Doctor of Philosophy in Mathematics (Specialization in Statistics; Thesis title: Mixed and Adaptive Memory Control Charts for Process Monitoring) from Department of Mathematical Sciences, Universiti Teknologi Malaysia, Skudai, Malaysia, 2021.
Master of Science in Statistics (Thesis title: An Artificial neural network approach for process variance change detection for both small and large shifts) from Department of Statistics, Lund University, Lund, Sweden, 2010.
Master of Science in Statistics from Department of Statistics, Quaid-i-Azam University Islamabad, Islamabad, Pakistan, 2008.
Statistical Process Control tools (e.g., Control Charts)
Zaman, B., Mahfooz, S. Z., Khan, N., Riaz, M., & Mehmood, R. (2023). Integration of hybrid score functions to design new adaptive EWMA control chart to monitor the process mean shift. Computers & Industrial Engineering, 109543.
Mehmood, R., Mpungu, K., Ali, I., Zaman, B., Qureshi, F. H., & Khan, N. (2023). A new approach for designing the Shewhart-type control charts with generalized sensitizing rules. Computers & Industrial Engineering, 182, 109379.
Zaman, B., Mahfooz, S. Z., Mehmood, R., Khan, N., & Imran, T. (2023). An adaptive EWMA control chart based on Hampel function to monitor the process location parameter. Quality and Reliability Engineering International, 39(4), 1277-1298.
Zaman, B. (2022). Adaptive CUSUM control charts for efficient monitoring of process dispersion. Quality and Reliability Engineering International, 38(5), 2273-2302.
Zaman, B., Riaz, M., Abujiya, M. A. R., & Lee, M. H. (2022). Adaptive CUSUM location control charts based on score functions: an application in semiconductor wafer field. Arabian Journal for Science and Engineering, 47(3), 3725-3749.