Educational Background
Mr. Waqas Munir holds a Master of Philosophy in Statistics from Quaid-i-Azam University, completed between 2014 and 2017. His thesis, titled “New Cumulative Sum Control Charts for Monitoring Process Mean and Process Dispersion,” showcases his ability to contribute significantly to statistical methodologies. Additionally, he completed his Master of Science in Statistics at the same institution from 2011 to 2013, providing him with a strong foundational knowledge in various statistical concepts.
Life Philosophy
Mr. Munir embodies a profound enthusiasm for research and continuous learning. He recently completed his postgraduate studies and is now pursuing a Ph.D. program in Statistics. His strong foundation in statistical methodologies and programming fuels his ambition to uncover insights within the realm of Statistics and elevate his educational attainment.
Teaching Experience
His teaching experience is notable, having served at Fast University, Islamabad since Fall 2019, and at Quaid-i-Azam University, Islamabad since Spring 2023. This experience not only demonstrates his commitment to education but also highlights his role in shaping the next generation of statisticians.
Research Interests
Mr. Munir’s research interests encompass a range of statistical fields, including Statistics Process Control, Machine Learning, and Applied Statistics. His focus on practical applications of statistics positions him as a forward-thinking researcher in the field.
Publications
Mr. Munir has made substantial contributions to academic literature, with several publications in reputable journals. Notable articles include:
- “New cumulative sum charts for monitoring process variability” (2017) – This publication explores innovative approaches to process control, demonstrating Mr. Munir’s expertise in cumulative sum (CUSUM) charts.
- “Improved CUSUM charts for monitoring process mean” (2018) – Co-authored with Haq A, this work enhances existing methodologies in process monitoring, reflecting his ability to improve statistical tools.
- “New CUSUM and Shwhart-CUSUM charts for monitoring the process mean” – This research further establishes his focus on improving statistical methodologies, contributing to advancements in quality control.
Publication Top Notes
New CUSUM and EWMA charts with simple post signal diagnostics for two-parameter exponential distribution
New CUSUM and Shewhart-CUSUM charts for monitoring the process mean
Improved CUSUM charts for monitoring process mean
New cumulative sum control charts for monitoring process variability
Conclusion
In summary, Mr. Waqas Munir’s academic qualifications, teaching experience, research interests, and impactful publications position him as a strong candidate for the Best Researcher Award. His commitment to advancing the field of Statistics through rigorous research and education exemplifies the qualities sought in an award recipient.