Center of Excellence in Higher Education
The First Private University in Bangladesh

Dr. Atikur R. Khan

Full Time Faculty
Associate  Professor 

PhD in Econometrics and Business Statistics, Monash University, Australia
MSc in Statistics, National University of Singapore, Singapore

Phone: +880-2-55668200 Ext: 6070
Email: atikur.khan@northsouth.edu
Office: NAC 836
 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, A. R. and O’Keefe, C. M. (2017). Disclosure risk reduction for generalized linear model output in a remote analysis system, Data & Knowledge Engineering, 111: 90-102.

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.

Khan, M.A.R. and Poskitt, D.S. (2013). A note on window length selection in singular spectrum analysis, Australian & New Zealand Journal of Statistics, 55 (2): 87-108.

 

Selected Working Papers

Khan, M. A. R. and Poskitt, D. S. (2010). Description length-based signal detection in singular spectrum analysis, Monash Econometrics and Business Statistics Working Papers 13/10, 1-35.

Khan, M. A. R. and Poskitt, D. S. (2011). Window length selection and signal–noise separation and reconstruction in singular spectrum analysis, Monash Econometrics and Business Statistics Working Papers 23/11, 1-20.

Khan, M. A. R. and Poskitt, D. S. (2014). On the theory and practice of singular spectrum analysis forecasting, Monash Econometrics and Business Statistics Working Papers 3/14, 1-25.

Khan, A., Rudd, L., and Reeson, A. (2016). Modelling occupational changes in Australia, Technical Report, Data61, CSIRO. Accessed at https://publications.csiro.au/rpr/download?pid=csiro:EP161054&dsid=DS2.

 

Selected Conference Presentations

Identifying Volatility Clusters, Common Trends, and Comovement of DeFi Tokens, The 45th International Symposium on Forecasting, Beijing, China, June 29, 2025.

Prediction of Daily Respiratory Tract Infection Episodes from Prescription Data, 62nd World Statistics Congress, Kuala Lumpur, Malaysia, 2019.

Balancing Disclosure Risk with Utility for Generalized Linear Model Output in Remote Analysis Systems, Computational and Methodological Statistics Conference, Seville, Spain, 2016.

Risk-Utility Balancing Approach to Generate Synthetic Microdata, DLAN Seminar Series, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, 2016.

Risk-Utility Trade-Off for Confidentiality Protection of Perturbed Remote Analysis Output, Young Statisticians Conference, Adelaide, Australia, 2015.

Entropy Maximization for Dimension Selection in Singular Spectrum Analysis, Engineering Mathematics and Applications Conference (EMAC 2013), Brisbane, Australia, 2013.

Prediction of Tasmanian Climatic Pattern by Using Singular Spectrum Analysis, AMOS National Conference, Melbourne, Australia, 2013.

 

  • Visiting Researcher, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK: DLNA Programme, Nov 2016 – Dec 2016.
  • Postgraduate Publication Award (PPA), Monash University, Australia, 2013.
  • Monash Graduate Scholarship (MGS), Monash University, Australia, Mar 2009 – Sep 2012.
  • NUS Graduate Research Scholarship, National University of Singapore, Singapore, Jul 2006 – Jun 2008.
  • PhD in Econometrics and Business Statistics, Monash University, Australia
  • MSc in Statistics, National University of Singapore, Singapore
  • MSc in Statistics, University of Rajshahi, Bangladesh [First Class First Position]
  • BSc in Statistics (Hons.), University of Rajshahi, Bangladesh [First Class First Position]
  • More than 18 years of experience in teaching, research and delivering analytics solutions to industries
  • Administrative experience as the Chair of the Department of Management, North South University
  • Program Administrator/Central Point of Contact, AWS Academy Program, North South University
  • Optimization of Perishable Agro-Food Supply Chain in Bangladesh through AI-Based Solutions (Ongoing 2025-2027, jointly with Dr Zerin Tasnim, North South University, Funded by the UGC & World Bank).
  • Digital Transformation in Bangladesh and Upskilling Future Generation (Ongoing 2023-2026, jointly with Prof. M. A. Shareef, North South University, Funded by the Ministry of Education, Bangladesh).
  • Social Capital and Health Literacy Nexuses in Emergency Medical Services for Stroke Patients: A Hospital-Based Retrospective Study in Bangladesh (Completed in 2024 at North South University, jointly with Prof. M. A. Shareef and Prof. M. Rahman, University of Rajshahi, Funded by the NSU-CTRG).
  • Prescription Data Integration and Early Warning Generation across Weather Stations (Completed in 2018, jointly with Prof. S. Khan, Minnesota State University).
  • Integrated Privacy Assessment and Protection of Energy Use Data (Completed in 2017 at CSIRO, with C. O’Keefe).
  • BUS 172: Introduction to Statistics
  • BUS 173: Applied Statistics
  • MIS 410: Business Intelligence
  • MKT 475: Marketing Analytics 
  • SCM 605: Supply Chain Analytics
  • Member, International Statistical Institute
  • Member, International Society for Business and Industrial Statistics
  • Member, IAENG Society of Data Mining
  • Associate Editor, North South Business Review
  • Program Committee Member, ITISE (International Conference on Time Series and Forecasting), Spain (2019 - Present)
  • Machine learning algorithms
  • Forecasting and time series analysis
  • AI in finance and trading automation
  • Healthcare management