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

๐Ÿ‘ฉโ€๐Ÿซ Dr. Fatemeh Gharari is an Iranian statistician and Assistant Professor at the University of Mohaghegh Ardabili. ๐Ÿ“Š With a PhD in Mathematical Statistics, her expertise lies in Bayesian Statistics and Complex Systems. ๐Ÿ“ˆ She serves as Managing Editor for the Journal of Hyperstructures and has published extensively in reputable journals. ๐Ÿ“š Dr. Gharari’s research focuses on fractional distributions and their applications, with a keen interest in cognitive science and teaching. ๐Ÿง  Fluent in Turkish, Farsi, and English, she is an accomplished academic with numerous awards and a dedicated mentor to her students.

 

Publication Profile:

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Education:

๐Ÿ“š Dr. Fatemeh Gharari embarked on her academic journey with a Bachelor’s in Applied Mathematics from Payamnoor University, Iran, from 2007 to 2010. ๐ŸŽ“ She continued her pursuit of knowledge with a Master’s in Pure Mathematics at the University of Mohaghegh Ardabili, graduating in 2013. ๐Ÿ“ˆ Dr. Gharari’s passion for statistical analysis led her to pursue a PhD in Mathematical Statistics at the same university, culminating in 2019. ๐ŸŒ Seeking further enrichment, she broadened her horizons as a Visiting Student at McMaster University, Canada, from 2018 to 2019. ๐ŸŒŸ This diverse educational background has equipped her with a comprehensive understanding of mathematical principles and statistical methodologies.

 

Awards and Honors:

๐Ÿ… Dr. Fatemeh Gharari’s academic excellence has been consistently recognized through prestigious honors and awards. ๐ŸŒŸ 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. ๐ŸŽ“ 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. ๐Ÿ† 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:

๐Ÿ” Dr. Fatemeh Gharari’s research focus primarily revolves around the exploration and application of fractional calculus in statistical modeling and analysis. ๐Ÿ“Š Her work encompasses diverse areas such as Bayesian estimation, discrete fractional calculus, stochastic processes, and the development of novel distributions through fractional techniques. ๐Ÿ“ˆ 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. ๐Ÿ’ก 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 ๐Ÿ“Š Cited by 8 ๐Ÿ“… 2018
  2. Space-time fractional porous media equation: Application on modeling of S&P500 price return ๐Ÿ“ˆ Cited by 6 ๐Ÿ“… 2021
  3. A New Method for Generating Discrete Analogues of Continuous Distributions. ๐Ÿ“Š Cited by 6 ๐Ÿ“… 2018
  4. Some Fractional Special Functions and Fractional Moments ๐Ÿ“Š Cited by 6 ๐Ÿ“… 2013
  5. Bayesian estimation in delta and nabla discrete fractional Weibull distributions ๐Ÿ“Š Cited by 5 ๐Ÿ“… 2016
  6. The generalized random variable appears the trace of fractional calculus in statistics ๐Ÿ“Š Cited by 5 ๐Ÿ“… 2015
  7. A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics๐Ÿ“Š Cited by 4 ๐Ÿ“… 2023
  8. An application of discrete fractional calculus in statistics ๐Ÿ“Š Cited by 3 ๐Ÿ“… 2018
  9. Variable-order porous media equations: Application on modeling the S&P500 and Bitcoin price return๐Ÿ“ˆ Cited by 2 ๐Ÿ“… 2024
  10. A Pliant Model to Count Data: Nabla Poissonโ€“Lindley Distribution with a Practical Data Example๐Ÿ“Š Cited by 1 ๐Ÿ“… 2023

Mehmet Merdan | Mathematics | Best Researcher Award

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Dr. Mehmet Merdan | Mathematics | Best Researcher Award

Dr. Mehmet Merdan, GรผmรผลŸhane University, Turkey

Prof. Dr. Mehmet Merdan, a distinguished mathematician, holds a rich academic journey, earning his Ph.D. in Mathematics from KTU in 2009. Currently a Professor at GรผmรผลŸhane University, his expertise extends from teaching to supervising notable theses. He has delved into diverse research projects, including the stochastic analysis of immune system models. Prof. Merdan actively contributes to academia, serving in various administrative roles, such as Vice President and Director. His commitment to excellence is evident through awards, including TUBITAK-ULAKBฤฐM’s International Scientific Publications Encouragement Award. ๐ŸŽ“โœจ

