Quaid-i-Azam University, Pakistan
๐จโ๐Profiles
๐ Early Academic Pursuits
His academic journey began with a Bachelor's degree in Statistics from the University of Sindh, Jamshoro, completed in February 2018. His passion for statistical theory and applications led him to pursue an M.Phil. in Statistics at Quaid-i-Azam University, Islamabad, where he graduated in December 2020. During this time, he developed a robust foundation in statistical methodologies and analytical problem-solving.
๐ผ Professional Endeavors
Moiz embarked on his professional career as a Lecturer in Statistics at Shaheed Benazir Bhutto University (SBBU), Nawabshah, from February 2021 to July 2023. In this role, he taught statistical theory and application, mentored students, and actively participated in academic research. Currently, Moiz serves as a Lecturer in Statistics at Govt. Degree College TandoJam, District Hyderabad, Pakistan, where he continues to shape the minds of future statisticians and contributes to the field through teaching and research.
๐ Contributions and Research Focus
His research interests include statistical methods, data analysis, and their practical applications across various domains. His academic endeavors aim to bridge theoretical knowledge with real-world statistical problems, enhancing understanding and innovation in statistical science.
๐ Impact and Influence
His dedication to education and research has left a significant mark on the institutions he has served. His students consistently appreciate his ability to simplify complex concepts, fostering a deep understanding of statistics.
โ๏ธ Academic Cites and Contributions
As a researcher, Moiz has delved into various statistical topics, contributing to the academic community with publications and collaborations. While his academic citations continue to grow, they reflect his commitment to advancing statistical research and its applications.
๐ ๏ธ Technical Skills
He is proficient in a wide range of statistical and programming tools, including R, Python, MATLAB, Mathematica, STATA, SPSS, and EVIEWS. These skills enable him to analyze complex datasets and model statistical problems effectively.
๐งโ๐ซ Teaching Experience
With experience in lecturing since 2021, Moiz has taught subjects encompassing statistical theory, data analysis, and applied statistics. His teaching style emphasizes clarity, engagement, and practical application, ensuring his students gain both knowledge and confidence in statistics.
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Legacy and Future Contributions
He envisions leaving a lasting legacy in the field of statistics by fostering analytical thinking among students and contributing innovative solutions to statistical challenges. His future contributions include further research, academic mentoring, and collaborations to advance the discipline.
๐ฎ Vision for Statistical Education
Moiz aspires to create a transformative impact in statistical education by integrating advanced tools like AI and machine learning into his teaching and research. His goal is to ensure the next generation of statisticians is equipped to address emerging challenges in data-driven decision-making.
๐Notable Publications
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- Authors: Daniyal, M.; Qureshi, M.; Marzo, R.R.; Aljuaid, M.; Shahid, D.
- Journal: BMC Health Services Research
- Year: 2024
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- Authors: Hussain, I.; Qureshi, M.; Ismail, M.; Zywioลek, J.; Lรณpez-Gonzales, J.L.
- Journal: Heliyon
- Year: 2024
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- Authors: Iftikhar, H.; Qureshi, M.; Zywioลek, J.; Lรณpez-Gonzales, J.L.; Albalawi, O.
- Journal: Frontiers in Environmental Science
- Year: 2024
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- Authors: Daniyal, M.; Tawiah, K.; Qureshi, M.; Kamal, M.; Ur Rehman, M.
- Journal: PLoS ONE
- Year: 2023
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- Authors: Qureshi, M.; Ahmad, N.; Ullah, S.; Raza ul Mustafa, A.
- Journal: Heliyon
- Year: 2023
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- Authors: Khan, A.; Qureshi, M.; Daniyal, M.; Tawiah, K.
- Journal: Health and Social Care in the Community
- Year: 2023
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- Authors: Qureshi, M.; Khan, A.; Daniyal, M.; Tawiah, K.; Mehmood, Z.
- Journal: Applied Computational Intelligence and Soft Computing
- Year: 2023