Fatemeh Gharari | Applied Mathematics | Women Researcher Award

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Assist Prof Dr. Fatemeh Gharari | Applied Mathematics | Women Researcher Award

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

👩‍🏫 Fatemeh Gharari, an Iranian statistician and Assistant Professor at the University of Mohaghegh Ardabili, specializes in Bayesian Statistics and Complex Systems. 📊 With a PhD in Mathematical Statistics, she has authored numerous papers and books, exploring topics like fractional calculus and stochastic processes. 📚 As the Managing Editor of the Journal of Hyperstructures, she actively contributes to academic discourse. 🎓 Recognized for her academic achievements, she’s received awards and honors, including distinctions for her doctoral research. 💡 Passionate about teaching and cognitive science, she mentors students and engages in research projects focusing on statistical methods and applications.

Publication Profile:

Google scholar

Education:

🎓 Fatemeh Gharari’s academic journey began with a BSc in Applied Mathematics from Payamnoor University, Ardabil, Iran, laying the foundation for her mathematical prowess. 📚 She continued her pursuit of knowledge, obtaining an MSc in Pure Mathematics from the University of Mohaghegh Ardabili, Ardabil, Iran, further honing her analytical skills. 💡 Driven by a passion for statistical inquiry, she embarked on a PhD in Mathematical Statistics at the same institution, delving deep into the intricacies of data analysis and inference. 🌍 To broaden her academic horizons, she became a Visiting Student at McMaster University, Hamilton, Ontario, Canada, enriching her scholarly perspective with international exposure.

Awards and Honors:

🏆 Fatemeh Gharari’s academic excellence has been recognized with several prestigious honors and awards. 🌟 She stands out as the top graduate of the Department of Statistics at the University of Mohaghegh Ardabili, showcasing her exceptional dedication and talent. 🎓 In 2017, she was hailed as a Distinguished PhD Student within the same department, highlighting her significant contributions to statistical research and scholarship. 📈 Additionally, her academic prowess was evident early on, as she was honored as a Distinguished Student in the Province of Ardabil back in 2000, laying the groundwork for her future academic achievements.

Research Focus:

Fatemeh Gharari’s research focus lies predominantly in the realm of fractional calculus and its applications in statistics. 📊 Her work delves into the intricacies of discrete fractional distributions, stochastic processes, and special functions, aiming to provide novel insights and methodologies for statistical inference. Through her exploration of fractional calculus, she contributes to advancing the understanding of complex systems and mathematical modeling in various fields. With a keen interest in Bayesian statistics and mathematical analysis, Gharari’s research endeavors seek to bridge theoretical concepts with practical applications, paving the way for innovative approaches to data analysis and decision-making processes. 🌟

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.