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USD 25 /hr
Hire Raja Fawad Z.
Pakistan
USD 25 /hr

I love to play with data. Its my hobby and profession.

Profile Summary
Subject Matter Expertise
Services
Research Gray Literature Search, Systematic Literature Review, Secondary Data Collection
Data & AI Statistical Analysis, Data Visualization, Big Data Analytics
Work Experience

Lecturer

Sukkur Institute of Business Administration

August 2017 - Present

Lecturer (Statistics)

Shaheed Benazir Bhutto University, Shaheed Benazirabad

December 2015 - August 2017

Teaching Fellow

Riphah International University

February 2014 - December 2015

Education

Mphill Ecionometrics (Statistics and Econometrics)

Pakistan Institute of Development Economics

September 2012 - April 2015

M.Sc. (Statistics)

Quaid-i-Azam University

February 2009 - July 2011

Certifications
Publications
JOURNAL ARTICLE
(2020). Image Interpolation via Gradient Correlation-Based Edge Direction Estimation . Scientific Programming.
(2020). On handling inertia problem of memory charts using break approach . Quality and Reliability Engineering International.
Zafar, R.F., Riaz, M.(2020). On handling inertia problem of memory charts using break approach . Quality and Reliability Engineering International. 36. (5). p. 1708-1715.
Khan, S., Lee, D.-H., Khan, M.A., Siddiqui, M.F., Zafar, R.F., Memon, K.H., Mujtaba, G.(2020). Image Interpolation via Gradient Correlation-Based Edge Direction Estimation . Scientific Programming. 2020.
Faisal M, Zafar RF, Abbas N, Riaz M, Mahmood T. A modified CUSUM control chart for monitoring industrial processes. Qual Reliab Engng Int. 2018;34:1045–1058. https://doi.org/10.1002/qre.2307 .
Faisal, M., Zafar, R.F., Abbas, N., Riaz, M., Mahmood, T.(2018). A modified CUSUM control chart for monitoring industrial processes . Quality and Reliability Engineering International. 34. (6). p. 1045-1058.
Raja Fawad Zafar and Tahir Mahmood and Nasir Abbas and Muhammad Riaz and Zawar Hussain(2018). A progressive approach to joint monitoring of process parameters . Computers & Industrial Engineering. 115. p. 253 - 268.
Zafar, R.F., Mahmood, T., Abbas, N., Riaz, M., Hussain, Z.(2018). A progressive approach to joint monitoring of process parameters . Computers and Industrial Engineering. 115. p. 253-268.
Raja Fawad Zafar and Nasir Abbas and Muhammad Riaz and Zawar Hussain(2014). Progressive Variance Control Charts for Monitoring Process Dispersion . Communications in Statistics - Theory and Methods. 43. (23). p. 4893-4907. Taylor & Francis
Zafar, R.F., Abbas, N., Riaz, M., Hussain, Z.(2014). Progressive variance control charts for monitoring process dispersion . Communications in Statistics - Theory and Methods. 43. (23). p. 4893-4907.
Abbas, N., Zafar, R.F., Riaz, M., Hussain, Z.(2013). Progressive mean control chart for monitoring process location parameter . Quality and Reliability Engineering International. 29. (3). p. 357-367.
Progressive Mean Control Chart for Monitoring Process Location Parameter @article{doi:10.1002/qre.1386, author= {Nasir Abbas and Raja Fawad Zafar and Muhammad Riaz and Zawar Hussain}, title= {Progressive Mean Control Chart for Monitoring Process Location Parameter}, journal= {Quality and Reliability Engineering International}, volume= {29}, number= {3}, pages= {357-367}, keywords= {average run length (ARL), memory control charts, EWMA, CUSUM, progressive mean (PM), statistical process control}, doi= {10.1002/qre.1386}, url= {https://onlinelibrary.wiley.com/doi/abs/10.1002/qre.1386}, eprint= {https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.1386}, abstract= {Control charts are widely used for process monitoring. They show whether the variation is due to common causes or whether some of the variation is due to special causes. To detect large shifts in the process, Shewhart‐type control charts are preferred. Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts are generally used to detect small and moderate shifts. Shewhart‐type control charts (without additional tests) use only current information to detect special causes, whereas CUSUM and EWMA control charts also use past information. In this article, we proposed a control chart called progressive mean (PM) control chart, in which a PM is used as a plotting statistic. The proposed chart is designed such that it uses not only the current information but also the past information. Therefore, the proposed chart is a natural competitor for the classical CUSUM, the classical EWMA and some recent modifications of these two charts. The conclusion of this article is that the performance of the proposed PM chart is superior to the compared ones for small and moderate shifts, and its performance for large shifts is better (in terms of the average run length). Copyright © 2012 John Wiley \& Sons, Ltd.}} . Quality and Reliability Engineering International.