Mohammad Arashi | Statistics | Best Researcher Award

Prof.Mohammad Arashi | Statistics | Best Researcher Awardย 

Professor Ferdowsi University of Mashhadย  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.

Profileย 

Scopus

Education ๐ŸŽ“

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 ๐Ÿ…

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 ๐Ÿ“Š

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 ๐Ÿ†

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 ๐Ÿ“š

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.

Geethanjali S | Data Analytics | Best Researcher Award

Prof. Geethanjali S | Data Analytics | Best Researcher Award

Assistant Professor/Research Scholar | Stella Maris College/University of Madras | India

Short Biography ๐ŸŒŸ

S. Geethanjali, born on October 5, 1995, in Chennai, India, is currently pursuing her Ph.D. in Computer Science at the University of Madras. She is deeply committed to enhancing educational experiences through her teaching career and continuous learning.

Profile

ORCID

Education ๐Ÿ“š

Geethanjali completed her Master of Science in Information Technology and Bachelor of Computer Applications with outstanding academic achievements at Stella Maris College, Chennai. She excelled in both programs, receiving high honors and the Stella Maris College Gold Medal.

Experience ๐Ÿ’ผ

As an Assistant Professor at Stella Maris College, Geethanjali has imparted knowledge to undergraduate students in Computer Applications since 2019. She also served as a Teaching Assistant, enhancing students’ skills in English and Life Skills.

Research Interests ๐Ÿ”ฌ

Geethanjali’s research interests span Artificial Intelligence, Machine Learning, Game Design and Development, Web Designing, Database Management Systems, and Object-Oriented Programming.

Award ๐Ÿ†

Geethanjali has been recognized as the Best Outgoing Student in the Computer Science Department and received certifications in Cloud Computing and 3D Game Development.

Publications ๐Ÿ“„

  1. Towards building a competent Chatbot โ€“ An analogy of development framework, design techniques and intelligence
    • Journal: IJIRSET
    • Published Year: 2017
  2. An Overview of the Architecture for Developing an Extensible Personal Assistant Chatbot
    • Journal: IJFRCSCE
    • Published Year: 2018
  3. Instance Reduction Algorithm Based on Elitist Min-Max Ant Colony Optimization Technique