface, 16 (2): 189-197.
Khan, A. R., Hasan, K. T., Abedin, S., and Khan, S. (2022). Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission, Scientific Reports, 12: 18748
Khan, A. R., Abedin, S., and Khan, S. (2022). Interaction of temperature and relative humidity for growth of COVID-19 cases and death rates, Environmental Research Letters, 17: 034048.
Khan, A. R., Hasan, K. T., Islam, T., and Khan, S. (2021). Forecasting respiratory tract infection episodes from prescription data for healthcare service planning, International Journal of Data Science and Analytics, 11: 169-180.
Khan, A. R. and Hassani, H. (2019). Dependence measures for model selection in singular spectrum analysis, Journal of the Franklin Institute, 356(15): 8906-8928.
Khan, A. R. and Imon, R. (2018). Information theoretic approaches to principal component selection, American Journal of Mathematical and Management Sciences, 37(3): 293-305.
O’Keefe, C. M., Ickowicz, A, Churches, T., Westcott, M., O’Sullivan, M. and Khan, A. (2018). Assessing privacy risks in population health publications using checklist-based approach, Journal of the American Medical Informatics Association, 25(3): 315-320.
Khan, M.A.R. and Poskitt, D.S. (2017). Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application, International Journal of Forecasting, 33(1):199-213.
O’Keefe, C.M., Ayre, T., Lucie, S., Khan, M.A.R., Song, S. and Kwon, S. (2017). Perturbed robust linear estimating equations for confidentiality protection in remote analysis, Statistics and Computing, 27(3):775-787.
Khan, A.R. and Poskitt, D.S. (2016). Signal identification in singular spectrum analysis, Australian & New Zealand Journal of Statistics, 58(1):71-98.
Khan, M.A.R. and Poskitt, D.S. (2013). Moment tests for window length selection in singular spectrum analysis of short–and long–memory processes, Journal of Time Series Analysis, 34 (2): 141-155.
PhD in Econometrics and Business Statistics, Monash University, Australia
MSc in Statistics, National University of Singapore, Singapore