Mohammad Arashi | Statistics | Best Researcher Award

Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.

Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

Assoc Prof Dr. Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

Associate Prof in Mathematical Statistics | Qassim University (Saudi Arabia) – Mansoura University (Egypt) | Saudi Arabia

Short Bio

👨‍🏫 Dr. Mohamed Saber Eliwa, also known as Eliwa, M.S., is a dedicated associate professor specializing in mathematical statistics. He serves in the Department of Mathematics at Mansoura University, Egypt, and the Department of Statistics and Operation Research at Qassim University, Saudi Arabia. Additionally, he holds an honorary research position at the International Telematic University Uninettuno in Italy. His diverse interests encompass calculus, linear algebra, probability distributions, biostatistics, and more.

Profile

SCOPUS

Education

🎓 Dr. Eliwa obtained his Ph.D. in mathematical statistics from Mansoura University, Egypt, in March 2017, under the supervision of Prof. Mir Massom from Ball State University, USA. Prior to this, he completed his pre-doctorate in 2015, his master’s in mathematical statistics and computer science in 2014, his pre-master’s in 2011, and his bachelor’s degree in 2010, all from Mansoura University, achieving “Very Good Honor” with the top rank in his class.

Experience

🔬 Since February 2022, Dr. Eliwa has been an associate professor at Qassim University. He has extensive teaching experience, including part-time online courses at the University of Nizwa, Oman, and various teaching roles at Mansoura University since 2011. He also teaches at the Misr Higher Institute for Commerce and Computers and the Nile Higher Institute for Engineering and Technology in Mansoura.

Research Interest

🔍 Dr. Eliwa’s research interests are broad and include calculus, linear algebra, probability distributions, biostatistics, applied probability, censored and recorded data, reliability analysis, applied statistics, estimation theory, and simulation. His work contributes significantly to both theoretical and applied aspects of these fields.

Awards

🏆 Dr. Eliwa has been recognized for his scientific excellence and international publishing. He is an active member of the Syndicate of Scientists in Mansoura and the Nile Sports Club. His contributions to the field have earned him positions on editorial boards and as a reviewer for numerous prestigious international journals.

Publications

📚 Dr. Eliwa has an extensive list of publications in various high-impact journals. Some notable ones include:

  1. A bivariate probability generator for the odd generalized exponential model: Mathematical structure and data fitting (2024) in Filomat, cited by articles in the same journal.
  2. Modelling veterinary medical data utilizing a new generalized Marshall-Olkin transmuted generator of distributions with statistical properties (2024) in Thailand Statistician.
  3. Different statistical inference algorithms for the new Pareto distribution based on type-II progressively censored competing risk data with applications (2024) in Mathematics.
  4. On q-generalized extreme values under power normalization with properties, estimation methods and applications to COVID-19 data (2024) in REVSTAT-Statistical Journal.
  5. A novel nonparametric statistical method in reliability theory: Mathematical characterization and analysis of asymmetric data in the fields of biological sciences and engineering (2024) in Heliyon.
  6. A discrete extension of the Burr-Hatke distribution: Generalized hypergeometric functions, different inference techniques, simulation ranking with modeling and analysis of sustainable count data (2024) in AIMS Mathematics.
  7. Failure rate, vitality, and residual lifetime measures: Characterizations based on stress-strength bivariate model with application to an automated life test data (2024) in Statistics, Optimization & Information Computing.