Neelesh Shankar Upadhye | Probability and Statistics Award | Best Researcher Award

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Prof Dr. Neelesh Shankar Upadhye | Probability and Statistics Award | Best Researcher Award

Prof Dr. Neelesh Shankar Upadhye, Indian Institite Of Technology Madras, India

🎓 Prof. Dr. Neelesh Shankar Upadhye, renowned mathematician, earned his Ph.D. in Mathematics from IIT Bombay in 2009, with a remarkable 9.67/10. With a rich academic background including an M.Sc. from IIT Bombay and a B.Sc. from Wilson College, Mumbai, he has excelled in teaching and research. Currently a Professor at IIT Madras, he has significantly contributed to various courses, enhancing student learning experiences. With expertise in areas like Applied Statistics, he’s garnered praise for his innovative teaching methodologies. Upadhye’s dedication to education and quantitative research reflects his commitment to academic excellence. 📚

 

Publication Profile

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Academic Achievements:

Dr. Neelesh Shankar Upadhye boasts an impressive academic journey, culminating in a Ph.D. in Mathematics from IIT Bombay in 2009, where he also earned his M.Sc. and B.Sc. degrees. His doctoral thesis, supervised by Professor P. Vellaisamy, focused on “Compound Negative Binomial Approximations to Sums of Random Variables.” 📚

🏆 Professional Experience

With over a decade of teaching experience, Upadhye has held prestigious positions at IIT Madras, currently serving as a Professor. His expertise extends beyond academia, having worked as a Quantitative Researcher at Dolat Investments Ltd. 🏛️

🏅 Awards and Recognitions

Upadhye’s scholarly contributions have been acknowledged with numerous awards, including Senior and Junior Research Fellowships from CSIR and IIT Bombay. His qualifications and dedication underscore his status as a distinguished academician and researcher in the field of mathematics. 🌟

 

Research Focus

Dr. Neelesh Shankar Upadhye’s research primarily centers around probabilistic methods and statistical approximations, with a particular emphasis on compound distributions and their applications in diverse contexts. His work delves into advanced topics such as Stein operators, discrete approximations, and tail behavior analysis of random variables. Upadhye’s contributions extend to developing novel techniques for estimating parameters in time series models and exploring the tail behavior of functions of random variables. Through his publications, he consistently explores and advances the boundaries of statistical theory and its practical applications, fostering a deeper understanding of complex probabilistic phenomena. 📊

Publication Top Notes

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:

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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