Dr Umer Daraz | Statistics Award | Best Researcher Award

Dr Umer Daraz ,Central South University, China

Umer Daraz is a dedicated statistician from Pakistan 📊. He completed his Ph.D. in Statistics from Soochow University, China 🎓, focusing on the properties and construction of three-level designs with less β-aberration. With a strong academic foundation from Quaid-I-Azam University, Islamabad 🇵🇰, he has excelled in teaching roles at various institutions. Umer’s research interests include experimental design, applied statistics, and survey sampling 📈. He has contributed to numerous publications and actively participates in international conferences 🌍. Umer’s passion for statistics drives his quest for innovative solutions in the field 📚.

Publication Profile

Scopus

Education

Umer Daraz embarked on his academic journey at Punjab University, Lahore, Pakistan, where he earned a B.Sc in Mathematics, Statistics, and Economics from September 2009 to July 2011 🎓. He then pursued an M.Sc in Statistics at Quaid-I-Azam University, Islamabad, Pakistan, completing it between March 2012 and January 2014 📊. Umer continued his studies at the same university, achieving an M.Phil in Statistics from September 2014 to July 2016 📚. Finally, he earned his Ph.D. in Statistics from the School of Mathematical Sciences, Soochow University, Suzhou, China, from September 2019 to June 2023 🎓

Professional Experience

From September 2016 to May 2018, Umer Daraz served as a lecturer in the Department of Statistics at Federal Kintaar College, Rawalpindi, Pakistan 👨‍🏫. He was also a visiting lecturer at Riphah International University, Islamabad, from September 2016 to February 2017, where he taught Survey Sampling and Sampling Techniques 📊. Additionally, Umer taught Business Statistics at the Federal Urdu University, Islamabad, from March 2016 to August 2016 📚. His journey also includes a stint from March 2015 to February 2016 as a visiting lecturer in Business Mathematics and Statistics at Riphah International University 📈.

Research Focus

Dr. Umer Daraz’s research primarily focuses on statistical methodologies and their applications 📊. His work spans areas like experimental design, applied statistics, and survey sampling. He has a keen interest in developing new estimators and improving existing statistical techniques to handle extreme values and optimize data analysis processes 📈. Umer’s research also delves into the use of advanced statistical methods in medical and clinical studies, addressing methodological issues in predictive tools and risk assessment 📚. His contributions are aimed at enhancing the precision and reliability of statistical models in various fields 🌍.

Publication Top Notes

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling 📊 (0 citations), 2024

Methodological issues in use of MRI as a predictive tool 🧠 (0 citations), 2019

Methodological issues in predicting the occurrence of complications following corrective cervical deformity surgery 🏥 (3 citations), 2019

The American College of Chest Physician score to assess the risk of bleeding during anticoagulation in patients with venous thromboembolism: comment 💉