Publication Profile:

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Education:

Prof. Dr. Mehmet Merdan boasts an impressive academic journey, commencing with a Mathematics degree from 19 May Science and Literature in 1997. His passion for Mathematics led to an M.Sc. and Ph.D. from KTU Institute of Science and Technology in 2003 and 2009, respectively. As an Associate Professor and later a Professor at GรผmรผลŸhane University since 2015, his expertise shines in diverse areas. ๐ŸŒ His master’s thesis, guided by Assoc. Prof. Erhan CoลŸkun, focused on branch analysis for two-dimensional systems of differential equations. Prof. Dr. CoลŸkun also advised on Merdan’s Ph.D. thesis, exploring Enhanced Laser-McKenna Suspension Bridge Oscillation Models. ๐ŸŽ“โœจ

Awards :

Prof. Dr. Mehmet Merdan’s academic prowess is underscored by prestigious awards at GรผmรผลŸhane University. In 2012 and 2013, he clinched the first prize for the highest number of SCI International Scientific Publications, affirming his significant contributions to scholarly literature. ๐Ÿ†๐Ÿ“š This recognition highlights his dedication to advancing scientific knowledge and underscores the impact of his research in the global academic community. Prof. Dr. Merdan’s commitment to excellence is not only demonstrated through his prolific publication record but also serves as an inspiration for aspiring researchers within and beyond GรผmรผลŸhane University. ๐ŸŒโœจ

Research Focus:

Prof. Dr. Mehmet Merdan’s extensive body of work reveals a prominent research focus in applied mathematics, particularly in the modeling and numerical analysis of infectious diseases. His studies, such as “On the numerical solution of the model for HIV infection of CD4+ T cells” and “Deterministic stability and random behavior of a Hepatitis C model,” showcase a dedication to understanding the dynamics of various infections. ๐Ÿงฎ๐Ÿ”ฌ His expertise extends to employing advanced mathematical techniques like differential transformation methods, providing valuable insights into the behavior of complex systems. Prof. Dr. Merdan’s research significantly contributes to the intersection of mathematics and epidemiology. ๐ŸŒโœจ

Publication Top Notes:

  1. On the numerical solution of the model for HIV infection of CD4+ T cells
    • Cited by: 114
    • Year: 2011 ๐Ÿ“š๐Ÿ”ฌ
  2. Solving a fractional order model of HIV infection of CD4+ T cells
    • Cited by: 83
    • Year: 2011 ๐Ÿงฎ๐Ÿ“Š
  3. The modified algorithm for the differential transform method to solution of Genesio systems
    • Cited by: 77
    • Year: 2012 ๐Ÿ”„๐Ÿ“ˆ
  4. Homotopy perturbation method for solving a model for HIV infection of CD4+ T cells
    • Cited by: 76
    • Year: 2007 ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ“‘
  5. On the solutions fractional Riccati differential equation with modified Riemann-Liouville derivative
    • Cited by: 69
    • Year: 2012 ๐Ÿ“๐Ÿ”
  6. A multistage differential transformation method for approximate solution of Hantavirus infection model
    • Cited by: 66
    • Year: 2012 ๐ŸŒ๐Ÿฆ 
  7. Solutions of time-fractional reaction-diffusion equation with modified Riemann-Liouville derivative
    • Cited by: 61
    • Year: 2012 โŒ›๐Ÿ”
  8. Adaptive multi-step differential transformation method to solving nonlinear differential equations
    • Cited by: 55
    • Year: 2012 ๐Ÿ”„๐Ÿ“Š
  9. Numerical simulation of fractional Fornberg-Whitham equation by differential transformation method
    • Cited by: 51
    • Year: 2012 ๐Ÿ“Š๐Ÿ“ˆ
  10. Comparison of stochastic and random models for bacterial resistance
    • Cited by: 27
    • Year: 2017 ๐Ÿฆ ๐Ÿ”„