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

๐Ÿ‘ฉโ€๐Ÿซ Fatemeh Gharari, an Iranian statistician and Assistant Professor at the University of Mohaghegh Ardabili, specializes in Bayesian Statistics and Complex Systems. ๐Ÿ“Š With a PhD in Mathematical Statistics, she has authored numerous papers and books, exploring topics like fractional calculus and stochastic processes. ๐Ÿ“š As the Managing Editor of the Journal of Hyperstructures, she actively contributes to academic discourse. ๐ŸŽ“ Recognized for her academic achievements, she’s received awards and honors, including distinctions for her doctoral research. ๐Ÿ’ก 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:

๐ŸŽ“ Fatemeh Gharari’s academic journey began with a BSc in Applied Mathematics from Payamnoor University, Ardabil, Iran, laying the foundation for her mathematical prowess. ๐Ÿ“š 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. ๐Ÿ’ก 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. ๐ŸŒ 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:

๐Ÿ† Fatemeh Gharari’s academic excellence has been recognized with several prestigious honors and awards. ๐ŸŒŸ She stands out as the top graduate of the Department of Statistics at the University of Mohaghegh Ardabili, showcasing her exceptional dedication and talent. ๐ŸŽ“ In 2017, she was hailed as a Distinguished PhD Student within the same department, highlighting her significant contributions to statistical research and scholarship. ๐Ÿ“ˆ 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. ๐Ÿ“Š 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. ๐ŸŒŸ

Publication Top Notes:

  1. The discrete delta and nabla Mittag-Leffler distributions๐Ÿ“Š Cited by 8, 2018.
  2. Space-time fractional porous media equation: Application on modeling of S&P500 price return๐Ÿ“ˆ Cited by 6, 2021.
  3. A New Method for Generating Discrete Analogues of Continuous Distributions.๐Ÿ“Š Cited by 6, 2018.
  4. Some Fractional Special Functions and Fractional Moments๐Ÿ“š Cited by 6, 2013.
  5. Bayesian estimation in delta and nabla discrete fractional Weibull distributions๐Ÿ“Š Cited by 5, 2016.
  6. The generalized random variable appears the trace of fractional calculus in statistics๐Ÿ“š Cited by 5, 2015.
  7. A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics๐Ÿ“Š Cited by 4, 2023.
  8. An application of discrete fractional calculus in statistics๐Ÿ“Š Cited by 3, 2018.
  9. Variable-order porous media equations: Application on modeling the S&P500 and Bitcoin price return๐Ÿ“ˆ Cited by 2, 2024.
  10. A Pliant Model to Count Data: Nabla Poissonโ€“Lindley Distribution with a Practical Data Example๐Ÿ“Š Cited by 1, 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:

Scopus

Orcid

Google Scholar

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”„