Sadaf Khan | Probability and Statistics | Best Scholar Award

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Dr. Sadaf Khan | Probability and Statistics | Best Scholar Award

Dr. Sadaf Khan, The Islamia University of Bahawalpur, Pakistan

👩‍🏫 Dr. Sadaf Khan, a dedicated statistician, earned her PhD and MPhil in Statistics from Islamia University Bahawalpur. With a robust academic background including a Master’s and Bachelor’s in Statistics and Mathematics, she excels in statistical modeling and data analysis using tools like R, Mathematica, and SPSS. Dr. Khan has contributed significantly to research, publishing numerous articles in HEC-recognized journals. Her interests span Distribution Theory, Statistical Modeling, and Applied Statistics. Currently serving as a Visiting Lecturer at Islamia University Bahawalpur and Cholistan University of Veterinary & Animal Science, she aims to pursue a career in administration within an esteemed international organization. 📊

 

Publication profile

Scopus

Orcid

Education 🎓📚

PhD in Statistics, 2022
Islamia University Bahawalpur, Pakistan

Masters in Philosophy (Statistics), 2016
Islamia University Bahawalpur, Pakistan

Master’s in Statistics, 2010
Islamia University Bahawalpur, Pakistan

B.Sc (Mathematics, Statistics & Economics), 2008
Islamia University Bahawalpur, Pakistan

 

Research Focus

Sadaf Khan, a prolific researcher, focuses on statistical modeling and applications across various disciplines. Her research spans diverse areas such as climate-related data analysis using bivariate q-generalized extreme value distributions, COVID-19 and cancer data modeling with generalized Burr-Hatke models, and statistical inference under progressive type-II censoring schemes. She also contributes significantly to new lifetime models in biomedical and environmental data, including applications of new family distributions like the gamma power half-logistic model. Khan’s work combines theoretical developments with practical applications, showcasing her expertise in statistical methodologies and their real-world implications. 📊🔬

 

Publication Top Notes

Bivariate q- generalized extreme value distribution: A comparative approach with applications to climate related data

Modeling to COVID-19 and cancer data: Using the generalized Burr-Hatke model

KAVYA-MANOHARAN WEIBULL-G FAMILY OF DISTRIBUTIONS: STATISTICAL INFERENCE UNDER PROGRESSIVE TYPE-II CENSORING SCHEME

Analysis of COVID-19 and cancer data using new half-logistic generated family of distributions

The gamma power half-logistic distribution: theory and applications

A New Family of Lifetime Models: Theoretical Developments with Applications in Biomedical and Environmental Data

The Binomial–Natural Discrete Lindley Distribution: Properties and Application to Count Data

The Generalized Odd Linear Exponential Family of Distributions with Applications to Reliability Theory

A new extended gumbel distribution: Properties and application

The Minimum Lindley Lomax Distribution: Properties and Applications

An Extension of Karrup–King–Newton Index

New Modified Burr III Distribution, Properties and Applications

Fatemeh Gharari | Probability | Women Researcher Award

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Assist Prof Dr. Fatemeh Gharari | Probability | Women Researcher Award

Assist Prof Dr. Fatemeh Gharari, University of Mohaghegh Ardabil, Iran

👩‍🏫 Dr. Fatemeh Gharari is an Iranian statistician and Assistant Professor at the University of Mohaghegh Ardabili. 📊 With a PhD in Mathematical Statistics, her expertise lies in Bayesian Statistics and Complex Systems. 📈 She serves as Managing Editor for the Journal of Hyperstructures and has published extensively in reputable journals. 📚 Dr. Gharari’s research focuses on fractional distributions and their applications, with a keen interest in cognitive science and teaching. 🧠 Fluent in Turkish, Farsi, and English, she is an accomplished academic with numerous awards and a dedicated mentor to her students.

 

Publication Profile:

Scopus

Google Scholar

Education:

📚 Dr. Fatemeh Gharari embarked on her academic journey with a Bachelor’s in Applied Mathematics from Payamnoor University, Iran, from 2007 to 2010. 🎓 She continued her pursuit of knowledge with a Master’s in Pure Mathematics at the University of Mohaghegh Ardabili, graduating in 2013. 📈 Dr. Gharari’s passion for statistical analysis led her to pursue a PhD in Mathematical Statistics at the same university, culminating in 2019. 🌐 Seeking further enrichment, she broadened her horizons as a Visiting Student at McMaster University, Canada, from 2018 to 2019. 🌟 This diverse educational background has equipped her with a comprehensive understanding of mathematical principles and statistical methodologies.

 

Awards and Honors:

🏅 Dr. Fatemeh Gharari’s academic excellence has been consistently recognized through prestigious honors and awards. 🌟 She proudly holds the title of the top graduate of the Department of Statistics at the University of Mohaghegh Ardabili, a testament to her exceptional performance and dedication. 🎓 In 2017, she was bestowed with the honor of being named a Distinguished PhD Student in the Department of Statistics, further highlighting her scholarly achievements and contributions. 🏆 Additionally, Dr. Gharari’s outstanding academic prowess was acknowledged earlier in her career when she was recognized as a Distinguished Student in the Province of Ardabil in 2000, setting the stage for her future success.

Research Focus:

🔍 Dr. Fatemeh Gharari’s research focus primarily revolves around the exploration and application of fractional calculus in statistical modeling and analysis. 📊 Her work encompasses diverse areas such as Bayesian estimation, discrete fractional calculus, stochastic processes, and the development of novel distributions through fractional techniques. 📈 By leveraging fractional methodologies, Dr. Gharari contributes significantly to enhancing statistical methodologies and their practical applications in various fields including finance, cryptography, and image encryption. 💡 Her expertise in this domain underscores her commitment to advancing statistical theory and its real-world implications, fostering innovation and problem-solving in statistical research.

 

Publication Top Notes:
  1. The discrete delta and nabla Mittag-Leffler distributions 📊 Cited by 8 📅 2018
  2. Space-time fractional porous media equation: Application on modeling of S&P500 price return 📈 Cited by 6 📅 2021
  3. A New Method for Generating Discrete Analogues of Continuous Distributions. 📊 Cited by 6 📅 2018
  4. Some Fractional Special Functions and Fractional Moments 📊 Cited by 6 📅 2013
  5. Bayesian estimation in delta and nabla discrete fractional Weibull distributions 📊 Cited by 5 📅 2016
  6. The generalized random variable appears the trace of fractional calculus in statistics 📊 Cited by 5 📅 2015
  7. A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics📊 Cited by 4 📅 2023
  8. An application of discrete fractional calculus in statistics 📊 Cited by 3 📅 2018
  9. Variable-order porous media equations: Application on modeling the S&P500 and Bitcoin price return📈 Cited by 2 📅 2024
  10. A Pliant Model to Count Data: Nabla Poisson–Lindley Distribution with a Practical Data Example📊 Cited by 1 📅 2023