Ph.D Scholar East China Normal University, Shanghai, China
Zameer Abbas is an accomplished academic and researcher in the field of Statistics, currently serving as an Assistant Professor at Govt. Ambala Muslim College, Sargodha, Pakistan. With a rich background in developing and enhancing control charts, his work has significantly contributed to the field of quality process control. He is known for his innovative approaches in statistical methods and has a robust publication record in renowned journals.
Profile
Scopus
🎓 Education
Zameer Abbas holds an M.Phil. in Statistics from the University of Sargodha (2017) with a CGPA of 3.25/4. He also earned a gold medal for his M.Sc. in Statistics from the University of Punjab, Lahore (2008), achieving an impressive 891/1200 marks.
💼 Experience
Zameer has extensive teaching experience, beginning as a Lecturer in Statistics at Govt. Degree College Bhagtanwala and progressing to his current role as Assistant Professor at Govt. Ambala Muslim College. Over his career, he has taught various courses, including Business Statistics, Probability Theory, and Econometrics.
🔬 Research Interests
His research interests encompass the development of new control charts, non-parametric control charts, robust control charts, and enhancing the performance of memory-type control charts. He is also interested in quality process control, econometrics, regression, probability distributions, statistical inference, Bayesian analysis, and sampling techniques.
🏆 Awards
Zameer has received numerous academic distinctions, including:
- 1st position in M.Sc. Statistics from Punjab University, Lahore.
- Scholarship from the University of Sargodha for his M.Phil. studies.
- Best student certificates for the year 2007 from the District Association Jhang and Govt. Postgraduate College Jhang.
📚 Publications
Zameer Abbas has an impressive list of publications, contributing significantly to the field of quality and reliability engineering. Here are some of his notable works:
- Abbas, Z., et al. (2019). An enhanced approach for the progressive mean control charts. Quality and Reliability Engineering International, 35(4), 1046-1060. Link
- Abbas, Z., et al. (2020). On designing an efficient control chart to monitor fraction nonconforming. Quality and Reliability Engineering International, 36(3), 547-564. Link
- Abbas, Z., et al. (2020). On Developing an Exponentially Weighted Moving Average Chart under Progressive setup: An Efficient approach to Manufacturing Processes. Quality and Reliability Engineering International, 36(7), 2569-2591. Link
- Abbas, Z., et al. (2020). Enhanced Nonparametric Control Charts under Simple and Ranked Set Sampling Schemes. Transactions of the Institute of Measurement and Control, 42(14), 2744-2759. Link
- Abbas, Z., et al. (2020). On Designing a Progressive Mean Chart for Efficient Monitoring of Process Location. Quality and Reliability Engineering International, 36(5), 1716-1730. Link